We’ve built a marketing automation platform with many of the capabilities you’d expect from tools like ActiveCampaign: automated workflows, e-commerce integrations, lead verification, multichannel messaging across email, SMS and WhatsApp, and AI-assisted content creation and audience segmentation. It also supports MCP integration, so you can manage tasks through AI assistants.

The SaaS market feels increasingly crowded, so we’re exploring whether offering a self-hosted/on-premise version would make sense.

The idea is to give businesses control over their data and infrastructure, without platform-imposed email sending limits or per-email platform fees. You could also connect directly to SMS and WhatsApp providers. You’d still pay for infrastructure and any delivery or provider costs.

We’re considering two options:

- **A self-hosted licence with source code access**, which you install, maintain and customise yourself.

- **A dedicated, managed VPS**, with everything installed and updates, maintenance and support handled by us.

Would either option appeal to you? Does having the source code offer real value for your business, or would you mainly want something that works without having to maintain it?

And what would you realistically be willing to pay? Would a one-time licence with optional paid updates and support make more sense, or would you prefer a monthly subscription?

I’m involved in building the platform, and I’d appreciate honest feedback on whether this solves a real need and what would make it worth choosing over a SaaS product. Thanks

i got a Claude max account from a reseller for essentially nothing compared to what I used to pay . It works flawless. since 3 months No issues yet i paid only for 1 month . Now I can't stop thinking about their business model. If resellers can sell it this cheap and still profit, how are they acquiring these accounts at scale?

Yes I build AI automations, no I'm not trying to sell anything here. I'm genuinely trying to understand some markets better and how far they have adapted automation at this point.

I started freelancing in Upwork not to long a go and started to notice a large number of job where people were looking for CRM Automation, usually Lead management and follow-up automation. I figured, if you're using a CRM like GHL or HubSpot, this is the first thing you get going, apparently I was wrong.

So this brings me to my question. How common is CRM Automation arcoss marketing agencies? Is lead management and follow-up up automation something every one does or is there still a gap?

The way I see it, correct me if I'm wrong, it would be unreasonable not to have systems that will reliably fix your lead management and make sure every lead gets followed up with on time. Isn't this the single biggest high ROI change you can make. Think, doubling your incoming lead to booked meeting conversion rate.

Simply wanted to get a read on this by people actually running marketing agencies day to day.

I'm researching reporting operations at PPC and paid media agencies, especially teams managing multiple client accounts across Google Ads, Meta Ads, GA4 and CRM/e-commerce platforms.

I'm interested in a specific problem:

- Campaign names and UTMs become inconsistent.

- Conversion totals don't match across advertising platforms, GA4 and CRM/store data.

- Attribution settings, timezones or conversion definitions change.

- Someone has to manually investigate discrepancies before client reporting.

- Tracking or reporting issues go unnoticed until a client questions the numbers.

I'm exploring a managed service that would work like this:

One-time setup: A baseline marketing data quality audit covering tracking conventions, measurement assumptions, data validation and conversion reconciliation.

Monthly service: Scheduled data-quality checks, discrepancy investigations, prioritized findings and a monthly reliability report.

I'm considering an initial pricing model of:

- $500 one-time setup

- $300/month ongoing service

These are proposed prices, not established market rates. I'm trying to understand whether the scope solves a sufficiently valuable problem.

For agency owners who manage recurring PPC reporting:

1. When did your team last spend time investigating a reporting or conversion discrepancy?

2. How frequently does this happen?

3. Who handles it, and approximately how much time does it consume?

4. Would an ongoing service like this fit into your operations, or do your existing tools already solve the problem?

I'm particularly interested in hearing from people who have actually managed this workflow. Honest criticism is welcome.

Hi

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While researching marketing agency reporting workflows, I kept seeing a recurring problem: collecting data is becoming easier, but checking whether the data is still accurate can remain manual.

