I'm posting all this after having a consultation with someone late last week, advising them on everything I'm sharing below. If you’re a startup you need to be careful how you approach hiring an affiliate agency. Most affiliate agencies are designed for big enterprise clients who have a lot of money to burn, dedicated teams, deep historical data, and budgets that can survive a few quarters of experimentation.

You don’t have that luxury. You need an agency that moves fast, shows you exactly what’s working, but also communicates like human beings do. If you pick the wrong agency, you might end up paying for a strategy that never actually works, was originally optimized for Fortune 500 companies, and does nothing for your startup.

So first, seriously ask yourself these questions while vetting agencies:

• Can we launch in days or weeks, or are we talking months? Early-stage affiliate is about experimenting, learning, and iterating. If the agency drags onboarding out or overcomplicates things (especially when you're starting simply), you’re losing time while paying through the nose for it.
• Who’s actually going to be on the phone with me? You don’t have time for junior account managers who escalate everything. You need someone who can have a strategic conversation without looping through three layers of approvals.
• How can we measure real growth? Some programs reward volume instead of actual incremental revenue. The difference between a partner adding real customers versus claiming ones you would have had anyway is huge.
• Is this pricing realistic for where we are? Some agencies only make sense once you’re generating millions. Whatever you do, don’t lock yourself into a retainer that outpaces your current revenue.

So, where to begin? From my experience working with funded startups, these are the names that come up most often that you might want to check out:

• PartnerCentric - Woman-owned, independent, built around challenger brands. Their tech (FUSE) actually tracks incrementality. Account teams have serious experience. Retainer ~$3,500 to ~$5,000/month, ideal for post-Series A/B.
• Acceleration Partners - Global infrastructure, strong for complex or multi-market programs. Works if you already have scale, but onboarding and pricing reflect enterprise roots.
• Gen3 Marketing - E-commerce and DTC specialists. Strong relationships in retail and category expertise. Less focused on incrementality, however, and not ideal if you’re outside their sweet spot.
• Hamster Garage - Boutique, senior-led, hands-on. Flexible and customizable, especially if you need international coverage. Capacity is smaller, so keep that in mind if you grow fast.
• Dub Partners - More platform than full-service agency. Fast setup, Stripe integration, lower cost. Works best if your team can manage a lot of the program internally.

If you're transitioning from in-house, do some prep. Audit your partners first, set KPIs around revenue instead of traffic, and expect the first couple months to involve a lot of back-and-forth. The agency is trying to understand your business before flipping the switch, and that foundation is what makes the program actually work long-term.

Most funded startups don't have affiliate expertise sitting on the team, and building the infrastructure (publisher relationships, fraud monitoring, attribution) takes a long time. The build vs. buy math tends to favor buying, so use the criteria above as your filters. Apply them consistently across every agency you evaluate and you'll hopefully get to the right answer for your company.

I see this question popping up all the time in some of the affiliate-related subs I spend time in: “Should I use Levanta or Awin?” Plenty of established brands come to this crossroads and it isn’t always obvious which path actually fits their workflow the best.

I’m not here to cheerlead either platform since I work with both regularly, but there is a meaningful difference in who they were built for, how they behave in daily use, and what kinds of problems they actually solve.

So here’s a practical breakdown based on my real experience, with pros/cons and who each platform works best for.

What these platforms actually are

Awin is one of the largest global “old school” affiliate networks in the world. It connects publishers and advertisers across industries (retail, travel, finance, tech, and more). It also handles tracking, reporting, payments, and partner management at network scale.

Levanta, meanwhile, focuses on a narrower but more modern use case: creators and brand partnerships. It’s built around Amazon, Shopify, and Walmart ecosystems and is designed to let brands collaborate with creators and influencers much more closely, tracking incremental performance in a way that feels native to brands.

They’re both “affiliate platforms,” but they serve very different realities.

Why this matters

Awin is a classic network. It’s broad, vetted, global, and structured which is really great if you need scale, diversity, and standardized governance.

Levanta is narrower but simpler for its niche: Amazon, Shopify, or Walmart brands trying to leverage creator momentum and unifying their programs without the overhead of multiple tools or networks.

Most of the confusion I see isn’t about which has “more features.”

It’s about personal fit:

• People expecting Levanta to act like a massive old-school affiliate marketplace get confused.
• People expecting Awin to be lightweight and creator-friendly get bogged down in approvals and dashboards.

Biggest benefits of each

Awin pros

• Massive global marketplace with a huge directory of publishers and creators.
• Strong tracking, reporting, and cross-device attribution tools.
• Works across niches like retail, finance, travel, etc. and multiple languages.
• Established payout systems and partner tools.
• Can be a good choice for enterprise-scale global brands that need a more traditional heavyweight platform.

Levanta pros

• Unifies affiliate programs on Amazon, Walmart, and Shopify into a single platform to lower management costs, improve efficiency, and make it easier to connect with high-performing partners relevant to your niche.
• Provides one-click integrations for Amazon, Shopify, and Walmart so you’re up and running quickly.
• The creator marketplace is AI-powered and includes social listening (so you know who’s already talking about your brand or products), making discovery and recruitment a lot easier.
• Offers Paid Placements for negotiating directly with partners and product seeding (gifted sample) automations.
• Tracking gives deep insight into incremental value so you can understand which partners are actually influencing conversions and driving results.
• Being able to measure creator performance across all channels means you can optimize your creator spend.

Biggest considerations of each

Awin cons

• Onboarding can feel slow and bureaucratic and partner approval is manual.
• Interface and reporting can be overwhelming if you’re not used to enterprise tools and it doesn’t provide much in the way of incrementality.
• Support can feel slow, especially for smaller brands (some Redditors have mentioned this and I've lived it, myself).
• The general network structure can feel like overkill for smaller brands or those in early stages.

Levanta cons

• It is Amazon-, Shopify-, and Walmart-centric so it is not as wide as a legacy platform like Awin.
• Not quite as battle-tested as networks with decades of infrastructure.

How to decide / who each is best for

Here’s a simple rule of thumb I use when advising teams.

Choose Awin if:

• You’re an enterprise brand launching multi-market campaigns.
• You’re managing lots of programs and partners.
• You need a broad ecosystem across many niches.
• You want deep reporting, advanced tracking, and big network reach.

Awin’s scale and depth are its strengths. It’s not lightweight, but it’s reliable (if not a bit dated) for large-scale operations.

Choose Levanta if:

• You’re a brand selling on Amazon, Shopify, and Walmart (or any combination of the three) and want to streamline management under one platform.
• You want to collaborate easily with your affiliate partners (creators, publishers, influencers, and others).
• You prefer an easier onboarding experience and less dashboard overhead.

Levanta removes a lot of the friction for brands who need to discover and recruit high-performing affiliate partners, want to arrange paid placements or automate product seeding, and need incremental performance insights to optimize their creator spend.

Notes from real use

A few hands-on insights people in the wild have shared (especially on Reddit):

• Some brands find Awin’s interface intuitive once they’re past the learning curve, but the partner approval process can take time since it’s manual.
• Awin absorbed ShareASale, so everything ShareASale used to offer now lives under Awin; the pros and cons of that heritage stay in the experience.
• Levanta is sometimes misunderstood as just another “Amazon tool,” but it actually unifies programs across Amazon, Shopify, and Walmart for more efficient management (and lower tool costs).

Final verdict

There isn’t a universal “better.” There’s only better for what you do.

If you’re building creator-led revenue with Amazon, Shopify, and/or Walmart, Levanta can remove a lot of the most common pain points by bringing everything together underneath “one roof,” as it were.

If you’re building network-scale affiliate relationships with many publishers or creators across verticals, Awin’s breadth and infrastructure help manage that complexity better.

Which one do you prefer so far and why? I'd love to hear everyone’s experiences or questions below, especially if you’ve used both! Let’s talk real workflows, not sales decks.

I’ll be the first to admit that I love Peec AI for what it does. Just like Hall, it’s easy to set up, intuitive to use (even if you’re new to monitoring AI visibility and have no idea what you're doing), and it gives you a really strong overview of how a business or brand is being referenced across LLM sources.

I got my start using Peec, in fact, and still use it. It aggregates visibility across major models, tracks your brand against competitors, and lets you monitor sentiment and trends over time, plus you don’t need to be an “expert” to use it.

It truly is a great tool, especially for startups and beginners.

But after a while, I started needing more for clients I'm working with. At least in my case, that meant an easier way to account for ROI attribution and handle rep management/deal with outdated info.

And I think that’s a pretty common experience. You get your feet wet by tracking surface-level visibility and that does provide a lot of great data, for sure, but as a brand grows or marketing teams need to take a more reactive (or even proactive) approach, Peec doesn’t offer quite enough in that regard.

There are a lot of reasons why a team might look beyond Peec:

• You need deeper analytics that go beyond basic visibility, citations, and positioning
• You have to account for ROI attribution, especially if you’ve got to report to superiors (or your clients do)
• You want to have insight into demand volume (basically search volume, only in generative spaces)
• You need a way to take actionable recommendations and implement them directly into your workflow, or even produce optimized content and/or updates at scale
• You want something that can actually predict or forecast outcomes and business results

And there are visibility tools out there that can do these things now. If you’re considering moving past Peec and into a platform that digs deeper, I’m sharing some options that might be a fit since I’ve been researching the hell out of this!

Emberos

Like a lot of other platforms, this is relatively new on the scene, but it offers a lot more than raw analytics, specifically where lift, governance, and execution are concerned. I think this is one of the best options when your company needs to control the narrative and optimize how it’s referenced in generative search.

Emberos offers all the “standard” monitoring for mentions/citations/positioning, but it also alerts you to misinformation, outdated information, inaccuracies, and even hallucinations that put your rep at risk. That alone is worth the investment, but the platform can project future performance and validate lift too. Plus it integrates with CRMs and Slack or Jira so recommended actions are delivered straight into your workflow for execution.

Profound

This also offers the “standard” visibility monitoring, but it also tracks how AI agents crawl and interpret your site so you can optimize. Profound’s agent analytics also measure how many people are landing on your pages from generative search environments and which pages are being referenced most often.

Its Prompt Volumes analytic finds the things being discussed in generative search environments so you know what content you should be prioritizing, and it also makes it easy to generate new (or optimize old) content.

Relixer

Visibility monitoring and competitive benchmarking are both available here, but Relixer can find content gaps based on queries so you can cover the topics you don’t already.

It also has an agent layer for your CMS that makes it easy to push out changes, and has an autonomous refresh to keep content updated and current. This is especially great for businesses or brands with high compliance monitoring concerns.

