Joe Marston 🚀

Co-Founder

Scaling e-commerce brands to 7 and 8 figures 🚀 | LU Entrepreneur of The Year Award Winner | Founder of The Leading TikTok Marketing Agency and an Award Winning Full Service Ecom Growth Agency.

3x Agency Founder.

We scale brands to 7 and 8 figures with creative, paid traffic, retention and funnel optimisation.

In 2024, having a great product is one thing…

But scaling a brand to £10M is a another.

You need a simple roadmap for profitably attracting and converting customers, at scale.

Because when you get that right…

- You stand out from competitors in the market
- You build a community around your brand
- You acquire customers at will (profitably)
- You turn customers into raving fans 

Giving you complete control over your growth.

We help our clients do exactly that with our proven system that guarantees growth.

1. Initial diagnostic to identify bottlenecks in your business
2. Developing a bespoke growth strategy for your brand
3. Creative ideation and production 
4. Unique UGC collaborations
5. Targeted advertising (Meta, TikTok, Pinterest, Snapchat)
6. Email marketing 

And having generated over £100M+ in sales across 200+ brands, we’ve know the ecommerce game inside out.

🚀 Mystery Shirt In A Box grew from £5K to £2.6M in just one year with our help
🚀 The Essence Vault is hitting 7 figure months in its second year since launch
🚀 Vintage Threads tripled their revenue working with us with a 6x ROAS
🚀 AIRfreshh went from 0% to 52% of revenue from email in 2 months!
🚀 Bene Culture saw their revenue grow 6x in 6 months with our help
🚀 The Oodie generated £2M on TikTok alone in their first year
🚀 UN:IK’s first quarter of 2023 was up 88% on 2022
🚀Grew Liam and Co. 500% year on year

Don’t put up with unpredictable, unsustainable or underwhelming growth any more.

If you want to see how we could help scale your brand, send me a DM saying ‘SOAR’

If you're not ready yet, I post daily educational content to give you all the secrets.

Founder

E-commerce growth agency offering bespoke services to online businesses looking to increase their sales and scale their brand.

Some DTC brands are exiting at just 3x EBITDA. Others are hitting 12x. That’s a £90M difference on a £10M EBITDA business.

A few weeks ago, I co-hosted a private event in Dubai with Emmett Kilduff at The Fortia Group, one of the top M&A advisors in eCom.

Room full of 8-9 figure operators. 

One takeaway came up again and again:

The biggest exit premium isn’t from brand.
It’s from how early you start planning.

We broke down:
- Why DTC brands are leaving millions on the table at exit
- What actually moves your multiple (hint: it’s not your ROAS)
- The 8-part framework Fortia use to engineer $100M+ exits

It’s all in the deck. And I’m giving it away.

If you’re doing £10M+ and thinking ahead 12–36 months, this will save you millions.

Drop “EXIT” below and I’ll send it over.

Building DTC brands to 8 and 9 figures | Founder of Soar With Us & For You Advertising | Triple Whale's "Agency of The Year" Winner

We’ve stopped using ROAS and CPA as our north stars. Here’s why.

Since the Andromeda rollout, Meta’s algo is making delivery decisions before ROAS or CPA ever show up.

Which means:

→ If you’re still using CPA to spot winners, you’re already too late.
→ If you're scaling on ROAS alone, you're scaling old data.

We’ve rebuilt how we benchmark creative across every account and replaced the old north stars with these two:

1️⃣ CPMR: Cost Per 1,000 Reached Accounts

This tells us how efficiently we’re reaching net new people, not just blasting the same warm pool.

→ High CPMR = your creative looks repetitive, low-signal, or unengaging
→ Low CPMR = Meta sees your ad as scroll-stopping, high-signal, and worth delivering

We track this by:

→ The account level (trend over time)
→ Format level (UGC vs static vs story-style)
→ Persona level (motivator x demo)

2️⃣ New Visitor %

Cheap reach means nothing if it’s not fresh.

This tells us how well a creative is breaking out of its bubble and unlocking new demand.

→ High CTR but low New Visitor %? You're just retargeting your existing crowd.

→ Low CPMR + high New Visitor %? Signal to scale.

→ High CPMR + low New Visitor %? Scrap it. Meta’s not even trying with that asset.

This metric = your clearest look at creative incrementality.

We’ve now built both metrics into every client dashboard.

They're how we:
- Spot early winners
- Catch creative fatigue before performance tanks
- Scale without flying blind

Most brands won’t adapt fast enough. But Andromeda is live. And Meta’s already deprioritising ads that don’t play by the new rules.

You can build a business with anyone.
But you can only succeed for six years
and scale it to seven figures in profit
with someone you genuinely trust.

Everyone told us that being friends in business was a recipe for disaster.
Yet here we are.
Six years later.
Still good friends.
Still building.
Leading the agency game.
Multiple businesses together.
Nowhere near finished.

We’ve been friends since our early teens.
We failed twice before Soar.
We lived together for two years.
We learned each other’s strengths the hard way.

Then we moved to different cities.
And that’s where most Co-Founder friendships fade.
Not because of conflict.
Because every call becomes a work call.
And the friendship slowly disappears.

So we do the opposite.
We intentionally protect the relationship that built the business.

Olly flew out to Dubai last week.
No heavy agenda.
No rush.
Just space to reset properly.

Half work.
Half downtime.
One of the most productive weeks we’ve had all year.

We hosted a private Ecom roundtable with The Fortia Group.
Shared what we’re seeing in the market.
Answered questions.
Then kept the discussion going over dinner.

We organised a supplier for our new brand launch next year (more details on that soon).

