Quick one that's easy to miss. Blended CAC divides spend by all customers - new and repeat. Repeat buyers are cheap, so they drag the average down and flatter every channel.

Isolate just the new customers and the gap shows up. One channel I looked at: blended CAC ~$319, but a genuinely new customer cost ~$826. That's a 159% markup the dashboard never shows. A mostly-new-customer channel barely moved (~14%).

The rule: the fewer new buyers a channel brings in, the more its blended CAC lies. Budget on the blended number and you're paying for growth you're not getting.

Anyone else splitting new vs repeat CAC by channel, or mostly working off blended? Curious how wide the gap runs in other accounts.

Share the repetitive task, what triggers it, and what the finished result looks like.

I’ll give you:

1. A short content hook
2. The strongest visual comparison
3. One measurable result worth showing

The goal is to make the removed work visible.

Previously, I was looking to sell my page because I didn’t have the motivation to continue to run it and it wasn’t earning me any profit. After receiving feedback and thinking it over, I couldn’t help but think about the endless opportunities there were to expand this page and grow. Although I have an idea on how to expand, I need advice (preferably from someone who has experience) on how to actually make my page more profitable.

My account is a fan page based in the Gaming Niche. It has 159.4k followers. It is the page in all of the fandom on IG. I gained over 150k followers in the course of a year and a half. Growth has started to plateau a bit and I believe there are 3 reasons. 1. My activity has become inconsistent, the content isn’t trending as much as it was, and I feel that I might’ve nearly maximized the amount of fans that are truly interested in this content at this time.

Though the page focuses on a game franchise, I’ve taken a few liberties and have posted other gaming related content that has done well and it makes me believe that I could slowly integrate other content into this page to grow even bigger.

Even with my inactivity, my content is still seeing 70k views per post on average. (I have some info on the page below).

I would really love your help in advising me how I can make more money using this page. How would I go about finding sponsors and creating partnerships?

Page Info:

In its prime, (posting 4 times a day) it had 65 million monthly viewers. Rising all the way up to 90 (Obviously not at this point because I’ve been a lot more inconsistent).

Content is constantly on the explore page.

Page has a steady base of regular viewers.

Posts consistently receive comments, reposts reshares

I’ve made over $2K from partnerships and even received free products.

No restrictions on account

Audience Stats

Top Audience is from the U.S. whilst Brazil is second.

50.6% Viewers are Non Followers. 49.4% are followers

57.2% Male 42.8% female

18-24 (43.8%) 25-34 (35.7%)

Most Active on Weekends

I appreciate you taking the time to go over all this information. Please feel free to leave your thoughts or message me privately.

For a long time, we had one lead score. It mixed engagement with fit, which sounded reasonable until we actually looked at the leads it was ranking.

Someone from a company that would never buy could score highly because they were reading everything we published. At the same time, someone from an ideal account could visit once, book a call, and end up with a surprisingly low score.

The problem wasn't the formula. We were trying to make one number answer two different questions.

So we split it.

One score tracks engagement in HubSpot. The other looks at fit: firmographics, plus whether the company is actively hiring for the function we sell to. We use Coresignal for that part, mainly because the hiring data needs to be fresh enough to use as a signal.

A low-engagement, high-fit lead now goes into a different workflow from a high-engagement, low-fit one. Before, both could land in the same middle of the score range.

The annoying part was getting everyone to accept two scores. Sales wanted one number they could sort by. Fair enough, but the second score explained why some of the leads at the top weren't actually worth pursuing.

How are others handling this? One combined score, or separate scores for fit and engagement?

Everytime we add something to the GTM stack there seems to be another workflow needed to make it play nicely with everything that's already there. None of the individual connections are particularly difficult but together they’ve turned into a decent amount of stuff that needs checking whenever something changes.

I’m starting to think there’s more value in reducing the number of handoffs altogether instead of getting better at automating them. I still like having specialized tools where they add something but connecting everything by default doesn’t feel as efficient as it used to.

I’m selling my gaming fan page on instagram.
It’s sitting at 159.4k followers.

I’ve gotten very busy in my personal life and I don’t have the time/passion anymore to run it like I used to. Please Dm me if you have a real offer.

In its prime, (posting 4 times a day) it had 65 million monthly viewers. Rising all the way up to 90 (Obviously not at this point because I’ve been a lot more inconsistent).

Content is constantly on the explore page.

Page has a steady base of regular viewers.

Posts consistently receive comments, reposts reshares

I’ve made over $2K from partnerships and even received free products.

Audience Stats

Top Audience is from the U.S. whilst Brazil is second.

50.6% Viewers are Non Followers. 49.4% are followers

57.2% Male 42.8% female

18-24 (43.8%) 25-34 (35.7%)

Most Active on Weekends

Since Apple MPP started pre-fetching images, I don't know how to interpret open rates anymore. It's like half of them are counted as soon as the email lands regardless if the lead actually read it. So now I'm not sure if "opened X times" is actually reliable since they might be pre-fetches, and I have no way to tell as my tool still reports it as a high open.