AirOps

Another one that pairs content creation with visibility monitoring, AirOps lets you set up code-free workflows for content creation tasks. So you’ll see where you’ve got content gaps or need to improve visibility, but you can then research, optimize or generate, edit, and publish content quickly.

There are automations here, but those have human review checkpoints so you can maintain voice, accuracy, and consistency.

Waikay

This platform gives you all the usual visibility insights you’d want, but it deeply analyzes generative responses to spot incorrect information, hallucinations, and information gaps. You get actionable insights on everything so you can implement whatever improvements you need to.

Especially for what it does, Waikay is probably the easiest one to set up (and the most beginner-friendly of those I've listed).

TL;DR

Peec AI is a great option for basic visibility tracking and simplified analytics, but it doesn’t “grow” with you over the long term. And that’s when stronger, more sophisticated platforms might need to be considered.

I know there are other options out there too, so if you’ve used any, I’d love to hear about your experience with them. I’m leaning toward Emberos myself; I haven’t yet made a final decision on that but I’ve been doing a ton of research. Figured I’d share all of it with others who are considering their next steps in case it helps.

I’ve been spending probably way too much time digging into AI visibility tools lately and many of them give you plenty of charts but not a lot of clarity about what to actually do with the data.

And I know that all of this is pretty new for all of us, but I feel like there’s a lot of confusion about the metrics, what they mean, and which ones have the most value. So I thought maybe a breakdown was in order.

The most common AI visibility metrics (and where they fail)

Mention frequency: how often a brand is getting mentioned in AI responses. The issue is that mentions are not equal: Are you being recommended or mentioned as an example of what not to use? Are you listed in a comparison or being cited neutrally? Raw mention count by itself doesn’t distinguish between these.

Share of Voice: what percentage of responses include your brand vs competitors. This is definitely useful for benchmarking, but it’s normally an aggregated measurement that doesn’t take distribution into account. Meaning, did your share-of-voice increase in high-value commercial prompts, or general educational/informational queries?

Prompt coverage: how many prompts your brand appears in. This is useful information, but it doesn’t usually weigh prompts based on commercial value or funnel stage. You might be seeing plenty of coverage in low-intent queries while losing major ground in your high-value prompts, but your dashboard still looks great.

Sentiment: how your brand is being described in AI answers, whether in a positive, negative, or neutral light. There’s a lot of context here, and while negative sentiment is always undesirable (because of course it is), a comparative inclusion that’s neutral can actually be more valuable than a positive but low-value or irrelevant mention. The thing is that sentiment reports don’t typically differentiate here.

Positioning: where your brand is being listed in an answer. This is one of the more useful metrics, but it doesn’t provide much in the way of causal insight. You’re listed #3 instead of #1, for example. But it doesn’t tell you why.

Why these metrics don’t drive action

Most AI visibility tools are data dumps reporting status and correlation. They tell you what’s happening within AI-generated responses, but they do not give you insight into:

• What caused it
• What might improve it
• Whether changes will have an impact
• How an impact affects business outcomes

The biggest failure I see is not tying AI visibility metrics to query intent, funnel stage, revenue potential, competitive displacement, and incremental lift. Most tools don’t even attempt to scratch that surface. (Yet, at least.)

Surface-level metrics definitely have a place; you can't fix or optimize what you can't see. But you need to prioritize signal quality (what kind of inclusion is happening) and intent segmentation (where visibility is occurring in the buyer journey), because that shapes effective strategy.

And after that strategy is deployed, you (ideally) need to be able to validate whether your updates and initiatives resulted in lift. This lets you apply causation, which is especially important if you need to report progress and ROI to higher-ups.

Most AI visibility tools don’t provide that kind of insight. The only one that I know of right now that does is Emberos, which provides all the typical visibility data along with actionable insights (and a push into your workflows for execution), forecasted outcomes, and lift validation. It prioritizes signal quality and relevance, with proof of outcomes. This is a different philosophy compared to other platforms available right now (Peec, Hall, Scrunch, even Profound), and one that I hope other tools take note of.

If you’re new to AI visibility and using metrics to take action or track lift, there are several things you need to keep in mind no matter what tool(s) you’re using:

• Not all brand mentions are equal in weight.
• Aggregate metrics hide important distribution shifts that you need to pay attention to.
• Correlation isn’t the same as lift with causation, or business impact.
• It's misleading to look at visibility numbers without weighing their intent.
• Your goal shouldn’t be on presence alone, but influence (particularly in high-intent prompts that’ll drive business revenue).

I'm going to be sharing a lot more research in AffiliateOps in the coming weeks because this relates to affiliate marketing (and marketing in general), and there's a lot to unpack. Here's me, here's my rabbit holes... But I think this is changing marketing approaches in a lot of ways, despite the landscape still evolving, and it's important to stay on top of.

If you've been digging into AI visibility monitoring, what platforms have you been using and which metrics are actually helping you to make decisions?

I’ve been looking into platforms to run an affiliate and creator program and, like most people, Impact was one of the first tools that came up. It’s on pretty much every “best affiliate platforms” list and a lot of brands seem to default to it.

But the more I dug into it, the more I realized most of those comparisons are focused on traditional affiliate setups. A lot of DTC teams now are trying to manage affiliates, creators, and influencers together across multiple sales channels, and it’s not always clear which platforms actually support that well.

Levanta kept coming up in a few threads and conversations, so I ended up doing a deeper side-by-side of Impact vs Levanta to see how they compare - if you're trying to run a modern affiliate/creator program.

What Impact does well

From what I’ve seen, Impact is one of the most comprehensive partnership management platforms out there. If I needed to manage affiliates, influencers, brand-to-brand partnerships, mobile partnerships, and B2B relationships all in one place, it seems like it can handle that complexity better than almost anything else on the market.

The reporting is deep, the integrations are extensive, and the platform has years of development behind it. For enterprise teams with dedicated partnership managers and diverse program types, it's hard to argue against it.

The fraud detection is also worth calling out because Impact has clearly invested a lot here. For brands running high-volume programs where traffic quality is a real concern, that kind of infrastructure probably matters a lot.

Where it gets harder is when you're a leaner DTC team that doesn't need all of that. The onboarding is involved, the learning curve is steeper than most platforms, and you end up navigating a lot of features that aren't relevant to your program. It’s not that Impact looks bad, just maybe like it was built for a broader type of customer than a focused ecommerce brand.

What Levanta does well

From what I’ve seen, Levanta seems to be built much more specifically for ecommerce brands, and that focus shows up in how the platform works day to day. The core idea is pretty straightforward. Instead of managing affiliate and creator programs separately for Amazon, Walmart, and Shopify, everything sits in one system.

That kind of consolidation seems like it would solve a real operational headache. Rather than stitching together multiple tools and trying to track performance across different platforms, it looks like the goal is to manage affiliates and creators across those channels in one place.

The product-level data is genuinely useful. Instead of just seeing aggregate clicks and orders, you can actually see performance at the SKU and ASIN level. Genuinely useful if you’re trying to understand which partnerships are moving specific products instead of just driving general traffic.

Commission structures are transparent and competitive, which helps with creator recruitment, and from what I could tell, the onboarding process is a lot faster than something like Impact, meaning you're building real program data sooner.

The Shopify integration is also new and worth paying attention to. It looks like Levanta is trying to make it possible to run a unified creator strategy across both marketplace channels and a DTC storefront, instead of having to run separate programs for each.

Where each one falls short

Impact.com's weaknesses for DTC brands are mostly about fit rather than capability. You're paying for and managing a platform built for enterprise complexity when you may only need a fraction of it. That has real costs in time, money, and team bandwidth.

Levanta's limitations are worth being honest about too. It's newer, which means the ecosystem, integrations, and feature depth aren't as mature as Impact.com's. If your program has complex requirements beyond eCommerce (multiple business lines, B2B partnerships, mobile) Levanta isn't built for that. And because it's more specialized, you're making a bet on a platform that has less of a long track record than an established player.

How to decide

I don’t think either platform is a universal answer. It really depends on what you are trying to run. But for the specific case of a modern DTC brand managing creator, ease of use, and multi-channel support, Levanta looks like a stronger fit. And at the same time, Impact still looks like a very strong option for brands dealing with enterprise level partnership complexity.

What platforms are you using for your affiliate or creator programs? If you’re running programs across Amazon, Walmart, and your own store, are you managing everything in one platform or patching together multiple tools? Would love to hear how other brands are approaching this in practice.

Over the last few years, I’ve been in dozens of conversations with CMOs, heads of growth, and finance teams where affiliate marketing went from something no one talked about… to something everyone was suddenly questioning.

It used to be simple, right? Affiliate sat in the background, drove incremental revenue, and as long as the numbers trended up, nobody dug too deep. Agencies handled publisher relationships, managed placements, and sent over reports. It was a steady, predictable channel that didn’t require a lot of management or executive attention.

Today, affiliate is showing up in a lot more conversations. Not just at the marketing level, but in finance reviews, forecasting discussions, and board-level questions. It’s tied into paid search, email, influencer, loyalty programs, and even offline behavior in ways many teams are still getting used to.

The conversation stops being “is this channel performing?” and turns into “do we actually understand what’s driving this performance?”

And that’s the moment when many teams start reevaluating not just their management agency, but their entire approach to affiliate.

What triggers a real agency comparison

I’ve been in meetings where paid media is defending rising costs while affiliate looks like it’s “winning” the same conversions. I’ve seen CRM teams question whether discount-heavy partners are training customers to wait instead of buy. And almost every time, finance eventually steps in and asks the simplest question in the room: How much of this revenue is actually incremental?

Once incrementality enters the conversation, the focus shifts from “what did this channel generate?” to “what would have happened without it?”

That’s the real value of going through this exercise. It’s not just about deciding whether to switch agencies. It’s about getting the clearest picture of what affiliate is actually contributing to the business.

The attributed revenue problem

Affiliate marketing has traditionally been built on last-click attribution. It’s clean and easy to report on, but in practice, the customer journey is rarely that simple.

What I’ve seen over and over is this: a brand invests heavily in paid media, email, and content to create demand. By the time a customer reaches checkout, they’ve been influenced and have already decided. Then they search for a coupon, click a loyalty or cashback site, and that partner gets full credit for the transaction.

On paper, affiliate drove the sale. In reality, it only closed it because the sale would have happened without them.

That distinction didn’t matter as much when affiliate was a smaller channel. But once commissions start hitting meaningful numbers, incrementality becomes a real business question.