We caught up with agency friends we’d only spoken to online.
Face-to-face made everything sharper and more actionable.

Random conversations turned into strategy.
Breaks turned into breakthroughs.
The quiet moments gave us clarity heading into 2026.

And the friendship got stronger again.
Which always makes the business stronger.

Founder lesson:
If you don’t protect the friendship,
you won’t protect the business.

Keep the relationship alive.
That’s how you survive long term.
And that’s where the real profit comes from.

Feeling overwhelmed with gratitude right now… 😄

This is our agency 2025 Black Friday social.

4 years ago this was a handful of people.

Now we have over 70 people in one room and that’s not even everyone…

So grateful for everyone who’s helped us on this journey

We audit 8-9 figure brands each week and we still see this one common mistake. 

👇THIS is the reason why your ad performance is tanking right now:

Your funnel is misaligned as you’re speaking “Product Aware” to a “Problem Aware” market.

So many brands try to scale on guesswork. They don’t know what their audience knows, so they can’t build creative that actually converts.

📉 Ads fatigue faster.
📉 CPA creeps up.
📉 New customer revenue stalls.

So we’ve built a fix: a Funnel Awareness Framework built around 5 levels of audience awareness—refined through 50+ accounts and decades of classic advertising theory.

Inside the playbook:

✅ The 5 audience awareness stages:
✅ Messaging strategies that actually match where your audience is
✅ Creative vehicles that cut through at each funnel stage
✅ Tactical breakdowns on how to rework your split to unlock scale

If you’re wondering:
- Why scale feels more expensive every month
- Why your top ads burn out in 7 days
- Why your funnel performance is stuck...

Start here.

Like this post
Comment “FUNNELS” and I’ll send over the resource.
(Make sure you’re following so I can DM you).

We’ve scaled 8 and 9-figure brands where one founder-led ad outperformed everything in the account and generated £2million in revenue.

When it’s raw, real, and structured right, founder content becomes a scaling lever, not a brand play.

But most brands get it wrong.

Either they overscript and kill authenticity… Or they throw up iPhone clips with no strategy.

So we built a framework that fixes that.

A simple cheat sheet that breaks down:

- The 9-part emotional arc behind every high-converting founder ad
- The exact storytelling structure that hooks, converts, and builds trust
- Plug-and-play hooks that stop the scroll
- Real examples from top-performing brands
- The best questions to ask to pull founder story gold

It’s punchy, practical, and built for scale.

If you're a founder (or you're running a brand where the founder *is* the story), this will help you turn your origin story into real revenue.

Like this post
Drop “founder” in the comments and I’ll send it over
(Make sure we’re connected so I can DM you).

Meta just launched the biggest creative update in years and most of you haven’t even realised.

We uploaded 20 new ads into an account. Meta grouped 15 of them as the same ad.

→ Same Entity ID
→ Same learnings
→ Zero new reach

Loukas just dropped a masterclass on how to avoid this penalty...

Here’s the biggest takeaways from the episode:

1. Meta now tracks ads using Entity ID
It doesn’t matter how many variations you upload.
If your visuals look similar (same text, same persona, same framing) Meta will group them.
That means one thing: creative similarity = performance decay.

2. Minor tweaks no longer count as iterations
Old method: change the headline, try a new voiceover, maybe shorten the clip.
New method: change the format, vehicle, and persona or don’t bother.
We now run fewer iterations per sprint, but each one is a bigger swing.

3. Visual change is the most important layer
Your first 3 seconds must be visually different.
→ A new creator in the same kitchen? Penalised.
→ Different script, same framing? Penalised.
→ Same product shot on marble with a new caption? Still penalised.

If Meta can’t visually tell the difference, it won’t give you a new Entity ID. And without that, your reach is throttled.

4. Iterate like this instead
We’ve replaced our iterative testing model with this stack:
→ Format: Static, UGC, high-prod, hybrid
→ Vehicle: Reddit native, podcast, founder VSL, testimonial
→ Persona: 40+ men, 50+ menopausal, Gen Z wellness, etc.
→ Hook angle: pain-point, fear, discovery, curiosity, etc.

Every winning message should now be run through 3 - 4 completely different vehicles, not just line edits.

5. Whitelisting becomes even more powerful
Each whitelisted ad uses a different Page = different Entity ID.
Which means Meta treats it as completely fresh.
Whitelisting now unlocks creative reach and performance diversity, not just social proof.

The takeaway? Your creative process needs to evolve.

→ More upfront persona research
→ More vehicle variety
→ Less lazy iteration
→ Higher volume of truly differentiated ads

Catch the ep here: https://lnkd.in/eZPN9sT7

some people wake up at 4am
run 30 miles
ice bath
no excuses

you see david goggins
and suddenly normal feels weak
average feels like failure

when i was younger
focus was impossible
discipline felt like a myth

I bounced between ideas
half finished everything
always distracted
always chasing the next hit of motivation

I thought success meant becoming extreme
superhuman
wired different

but the truth is quieter

you do not need perfect focus
you need daily progress
one small action
one hard choice
one uncomfortable task

not heroic
just consistent
today’s world makes it harder to stay steady
endless noise
constant comparison
highlight reels everywhere

so i stopped trying to be extraordinary overnight
and started trying to be better than yesterday

one focused hour
one hard email
one real workout
one honest decision

done daily
that stacks
that compounds
that changes everything

discipline is not a personality
it is a habit
repeated long enough
to transform into identity

clear lesson
you win by moving forward a little every day
not by trying to become goggins overnight

Last month, GMV jumped from £200 to £6,000/day in under a week.