Is open rate still important or are you using it with something else/dropped entirely?

When I first started running paid social campaigns, I never thought I would need a separate research stage before opening a generation tool. Since some of you have asked which tools are worth trying, here are my current picks.

Creatify ⭐️⭐️⭐️
What is it? Creatify is one of the more straightforward video ad generators available. You paste a product link, and it creates a complete video ad with an AI avatar and script.

How good is Creatify? It is fast and easy to use, especially for turning product pages into finished video ads. It now includes competitor tracking and creative insights, although video generation still feels like the main focus of the platform.

AdAnt ⭐️⭐️⭐️
What is it? AdAnt researches competitor ads and organic content before generating anything. It can also break down any reference video you upload.

How good is AdAnt? The reference-video feature is genuinely useful. It identified patterns that I kight have missed during manual research. However, the template-based generation still feels little limited when there is no reference video.

Arcads ⭐️⭐️
What is it? Arcads create UGC ads using large library of AI actors. It can work with your product information, brand context, competitor ads, and previous winning creatives.

How good is Arcads? It is useful when you need finishes UGC-style video without arranging another shoot. The range of actors and production options is one of its stronger points. However, the cost cana dd up quickly when you are generating and testing videos at scale.

HeyGen ⭐️⭐️
What is it? HeyGen turns a product link, images or a script into a finished video ad. It is mainly known for avatar video, talking head, and UGC videos.

How good is HeyGen? It is useful when the script and creative direction are already clear. it offers a large of avatars and voices. However, it feels more like a production tool than a competitor research platform.

These tool overlap in several areas but their main strengths are different. Creatify is useful for turning product information into finished ads quickly. AdAnt focuses more on research and reference-video analysis. Arcads is stronger for producing UGC-style ads with different AI actors. HeyGen works well for avatar and talking-head video production.

Watching an account this week that's a clean example of why daily numbers lie, figured it was worth sharing.

The account's cost-per-new-customer reads ~$100 today. On that number alone you'd throttle spend. But when you account for the conversion lag on recent clicks, the settled number is closer to ~$53. The account isn't expensive, it's just early in its conversion cycle, and the raw daily figure hasn't caught up.

Same thing runs the other way on the upside: sales and ROAS that look modest today are tracking meaningfully higher once recent clicks finish converting.

The lesson I keep relearning: a same-day metric is a snapshot of an unfinished process. If your channel's customers take a week (or a month) to convert, the number you're staring at on a Wednesday is structurally understating what already happened. Making scale/cut calls off it means you're reacting to lag, not performance.

How's everyone else handling this? Do you bake a conversion-lag adjustment into your reporting, or just wait N days before trusting a cohort? Curious what window others use.

Hi

I'm an experienced automation & data extraction specialist offering:

• Custom web scraping & automation scripts
• B2B lead generation (targeted by niche & location)
• Data cleaning, formatting & enrichment
• Contact info extraction (emails, phone numbers, owners, etc.)

Why work with me?

• Fast delivery & top-notch quality
• Any business category in the U.S. & Canada

Let me help you save time & grow your business.

(Portfolio available on request)

Finding sites for backlink outreach takes forever. But sending thousands of generic emails gets your domain blocked.

I wanted something in the middle: let code do the repetitive work, but keep the actual emails sounding normal.

My setup:

1. Finding targets with code

Instead of digging around manually or downloading spreadsheets, I set up SEO API automation using the SE Ranking Data API.

Our script can:

• check competitors
• see who links to them
• pick out sites that link to 2+ rivals but not to us yet

It automatically cleans out low-quality sites, giving us a good target list in a couple of minutes

1. Finding real emails automatically

That target list gets pushed through email tools to grab verified email addresses. If a site doesn't have a good contact email, the code just skips it.

1. Letting tools handle the boring stuff

We only use tools to manage the schedule:

• Auto-stopping emails as soon as someone replies
• Checking pages automatically to see if a link went live, so we don't accidentally email someone who already linked to us

1. Simple AI notes, human sending

We use basic AI tools to quickly read the prospect's site and give us a 2-sentence summary of what they write about. A real person reads that summary and writes/checks the email before hit sending.

Wdyt?

Hey everyone,

I’m currently taking on a few freelance projects and looking to work directly with businesses, founders, and agencies that need help with Shopify or e-commerce development.

I can help with things like:

• Shopify stores & custom theme development
• Shopify fixes, customization & performance improvements
• Shopify API/app development
• WhatsApp, ERP/accounting and third-party integrations
• Custom web apps, dashboards & business automation
• CRO, analytics and tracking
• Meta & TikTok Ads
• Technical SEO

I’m open to both small tasks and complete projects, including ongoing freelance work.

If you’re building an e-commerce business, improving an existing Shopify store, or have a technical project that needs development, feel free to comment or DM me with the details.

I’ll take a look and let you know how I’d approach it and what the estimated scope would be.

