E-commerce marketing: your ROAS report and your bank account tell different stories.
Since iOS updates broke pixel tracking, most stores run on ROAS numbers that are part measurement, part fiction. Some kill winning campaigns. Others scale losers. If you’ve burnt budget without knowing which happened to you, the fix starts with the data, not the ads.
E-commerce marketing is revenue growth for online stores, including Shopify and DTC brands, through paid social, paid search, conversion optimization, and retention flows. Beeyacorp’s e-commerce methodology starts with measurement: Meta Conversion API and server-side tracking to restore signal lost to iOS privacy changes, then creative built around highest-AOV products, systematic cart and checkout recovery, and reporting reconciled against store revenue. Documented results include a UK Shopify store growing revenue 76% and a US store growing sales 138% after structural rebuilds.
What e-commerce marketing actually looks like from the inside
If several of these describe your last twelve months of store performance, the problem isn’t your product, it’s the funnel between the ad click and checkout, and that gets fixed with an audit, not more ad spend.
- Your ROAS report and your bank balance tell different stories
- Reported returns collapsed after iOS updates but sales held
- You boost posts because it feels like doing marketing
- Add-to-carts pile up and checkouts stay empty
- You can’t tell which products or campaigns actually make money
- Scaling spend quietly scales losses instead of revenue
The root cause, not the symptom
You’re making budget decisions on ROAS numbers that are half measurement, half fiction.
Since iOS privacy changes broke pixel tracking, most stores run on reported returns that no longer match reality, so winning campaigns get killed and losing ones get scaled. Underneath that, two more leaks: boosted posts buy reach with none of the structure, exclusions, or purchase optimisation that actually drive sales, and checkout friction, from surprise shipping to forced account creation, quietly taxes every ad you run. Fixing creative changes little. Fixing measurement, structure, and the checkout changes the whole economics, because it lets you scale what genuinely converts.
What another quarter of cart abandonment actually costs
A 3x return can lose money on thin margins and a 2x can be excellent with strong repeat rates, so scaling to a generic ROAS target without knowing your real break-even multiplies losses instead of profit. Add broken tracking and a leaky checkout, and every extra pound of spend compounds the problem. The stores that win know their unit economics; the ones that struggle are guessing.
E-commerce needs a different approach, not a generic one
E-commerce runs on measurable unit economics, and everything depends on trustworthy data. Post-iOS, that means server-side tracking and the Conversion API to restore lost signal before any scaling decision. It means structured campaigns built around your highest-margin, highest-AOV products rather than boosted posts, systematic cart and checkout recovery, and reporting reconciled against actual store revenue, not platform-claimed conversions. Targets have to be set against your real break-even ROAS. An agency that scales on platform-reported numbers without fixing measurement is scaling blind.
How we fix e-commerce marketing
Every e-commerce engagement opens with a diagnosis of your ad accounts, your store data, and your checkout flow. We document each finding with evidence, then fix in the order that recovers the most revenue.
Diagnose
We reconcile reported ROAS against real store revenue, measure the signal lost to privacy changes, and find the checkout friction quietly killing conversions.
Structure
We replace boosted-post chaos with structured campaigns built around your best-margin, highest-AOV products, and deploy server-side tracking and the Conversion API.
Convert
We remove checkout friction and build cart and abandoned-checkout recovery, so more of the traffic you already pay for converts.
Scale
We set targets against your real break-even ROAS and scale what converts across paid social and Shopping, with reporting reconciled to your store.
Built on how your buyers actually decide
Not a recycled template. A campaign architecture matched to e-commerce buying behaviour, economics, and seasonality.
- Meta Conversion API and server-side tracking: ROAS you can actually trust
- Structured campaign architecture replacing boosted-post chaos
- Creative testing built around your highest-AOV and best-margin products
- Cart and checkout recovery: retargeting plus abandoned-checkout email flows
- Google Shopping and Performance Max with clean feed and negative structure
- Revenue reporting reconciled against your store, not the ad platform’s claims
From diagnosis to compounding revenue
No new spend goes live until the checkout and tracking hold up. You see revenue per session move on your current budget before we ask you to increase it.
Discovery
We learn your margins, AOV, repeat rate, and best-selling products, so targets reflect real profitability, not a generic ROAS number.
Audit
Tracking, campaign structure, and checkout reviewed. Signal loss and friction documented with a fix-first sequence.
Implementation
Server-side tracking, Conversion API, structured campaigns, and cart recovery go live. Measurement is fixed before scaling.
Optimisation
We optimise toward reconciled revenue and break-even ROAS, improving creative around your best products and recovering abandoned carts.
Scaling
We scale profitable campaigns across paid social and Shopping, with revenue reconciled to your store, not the platform.