And the biggest driver? A creative format we didn’t expect to work on TikTok at all. 

High-production, Meta-style assets.

Specifically, the founder answering FAQs direct to cam, layered with an AI voiceover. Originally built for Meta. 

We assumed it would feel too polished, too “ad-like” for TikTok.

But it’s now outperforming everything and driving 90%+ of total paid spend.

Yes, the brand’s also scaling through affiliates, which is bringing fresh eyes. But the real volume? It’s coming from these signal-rich, high-prod assets.

It’s made us rethink our assumptions around cross-platform creative.

What we thought would only work on Meta is now a top performer on TikTok.

We’re 100% testing this across more accounts.

What’s actually converting on Meta right now (Q4 trends from high-spend accounts):

If performance is flat heading into peak, it's probably not your product.

You're just not building for how Meta works today.

Here’s what’s cutting through right now:

1️⃣ Statics still scale

- Bold text, stat-led headlines and timelines are outperforming generic benefit copy.
- We’re seeing AI-style visuals + punchy copy drive scroll-stopping CPMs.
- Think: big numbers, human tone, ad that feels like a post.
- Native-feeling carousels work too, but only if you drop the polished brand voice.

2️⃣ Hooks > polish on HPs

- The best-performing hooks right now feel ripped from organic:
  "Here's what most brands get wrong..." or "Why I stopped doing X..."
- We’re leaning into founder/influencer POVs stitched into scripted flows.
- Objection-led HPs convert, especially “vs” style frameworks (us vs them, old vs new).

3️⃣ UGC is less about format, more about diversity

- The TikTok Shop-style raw look is working, but only when you mix creator POVs.
- Our top UGC ads use 4–5 creators hitting the same problem from different angles.
- Voiceless demo ads are creeping back into rotation too. Worth testing again.

In short:
→ Statics need specificity and visual edge
→ HPs win on story, not polish
→ UGC scales through multiple voices, not one creator

Can’t believe we’re sharing this for free…

This episode is INSANELY valuable.

Listen to how our MD went from employee number 1 to leading a company of 70+ in 6 years.

Shoutout to Matt Lewis 

Give it a watch on YouTube. D2C diaries

This is the difference between an £80k and £500k BFCM weekend👇
(And I’ve got the unlock most brands don’t even know exists).

Black Friday’s 4 weeks out.

Your CPA is down. AOV’s up. Ads are finally cracking.

Then Stripe delays a payout. Inventory’s tight.

And your biggest window of the year gets blocked, by cash.

We’ve seen it happen to 8-figure brands spending £250k+/month. Not because performance isn’t there. But because finance can’t move at the speed of growth.

Wayflyer gets it.

They’ve funded Wild, Cuts, True Classics, Dock & Bay, and 5,000+ others, so they never have to miss momentum.

💰 They’re giving ambitious DTC brands $25K in upfront capital for $1.8K total cost on the run up to BF/CM (that’s 1.2% per month over 6 months). No equity. No hidden fees. Just the fuel to move when it matters most.

Here’s what that unlocks:

✅ Scale your best creatives while they’re pumping
✅ Restock fast movers before they sell out
✅ Get approved in hours, Shopify, Amazon, whatever your stack

The brands that win BFCM don’t have the deepest pockets. They move fastest.

If your ads are landing, don’t let cashflow slow you down.

👉 Apply here and get $25k next week: https://lnkd.in/eJRUWJ-P

There’s a moment every founder hits where growth isn’t the problem - it’s everything underneath it.

You’ve scaled revenue. You’ve built a team. But everything else starts to crack.

That’s exactly where we were 18 months ago.

This week, we sat down with Matt Lewis, our Managing Director at Soar Group, to unpack how we rebuilt the *infrastructure* behind our agency as we scaled to 80+ people.

They talk through:

→ What changed operationally as we scaled to 80+ people
→ Over-focusing on revenue growth
→ How feedback loops were operationalised
→ The forecasting model Matt built
→ Using role-specific KPIs that ladder up to the P&L
→ Matt’s origin story as employee #1

Behind the scenes, Matt’s been one of the most important drivers of how we operate today.

If you’re building a team or running into growth pains, this one will land.

🎧 Catch the full episode here https://lnkd.in/eFkcg6b9

We 3x’d spend in 14 days, by adding one persona.

Most brands hit a wall, not because the product’s capped, but because the person they’re selling to is.

We see it every month:

– CTRs plateau
– Spend stalls
– Everyone’s panicking over hooks and formats

When the real unlock isn’t messaging. It’s who you’re talking to.

That was the case with a health brand we scaled recently.

They were stuck in a loop: iterating on the same 25–35 demo, same UGC styles, same offer.

Solid CPA, but volume was capped. Nothing new was scaling. So we stopped optimising and started diversifying.

We pulled Reddit threads, X searches, Google Trends.

One insight that stuck out: 30% of women going through menopause struggle with severe bloating and most “gut health” brands weren’t speaking to them at all.

We reframed everything around that one pain point:

– Built 3 new persona storyboards
– Validated the angle with live convo data
– Refreshed visuals + format for 45+ demos
– Decreased editing pace by 20–30%
– Layered in soft CTAs every 10s to build trust

Result? 3x spend in 14 days, with CPAs -18% vs BAU.

Meta rewards net-new impressions. That’s why “persona-first creative” is outperforming hook-first testing across most top-spending accounts.

Because every persona = a new pool of distribution, and a new window of scale.

And your best audience might not be who you built the brand for.