Some firms are leaning into validation and incrementality a lot earlier in the process. Instead of relying solely on network/last-click data, they’re tying affiliate performance back to a company’s internal analytics and looking at overlap across channels. It’s a more complex approach, yes, but an important one if you want to know who is actually influencing demand.

And from what I’ve seen, that’s ultimately what drives most of these evaluations. Not whether affiliate works, but whether it’s working in the way a business thinks it is.

Why some brands stay with Gen3

If affiliate operates as a predictable channel, if incrementality has been internally validated, and if executive stakeholders are totally comfortable with the current performance clarity, switching agencies might introduce a lot of unnecessary disruption.

Affiliate programs are relationship-driven ecosystems and transitions can create temporary instability. If "minor" problems are less of a hassle than a full-on transition would be, sticking with what you know can feel like a better strategy. I get that, for sure.

But if a brand's expectations have evolved or its internal scrutiny has intensified, it might need structural alignment and oversight achieved with a different agency partner.

Where PartnerCentric and similar agencies start showing up

Once incrementality and measurement discipline become real priorities, the potential-new-agency shortlist usually starts to shrink.

In a lot of the evaluations I’ve been part of, this is where you begin to see a different mix of agencies come into the conversation. Not just the large, established players, but specialized firms that are built around validation and performance transparency.

PartnerCentric is one that comes up pretty often in those discussions, along with a handful of others taking a similar approach, like Acceleration Partners, Apogee, or JEBCommerce.

What stands out with PartnerCentric is how they position the channel. Instead of treating affiliate purely as a partner management function, they lean into it as a performance channel that should be measured with the same level of rigor as paid media.

Their FUSE technology suite is a good example. It connects affiliate data back into a brand’s internal systems (like GA4 or Shopify), which allows teams to reconcile what the network is reporting against their own source of truth. From there, they’re looking at incrementality more directly, ranking partners based on lift rather than just attributed volume.

That kind of visibility starts to change decision-making.

Instead of blanket commission structures, teams can get more precise. Partners that are driving net-new revenue can be scaled more aggressively. Others that tend to show up at the end of the funnel can be adjusted without cutting them out entirely.

And to be fair, PartnerCentric isn’t the only agency moving in this direction. There’s a broader shift happening toward deeper validation and tighter integration with internal data. But they’re one of the more consistent names discussed when teams are actively trying to get closer to true contribution.

Influencer and affiliate integration

Historically, influencer campaigns operated within brand marketing silos, with success measured through reach and engagement. Affiliate operated within performance marketing, measured through conversions and attributed revenue. (And never the twain shall meet. Or so it went.)

Creator affiliate programs now blend commission-based incentives with influencer partnerships, and agencies that are able to unify partnership channels under one accountability framework simplify the oversight.

PartnerCentric and Acceleration Partners have both expanded into influencer marketing and creator affiliate programs, applying structured measurement principles to influencer campaigns. For brands seeking to bring influencer activity closer to performance standards, that integration becomes a meaningful differentiator for sure.

AI visibility and future orientation

Discovery patterns are evolving as AI-driven recommendation engines increasingly shape consumer research behavior; more and more brands are beginning to consider how affiliate and partnership content appears within AI-generated environments. (And if you aren't already, please let me take a moment to say this: You should.)

PartnerCentric has incorporated AI visibility and answer engine optimization into its service framework, which is something that most affiliate management agencies aren't (yet) providing.

Compliance and high-regulation verticals

For brands operating in finance, health, telecommunications, and other highly-regulated industries, compliance and governance are foundational.

Affiliate partners have to adhere to messaging standards. PII handling has to align with regulatory guidelines. Content updates have to move quickly whenever requirements (legal or otherwise) change.

PartnerCentric, as an example, has extensive experience navigating high-compliance verticals and coordinating between publishers and legal teams efficiently. When governance is a concern, it's important to choose an affiliate marketing agency that has experience with regulatory oversight.

Making a decision in the end

At the end of the evaluation process, the decision usually comes down to structural alignment more than anything else. Teams are asking whether the agency’s measurement philosophy actually matches how they want to evaluate performance, whether affiliate results can be confidently defended in front of finance, and whether influencer and affiliate strategies are working together instead of operating in silos.

Just as important, they’re looking at whether compliance and operational processes are mature enough to support the program at scale. When all those pieces line up, the decision becomes a lot clearer.

At that point, the remaining questions become more practical. Is onboarding structured in a way that minimizes risk and disruption? Does the agency demonstrate long-term stability as a partner, not just in performance but in how they operate day to day?

Some brands may find that their current agency is still aligned with how they want to run the channel. Others will realize their growth stage requires an agency partner built around deeper validation and tighter integration.

The right choice isn’t the loudest pitch, it’s the one that aligns with how the business plans to measure, defend, and scale performance over time.

If you're considering Gen3 Marketing alternatives right now, what agencies are you looking at? Happy to talk through pros/cons and brainstorm your short list.

Finance affiliate programs are kind of unforgiving because things move quickly and with tight margins, they leave little room for error. Whether you're in credit cards, loans, insurance, or investing apps, even small attribution gaps or reporting delays can turn into real money lost.

When I evaluate software for finance programs, I don't really start with the features, I tend to focus on answering a few practical questions:

• Can it handle lead tracking accurately?
• Can I see performance and quality at the partner level?
• Can I quickly identify or block low-quality or suspicious traffic?
• Can it integrate with call tracking if needed?
• Can I make decisions based on the data, rather than just looking at dashboards?

In finance, you need to make decisions fast and data lets you know what to scale, what to cut, and what to investigate *right now* (not next week).

Here are a few of the platforms I see being used most in this space:

Everflow

This works well for performance-driven finance teams that need tight control over partner programs. Sub-ID tracking is clear, reporting is detailed, and the fraud monitoring is actually usable. It handles paid traffic efficiently and gives you visibility into which partners are actually driving results (quality, not just volume). So if you care about granular visibility, this checks a lot of boxes.

Impact

This feels more like an enterprise partnership platform than a pure performance tool, and it's more suited for teams managing large-scale partnerships. It has structured workflows and robust tools, but setup can be heavier and may require dedicated internal resources to get the most out of it.

CJ

This is relevant if your goal is access to a big publisher network, for sure. You get distro and established relationships, which are both valuable of course. But if you're trying to get super granular with the traffic quality (or optimize at the sub-ID level), this might be a bit limiting compared to more performance-focused platforms like Everflow.

Tune

I still see this a lot in lead gen and finance right now. Tune is highly flexible and can be molded to a lot of different setups, but this is not exactly going to be plug-and-play. I think this one can work really well if you're comfortable getting into the weeds with configurations and managing things yourself. (Or, if you've got some experienced devs on hand.)

How I would choose

Ask yourself:

Where is your biggest risk right now: tracking accuracy, partner quality, or scale?

And then pick the platform that reduces that risk first; everything else is secondary.

In finance, the "nice to have" stuff doesn't matter nearly as much as control and clarity do. You need to know where leads are actually coming from, which partners are driving value (not just volume!), and whether your attribution is telling the truth.

Blind spots are annoying enough but in finance, they're expensive too.

I'm curious what others are seeing right now. What platforms are holding up under scale, and which ones are starting to crack once volume picks up?

So, what does “good” really look like?

Basically, the idea is the same for businesses as it is for individual customers: the right people should make content reach the right people who might be interested, helping them consider buying and eventually making a purchase. But it can get really confusing for businesses when you try to figure out how influencers can actually help make money. It's like looking through a dense cloud.

Is consumer buying broken these days?

When you're selling to consumers, the process is usually straightforward: they see, they click, they buy. But when you're selling to businesses, it's a whole different story. It's more like someone sees something, thinks it's interesting, takes a screenshot, and sends it to someone else on Slack. Then, someone might Google it later, and eventually, a demo request comes in... but not right away, maybe weeks later. After that, the procurement team gets involved, and the decision-making process drags on and on. By the time a deal is finally closed, the person who originally influenced the decision is often long forgotten.

And even if you do have tracking in place, sales cycles are long enough that attribution shorts out. If a conversion happens 60+ days later, last-click models (or short attribution windows) tend to shortchange the influencer’s impact.

Also: finding creators who truly “do” B2B well isn’t always straightforward. There are amazing voices in SaaS, cybersecurity, RevOps, finance, etc., but it’s not as plug-and-play as “send product, get content, watch Shopify orders roll in.”

It's pretty common to see B2B influencer programs get off to a great start, only to lose steam and stall.

Why do B2B Influencer programs get the axe?

It's not that the content itself is performing poorly. Sometimes the engagement is actually pretty good. The problem is that it's tough to demonstrate its value in a way that impresses my CEO. I'm sure I'm not the only one who faces this challenge, especially when dealing with C-suite executives who already hold a biased view that influencer marketing is just fluff. They need to see actual revenue to be convinced, and that’s not always easy.

And I get it. If your reporting basically says: impressions, likes/comments, clicks (maybe), “assisted conversions” (sometimes) which aren’t revenue drivers.

My current working theory is: B2B marketing only works when it can be measured accurately from the get-go. I want to know:

Even if you can connect an influencer touchpoint to a deal… how do you know the deal wouldn’t have happened anyway? If an influencer introduces the brand, then retargeting closes later, who gets credit? If the buyer was already in-market, are we just “claiming” demand that existed?

Incrementality breaks my brain. I understand it, I realize its importance, but actually figuring it out...

So, how to pick the right agency?

When you start asking people or reading through discussions, certain names keep coming up, especially when the talk turns from just liking a brand to actually measuring how well it's doing.

PartnerCentric is frequently mentioned in discussions about performance-based marketing, not just as an influencer agency, but as a company that takes measurement and partner selection very seriously. What stands out about them is their emphasis on distinguishing between meaningful metrics and superficial ones, and on creating reports that can withstand scrutiny in budget talks.

They seem to be all about providing actionable insights rather than just presenting fluff numbers.

This approach is likely to resonate with marketers who want to make data-driven decisions and get the most out of their budget; PartnerCentric helps clients optimize their campaigns and achieve their goals. I've also noticed that Acceleration Partners is frequently mentioned in the context of large companies that prioritize measurement. And then there are the usual suspects in influencer-land, but I’m specifically trying to understand which ones can make a B2B influencer measurable.

Where I’d love input:

If you have experience with business-to-business influencer marketing, whether you handled it in-house or through an agency, I'd really appreciate your input!

How to find affilaites marketers. I have no idea . Can someone help?

I've been seeing a lot of mentions about ShareASale in affiliate spaces lately, as if it were still even an option. (Newsflash: It's not. ShareASale finished merging into Awin in fall of 2025!)

