Funnel drop-offs
Where sessions fall out between PDP, cart and checkout — by device.
Funnel
Demo Lab · concept build
Shopify revenue leak dashboard for founders and operators
A demo build that turns scattered analytics into one operator view — where the funnel drops, which pages are slow, where tracking is broken, and which products quietly underperform.
Demo LabThis is a concept / prototype build — illustrative architecture, not a guaranteed result or a named client.
Illustrative architecture
Shopify API
Server events
Stored snapshots
Operator dashboard
Weekly alert
Illustrative architecture — concept build, not a client system.
01 — The blind spot
Stores lose revenue they never see.
A revenue leak is demand you already earned — a returning customer, a paid click, an intent-to-buy visitor — that drains away before it becomes an order. Nothing errors out; conversion is simply a few points lower than it should be, spread across a dozen small failures.
The problem is visibility. The signals live in different tools: GA4 for funnels, the theme for speed, the app stack for bloat, Shopify for product performance. A dashboard pulls them into one place so the next fix is obvious instead of guessed.
02 — What it surfaces
The leaks worth watching.
Slow product pages
PDPs whose load time correlates with lower conversion.
Performance
Broken tracking
Double-fired events, missing purchases and inflated ROAS flagged early.
Tracking
Underperforming products
High-traffic, low-conversion products that deserve attention.
Catalogue
App bloat
Scripts and weight added by overlapping apps, tied to page speed.
App stack
03 — Architecture
Where the data comes from.
Built around first-party data you can trust, not a vendor's default report.
- 01Shopify Admin GraphQL API
- Orders, products and customers for conversion and catalogue views.
- 02Product analytics
- PostHog or GA4 for funnel and session behaviour.
- 03Server-side events
- Reliable purchase and event capture that survives ad blockers.
- 04Stored snapshots
- Supabase/Postgres for trends over time, not just a live snapshot.
04 — Who it's for & scope
Who this is for.
Best for stores already generating revenue, usually CHF 30k+/month, where decisions are guessed because the numbers live in five tools. Typical scope: a focused dashboard build, cautiously CHF 4,000–12,000+ depending on data sources and alerts.
Founders & operators
Anyone who needs one trustworthy view instead of switching between GA4, Shopify and the app stack.
Audience
Alerts & weekly reports
Optional alerts on tracking breaks or conversion drops, plus a weekly email digest.
Cadence
Built on your data
First-party Shopify plus server-side events, stored for trends — not a vendor's default report.
Data
05 — What we would measure
Instrumented from day one.
We don't promise numbers we haven't earned. These are the metrics we'd wire up so the build's value is measured, not assumed.
Funnel drop-off by step and device — where sessions fall out between PDP, cart and checkout.
Tracking confidence — double-fired or missing events that distort every other number.
App-stack risk — scripts and weight added by overlapping apps, tied to page speed.
Slow-PDP count — product pages whose load time correlates with lower conversion.
Product conversion — high-traffic, low-converting products worth attention.
Weekly alert volume — how often something actually needs a human to look.
FAQ
Questions about this build.
No — it's a demo / concept build illustrating the architecture. Your dashboard would be built around your store's data and the decisions your team actually makes.
Build something like this.
We'll scope a version tailored to your store from a short audit — architecture, integrations and edge cases included.