Want a deeper dive of this? Head to the podcast where the guys break it down further: https://lnkd.in/e8vS_2Xi

Over the last 3 years, my 2 agencies For You and Soar With Us have collectively managed £40million in ad spend and shipped over 20,000 creatives on TikTok alone.

This guide outlines our creative system that we’ve used to help 150 brands scale predictably and profitably.

We’ve laid out the exact 5-phase flywheel we use to operationalise creative for the most ambitious DTC brands:

1. Research – Trends, AI, reviews = clear direction
2. Strategy – Align creative to product economics
3. Execution – Modular assets built to scale
4. Testing – Isolate what moves the needle
5. Iteration – Build feedback loops that compound

🔄 TikTok isn’t an ad platform. It’s a creative ecosystem where content, commerce and community feed each other. And this guide will show you how.

Want the playbook?

Like this post
Comment “TIKTOK” and I’ll send it over
(Make sure you’re following so I can DM you).

We were too focused on growth, not out of stupidity but out of naivety.

This year we ran Soar With Us completely differently.

We stopped chasing volume.
We stopped hiring reactively.
We stopped pretending top-line growth meant success.

Here’s how we actually ran the business in 2025 and why it's been our most important year yet:

Forecasting became a strategic weapon.
No more gut-feel growth targets.
We built full-funnel forecasting across revenue, client mix, hiring, and profit targets, driven by a balance of commercial ambition and team capacity.
It's removed chaos and clarified decision-making across every department.

Culture got rebuilt from the inside out.
We didn't write values in a vacuum.
We ran a full-day offsite with the entire team to rewrite our mission, values, and behaviours, then operationalised them into hiring, reviews, and even client relationships.
Result? Better people, better work, better culture.

Client strategy > client volume.
We halved onboarding capacity and focused on deeper, higher-value partnerships.
That means fewer clients, more strategic impact, and significantly higher retention.
We’re finally seeing the compounding effects.

Feedback became a competitive advantage.
We built a culture of kind candour, rolled out 360 feedback across the company, and trained every manager on how to receive and close the loop on feedback.
It’s helped us level up faster than ever before.

Revenue came from within.
For too long, we were addicted to new business.
Now, 40%+ of our growth is from client expansion - cross-sells, up-sells, and moving partners through value tiers.
It’s lower friction, higher trust, and way more profitable.

Most people assume the next level of growth comes from more work, more ads, more hiring.

For us, it came from subtraction.
→ Less noise
→ Fewer distractions
→ Clearer intent

We’re ending 2025 leaner, smarter, and more strategic than ever before.
2026 is about scaling with that same clarity.

If you’re in agency leadership and you’re scaling fast, but feeling stretched thin, here’s the blueprint that helped us get here: https://lnkd.in/eFkcg6b9

We’ve scaled pet & homeware brands in markets with 100+ competitors.

Here’s what actually cuts through.
(and it’s not a better product)

→ “Us vs them” outperforms pain-led messaging
These categories don’t trigger visceral problems so instead of selling relief, we’re seeing brands scale by positioning their solution as the elevated choice.

→ Homeware scales when you stop talking about the product and start showing the life it upgrades
Think luxury, ease, or emotional enhancement of a space.
The goal is: “This makes my life feel better.”

→ Pet content is all about aspiration, not need.
The core motivator? “My pet deserves the best.”
Not health stats. Not price. Just pure emotional resonance.

→ Convenience is the untapped lever
Especially for homeware brands speaking to maternal or over-capacity personas. If it saves time, stress, or mental load, say that clearly. It works.

→ Don’t ignore the saturated market reality
There’s no shortage of pet food or homeware options.
What wins is category contrast. Your creative should say:
“We’re not like the rest and here’s why.”

If your pet or homeware brand is stuck explaining the product, zoom out.

Start showing what it means for the person using it.

Working in another niche and want a breakdown like this?

Drop me the category and I’ll tell you what’s converting right now.

Meta just made creative volume 10x harder and this (👇) is the only thing that makes it scalable.

Here’s where creative strategy is heading in 2026

1️⃣ Creative similarity penalties make AI non-negotiable
Meta now groups “similar” ads under one Entity ID.

→ Minor tweaks = same learnings
→ Visual sameness = limited reach
→ Iterations = wasted budget

Without AI, creative cost balloons trying to brute-force variation.
With AI, we’re getting 10x the output at 30–40% of the cost.

2️⃣ AI is solving the creative similarity problem
We’re seeing 70% of ad iterations get grouped under the same Entity ID. That’s a massive waste of output. Using AI helps us inject visual diversity at scale, without tripling post-prod costs.

→ Sora / VEO for visual metaphors and VO hooks
→ Nano for high-scale statics + brand visuals
→ Gemini to analyse video and guide variation strategy
→ Frame 4.0 to organise and deploy assets at scale

You wouldn’t ask an editor to shoot the ad. So why are your strategists still prompting raw?

3️⃣ Asset warehousing becomes your competitive edge
You can’t scale creative if you can’t find it.

We’re building a library of every product B-roll, VO hook, and visual format, tagged, labelled, and instantly promptable through Frame 4.0.

At the same time, we’re warehousing ad performance data, call logs, and internal learnings and feeding that into LLM workflows to automate creative direction.

The better your data layer, the smarter your AI outputs.

The takeaway:
→ Treat AI like a production department
→ Build creative systems that scale visual diversity
→ Train AI with real data
→ Give your strategists new tools, not new roles

🎙 Catch the full breakdown here: https://lnkd.in/eAwJAcMV

One of our best-performing ads came from a menopause stat we pulled off X and it unlocked over £40K in spend.

👇 This is how we got there and it’s the most overlooked step in creative strategy.