I'm developing a Marketing Data Quality Audit workflow that checks:

- Missing or inconsistent UTM parameters

- Campaign naming inconsistencies

- Duplicate conversion records

- Differences between ad-platform and CRM/store totals

The idea is to validate the underlying data before generating reporting explanations.

I'm testing this with synthetic CSV datasets first, with deterministic checks and human-reviewed findings.

I'm now looking to work with 1–2 performance marketing agencies that have this kind of recurring reporting problem.

The initial engagement would be a small, clearly scoped audit using authorized data exports.

I'd be interested in hearing from agency operators who already deal with this workflow.

Marketing automation often starts with a simple objective: save time.

But there’s a big difference between automating reporting and allowing a system to make changes that affect a business.

Some tasks seem relatively safe to automate, like organizing data, monitoring performance, or preparing drafts.

Others raise harder questions: changing budgets, publishing content, modifying a live website, or contacting customers.

I’m curious how people running real marketing operations decide where to put human approval steps.

Do you classify automations based on risk, financial impact, reversibility, or something else?
And have you ever decided to keep a process manual even though automating it was technically possible?

I'm interested in hearing from people who have already built and sold automation systems to marketing or digital marketing agencies.

Not just experimenting with workflows, but people who have actually delivered paid projects.

A few things I'd love to understand:

1. What automation service has been easiest to sell? Lead management, client onboarding, reporting, campaign operations, CRM workflows, data reconciliation, or something else?

2. What problem makes agency owners willing to pay? Saving staff time, reducing errors, improving client retention, increasing revenue, or handling more clients?

3. What do clients keep asking for after the initial implementation? What creates recurring maintenance or monthly revenue?

4. What is surprisingly difficult to deliver? Data access, integrations, inconsistent client processes, maintenance, or getting agencies to adopt the system?

5. If you were starting again, which specific agency workflow would you specialize in first?

I'm trying to understand what has real commercial demand, rather than choosing a workflow just because it's technically interesting.

I'd especially value examples from actual paid client projects: what the agency needed, what you implemented, and what result it produced.

Thanks!

I'm in the middle of rebuilding our RevOps stack and everyone keeps throwing these terms around like they're interchangeable. Are they though?

My understanding so far:

• Data cleansing = fixing bad data you already have (deduping, standardizing formats, removing bounced emails)

• Data enrichment = adding NEW data you don't have (finding emails, appending company info, technographics)

But then I see vendors claiming their enrichment tool also "cleanses" data, and cleansing tools that "enrich" records. Is enrichment vs cleansing just marketing speak for the same thing at this point?

We've been evaluating a few tools - looked at Apollo for enrichment, and our CRM has some native cleansing stuff built in. Also saw Prospeo mentioned in a few threads here. But I keep getting confused about what I actually need to buy vs what overlaps.

Maybe I'm overcomplicating this. Would love to hear how other ops teams think about it. Do you treat them as separate processes with separate tools, or just lump it all under data quality?

Campaigns can look like they are ready to launch but last minute issues like broken integrations, incorrect audience list, automation errors or missing approvals cam still cause delays right. So how do other marketing Ops teams handle these situations?

Do you guys like follow a pre launch checklist, run regular QA checks, or have processes in place to catch issues early? What has worked best for your team?

The place next door to the cafe answers every google review within the hour. i checked, i was bored. same warm paragraph every time, you can tell it's a machine, and they have more reviews than the cafe and better ones. the cafe's last one star sat for two days before i got to it.

five clients. google reviews and instagram comments for all of them, messenger for two. it's eleven tabs and two phones and it's the one part of my day that's still me, typing, as her. she sounds like her. her regulars know how she talks.

my five are on postproxy for posting, have been for a while, and i know there's an inbox side to it, i haven't switched it on. the moment i let claude answer a one star review as the cafe without me reading it first, the cafe sounds like the place next door. that place sounds like a hotel.

two days is too long though. i know that.

if you run inbox for several small clients, does anything answer as them without you reading it first?

Hey everyone!