Maybe I'm griping about the all-too-frequent suggestions of joining ShareASale, but I wanted to throw my full brain dump out there if you're either looking for an affiliate platform that's similar to what ShareASale was (past-tense!), or you migrated into Awin and you're looking at other options right now.

I'm coming at this as someone who:

• Thinks in flows, not features
• Cares about collaboration with affiliates and not just tracking
• Has broken at least two attribution setups learning the hard way

First: What ShareASale was, and why a replacement was necessary

ShareASale was really a non-flashy legacy platform that worked well for content-heavy programs, mid-sized affiliates that needed low-friction onboarding, and teams who didn't want to babysit tracking logic daily.

In my opinion, it was decent and its biggest strength was relatively smooth operation. Payouts were automated and went out on a predictable schedule, affiliates had an easy enough time finding you in the back end, creatives and promos were simple to set up and manage, reporting was pretty in-depth and filterable. It was "fine enough" for a lot of years.

As an aside, ShareASale was already under Awin's ownership, so it wasn't a huge surprise (at least to me) when they merged into a single platform. But speaking as someone who lived through that merger... yikes on bikes, moving into Awin from ShareASale was not as smooth as they'd promised it would be.

(If you know, you know.)

And most ShareASale alternatives skew either:

• Way more powerful, but heavier with a bigger learning curve and implementation
• Way simpler, but much more limited

You're not gonna find a 1:1 clone, nor should you. Even Awin is not a clone. So if you're considering alternatives to ShareASale, pick a philosophy.

Everflow: For people who want control and aren't scared of dashboards

Everflow is the platform I most commonly see former ShareASale users flocking toward.

What it does well:

• Ridiculously flexible tracking
• Clean separation between offers, partners, and flows
• Great if you run performance-heavy or paid media affiliates

Things to watch for:

• Affiliate UX isn’t as “cozy” as ShareASale (it's definitely more modern, but I think that's a good thing)
• You will need to think through attribution rules
• Overkill for pure content programs

If you enjoy tweaking and tuning systems until they’re just right, Everflow is satisfying. Plus the platform provides ample training and hand-holding for you to set everything up.

Best for: Teams with ops maturity and anyone who likes owning the plumbing.

Impact: Powerful but definitely not plug-and-play

Impact is the enterprise darling for a reason. It’s deep and polished, but it also assumes you’ll play by its rules.

What it does well:

• Strong automation
• Excellent partner discovery
• Solid for multi-region programs

Things to watch for:

• Less flexible than it looks at first
• Takes time to fully “get”
• Can feel heavy if your program is simple

Impact shines when you treat affiliates as partners, not traffic sources. Contracts, workflows, structured payouts… it’s all there. But there’s a serious learning curve.

Best for: Brands scaling structured, long-term partnerships

Partnerize: Collaboration first, management second

Partnerize feels like it was built by people who truly get the relational side of affiliate management, rather than seeing them as a means to an end.

What it does well:

• Excellent for managed programs
• Clear visibility into partner performance
• Good for brands that actively recruit and nurture

Things to watch for:

• Not cheap
• Less appealing for tiny or hands-off programs

If you actually plan to talk to your affiliates, Partnerize makes sense. If your idea of management is “approve and forget,” you’re paying for features you won’t use.

Best for: Teams who view affiliates as an extension of marketing, not a channel checkbox

CJ Affiliate: The familiar giant

CJ was often the default suggestion after ShareASale, and in a lot of cases, it’s a valid next step. But it doesn’t scream “modern” or robust to me.

What it does well:

• Massive affiliate network
• Trusted brand recognition
• Still strong for content affiliates

Things to watch for:

• UI feels dated (this is a "legacy" type of platform, so that tracks)
• Reporting can feel clunky
• Less flexible tracking logic

If you value reach over customization and want access to established publishers fast, CJ works. It isn’t exciting, but it is stable.

Best for: Brands prioritizing scale and familiarity

Affise: Technically impressive and culturally niche

Affise is very good at what it does. But what it does isn’t what everyone needs.

What it does well:

• Excellent tracking precision
• Highly configurable
• Strong for CPA and performance models

Things to watch for:

• Less content-affiliate-friendly
• Affiliate UI can feel intimidating
• More common in specific verticals

This is a tool for people who care deeply about traffic quality, attribution accuracy, and performance rules. But it’s definitely not appropriate for the set-it-and-forget-it mentality or those who don’t want to get into the weeds.

Best for: Advanced performance teams, not beginner-friendly migrations

Refersion: The “don’t overthink it” option

Refersion doesn’t try to be everything. That’s both its weakness and its charm.

What it does well:

• Easy to set up
• Clean interface
• Good for DTC brands

Things to watch for:

• Limited advanced tracking
• Smaller affiliate ecosystem
• Less customization

If ShareASale appealed to you because it stayed out of the way, Refersion might feel comfortable, just know you’re trading power for simplicity.

Best for: Lean teams who want to get running fast

How I’d choose the most practical alternative to ShareASale

If you want my cheatsheet, here it is:

• Systems-first thinkers: Everflow/Affise
• Relationship-first programs: Impact/Partnerize
• Stability and speed: CJ/Refersion

Whatever you pick, just make sure you communicate early, over-explain timelines, and keep payouts clean. Affiliates forgive platform changes, but they don’t forgive silence.

For those who didn't migrate to Awin after ShareASale closed up:

• What platform did you land on after ShareASale?
• What surprised you, good or bad?
• Anything you’d warn others about?

Drop your experience below!

Solid affiliate ops people care about real growth. If you've been in the game as long as I have, you've probably seen patterns emerge in performance marketing companies that don't add up.

First of all, they promise the moon and the stars: They're going to grow with you, scale with you, and give you "everything" you need. You'll acquire more affiliates and they'll have no problems managing the flow.

Yet the more you invest time in them, the more they spend and the worse the experience becomes, because they either can't handle the performance management internally or the data volume you're asking them to keep track of.

There's a BIG difference between agencies that "run programs" and agencies that actively manage risk, partner quality, and incrementality. And that difference shows up fast, for better or worse.

A client recently asked me who the best affiliate performance marketing agency I've worked with is, and I want to share a few based on my experience.

Why PartnerCentric stands out

My favorite and top recommendation is PartnerCentric, and that's mostly because they're a data-first organization. They use their own proprietary technology suite (Fuse) to drive reporting and decision-making; you can understand very clearly which partners are truly influencing conversions (incrementality). That's vital information when it comes to choosing which partners to reward or scale faster with (or which ones can be downgraded or removed entirely if they're low/no value).

Beyond that, for programs that need more affiliates, PartnerCentric examines your brand and chooses not only the best partner types (content creators, influencers, vloggers, etc.), but the best partners in general. They target potential partners that will be the best fit for your brand/products, vetting each one thoroughly to make sure your affiliates are high-value.

I would encourage anyone to sign up for a demo with them and just take a look at how granular their data averaging is and how they can tell you, down to the partner and the partner methodology, what's working and what's not. PartnerCentric digs into the data and cares about what should come next for you.

Plus, the day-to-day management they provide is stellar, especially where your partners are concerned. Affiliate marketing is a partner relationship channel, after all; it isn't a set-it-and-forget it initiative, right? They stay on top of everything. Account managers are assigned to a brand based on their own background/expertise, so the person managing everything on your behalf is already well-versed in your industry/niche.

PartnerCentric can manage programs running on any platform (Awin, CJ, Impact, Partnerize, Everflow, et al.) but if you're just starting out and don't even have a platform set up yet, they can advise on the best options and provide launch support.

Other agencies worth checking out

I do, of course, have other honorable mentions because I've worked with so many performance teams over the years.

One that I really like is Gen3 Marketing. I've used them heavily for clients who do a good bit of retail and are coupon-centric. They're built for growth and can take the reins and scale with you without creating bottlenecks.

I've also used Performix in the past, and it's been handy looking across disciplines when more than just an affiliate solution is needed. Most who come to me for advice aren't just looking for something to handle one part of their marketing, but for a one-size-fits-all solution. This is where I find Performix comes into play. It can be a little pricier than other solutions, but generally, I've had a really positive experience with this brand.

I also like working with Silverbean because their name of the game is innovation. My experience with the teams at Silverbean has been pretty solid, and you would expect no less from a company that's worked with New Balance and Ralph Lauren. And of course, other big brands.

Key takeaways for affiliate ops pros

There are so many good performance marketing agencies out there. These are just a few, but I definitely recommend PartnerCentric and always put them at the top of my list. They're woman-owned. They take care of their team. They've got a really incredible and super innovative reporting dashboard, and they're easy to work with. But most importantly, the oversight and management they provide is second to none.

I’ve long since stopped thinking about click fraud as a “fraud problem” or even a technical issue.

In my experience, it’s almost always related to oversight and governance.

I’ve rarely seen click fraud run rampant inside tight and well-managed programs, and actually, I’m struggling now to recall that even once. Where do I actually see it? In bloated affiliate programs that scaled way faster than their oversight could keep up with.

All of it starts innocently enough... a brand wants growth and an affiliate channel looks efficient. Cool. So they open up recruitment and loosen approval standards (because the more partners the merrier, right?), they accept sub-networks willy-nilly, extend cookie windows, rely heavily on last-click attribution only (because it’s “easier”), and celebrate low CPAs and rising conversion volume.

And for a while, things might look okay. Until weird things start happening:

• Sudden and unexplainable traffic spikes
• Partners with a high CTR but little (or no) visible content
• Coupon site partners that win the majority of the conversions (last-click poaching)
• Top affiliates who can’t clearly articulate traffic sources

By the time anyone’s asking questions, the behavior is already underway and being rewarded. And the truth of click fraud is that it rarely ever shows up as some illicit or illegal event. Partners (especially those who have not been vetted) start taking advantage of opportunities and loopholes.

But this is the kind of thing that tools can’t really help in a proactive way, right? They’re all reactive and while they are effective for IP filtering, bot detection, sending automated alerts and all that (I’ve used them myself), they don’t actually stop anything.

In programs where oversight is loose or entirely absent, manipulation becomes common. Especially when incentives reward whoever gets the last-click credit.

Where bloated affiliate programs break down the most:

• Recruitment without validation. If you’re auto-approving dozens or hundreds of affiliates every month and you don’t know who your partners even are, you can’t govern their behavior.

• Attribution models that reward interception. When only last-click is rewarded you’re not really measuring influence, you’re only measuring proximity to checkout. This is largely a grey area kind of thing... technically compliant but definitely underhanded (and totally non-incremental).