Everyone wants to jump straight into execution (more ads, new hooks, new creators), but if you skip the research phase, you’re not optimising.

Every signal you need already exists. You just have to extract it → interpret it → structure it.

We’re using a Grok + X stack to build creative angles from live audience sentiment.

In this case, the prompt surfaced a clinical study showing women going through menopause are 30% more likely to suffer from bloating.

Then it got interesting:

→ Pulled real Twitter convos around the pain point

→ Surfaced the emotional language people actually use

→ Mapped funnel stages (unaware → problem aware → solution aware)

→ Uncovered a totally untapped, high-intent angle

We built around it. New persona. New message. New positioning.

That ad crushed.

Once you understand the human drivers behind conversion (the objections, motivations, and phrases people actually use) you can build creative that just makes sense.

Want the prompt that unlocks different personas like the example in the image?

Like this post
Comment “GROK” and I’ll send it over
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If you can help with hiring the BEST Creative Strategist talent please comment below.

A-players only. Must have experience with D2C.

WebMetrix

Founder and Web Analyst

Chief Executive Officer

Founder 

JumpBall LLC

E-commerce Marketing Manager

PartnerStack

Sales And Marketing Specialist

10 Minute School

GTM/GA4, Web Analytics and Conversion Tracking/Optimization Specialist | Helping Agencies and Advertisers Track and Maximize Paid Ads ROAS | Generated over £17.5M in additional revenue for my Clients

Your clients rely on you to deliver results. But even if you’re excellent at what you do, inaccurate data or weak tracking can destroy your campaigns.

Here’s the reality:

   ❌Campaign performance suffers because conversions aren’t tracked properly.
   ❌Your clients lose confidence when reports don’t show the full picture.
   ❌Scaling campaigns becomes a guessing game without accurate data.

Sound familiar?

Now imagine this:

    ✅Every click and conversion is accurately tracked across platforms like Google Ads, Facebook, TikTok, GA4 and more.
    ✅Your clients trust your reports and see the ROI of their investment.
    ✅You’re positioned as a reliable expert in your industry, with campaigns that run smarter, not harder.

That’s where I come in.

Here’s how I can help:

    🤝Conversion Tracking Optimization: From server-side tracking to enhanced conversions, I ensure every lead and sale is accurately captured.
    🤝Advanced Analytics Setup: GA4, GTM, and custom Looker Studio dashboards that provide actionable insights for your clients.
    🤝Brand Authority Growth: Helping you communicate results effectively, positioning you as a trusted partner to your clients and skyrocketing revenue without extra ad spend.

The Results?
Save money, achieve higher ROAS, boost client retention, and scale campaigns with confidence. 

If you’re serious about optimizing tracking and taking your ad campaigns to the next level, let’s connect and make it happen.

👉 Shoot Me a DM or BOOK a CALL with Me

I'll see you at the top.

MD.Rakib Hasan 🛠️

The biggest threat to healthcare ads isn't Meta's policy.

It's how much conversion data you can no longer see.

Meta is limiting conversion visibility
for accounts labeled Health and Wellness.

That label is based on your site and apps.
If assigned, mid- and lower-funnel events
may be hidden from your ad reports.

Events at risk include:
Add to Cart
Purchase
Subscribe
Schedule
Find Location
Contact
Lead

Losing conversion visibility is a nightmare.
But there are practical steps to reduce harm.

Start with these 5 actions:

1. Appeal your categorization
↳ You can request a review from Meta.
↳ Success is rare unless misclassified.

2. Focus on top-of-funnel events
↳ Use page view and search events.
↳ These show interest but not conversions.

3. Use custom events cautiously
↳ You take responsibility for the data sent.
↳ Never send PHI. Limit shared data.

4. Use event codenames carefully
↳ Avoid PHI in event names.
↳ "colonoscopy_scheduled" is risky.

5. Block PHI with a proxy
↳ Use HIPAA-compliant trackers.
↳ Send redacted conversions to Meta.

Health ad compliance keep changing.
Removing the Meta Pixel cripples performance.
So plan for privacy without losing scale.

Which of these will you try first?
Share your approach in the comments below.

♻️ Repost to help other healthcare marketers adapt.
And follow MD.Rakib Hasan 📈  for more practical guides.

MD Rakib Hasan 📈

Helping E-com & Lead Gen Agencies Set Up or Fix Tracking Glitches Before They Eat Your Ad Budget | GA4, GTM, Server-Side & Paid Ads Conversion Tracking | Added £27M+ in Client Revenue | White-Label Partner You Can Trust

Your ads pour money in.
Customers leak out faster.

(Welcome to the trap called "funnel blindness")

I watched it happen to an e‑commerce brand last month.

– Big ad budgets. Low-quality traffic.
– Cracked landing pages. High bounce rates.
– Confusing checkout. Cart abandonment.
– No follow-up. Lost customers.

Here's the ugly truth about broken funnels:

→ High ad spend brings unqualified visitors.
→ Poor landing pages repel interested buyers.
→ Complicated checkout turns intent into loss.
→ No follow-up wastes lifetime value and churns buyers.

I see it everywhere:

– Marketers splurge on clicks, not outcomes
– Founders optimize ads, ignore post-click
– Teams blame creatives, not funnels
– Sales targets miss because retention fails

But here's what an optimized funnel does:

✓ Targeted ads drive qualified traffic
✓ Clear landing pages lower bounce rates
✓ Simple checkout completes purchases
✓ Automated follow-up creates repeat buyers

Because at the end of the day:

Result: Low CPA, high ROAS, scalable growth.