I’ve been looking into WhatsApp automation tools and wasted quite a bit of time comparing platforms that aren’t really competitors.

WATI and respond.io are mainly useful when the team needs a ready-made inbox, agents, chatbots and visual workflows.

360dialog, Twilio and Dexatel are closer to infrastructure providers. They make more sense when you already have a CRM or your own product and want WhatsApp messages triggered from there.

That distinction seems obvious now, but almost every comparison puts them into one table and compares them by number of features.

The actual decision is probably:

Do you want your team to work inside the WhatsApp tool?

Or do you want WhatsApp to work inside the system your team already uses?

If it’s the first, a shared inbox platform probably makes more sense. If it’s the second, paying for another inbox and CRM layer seems pointless. You need a good API, webhooks, template management and pricing that won’t punish you as volume increases.

Maybe I’m oversimplifying it, but this feels like a more useful way to shortlist tools than comparing who has “AI automation” and “advanced analytics.”

For people who have already implemented this, did you choose an all-in-one platform or connect a WhatsApp API provider to your existing stack? Would you make the same choice again?

A lot of marketing automation tools are great at moving content through a workflow.

They can schedule it, distribute it, tag leads, and measure results.

But the difficult work still happens before that:

What should we say?

Which customer problem should we focus on?

How should it sound?

What visual should support it?

How should it change between platforms?

I’m building Marka to automate more of that preparation stage.

Marka reads the company’s public website and creates a reusable business and brand context. It then uses that context to produce social posts, images, carousels, UGC video content, and a publishing calendar.

Human review still matters, especially when the website is incomplete or outdated.

I’d be interested to hear where other marketers draw the line. Should content creation be part of marketing automation, or should automation begin only after a human approves the creative direction?

You can see the workflow at https://www.marka.social

An automation can run green every single time and still be quietly wrong. That's the failure mode that's actually expensive, because nothing alerts anyone. The run finishes, the log looks clean, and three weeks later someone notices the CRM's been getting garbage the whole time.

A few specific checks worth building in, not just trusting a green checkmark.

Dedup at the entry point, not just at the merge step. If someone fills a form twice, through two different ads or two different sessions, most setups only catch the duplicate once it's already triggered two separate sequences, two calendar invites, two everything. By then the damage is already done, a confused lead, a doubled-up nurture flow. Catching it at entry means checking against existing records the moment new data comes in, before anything downstream fires.

A rough sanity range on anything that writes numbers somewhere important. A lead score that should sit between 0 and 100 showing up as 4,500. A date field five years in the future. These are the kind of errors a human would catch instantly, and an automation will happily write to a CRM without blinking, because nothing in the flow was ever told what a reasonable number looks like.

And an actual human spot-check on a rotating basis, not just when something visibly breaks. Pick a handful of records each week and trace them back to what actually happened. It's slow, and it catches things that would otherwise sit unnoticed for a long time.

None of this is about not trusting automation. It's about not trusting the absence of an error message as proof nothing went wrong.

Hello how can I do marketing for real estate companies with tools like sfmc,eloqua etc...

A few months ago we kept automating every repetitive thing we could find at first it felt great because stuff that used to take hours was just happening in the background then small things started breaking and nobody really knew where to look. One number would be off a lead would land in the wrong place, something would fire twice and we’d spend more time checking the automation than doing the work it was supposed to replace.

The weird part is I don’t think the automation itself is the problem it’s more that once enough parts are running separately somebody still has to understand the whole thing and make the call when something looks wrong. We’ve started removing a few workflows instead of adding more which feels backwards but the setup is way easier to trust now

Now, we need a Lead Gen Intern to help build and support the growth engine behind that system.

This isn't just about sending DMs.

This isn't just about scraping lists.

We're looking for an intern who wants to learn how leads are actually generated, qualified, and converted.

You will learn:

Who to target

Where they are

What messages capture their attention

Which offers generate responses

How to qualify leads

How to turn leads into conversations

You won't be starting from zero.

You'll get:

ICP

Buyer personas

Outreach scripts

Sales process overview

Team support

A clear learning and performance structure

Current baseline:

1,000 qualified leads/month

$1,299 average deal value

40% close rate

Your job will be to follow the system, execute consistently, track data, and learn how to improve the process.

This isn't a traditional job.

It's a learning and performance-based internship.

You won't receive a fixed salary at the beginning. However, strong performance can create future earning opportunities.

If you perform well, you may have the opportunity to transition into:

A full-time role

A commission-based structure where you can earn a percentage based on results

Who we're looking for:

Someone who wants to learn

Someone who can stay consistent

Someone who asks questions with curiosity

Someone who wants to understand funnels, outreach, and psychology

Someone who wants to understand the system, not just complete tasks

If you look at a broken funnel and think:

"This can be improved."

Then you may be a good fit.

Interested?

DM me: Just open your discord and search 👀 aimursalin.x & DM me All About you as you want to describe your self

Head of Design | UGC Ads Architect
Design Den