E-Commerce results from real accounts
Every revenue and ROAS figure below comes straight from the store’s own analytics and ad platform data, in the same Before / Fix / After format we use in reporting.
Cart-stage plateau to +76% revenue
Before: 299 add-to-carts, 126 purchases, growth stalled.
Fix: abandonment retargeting, creative rebuilt on highest-AOV products, checkout email sequence.
After: the cart stopped being where revenue died.
Boosted posts to structured campaigns: +138% sales
Before: boosted posts, broken attribution, 1% conversion rate.
Fix: structured Meta campaigns, 163 cart-abandoners retargeted, CAPI, rewritten product pages.
After: sales more than doubled on the same store.
Reported ROAS restored from 1.6x to 3.4x
Before: iOS updates cratered reported ROAS. Panic cuts followed.
Fix: Conversion API, server-side tagging, enhanced conversions.
After: reporting matched bank reality, and the winning campaigns got their budgets back.
Coupon bug was wiping baskets
Before: checkout reloading on coupon errors and emptying carts.
Fix: found in session recordings, fixed in a week, checkout friction pass completed.
After: recovered revenue covered the engagement in month one.
The difference isn’t effort. It’s understanding how shoppers actually buy.
What e-commerce clients say
“After iOS I was making budget calls off numbers I didn’t believe. CAPI and the reconciled reporting gave me ground to stand on. We’ve doubled spend since, profitably.”
Priya L.
Founder, Skincare E-commerce
“I’d boosted posts for two years because it felt like doing marketing. The structured rebuild made the same monthly spend produce actual purchase volume. I wish I’d seen the difference sooner.”
Tom W.
Founder, Outdoor Gear DTC, Bristol
“Shifting creative to our highest-AOV bundles lifted revenue per session immediately. Same traffic, bigger baskets. Obvious in hindsight, invisible for three years.”
Victor H.
E-commerce Manager, Beauty Brand, Dublin
“The coupon bug they found had probably cost us five figures. One week of their audit beat a year of our own guessing. The retainer was an easy decision after that.”
Lucia C.
E-commerce Director, Fashion Retail, Madrid
“The abandoned checkout sequence runs while I sleep and recovers orders every single night. It’s the closest thing to free money in our whole stack.”
Andre M.
CMO, Supplements DTC, Amsterdam
“Every report reconciles to Shopify revenue, not platform-claimed conversions. My co-founder stopped asking whether the marketing numbers were real. That peace is underrated.”
Farah K.
Co-founder, Homeware Brand, Dubai
The services that move e-commerce revenue
E-commerce growth usually combines paid social and Shopping, conversion optimisation, and rebuilt analytics, so ROAS is trustworthy and every campaign scales on real economics.
The platforms we integrate with your store
We work directly inside your own Shopify, Meta, and Google Ads accounts, so every campaign, pixel, and order record stays yours.
Shopify and DTC brands that want ROAS they can trust and profitable scale, and stores that suspect broken tracking or a leaky checkout is capping every campaign they run.
Common questions.
Possibly not. iOS privacy changes broke pixel-based tracking, so many stores saw reported ROAS collapse while real sales held. Conversion API and server-side tracking typically restore 20 to 30% of lost signal. Fix measurement first; only then can you judge the ads.
Depends on margin, AOV, and repeat rate. A 3x ROAS can be unprofitable on thin margins and a 2x can be excellent with strong LTV. We calculate your break-even ROAS from your actual unit economics in the audit, then set targets above it. Chasing a generic benchmark is how stores scale losses.
Yes. Boosting buys engagement reach with none of the structure that drives purchases: no funnel-stage audiences, no exclusions, no creative testing, no purchase optimization. Structured campaigns on the same budget consistently outperform, as our US case (+138% sales) shows.
Yes, Shopify is our most common e-commerce platform, alongside WooCommerce and custom stacks. Tracking, feed, and checkout work all integrate natively. Your store, pixel, and data remain in your accounts throughout.
Usually both, weighted by your data. Shopping captures buyers searching for what you sell; Meta creates demand and recovers abandoners. The split depends on your category’s search volume and creative strength. The audit recommends a starting ratio from your numbers, then performance reallocates it.
Meta needs roughly £500 to £1,000 a month minimum for the algorithm to learn purchase behavior; Shopping can start leaner in niche categories. Below those lines, we’ll usually recommend fixing conversion and retention first, which makes every future ad pound work harder.
Ready to fix what’s costing you conversions?
We’ll review your acquisition funnel, show you exactly what’s underperforming, and hand you a clear, prioritised plan, whether or not you choose to work with us.
Get a clear diagnosis of your acquisition performance.
- 30-minute review
- Free, with no obligation
- Clear findings and priorities
- You keep the findings
30 minutes · Free · No obligation · You keep the findings