Fix the funnel before you scale the spend.

PS. Which stage in your funnel leaks the most?

MD Rakib Hasan

Helping E-com & Lead Gen Agencies Set Up or Fix Tracking Glitches Before They Eat Your Ad Budget | GA4, GTM, Server-Side & Paid Ads Conversion Tracking | Tracked £50M+ Client Revenue | White-Label Partner You Can Trust

Conversion tracking is used by millions of advertisers.

But most people don't understand its true power.

So I built a conversion tracking checklist showing you how:

Tracking conversions isn't optional.
It's the backbone of scalable growth.

Here's EXACTLY what's inside.

1. How to map conversion events across platforms
2. The exact tags and pixels you must install
3. My validation steps to ensure data accuracy
4. How to attribute conversions to the right channels
5. A 4-step audit you can run in 10 minutes
6. Reporting templates that show true ROI

And so much more, every section is action-first.
I built it from scratch based on live campaigns.

If your numbers feel wrong or unpredictable...

This checklist is exactly what you need today.

Comment CHECKLIST and I'll DM you the link.
Connect with me so I can send it.

PS: What is 1 conversion metric you struggle with?

At scale, your Meta results often look wrong.

But it's usually a tracking mistake.

1. Pixel & Event setup

Then: Pixel firing on every page.
Then: Multiple purchase events sent.
Then: Missing or wrong event parameters.

Result: Inflated or missing conversions.

Today: Fix single pixel per domain.
Today: Validate events in Test Events.
Today: Use proper event names & params.

2. Attribution & reporting mismatch

Then: Using last-touch metrics by default.
Then: Ignoring attribution windows.
Then: Comparing Meta to GA without context.

Result: Numbers that contradict each other.

Today: Match attribution windows.
Today: Align conversion definitions.
Today: Compare apples to apples only.

3. Server-side & deduplication

Then: Browser pixel + server events both sent.
Then: No event_id to dedupe.
Then: Ad blockers blocking browser hits.

Result: Double counts or missing data.

Today: Implement Conversion API.
Today: Send event_id for deduplication.
Today: Monitor matched rate in Events Manager.

One thing that's never changed, though:

Then: I blamed Meta dashboards.
Today: I fix tracking first.

When 1-2-3 above are accurate, results make sense.
Because your data stops lying to you.

Please don't optimize ads until your tracking is clean.

P.S. Ask me about one tracking issue in the comments. Anyone.

When I first posted this concept, it blew up.

This is my no. 1 CAC vs LTV rule:

Customer Acquisition Cost (CAC)
The cost to acquire one customer.

The image breaks down what CAC includes:
1. Marketing spend and campaign costs
2. Sales team salaries and commissions
3. Software and other tools

Goal: Keep CAC low.

Lifetime Value (LTV)
Total revenue a customer brings over time.

LTV depends on three things:
1. Average purchase value per order
2. How often customers buy from you
3. The customer lifespan or retention

Goal: Make LTV high.

Key concept: LTV must exceed CAC
for a profitable business model.

Ideal ratio: LTV: CAC = 3:1

Key takeaway: Acquire customers profitably
and maximize their long-term value.

Question:

Are you tracking LTV vs CAC for your business?

P.S. Repost this so others see it.

Stop wasting money on app-based tracking.
It’s silently failing your campaigns.

Here’s exactly why Custom Pixel + GTM wins on Shopify:

The fix isn't another tracking app.
It's a clear tracking architecture.

Think like an analyst, not an installer.
You need control over data flow and ownership.

High Reasoning Mode
↳ Server-side tracking & end-to-end accuracy

Add these to your setup checklist:

☑︎ "Route events via GTM server"
☑︎ "De-duplicate browser + server hits"  
☑︎ "Validate purchase attribution server-side"

Minimal Reasoning Mode
↳ Quick fixes & simple tasks

Tell your dev or agency straight:

☑︎ "Install client pixel via GTM"
☑︎ "Map purchase and product events"
☑︎ "Send only needed fields"

Verbosity Control → Dial data volume up or down

Control what you send:

☑︎ "Send basic event only"
☑︎ "Send enhanced ecommerce details"
☑︎ "Send raw server events for analysis"

Examples that actually work:

- Short: "Fix missing purchase events in 24 hours."
- Medium: "Implement GTM + server container for better ROAS tracking."
- Long: "Full migration plan: migrate apps, set server GTM, validate, and monitor."

Chain-of-Thought (CoT)
↳ Step-by-step debugging process

"Trace an event: client → GTM → server → vendor. Verify payloads and timestamps."

Perfect for:
- Improving ROAS and cutting wasted ad spend
- Identifying which ads drive real revenue

Tree-of-Thought (ToT)
↳ Compare multiple setups

"Test at least 3 configurations. Compare data loss, latency, and maintenance. Pick the best and document why."

Excellent for:
- Google, Meta, TikTok attribution
- Scaling across Shopify updates

The framework that changes tracking:

1. State the role ("You are my analytics owner")
2. Give context (shopify, apps, ad platforms)
3. Set tracking level (client, server, hybrid)
4. Control verbosity (events to send)
5. Specify output format (raw, aggregated, BI)
6. Ask for improvements ("Audit and harden the config")

Most stores trust app tracking and lose conversions.
Your tracking should be precise, observable, and owned.

Quick tasks = client pixel + basic GTM.
Big migrations = server GTM + full validation.

Stop wasting ad spend on blind data.
Start tracking with Custom Pixel + GTM.

It's accurate, scalable, and future-proof.

Most sites report less data since consent banners rose.

