Your ROAS looks great. Your bank account disagrees. Here's the problem.
This is the most common trap for SME owners running their own ads. The ROAS number in Google Ads looks like 4.5x. Meta shows 3.8x. But after COGS, shipping, returns, and payment fees, you're barely breaking even. The platforms are showing you revenue metrics, not profit metrics — and every platform uses a different window to claim credit. One documented case: an eCommerce owner running at 4.5 ROAS discovered they were generating £1,200 profit on £22,000 revenue. ROAS was a lie.
Solved by ROAS Attribution — Stop trusting platform-reported ROAS. Get the real number.
What ROAS Attribution does
Every major ad platform is built to claim maximum credit for your conversions. Meta's 7-day click + 1-day view window, Google's data-driven model, and TikTok's broad attribution settings result in the same purchase being counted across two or three platforms simultaneously. ROAS Attribution gives you a single, consistent attribution model across all channels — so the ROAS you see in Alpomi is the one that matches your actual revenue, not inflated platform numbers.
- Cross-channel attribution with configurable lookback windows
- De-duplicated conversion counting across all platforms
- True ROAS vs platform-reported ROAS comparison
- Blended ROAS (MER) calculation — total revenue ÷ total spend
- Attribution model transparency — see exactly how credit is assigned
- Shopify order reconciliation for e-commerce
Why teams look for a ROAS Attribution solution
The real operational pain that drives people to Alpomi
Platform ROAS measures revenue, not what you actually keep
Google and Meta both claim the same conversion — your real conversion count is half what they show
The 'learning phase' burns budget without giving you reliable data to act on
Blended ROAS (total revenue ÷ total spend) is a much better signal but hard to calculate manually
What you get when you use ROAS Attribution
Real outcomes from teams using this feature in production
Stop wasting budget on overstated ROAS
Platform ROAS is typically 40–70% overstated vs actual business performance. Now you optimise on the real number.
One attribution model across all platforms
No more spreadsheet reconciliation between Google and Meta reports
ROAS that matches your actual revenue
Blended ROAS calculated from actual spend and actual sales — not platform estimates
ROAS that matches your Shopify P&L
De-duplicated, iOS-resilient attribution using your actual order data
True channel contribution
See exactly which platform drove each sale — not self-reported over-attribution
Profitable scaling decisions
The brands that scaled into BFCM profitably had verified attribution first — not platform estimates
Before Alpomi vs After Alpomi
From pain to clarity with ROAS Attribution
Before
Check Google: 4.2 ROAS. Check Meta: 3.8 ROAS. Calculate blended in a spreadsheet. Get a different number every time. Make a budget call based on the platform number that looks best.
With Alpomi
Check Alpomi: true blended ROAS of 2.1. See platform-reported vs actual side by side. Know exactly which channel is over-claiming. Make budget decisions on the real number.
Before
Scale the campaign with the best-looking ROAS. Profit doesn't move. Wonder why.
With Alpomi
Scale the campaign with the best true ROAS. Profit moves. Keep scaling.
Built for your segment
See how ROAS Attribution solves problems specific to your business type
For growing businesses
4.5 ROAS but barely breaking even — here's why
Platform ROAS counts revenue, not profit. And every platform over-reports because they use their own attribution window. ROAS Attribution gives you one consistent number that actually reflects what your ad spend is returning.
- Stop optimising on ROAS that's 40–70% overstated
- See blended ROAS (MER) — the number that matches your bank account
- Make budget decisions on data you can trust
For DTC brands
Meta and Google are both claiming credit for the same sale
When a customer clicks a TikTok ad, then a Meta retargeting ad, then a Google Shopping ad before buying — all three platforms log a full conversion. Your combined attributed revenue can be 2–3x your actual Shopify revenue. Attribution fixes this.
- De-duplicated conversion counting — each sale counted once
- iOS14-resilient attribution using Shopify order data
- One ROAS figure that matches what Shopify reports
Get started in three steps
Connect your platforms and Shopify
Link Google Ads, Meta, TikTok, and your Shopify store. We pull spend, conversion, and order data from all sources.
We apply a consistent attribution model
One lookback window, one attribution logic across all platforms. Conversions are de-duplicated so each sale is counted once.
See true ROAS vs platform-reported ROAS
Side-by-side comparison shows you exactly how much each platform is over-claiming. Your decisions are based on the real number.
Frequently asked questions
- How does Alpomi handle attribution post-iOS14?
- We use your Shopify order data as the ground truth and reconcile it against platform-reported conversions. This gives you iOS-resilient attribution that doesn't rely on pixel data that iOS14 degraded.
- What attribution model does Alpomi use?
- We use a configurable cross-channel model with de-duplication. You can adjust lookback windows and see both last-click and data-driven views alongside our unified model.
- Why does my Meta ROAS look so different from my true ROAS?
- Meta's default 7-day click + 1-day view window claims any purchase within 7 days of a click — even if the customer would have bought anyway, or bought because of a different channel. On average, Meta over-reports by ~26%.
Explore related features
These features work alongside ROAS Attribution. See how they fit together.
Ready to see ROAS Attribution in action?
Book a demo and we'll show you how ROAS Attribution connects to your stack and solves your reporting and attribution challenges.
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