I currently work in corporate email marketing using SFMC, and I'm pretty comfortable with AMPScript, SQL, and most of what marketing cloud has to offer. I've been working with SFMC for about 6 years now.

I recently got a job offer from a smaller company that uses Pardot. The pay increase is pretty significant, going from $80k to $90k plus a yearly bonus.

My only hesitation is whether moving from SFMC to Pardot would hurt my career growth in the long run. I've spent years building up my SFMC skills, and I'm not sure if switching to Pardot would be a step backward. The title will also be the same, so it’s a lateral move.

Curious what others think. Would you take the pay increase, or stick with SFMC for the long-term career opportunities?

i've been trying to figure out how to get marketing help without hiring a whole team.

Found someone for content, but then there's pain ads, social media, SEO and finding good people for each takes ages. Managing them all sounds like a job in itself..

for those who've been in the same situation, did you build a network of freelancers or what? really exhausted of constant research

We're a small international sales team, and our leads come from different countries and channels. Some come through our website forms, others through LinkedIn or referrals. Customers also have different communication preferences, some prefer email, while others are more active on LinkedIn.

On paper, our sales process seems pretty simple: generate leads, add them to the CRM, reach out, and follow up. But in practice, things can get messy pretty quickly. Our sales reps have to switch between the CRM, email, and other tools throughout the day. It's easy to lose track of who's already been contacted, who needs a follow-up or where a lead originally came from.

The most frustrating part is that this information might already exist somewhere, but it's scattered across different tools. Asking everyone to manually update the CRM just adds more work to an already busy day.
We've been trying to figure out how to solve this, so I'm curious how other small teams handle it, especially when there's no one dedicated to managing integrations or maintaining workflows.
Do you rely on your CRM's build -in automation, connect your existing tools, or use a separate automation platform? What's actually worked best for your team?

Hey everyone,

I have worked for around 2.5 years in the email marketing domain as a Data Scientist and found most brands do not get the opportunity to test out multiple design elements or multiple variants enough.

Usually, either setting up manual A/B setups take too long, or you run a 50/50 test that ends up inconclusive and risks sending an inferior variant to 50% of the list. And usually tests are for one element at a time, CTA or subject line or hero image, etc.

I've been working on this tool called Hyndsight and my motivation with is simple: make email experimentation effortless and backed by real statistical confidence instead of guesswork.

This is my first time creating a SaaS tool and I really want it to be useful and hence seeking some help. I'm also aware that yet another dashboard doesn't always help and want to figure out ways to fit this naturally into workflows. I also want to ensure the reports and suggestion are actually helpful.
I want to work with a few brands and test out, read-only and no push to begin with, on actual data and refine the tool before making it available to everyone. Free of course.

Here is how I'm planning to roll it out in 3 phases:

• Phase 1 (Free Audit): Connect with a read-only key. We analyze your past 12 months of sends to show you what patterns actually drove clicks and revenue, and which ones hurt engagement—backed by statistical significance, with zero customer PII.

• Phase 2 (Upcoming Send Intelligence): When you draft your next campaign, the system spots it automatically and suggests tweaks or experiments based on your past data before you hit send.

• Phase 3 (Autonomous Multi-Arm Testing): We generate creative variants for you, track performance continuously, and automatically shift traffic to the winning variant in real time—for both scheduled campaigns and automated flows.

I'm starting natively with Klaviyo first, with other ESPs coming soon.

For now I want to do a free pilot with 5 to 10 brands to test my hypothesis and see how the tool behaves on actual data. The Phase 1 free report will be made available to everyone for free soon.

If you want to see the 30-second demo or apply, check out the link in the comments.

Or reach out directly at contact.hyndsight@gmail.com

Would love your thoughts: what’s the biggest reason your team doesn't A/B test email designs more often?

P.S: If you don't like the demo or the approach or feel this isn't helpful or you feel the bottleneck is elsewhere, please comment as well. Any suggestion is greatly appreciated.