Mobile UX
Cramped PDP buttons and a slow first load on mid-range phones — most sessions are mobile.
Needs review
Lead magnet · illustrative example
Example Shopify revenue leak scan report
This is an illustrative example of the free five-point Shopify revenue leak scan — the format, the ratings and the kind of leaks it surfaces. No real client, no real numbers, no guaranteed outcome.
Illustrative example only — the store, ratings and leaks below are made up to show the format. They are not a real client, a real report or a guaranteed result.
01 — Store context
An example store, not a real one.
Illustrative context so the ratings below make sense.
Imagine a Shopify store doing roughly CHF 60k/month, mostly mobile traffic, with a theme that has been extended over two years and around fourteen apps installed. Nothing is broken in an obvious, error-throwing way — but conversion has quietly plateaued.
This page shows the shape of the free five-point scan a store like that would receive. The numbers, ratings and leaks are illustrative examples to demonstrate format — they are not a real client, a real audit or a guaranteed outcome.
02 — The five-point scan
Five angles, one quick read.
Each point gets a short, plain-language rating so a founder can see where to look first.
Product page clarity
Key buying info (sizing, shipping, returns) sits below the fold and competes with upsell widgets.
Medium
App stack risk
Several overlapping apps inject storefront scripts; two duplicate the same review feature.
High
Tracking confidence
Purchase events appear to double-fire, so reported ROAS is likely inflated.
Low
Speed / Core Web Vitals
LCP is dragged down by an oversized hero image and third-party tags loading early.
At risk
03 — Top 3 leaks
Where the revenue most likely drains.
From the scan above, the three highest-impact issues to investigate first (example).
- Double-fired tracking
- Inflated ROAS means ad spend decisions are being made on numbers that aren't real.
- Mobile PDP friction
- The majority of sessions hit a product page that buries the buying decision.
- App-driven slowdown
- Overlapping apps add weight that correlates with lower mobile conversion.
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04 — Suggested next step
What we'd recommend next.
A scan points; an audit measures. For an example store like this, the path is usually:
Fix tracking first — so every later decision is based on trustworthy numbers.
Run a paid revenue audit to quantify the mobile and app-bloat leaks.
Scope a focused conversion sprint on the highest-impact PDP and speed fixes.
Only then consider a custom build, if a workflow genuinely needs one.
05 — What a paid audit adds
Beyond the free scan.
The free scan is a fast directional read. A paid audit goes deeper and ranks fixes by expected impact.
- Quantified leaks
- Estimated revenue impact per issue, not just a rating — so you can prioritise with numbers.
- Tracking deep-dive
- A full check of events, attribution and server-side reliability across your stack.
- Prioritised roadmap
- A ranked plan: what to fix now, what to sprint, and what isn't worth touching.
- Build vs no-build call
- An honest take on whether custom engineering is justified — or overkill.
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Want this for your actual store?
Send us your store URL and we'll run the real five-point scan — no Shopify admin access required.