Behavioral modeling in GA4 fills those gaps.

What it does and how to enable it:

1. What modeling estimates
↳ Fills data for users who decline consent
↳ ML trains on consenting users, applies patterns to non-consent

2. Why it matters
↳ Restores more accurate metrics while protecting privacy
↳ Better user counts, sessions, journeys, and geo data

3. Modeled vs observed — quick note
Observed (consent)
↳ Tracked from consenting users
↳ Events tied to sessions

Modeled (estimates)
↳ Estimated for non-consent users
↳ Events are anonymous and aggregated

4. How GA4 builds modeled data
↳ Holdback validation tests — GA4 withholds data to validate predictions
↳ Adaptive models per property — learns from your users, activates only with quality data
↳ Privacy-first approach — anonymisation and Google quality checks

5. Prerequisites to enable modeling
↳ Consent mode must be sitewide (Advanced consent mode)
↳ Tags must load before consent if flags are set before Google tags
↳ Data thresholds:
  ↳ 1,000 denied events daily × 7 days
  ↳ 1,000 granted users daily × 7/28 days

6. How to show modeled data in reports
↳ Admin → Data Settings → Data Display → Select “Blended” → Save
↳ Blended = observed + modeled

7. Where modeled data appears (and where it doesn’t)
↳ Appears: standard reports (higher users & sessions), some geo and journey data
↳ May differ: Explorations
↳ Look for data-quality icons
↳ Not applied to: Audiences, Explorer/Cohort/Lifetime reports, sequence segments, retention, predictive metrics, BigQuery exports

8. Seven-step checklist to start
1) Role: define the property owner and assign consent/modeling owners
2) Task: implement Advanced consent mode; ensure tags load with consent flags
3) Format: choose Blended reporting ID
4) Warnings: monitor modeling limits — it stops if thresholds fail
5) Reasoning: modeling restores visibility while balancing privacy
6) Stop conditions: watch for drops below thresholds or repeated validation failures
7) Context: supply product, region, traffic details to improve relevance

GA4 modelling analysed:

☑︎ Fills gaps from consent declines
☑︎ Keeps user anonymity
☑︎ Restores visibility in core reports
☑︎ Requires sitewide consent mode and volume thresholds


Will you enable modeling in GA4? Share how it goes in the comments.

This week, I'm diving into why server-side tracking matters  
for accurate conversion tracking.

Marketers who rely only on client-side lose data.
Browsers and ad-blockers are silently dropping events.

Server-side tracking captures events reliably.
It moves critical data off the browser.

That reduces ad-blocker loss.
It prevents attribution gaps from breaking metrics.

It also improves data privacy controls.
You decide what to forward to ad platforms.

Because conversion accuracy isn't luck, it's architecture.
You need a reliable pipeline, not fragile scripts.

If you want conversion data you can trust,
Start moving key events server-side today.

The old conversion tag underreports sales.
(Welcome to the fix called Enhanced Conversions)

I watched this change roll out last quarter.

– Your basic pixel? Misses many conversions.
– Enhanced conversion? Matches more users.

Here’s the simple flow the infographic shows:

– User action: customer converts on site.
– Data collection: site captures email or phone.
– Secure upload: hashed data sent via HTTPS.
– Match & attribute: Google links hashes to accounts.

I see it everywhere:

– Marketers blaming poor ROAS.
– Clients asking for more accurate data.
– Agencies switching tag setups overnight.
– Teams scrambling to implement server uploads.

Numbers tell the rest:

– Old tagging → undercounted conversions.
– Enhanced conversions → better match rates.
– Better matches → smarter bidding.
– Smarter bidding → more efficient spend.

What to do now:

✓ Capture first-party contact data securely
✓ Hash data client-side or via GTM
✓ Send via server-to-server HTTPS or API
✓ Use matched conversions for bidding signals

When your conversions improve,
you stop guessing and start scaling.

PS. Have you enabled enhanced conversions yet? What stopped you?

Oh, we are so tracked. Cookies run web analytics.

They quietly follow visits across pages.

1. User visits a website.
2. Server sets a cookie in response.
3. Subsequent visits send that cookie back.

☑︎ Recognizes returning users
☑︎ Tracks sessions and page paths
☑︎ Enables personalization per user
☑︎ Measures conversions and funnels
☑︎ Distinguishes first vs third party

→ Sent in HTTP responses and requests
→ Often includes an ID and expiry date
→ Read by analytics platforms like GA
→ Stored by the browser with each request

There’s no single technical mystery here.
Just a tiny file linking behavior to IDs.

Save this. In 10 years, you'll remember
when small bits of data felt intrusive.

Repost for others who need to see how tracking works.

This is my biggest landing page win.

I fixed conversions without a redesign.

Problem: "My client's landing page isn’t converting."

But I stopped guessing and started measuring.

Solution: How to analyze heatmaps for conversion bottlenecks.
Solution: How to improve CTA placement using scroll depth data.
Solution: How to A/B test headlines and images for impact.

I applied all three in one sprint.

The thing that surprised me, though?

1. No full redesign needed.
2. Conversion lift in just weeks.
3. Changes were cheap and repeatable.

Proof that small, data-led fixes win.

On a scale of 1-10, how urgent is this for you?

P.S. Comment "CHECKLIST" and
I'll send a conversion audit checklist.

Your clients don't want the process.

They want the result.

If you're serious about delivering outcomes,
You need to treat your service like a business.

It's one thing to promise great work.
It's another to prove impact with real data.

Most ad accounts track conversions.
But they still miss the real wins.

I audit ad accounts weekly.
And 90% make the same tracking mistakes.