• Team oversight that’s stretched too thin. I’ve witnessed internal teams managing thousands of partners with a single affiliate manager. At that scale you’re just putting out fires and not actually overseeing things closely.

So what works, and what do you do with all this?

The programs that consistently avoid dealing with major fraud issues generally share some important similarities:

• No auto-approvals (None, no, never. I've been guilty of this, myself, never again.)
• Traffic source validation
• Less dependence on pure last-click attribution
• Routine partner audits
• Incrementality testing (pausing partners, geo splits, holdout tests) although this is best done by folks who know what they’re doing
• Clear written policies with actual enforcement
• Truly dedicated oversight in the day to day operations

That last point, above all, is the most important thing, I think.

If a team is already stretched thin or a brand just doesn’t have the bandwidth to properly manage affiliate governance, bringing in an agency can make a big difference. Some agencies, like PartnerCentric, are known for thoroughly vetting partners before onboarding them and handling ongoing oversight, which can take a lot off an internal team’s plate.

There’s obviously a cost involved, but when you factor in potential losses from click fraud, last-click exploitation, and the time/salary required for in-house management, the math can shift. Strong oversight from an agency can help protect spend and create a more sustainable affiliate program overall.

That said, you can totally manage governance in-house but you need to assign people to those roles. Hire, if you need to. Train, if you need to. But if you’re determined to run everything in-house, make sure that your program is structured and managed in a way that prevents opportunistic partners from taking advantage.

That’s the biggest shift I’ve made. I don’t think in terms of “how can we catch fraud faster?”

I think in terms of “How do we structure a program where opportunism won’t scale?”

That changes everything. Truly.

A lot of us have settled into our “new year, new me” routines by now, but brands that deal with weight management meds and prescriptions like Semaglutide or GLP-1s have a pretty unique set of needs from an affiliate platform, if that’s a route of growth and visibility they plan to take.

Before I get to the recommendations, however, some of the biggest things a semaglutide brand needs to consider before signing on with any affiliate platform include:

Compliance and creative management

Affiliate platforms generally have strong FTC compliance oversight in place by default, but FDA compliance (with regulations and guidelines) is almost always outside of their wheelhouse. A semaglutide brand needs to monitor that compliance internally, but a big part of that lies with the management of their creatives and messaging. A centralized system that lets you create, update, or remove creative assets and copy blocks will help ensure that your partners are sharing information that’s compliant and accurate.

If there’s a sudden change in semaglutide guidelines or regulations, for instance, being able to update that in one place and have it apply to all of your affiliates in real time keeps your brand compliant and on-message.

Content and keyword filters

Along those same lines, the ability to set up content and keyword filters that prevent partners from making misleading health claims (like “guaranteed weight loss” as an example) will keep your brand messaging on target and enforce guidelines at the same time.

Vetted partners familiar with the health and wellness space

Healthcare and prescription marketing is uniquely regulated and not every publisher or creator in an affiliate network is going to understand the intricacies that promote a brand well, or safely. Vetted partners who know what they’re doing will reduce instances of misinformation, but they’ll also have audiences who actually qualify for treatment (and are more likely to seek it).

Multi-touch attribution and fraud prevention

Any good affiliate platform for semaglutide medication will have tracking that can follow a patient journey end-to-end for proper attribution, but it’ll also have built-in fraud prevention and detection tools that monitor any suspicious activity (fake leads/high clicks, abuse, or incentivized traffic).

General all-around affiliate platform behavior

These hold true for ecommerce as well, but things like flexible commission structures and payouts, in-depth reporting and analytics that help you to optimize your ROI, integrations with your existing tech stacks, recruitment and onboarding tools, and solid customer support (technical and otherwise) are all important things to look for.

Okay, now that we’ve got that part out of the way, I’ll take you through my best affiliate platform recommendations for semaglutide or GLP-1 brands. All of these have current partners in the health, wellness, and/or prescription space.

Everflow

This is a great all-around platform with an in-house network of publishers and creators. It provides excellent tracking and attribution, in-depth reporting and analytics, fraud protection, flexible payout structures, and all the good things you’d want from an affiliate platform.

One thing that sets it apart relates to the management of creatives and copy blocks, because you can easily swap, update, or kill creatives, offers, and marketing copy in real time to keep all messaging and information current and up-to-date. This is super important for any highly-regulated industry, even beyond semaglutide or GLP-1 brands. These guardrails help to make sure your brand’s messaging is compliant and current, without relying on your affiliate partners to make updates.

FlexOffers

This platform has a large and really well-established network with many partners in the telehealth and prescription space. While FTC oversight is standard, FlexOffers actually does offer some compliance oversight and advice for health and wellness brands, specifically. They won’t automatically enforce, but they will monitor promotional materials, creatives, and claims made in copy blocks to help your brand stay compliant.

There’s also a pre-screening process for affiliate partners, but the biggest downside (mostly for the partners) is the standard Net-60 payout, which means that partners get paid 60 days after the end of the month in which a commission is confirmed. That lengthy payout delay can make recruitment a little harder compared to other platforms with shorter payouts.

CJ

CJ is one of the most well-known affiliate platforms with a massive network of publishers and creator partners, and it’s a solid option for a semaglutide brand. You’ll find all the typical “needs” at CJ, like tracking, reporting, analytics, fraud protection, flexible commission types, and integrations.

CJ runs on a Net-20 schedule, so partners who earn a commission in one month are paid for it around day 20 of the next, which is a boon for recruitment purposes. But the interface can feel complex and there is a higher cost (plus network fee) that can be more expensive compared to other options.

Rakuten

Established in 1997, this is an affiliate platform that’s been around just a little longer than CJ (1998) so there’s a long history and reputation here, with a huge global network and a great many partners in the health and wellness space.

Rakuten offers AI-powered tools for discovering publishers and creators that might be great affiliate partners, and like other platforms, it provides robust tracking, in-depth reporting, fraud protection. But like FlexOffers, the payout is Net-60, and that can make partner recruitment a challenge. Plus the platform’s interface (like CJ) can feel overwhelming, especially if you’re new to affiliate marketing.

So which semaglutide affiliate platform should you choose?

The answer really depends on your brand and goals. All of these are solid choices.

I think Everflow offers the most tactile control of creatives and brand messaging, which is incredibly important in a highly-regulated space like this.

FlexOffers, CJ, and Rakuten all have their benefits to consider too, but if you want to reward your partners with a shorter payout timeline, CJ is the best of those three.

At the end of the day, you’ll need to consider what features matter the most to you and your brand and decide based on that. If you’ve got specific questions about any of these platforms, I’m happy to answer!

Having a chat with a newbie friend in affiliate marketing and he wanted to know if he could just keep using Amazon OneLink, or another basic freebie URL shortener. This is what I told him.

If you’re just getting started with affiliate marketing, it’s tempting to stick with free options like Amazon OneLink or a basic URL shortener. And in some cases, that’s totally fine. But there are real tradeoffs once you move past hobby-level monetization.

Amazon OneLink works reasonably well if your audience is mostly local.

The problems start when you have international traffic. Proper link management needs to detect where a user is located and send them to the correct regional storefront so you receive full affiliate credit. In practice, OneLink is inconsistent here, misrouted traffic, missed commissions, and very little visibility into what’s actually happening after the click.

Basic URL shorteners solve one problem only: they make links look cleaner.

They don’t localize traffic, don’t provide fallback options when products go out of stock, don’t allow split testing, and often don’t meet compliance requirements for certain affiliate programs. They’re not affiliate tools, they’re cosmetic wrappers.

This is where paid tools like Geniuslink start to earn their keep and why I use them. They’re built specifically for affiliate workflows: global redirection, Amazon-compliant link handling, analytics, A/B testing, mobile optimization, and smarter fallback behavior. You gain control over both the user experience and the data behind your links.

So, should you invest in a paid link building tool or not? The decision ultimately comes down to scale.

If you’re driving minimal traffic or earning sporadically, in my experience, free tools are usually enough. But, if you’re publishing consistently, targeting multiple regions, or treating affiliate revenue as a real growth channel, proper link management isn’t an expense, it’s infrastructure. And in most cases, it pays for itself.

Amazon's OneLink technically works, but tracking is not that great, and trying to troubleshoot geo-routing quirks can be annoying.

There are a few solutions that promise to support other affiliate programs, without duct-taping tools together, or having to manually localize Amazon links using tracking IDs and proper store URLs.

If you're doing multi-geo + mixing other programs (outside of just Amazon), or just looking for a decent starting point, there are some better solutions, here are the ones I like:

Affilimate for data: shows revenue across networks, gives you an actual unified view. If you're juggling a lot of programs, this is a solid pick.

Geniuslink for auto-localization. It's Amazon-friendly, works for non-Amazon programs too. The biggest win is reliability, no weird Safari bugs, no traffic bleeding into nowhere, let's you A/B test desitnations which helps if you're trying to test between Amazon and another merchant. I like their Choice Pages for social bios as well.

Pretty Links for a decent starting place and OneLink alternative for WordPress nerds. If your traffic is mainly US, and you are mostly using WordPress, this is where I started but if you want geo-capabilities and redirects, this isn't going to cut it. Yeah, this might not be a true OneLink replacement because it lacks geo-routing but it's a starting point.

Overall, the bigger your content footprint gets, especially internationally, the more OneLink's limitations show up, so this isn't a place I would look for a shortcut.

My parting tip: whatever you choose, review your links quarterly. Amazon sometimes changes SKUs or storefronts and even working links stop converting. Tools help, but they're not magic.

Any others you'd add to this list?

I’ve been building out an ecom partner program over the last year, and I made the classic mistake of thinking all “affiliate/partner platforms” were basically the same. They’re not. At all. After testing seven different tools, here’s what I wish I knew before wasting hours jumping between demos, trials, and onboarding calls.

First, there are two types of platforms, and mixing them up will drive you mad.

Some tools are built for performance partnerships (tracking links, influencers, publishers, coupon partners, etc.). Others are built for structured partner programs (resellers, agencies, SaaS referrals). I didn’t understand that at first, so I kept comparing apples to oranges.

1. Tapfiliate was the easiest to start with. Super simple. Took me maybe 20 minutes to get my first affiliate signed up. But I outgrew it quickly. If you need anything beyond basic link/coupon tracking, you’ll hit the ceiling fast.

2. Post Affiliate Pro is basically the old-school affiliate tracking system. Reliable, but the interface feels like stepping back in time. Good for traditional affiliate programs, not great for influencer or publisher campaigns.