1. Events fired but not deduped.
2. Conversions counted on multiple tags.
3. View-throughs treated as first-touch.

The result? Inflated ROAS.
Misleading bids and wasted budget.

Yet most managers blame creatives.
When the tracking math is broken.

Fix the tracking first.
Then optimize bids and audiences.

Do the audits. Save ad spend.
Scale with real data.

P.S. One clear tracking fix
can double your optimization signal.

First-party vs third-party data: quick guide

Know the real differences before you buy or build.

1. First-party = data you collect directly.
2. Third-party = data bought from others.
3. Sources (first): website, apps, CRM, emails.
4. Sources (third): data brokers, other sites.
5. Ownership (first): full control, owned by you.
6. Ownership (third): limited control, licensed use.
7. Use cases (first): personalization, retargeting, loyalty.
Bonus: Don’t replace consented data
→ with cheap, broad lists for scale.

Key benefit (first): higher accuracy, consent-based.
Key challenge (third): privacy concerns and costlier reach.

Use data smarter, sell smarter = This is the whole game.

P.S. Which data source are you prioritizing this year?

After auditing 100+ ecommerce store data, one thing's clear.

(It’s all about clean tracking and better insights)

Reducing CAC and boosting LTV
starts with accurate conversion data.

Small tracking errors inflate ad costs.
Bad data leads to wasted acquisition spend.

You need:

♡ Server-side tracking to capture lost events  
♡ Cookie Consent V2 for compliant data collection  
♡ First-party domain tracking to fix cross-domain gaps  
♡ Heatmaps to spot UX drop-off points  
♡ Custom GA4 setup for precise event modeling  
♡ Looker Studio dashboard for unified reporting

With these in place, we could trust our metrics.
That lets us optimize bids and creatives confidently.

The result: lower CAC per conversion.
And higher LTV through better retention moves.

If your analytics feel fuzzy,
Start with tracking, then build reports.

PS. Want a checklist to apply this to your store?

Enhanced conversions are often the fastest accuracy boost
you can add to Google Ads.

But it's not the only change that matters.

Step 1: A user converts on your site.
Step 2: The site collects email or phone.
Step 3: Data is hashed on the device.
Step 4: Hashed data uploads securely to Google.
Google then matches hashes to logged-in users.
That improves attribution and bidding.

Most advertisers stumble because they:

• Send unhashed data or skip hashing
• Use insecure upload methods
• Expect perfect matches without testing

I used to rely only on cookies for tracking.
Conversions felt incomplete and noisy.
Switching to enhanced conversions improved match rates.

Key benefits are clear:
Increased accuracy, better bid optimization,
and more powerful audience targeting.

CAC vs LTV decides if your business survives.

But most founders ignore one side.

CAC is what you spend to win a customer.
LTV is what the customer pays over time.

If CAC > LTV, you're losing money.
If LTV >> CAC, you scale with confidence.

You trade short-term growth for long-term profit.
A low CAC fuels fast growth.
A high LTV buys you resilience.

Healthy benchmark: LTV should be ≥ 3x CAC.
Also measure CAC payback period.
Faster payback = safer scaling.

How to lower CAC:
Keep messaging tight.
Target high-intent channels.
Improve conversion rates.

How to raise LTV:
Increase retention with value.
Introduce upsells and bundles.
Price strategically per value delivered.

Track cohorts, not averages.
Cohort analysis reveals real trends.
Optimize where value leaks out.

I run experiments monthly on these metrics.
Some lower CAC, some boost LTV.
Most improve unit economics over time.

If you want my LTV/CAC Calculator, Comment ''LTV".
It's not for everyone.

But maybe for you.

Most businesses ignore CAC vs LTV.
That mistake costs growth and margin.

CAC tells you what you pay to win a customer.
LTV shows what that customer is worth over time.

Together they answer one simple question:
Are your ads actually profitable or burning cash?

Comment "LTV" to get my CAC vs LTV calculator in your inbox.
It plots your numbers and shows profitability with a graph.

→ Break down how you actually do things
→ Call out the common mistakes you’ve seen in your field
→ Share the hard-won lessons only experience can teach

Start using real metrics to guide your ad spend.
Stop guessing and start scaling with confidence.

PS. What’s one customer metric your buyers can’t just Google?

If you run paid ads and want to scale,
This will save you thousands monthly.

It recovered £18,700 in lost tracked revenue
for us last month alone.

I fix broken tracking for agencies and brands.
The biggest issue I see is simple:

Most teams scale ads on data they can’t trust.

❌Events missing.
❌Revenue misattributed.
❌Dashboards lying.
❌CAC inflated.
❌LTV invisible.

That creates a huge waste of spending.
Teams make decisions in the dark.

So I built a complete step-by-step system.
It turns chaotic data into reliable tracking.

And you can get it 100% free.

Inside, you’ll receive:

- The full DataFlow Mapping Guide (events → revenue)
- Conversion Verification Checklist across Meta, Google, TikTok & GA4
- CAC vs LTV Diagnostic Framework
- GTM + Pixel QA Workflow
- Attribution Conflict Fixing Guide
- Cookie Consent V2 Guide
- Shopify Data Layer
- CRO Checklist for Ecom ( with example)
- And more documented processes we use daily

We use this system across millions in ad spend.
It helps teams scale confidently without guessing.

A client said I could charge £800+ for this.
Today, you can have it free.

To get access:

1. Connect with me
2. Like this post
3. Comment “$$$” below

I’ll send the checklist straight over. No email required.

PS. This will only be active for 48 hours.

Feel free to repost if this helps someone running ads.

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