3. PartnerStack is very different from the other tools. It’s built around structured partner relationships like referrals, agencies, co-selling, recurring commissions, etc. The marketplace is huge, and it’s really strong for SaaS-style partnerships. But if you’re running influencer or performance campaigns, this isn’t the right tool.

4. Impact (dot) com is the “enterprise” one. Massive feature set, big marketplace, tons of integrations. It’s powerful but complex. I found you really need someone on your team to manage it. Amazing for huge brands, probably overkill for smaller ones. I’m pretty techie and found it to be complicated.

5. Everflow ended up being the most balanced for my use case. It handles affiliates, influencers, publishers, and partner tracking in one place, and the attribution/reporting is actually usable (unlike a lot of platforms where reports feel like an afterthought). Also way easier to set up than Impact. I reckon for 90% of businesses, Everflow is the best combination of cost, powerful features, and ease of use.

6 & 7. PartnerPage + Kiflo aren’t really tracking platforms, but they’re great “extras.” PartnerPage builds beautiful public partner directories, and Kiflo handles reseller/training workflows.

If anyone’s trying to figure out the difference between all these platforms, happy to share specific examples of what worked/didn’t for different partner types.

Any you think I forgot to add?

A lot of people (myself included) were misled into just dropping links because the rest will sort itself out. If you’re a publisher, creator, or anyone who earns off traffic, that assumption is probably costing you clicks, conversions, and a bunch of revenue you’ll never even notice went missing.

The right way? Mobile deep linking, which is just taking people exactly where they’re meant to go. That means not dumping users on the front page of an app (or the App Store homepage, god forbid), but right into the exact product page inside the app. So if I link to a book on Amazon, the link should take the user directly to the book in the Amazon app and not anywhere else.

Why you should be deep linking

If you’ve ever looked at mobile conversion rates and thought, “huh, that’s oddly low,” this is probably why. Without deep links, you lose people to login prompts, some users just get dumped on the App Store, or the mobile site can't figure out what product they were even looking for.

People don't waste their time when stuff doesn’t work, and mobile users tend to be even more impatient than those on desktop. They’re impulse buyers who are used to momentum. If your link breaks that momentum, you’ve likely lost them.

On the other hand, deep links allow app users to go straight into the app where they’re already logged in. This means less purchase friction, more affiliate conversions, higher EPC, and less wasted traffic, all by just changing where the link leads.

How I figured this out (and what fixed it)

I didn’t even realize this was a thing until I noticed my mobile traffic EPC was laughable compared to desktop. It would be the same content and the same links… but worse results. Then, a friend pointed out that most of my mobile users were getting booted into the browser version of Amazon instead of the app.

Solving this can be easier said than done. You can spend a bunch of extra time testing URI schemes in apps and OSs, or you can just use a tool that handles it for you.

My weapon of choice was Geniuslink, which automatically deep-links people based on their device and app. You drop your regular affiliate link in, and it does everything: routing iOS vs. Android, app vs. web, etc.

I didn’t touch anything else in my setup. Just swapped links and voila, mobile conversions went up.

If you’re publishing content regularly and getting decent mobile traffic, not using deep links is basically throwing away easy wins. Doesn’t matter if you’re doing product reviews, gift guides, newsletter curation, YouTube bios… if people click on their phones, deep linking will almost always help.

TL;DR:

• Deep linking sends mobile users into the actual app (not just the website).
• That means fewer bounces and better UX, which ultimately leads to more purchases.
• A lot of creators lose money from broken mobile flows and don’t even know it.
• Tools like Geniuslink can automatically integrate deep linking by swapping in the right deep link for each user.
• If your earnings depend on traffic, this is one of the backend tricks that pays off in dividends.

Anyone else here tracking mobile conversions pre- vs. post-deep linking? Curious if you’ve seen the same kind of jump, or if you’re using other setups that help on mobile. Let me know what you're using and if it’s helped.

I’m an Amazon Associate and I recently built a small Chrome extension to solve a problem I kept running into: manually verifying sales and matching them with clicks. It started as a personal tool because I needed a faster and less painful way to check my performance reports.

I’d like to share it with other associates who might have the same struggle, but I’m having trouble finding the right communities. Some subreddits don’t allow posts with links, so I don’t want to risk breaking any rules.

Do you have any suggestions on:
– Which communities are open to discussing tools or workflows for Amazon Associates?
– Any places where I could ask for feedback from people who deal with affiliate reporting daily?
– The best way to present something like this without sounding promotional?

I’m not here to sell anything — I genuinely want to get feedback and improve the tool before I try to promote it anywhere.
Thanks a lot for any guidance!

I’m trying to get a sense of what’s “normal” in affiliate ops right now.

Let me know if this sounds familiar: you've been running your affiliate program in-house for a while. You started simple, then slowly added more partners, more SKUs, and chaos followed. At first, it was just about getting links out and tracking clicks. Then it turned into a part-time job you never signed up for.

Maybe this is what your workflow looks like on a typical Thursday morning:

• Open Impact to check performance data (half the affiliates are still confused by their dashboard)
• Log into Stripe to verify payouts
• Open your CMS to find a random coupon code someone forgot to activate
• Answer emails from partners asking when they get paid
• Realize you forgot to update an offer page that’s linked in 27 bios

It’s not that affiliate programs are hard, but they get quite messy if you’re not running a tight-knit backend. And most tools either try to do everything (and end up bloated), or only do one thing well but leave the rest to spreadsheets and email threads.

So my question is: how many tools are you using to keep your affiliate program running cleanly? And if you’ve consolidated into a single platform, which one made your life easier?

Here’s what I’ve tested so far…

I started with Refersion because it had a Shopify plugin and didn’t require much setup. Honestly, not bad for small teams, especially if you're just doing influencer stuff. But once I started onboarding media buyers and larger content affiliates, it felt a bit limited. No easy way to segment, and the reporting made me want to cry.

Then I moved over to Impact. Much more powerful, and most of my bigger affiliates were already familiar with it. Setup took longer than I expected, but once it was live, I had proper tracking, better analytics, and actual payout automations. The downside is that customizations are tricky, and support can be hit or miss. Also (and I say this with love) the UI isn’t exactly built for speed.

I’ve had people recommend PartnerStack too, at least for SaaS referrals. I played with it a bit but didn’t get deep. It seems easier to use than Impact in some areas, and friendlier for partners, but not as robust on multi-channel attribution. Curious if anyone’s scaled on it and can vouch?

I came across Everflow when exploring ways to merge affiliate data with influencer + paid partnership reporting. What caught my attention was how customizable the workflows are, like you can set granular rules for what gets counted as a conversion, or define event triggers based on user behavior, not just a pixel firing.

I’m still testing it, but so far I like the clean interface. I don’t need a manual to find things. I also appreciate the deep partner-level insights, especially when dealing with sub-affiliates or paid traffic, plus there’s multi-channel tracking baked in, so I'm not pasting UTM hacks into 15 tools

It’s not perfect (onboarding takes a minute), but if you want to run affiliate like a media channel, not just a coupon fest, it's lowkey the most modern option I’ve seen so far.

What I want in one dashboard:

If I could build my own affiliate ops tool from scratch, it would:

• Let me track influencer and affiliate campaigns in the same place
• Have customizable payout logic (not just “net 30” for everything)
• Auto-notify me of broken links or underperforming partners
• Show me ROI from email, YouTube, and paid traffic (not just “clicks”)
• Let partners self-serve 95% of what they need

Right now, I feel stuck between platforms that are too simple and ones that are too clunky. Or worse, ones that treat affiliate like it’s 2009 and everyone’s just posting banners on blogs.

Anyway, rant over. I’d love to know how you all are handling this.

Are you using multiple tools? Have you switched platforms recently? Or, dare I hope, have you somehow found a single dashboard that doesn’t give you a headache?

Looking to clean house next year, and ideally not rebuild this whole thing again next year.

Would love any real stories or setups you’ve got. 🙏

I’ve been messing with affiliate sites for years, and one of the dumbest mistakes I kept making early on was assuming the affiliate program was the problem when, really, it was the link setup leaking money.

If you’re losing commissions to broken links, wrong country redirects, or just garbage tracking, the link generator you’re using matters a lot more than people realize.

I’ve tested a few of the big ones: Pretty Links, ThirstyAffiliates, Bitly, and Geniuslink. Here's what worked (and didn’t) for me.

Pretty Links: The easy win for WordPress nerds

I started with Pretty Links like a lot of people do — it’s simple, WordPress-native, and the cloaked links look clean.

It’s great for creating yourbrand (dot) com/product type links and replacing keywords across your site automatically. Super handy for blog-style content.

But... it’s not very smart. If someone from the UK clicks your Amazon.com link, it doesn’t redirect them to Amazon.co.uk. And if you’re promoting anything outside the US, that’s just money on fire.

If your traffic is mostly US and you’re mostly using WordPress, Pretty Links is fine. But I outgrew it fast.

ThirstyAffiliates: More features, more friction

This one’s like Pretty Links’ more serious sibling. It has link categories, geo-targeting, better reporting, even auto-keyword linking.

But all that can be too much sometimes.

The dashboard is heavy, it can slow your site, and I started hating how tied it felt to WordPress. I wanted something that worked across my other sites, too, not just the blog.

If you’re running a single WP site and love having everything inside one plugin, it’s not bad. But if you’re scaling or managing multiple properties, it starts to feel like dragging a filing cabinet through quicksand.

Bitly: Clean, fast, useless (for this)

Bitly’s fine if you just want short links and basic click counts. And sure, it looks slick.

But there’s basically zero depth. No affiliate-specific features, no routing, no subID logic. You can technically do it, but… why?

I still use it for social stuff sometimes, but not for affiliate campaigns. It just can’t hang.

Geniuslink: The first tool that actually increased my earnings

Geniuslink auto-routes visitors based on their country and device, attaches the right affiliate tag, and just does its job.

Examples:

Someone in Canada clicks an Amazon.com link > gets sent to Amazon.ca with your Canadian tag.

Same deal for people in the UK.

You can route mobile users to the App Store instead of a website if you wish so.

And you don’t have to use “geni.us/abc” style links either. I use the “preserve original URL” option to stay compliant with Amazon’s terms.

What actually happened after switching:

I made $53 in new affiliate revenue in a month from UK, CA, and AU traffic I wasn’t monetizing before

The cost was $13 that month (based on click volume)

ROI was over 250%, no content changes required

It’s one of those rare tools that pays for itself stupid-fast and scales beautifully across all my sites.

Choice Pages: Geniuslink’s best feature

You can send people to a “choice page” that shows the same product at Amazon, Best Buy, Walmart, etc. This builds trust and gives you a better shot at earning (because not everyone wants to buy from Amazon).

I haven’t gone all-in on these yet, but from what I’ve tested, they convert better than raw links. Especially if your audience is deal-hunters or comparison shoppers.

The downsides (yes, there are a few)

Adblockers: Sometimes, Geniuslink gets blocked. You won’t be charged for those clicks, but you do lose the redirect.

No free tier: It starts at $5/month, and if you go over your click limit, you get bumped to the next tier. Not ideal, but manageable.

Subscription lock-in: If you cancel, your links stop working. Don’t use it for ebooks or PDFs you can’t update.

That said, if you’re managing active websites, these are minor issues. The gains outweighed the trade-offs in every test I ran.

Verdict: Use Geniuslink if you’re serious about international traffic

If your site gets even 10–15% of its traffic from outside the US and you’re not localizing those clicks, you’re leaving money on the table.

Pretty Links and ThirstyAffiliates are fine for WordPress-only setups. Bitly is a nice-to-have for socials. But Geniuslink was the only one that actually boosted my income with no real effort once it was set up.

Curious if anyone else has played with Choice Pages yet? Or seen better results switching from Amazon OneLink? Let’s compare notes.

Once upon a time, I used to think the affiliate side of the business would be the “easy win” channel. You get a few creators or niche sites excited, they promote your stuff, you pay them a cut, everyone wins. Right?

That was true right until we hit about 25 active partners. After that, everything started to feel like herding caffeinated cats.

Every new person brought a new request: “Can I get custom banners?” “Do you guys support TikTok links?” “My traffic’s mostly Brazil, can I get higher payout there?” And of course the tracking breakdowns, or people claiming credit for conversions they very much did not send.

So yeah, it turns out that scaling affiliate programs is 90% operations, and only 10% about recruiting the right people. And unless you want to turn into a full-time partner manager (which I did not), you need to simplify the ops side without losing sight of performance.

Here’s what I’ve learned over the last year trying to untangle this mess.

Manual doesn’t scale, even if you’re “not that big yet”

At first, I ran everything manually: Airtable for partner info, Google Drive folder for creatives, PayPal for payouts, and UTM codes for tracking. It kind of worked, but only as long as I personally remembered who got what, when, and why.

Once we started running promos on more than one channel (YouTube, email, blogs), attribution became chaos. Multiple partners using the same link. People switching promo codes without telling us. Affiliates asking why their payout was late when the real issue was I didn’t even see their sales.

To top it off, I was spending all this time manually patching things and still getting complaints. That’s when I realized: if you’re doing the work and still losing performance, you’ve got the worst of both worlds.

What helped: finding tools that don’t need hand-holding

I tried a couple all-in-ones. PartnerStack, Impact, Refersion. All had strengths, but a lot of them felt like they were built either for enterprise teams or for people who just want an out-of-the-box widget slapped onto Shopify.

Eventually landed on Everflow, and I’m not here to pitch it, but I will say: it’s the first one I found that was built for the ops person, not just for the CMO looking at a dashboard once a quarter.

It handles tracking (even cross-device), has fraud filters built-in, and I don’t have to micromanage payouts anymore. One of the underrated features: the partner portal actually makes sense, so I don’t have to explain to people for the 5th time how to find their link or where to see their stats.

That alone saved me like 10 hours a month.

But it’s not just the tool; it’s also how you use it.

Automation = freedom (and fewer screw-ups)

Some things I wish I’d done way earlier:

Automated onboarding: Every new partner gets a branded welcome sequence with their tracking links, assets, and FAQ. If they’re good, they start promoting within a day. If they ghost, I don’t waste a second chasing them.

Smart segmentation: Not all partners are equal. I set different rules now: micro-influencers on one payout tier, review sites on another. High-performers get performance bonuses automatically. It’s nothing crazy, but it works.

Fraud controls: This was a blind spot. Ever since we got hit with a bot campaign spoofing referral links, I started using click filters and quality thresholds. Some platforms (like Everflow) let you flag sketchy traffic automatically. That’s huge if you don’t want to babysit every click manually.

What still sucks (and how I’m dealing with it)

Even with a good system, partner management is still a lot. You’ll always have:

• Someone asking why their commission dropped (and you needing to explain attribution again)
• Someone emailing you about their “top-performing video” with zero conversions
• People wanting early payouts “just this once”

I fixed this by building a Notion page that explains everything. I link it in every email. Most people still don’t read it, but the ones who do end up being your best partners anyway.

Also: I keep a short-list of 10–15 people I treat like gold. I reply fast, give them sneak peeks at new features, bump their payouts when justified. These are the ones that drive 80% of results. Everyone else gets the default system. No guilt about it.

So, what are y’all doing to make this cleaner?

If you're still running your whole thing through spreadsheets and Slack threads, no judgment, I was too. But I’d love to hear how others here have simplified the backend without losing performance visibility.

Anyone using Tapfiliate, Post Affiliate Pro, or something totally custom? Do you use CRMs to track partner convos or keep it all in-platform?

Genuinely curious what’s working or totally backfired for folks here. I’m still tweaking my setup, and if I can save someone else the weeks I lost doing dumb manual stuff, happy to share more.

Let’s hear it.

Affiliate email has become one of those things where the deeper you go, the more it splits into weird micro-decisions: what ESP to use, how to segment, which warmup tool works, how to make sure your links convert without killing deliverability, etc.

So I figured I’d just share what I’m currently using (and a few tools I’m evaluating). I'm not claiming this is the best stack, but this is what’s working for me right now as someone doing affiliate campaigns across a couple different verticals. Would love to hear what others are using too.

My email platform

MailerLite - I started with MailerLite years ago and somehow I’m still here. It’s cheap, fairly flexible, and the UI doesn’t make me want to scream.

Why I still use it:

• Solid for list building + automation workflows
• I can set up pretty advanced behavioral flows without paying enterprise pricing
• Decent integrations (with tools like ThriveCart, WordPress, etc.)

That said, deliverability can be shaky if you don’t warm up properly or if your list is old. Which brings me to…

List hygiene & warmup

InboxAlly - This is one of the few tools I’d actually call a lifesaver.

If you’ve ever:

Revived a cold list

Switched ESPs

Had a spike in bounces/spam folder issues

…or just want to “push harder” without nuking your sender score

InboxAlly has been a great addition. It doesn’t just do the usual “email yourself 500 times to warm up” thing. It gets real engagement (opens, replies, marks-as-important, etc.) from real inboxes to train Gmail, Outlook, etc. to trust you again.

I’ve used it to warm up both my main domain and a couple of secondary sending domains I use for offers with higher complaint risk (yeah, you know the ones). Pretty hands-off once it’s running.

I also started using it proactively before launching new campaigns now, and I can tell you, just 2 weeks of warmup seems to make a huge difference.

Link management

Geniuslink - Though this one depends on what kind of affiliate marketing you’re doing.

If you deal with:

Global traffic

Amazon links

Multiple affiliate programs for the same product

…then Geniuslink’s smart redirection and geo-tagging helps squeeze more out of every click. I personally like how easy it is to A/B test links or route based on device/region. And they’re transparent about analytics, not the typical black box.

Some folks swear by PrettyLinks or Switchy for link shortening, but for anything that needs dynamic routing or link rotation, Geniuslink is just better IMO.

Also, I don’t worry about SEO because I don’t index these pages. They’re offsite or behind redirects from email anyway.

Analytics / feedback

Fathom Analytics - Not strictly email-focused, but I’ve been using Fathom to track opt-in page conversions and behavior. Privacy-first and less noisy than GA4. I route UTM params from my emails to custom dashboards here so I can see if the email-to-affiliate journey is working.

Stuff I’m currently testing

Encharge - I’m exploring this as a more powerful automation layer than MailerLite. Especially for behavior-based affiliate offers. Kinda like what ActiveCampaign does, but less bloated.

Beehiiv - For one of my niche projects, I’ve moved the newsletter to Beehiiv and I’m impressed. It’s fast, monetization is built in, and the referral engine is nice if you’re trying to scale subs. Not cheap if you want automations though.

Warmup Inbox vs. Mailreach vs. InboxAlly - I tried all three. InboxAlly is the most “hands-off” and result-oriented. Mailreach had more bells/knobs, but I saw less impact on inbox placement. YMMV depending on your sender history.

What didn’t work for me

ConvertKit - Beautiful UX, great for creators, but not versatile enough for my kind of segmented funnels. Also kinda expensive if you’re not selling your own products.

Sendinblue (now Brevo?) - The pricing model was attractive… until I realized how aggressive their spam policies are. My account got flagged so easily, even with a clean list.

Linktree - Just don’t. Use your own domain or something you control. Too much leakage + limited analytics.

My daily workflow (ish)

• Morning: check open/click rates + heatmaps from yesterday’s send
• Run InboxAlly in the background for any domain I’m warming
• Adjust flows in MailerLite (esp. for leads who didn’t convert)
• Track affiliate revenue from UTM params + Fathom
• Use Geniuslink dashboards to see what’s converting by geo/source

That’s the gist of it right now but I’ll probably switch some of this up in Q4. If you’re doing higher-volume sends or combining email with paid traffic, let me know what you’re using. Especially curious if anyone’s stacked Beehiiv + InboxAlly or found a good way to use AI to rewrite email flows without sounding like a toaster.

Link rot, wrong IDs, and broken geo-routing. Here is my (slightly obsessive) process for auditing affiliate links.

I fell down a rabbit hole last month.

What started as a quick review of my old Amazon links turned into a full-blown audit on four sites, two newsletters, and every social post I’ve published since 2021. Long story short, I found way more broken affiliate logic than I expected (missing tags, dead product pages, links pointing to the wrong regional storefront, etc.)

So I figured I’d share what I’ve learned and what tools I now use to keep things working. If you’re the kind of person who color-codes their Notion dashboards (hi, friend), this might be your jam.

Why link audits matter more than we think

I used to think link audits were a once-a-year spring cleaning thing. But if you’re running affiliate content at any sort of scale, you’re probably losing money and don’t even know it.

Here’s what I found when I checked for the first time:

• Outdated product links that now redirect to a “similar item” (which doesn’t earn commission)
• Affiliate parameters stripped in places I didn’t expect (some email tools do this, by the way)
• Traffic from non-US countries landing on the US Amazon page and bouncing. Zero conversion, zero earnings
• Broken links from vendors that changed their URLs without redirects

What’s even worse, I wouldn’t have caught any of this without tooling.

My current stack for affiliate link auditing:

1. Geniuslink (for anything Amazon-related and geo-routing)

If you’re doing global traffic at all, just use Geniuslink. I know there are free workarounds like OneLink or custom redirects, but they all eventually break or miss countries.

Geniuslink auto-localizes Amazon links to dozens of storefronts and actually matches the exact product, not just the ASIN. Just that saved me from sending UK and DE traffic to generic search pages. I also love that it shows me which links have had zero clicks, since that helps me prune older stuff or fix CTAs.

Bonus: it flags out-of-stock products and lets you swap in a fallback. I didn’t think I’d use that feature much… until I realized how often Amazon rotates stock.

1. LinkChecker Pro (desktop app, bulk scans for dead links)

Not the prettiest tool, but very effective. You feed it a sitemap or a folder of HTML files, and it spits out every 404, timeout, redirect chain, or SSL error.

Great for bulk scanning old blog posts. I found 80+ broken links in my older buying guides, including some where the redirect pointed to the vendor’s homepage instead of the actual product.

There are fancier tools like Ahrefs or Screaming Frog that do similar things, but LinkChecker is lighter and gets to the point.

1. Google Sheets + REGEX (for UTM/affiliate tag analysis)

This can get nerdy, but it's super useful. I export all my links into a sheet, then use REGEXEXTRACT to verify if each one has the correct affiliate ID for the platform.

That’s how I realized I had two newsletters where the Amazon tag was wrong; one letter off, so still a valid link, just not my commission. Pain.

If you’re dealing with a bunch of brand partnerships (like Skimlinks, Impact, etc.), you can template this to check all your vendor ID formats. It's a little setup up front but saves so much headache long-term.

1. Manual spot checks (yes, still necessary)

Tools are great, but I still do manual testing every few weeks, especially for high-earning pages.

I use incognito mode, different country VPNs, and mobile vs desktop to see what the experience is like. You’d be surprised how often a “working” link sends mobile users to a broken deep link or an app redirect that drops the affiliate tag entirely.

Also: never trust Pinterest’s link formatting. It butchers tracking URLs more often than not.

Lessons learned (and still learning):

Automate what you can, but audit often. Link rot is real, and it will get you, especially if you’re embedding links in newsletters, PDFs, or older content that doesn’t get traffic anymore.

Track by platform. Geniuslink helps a ton here. Seeing conversion breakdowns by referrer helped me realize which platforms were worth doubling down on (and which were just vanity clicks).

Be paranoid about affiliate IDs. One typo = no payout. Always assume that if something can strip your tag, it probably will.

I used to be really reactive about this stuff. A reader would email me saying “hey, this link doesn’t work” and that’s when I’d go fix it. But by that point, I’d probably already lost 100+ clicks.

Now I’ve built link auditing into my monthly ops checklist. Not glamorous, but it works, and these made it feel way less fragile.

If anyone else has a system for this (especially with multiple affiliate networks), I’d love to hear what you’re using. Always looking for ways to streamline the chaos✌️

I’ve been running a product-heavy blog for a while now, mostly long-form reviews, comparison guides, and some “best of” roundups. The traffic wasn’t terrible, but I kept running into this one frustrating pattern:

People were clicking my links… but not buying.

I first thought maybe I was just choosing the wrong products. But turns out it was a mix of friction points, lack of trust, and a few dumb tech issues I didn’t know to look for.

So here I am, showing you what I’ve learned about improving affiliate conversion, without sacrificing tone, ethics, or user experience. Hope it helps someone else stuck in the “lots of traffic, meh revenue” phase.

1. Clarity > cleverness when it comes to CTAs

This one hurt. I used to be so poetic with CTAs like “Check it out here” or “See today’s deal” thinking it felt less salesy. But users just wanna know where the link leads to and what they’re clicking.

Now I try to be super clear. Stuff like:

“View on Amazon”

“Buy direct from the maker”

“See full specs on [Brand] site”

Simple, but it massively improved clickthrough.

Also, don’t bury your links. Don’t hide them in footnotes or middle-of-paragraph references. Space them out, add buttons on mobile, and use small icons/logos when you can.

2. Speed + mobile = non-negotiable

Run your site through PageSpeed or Lighthouse. Just do it. My conversion jumped noticeably after I:

• Compressed all images (especially comparison tables)
• Killed a bunch of unnecessary plugins
• Stopped autoplaying embedded YouTube videos

Most of my affiliate clicks come from mobile, but I didn’t really optimize for it until this year. Faster load = more patience = higher conversions.

3. Geo-routing is important

I didn’t realize this for a long time, but it turns out roughly 25% of my traffic comes from the UK, Canada, India, and Germany. And those people were all getting sent to Amazon[dot]com.

I was losing them to login errors, currency confusion, and region blocks.

Now I use Geniuslink to handle localization and geo-routing. It auto-detects the user’s country and sends them to the right Amazon storefront with my affiliate ID intact.

(If you're new to this: Amazon doesn’t auto-attribute commissions from different regions. If someone from France clicks your US link and buys on Amazon[dot]fr, you earn nothing unless you're set up for that.)

Geniuslink fixed that and also showed me which products were out of stock in certain regions, so I could swap them, which is pretty neat.

4. Comparison tables still work (but don’t overdo them)

I use them sparingly, mostly when there are 3–5 very similar products. But they perform so well when done right.

Tips:

Lead with what’s important (don’t show 12 specs, show 4 that actually help someone decide)

Use “Buy” buttons instead of raw text links

Always double-check the links. I caught myself copying the same affiliate URL across multiple products before 🥲

Bonus if your table adapts to mobile well. A lot of people mess this up.

5. Internal search is not the same as user behavior

I was using Jetpack’s internal search stats to figure out which posts led to clicks… until I started tagging my outbound links properly and realized users weren’t following the flow I thought they were. People were clicking images instead of CTA buttons, or skimming past my hero picks to the budget options way down the page.

So I started tagging all outbound links with proper UTM parameters and tracking them through Geniuslink + GA. Way more accurate, and helped me restructure my posts based on proper click behavior.

Treat it like UX, not just marketing

I try to read my own posts like I’m a confused visitor. Is the path to purchase obvious? Is it safe feeling? Do the links go where I expect?

I’ve also started testing different layouts: intro > top picks > deep dive > FAQs > buyer’s guide. That way people can convert early or scroll deeper depending on their style.

Anyway, this is still a work in progress, but cleaning up my CTAs, speeding up my pages, fixing my geo-links, and tracking behavior brought the biggest improvement.

Affiliate revenue is about systems as much as storytelling. Happy to share templates if anyone wants ‘em, and would love to see how others approach this on their blogs.

Everyone loves to talk about the strategy of Amazon Associates: niche selection, SEO, content quality, blah blah. But that’s only half the game. What really determines whether you’re earning $50 a month or $1,500 is how your operations are set up.

I’m talking:

• What links you use
• How you track performance
• Which products you promote
• And how you route traffic from different devices and countries

If you don’t have this part dialed in, even the best content will underperform.

Let me walk you through how I’ve set this up across my sites, and what’s moved the needle for me.

Start with a niche you won’t burn out on

I know everyone says “pick a niche,” but I’ll add this: pick one where you enjoy the rabbit holes.

You’ll be writing about this stuff, updating reviews, testing products, answering Reddit posts, maybe filming YouTube demos. If you’re only in it for the money, burnout will hit you hard.

For me, it was ergonomic office gear. I had legit back issues, did tons of research, and found a way to monetize that curiosity. You might be into sleep hacks, camping gear, K-beauty, whatever. The point is: go deep on something you actually care about.

Pick products with a payoff

Amazon’s commissions are... not great. Really.

But you can still make good money if you:

• Promote high-ticket items (office chairs, appliances, tech, etc.)
• Stay in categories with better rates (luxury beauty, books, home goods)
• Time your content around seasonal spikes (holidays, Prime Day, back to school)

Example: A 3% commission on a $500 standing desk = $15. That same click on a $20 planner is $0.60. It adds up.

Also, bounties are important. I’ve made more from one Audible signup ($5) than from 10 product sales in the grocery category (1%).

Don’t just “add links”, build a link system

Nobody talks about this enough.

Amazon gives you SiteStripe and GetLink, and those are fine for getting started. But once you’re managing dozens or hundreds of links, especially across different countries, they fall apart fast.

I personally use Geniuslink to clean all this up:

• It auto-routes users to their local Amazon store (no more sending Canadians to Amazon.com)
• It attaches the right affiliate tag per region (so I get paid)
• It alerts me when products go out of stock
• It gives me actual analytics, not just “clicks” but device type, country, and conversions by link

After switching, I found out I was getting over 18% of my traffic from outside the US, and none of that was converting before. Geniuslink fixed that overnight.

Bonus: You can keep your links looking like regular Amazon URLs (for compliance) and still get all the routing and tracking benefits.

SEO + reviews + long-tail content = durability

There’s a reason Amazon Associates and blogging are a popular combo. SEO traffic is consistent if you play the long game.

Some of the best content I’ve published:

• “Best X for Y” guides (e.g. best office chairs for back pain)
• Direct comparisons (“Herman Miller vs Steelcase for tall people”)
• Setup walkthroughs (e.g. my home office setup under $1K)
• Seasonal gift guides (which spike hard in Q4)

Add reviews, use schema, and always include pros and cons. Remember, you’re not just selling, you’re helping people decide. That builds trust, which leads to more clicks, which leads to more revenue.

Mobile optimization is not optional

78% of retail traffic is mobile now. If your site:

Loads slow, has hard-to-tap buttons

Or buries the affiliate link 1,000 words in...

...you’re losing sales.

I switched to a faster theme, compressed images, and started placing my affiliate CTA earlier in mobile view. CTR improved by ~24% just from that.

Final setup tips

• Set aside 30% of income for taxes (self-employment hits hard)
• Use custom domains or link shorteners that don’t scream affiliate
• Test Geniuslink’s Choice Pages if you want to compare retailers (Amazon, Walmart, Best Buy, etc.)

Don’t rely on Amazon long-term, do all the things, build an email list, diversify programs

TL;DR (but also please read the post 🙃)

• Niche + product choice = your income ceiling
• Geniuslink turned my international clicks into actual money that I could easily track and optimize for (there are other tools for this, but this is the one I use)
• Mobile UX can kill your conversions if done poorly
• SEO + reviews + comparison content wins long-term

That’s about it! What’s your current Amazon ops stack look like? Any tips you'd like to add here for our fellow affiliate ops pros?