Attribution
Every order credited
to the ad that earned it.
Not a model of what probably happened. The click, the sessions, the purchase and the identifiers that matched, on every order, with over 98% of Shopify orders tied to a real source on live stores.
Questions this answers
- Which ad earned this order, and how do I know?
- Why does Meta say 6x when the bank says 2x?
- How much revenue lands after the platform stops counting?
- Which orders could not be judged, and why?
The receipt
Open any order. Read the story.
The ad click that started it, every session in between, the moment the email brought them back, the purchase, and a match score with the missing identifier named. Both observations of a sale, the browser’s and the webhook’s, are kept; never one discarded.
- First touch, every session and the converting click, timestamped
- Click ids captured and kept past URL-stripping browsers
- Match quality per order, the missing signal named and priced
- Every order records which identity rung joined it
10d 5h first touch → purchase
₹4,860
Session 1 · Google AdsTRACKED CLICK
landed on a product page
Session 2 · Direct
came back, added to cart
Session 3 · EmailCONVERTED
checkout, purchased
Five models
Last click, first touch, linear, all touches. And what the customer said.
Switch models without re-tagging anything. After every order, one question over WhatsApp or email; the answer becomes a credit model of its own beside the computed four. Assists are shown, and the line that explains the gap with Meta’s number is drawn on the chart.
- Assists and influence, per channel and per campaign
- Click a campaign row for its day-by-day trend
- A short window says it measures timing, not performance
- Customer said as a fifth model, from the post-purchase survey
Revenue
₹0
Attribution coverage
0%
Avg match quality
0/100
Google Ads
Paid search
Meta Ads
Paid social
Owned
Organic search
Earned
Direct
Unknown
Coverage you can defend
98% of orders tied to a source. The other 2% named, not hidden.
Manual, app and marketplace orders are counted and shown apart from web orders, so the coverage number is never diluted by orders that could not carry a browser. Where the identity was lost, the order says which signal was missing and where it was lost.
- Coverage split by where the order was placed
- Four-layer stitching model, every order stamped with the layer that joined it
- Journeys survive a change of checkout provider
- Partial refunds keep the order a sale and the money honest
Third-party pixel
blocked
cdn.some-tracker.com/px.js
First-party path · your own domain
arrives
yourstore.com/a7f2k/collect
Attribution coverage
0%
of orders tied to a real source on live stores
Down to the ad
Channel, campaign, ad set, ad. Spend has full depth; revenue says where it does not.
Every ad id resolves to a name whatever slot it rode in, so the tables read as campaigns rather than numbers. Platform performance is judged on each platform’s own traffic and orders, with manual and draft orders excluded.
- Every ad entity resolved to its name, nightly
- Paid channel groups as a set: Display, YouTube and Demand Gen are Google paid
- gad_source read as a Google click, the network named
- Ad spend synced from Meta and Google, never double-counted
brand search
₹33,480 spent · ₹1,44,720 back
cheapest growth
retargeting · DPA
₹37,350 spent · ₹1,43,460 back
well past the line
magnesium search
₹55,890 spent · ₹1,37,430 back
profitable
pmax · bestsellers
₹1,13,130 spent · ₹2,33,280 back
just above it
prospecting · advantage
₹1,62,180 spent · ₹1,57,320 back
under break-even
generic supplements
₹1,46,610 spent · ₹39,420 back
loses every order
Inside the module
What is inside
Everything on this page is a screen in the product, and every number on it can be checked from another screen.
Order detail
Overview, path to purchase, pages viewed, funnel timing, tag layer, raw attribution captured
Channels and campaigns
Two clean tabs, roles per channel, drill to ad set and ad
Platform performance
Each platform on its own traffic and orders
Conversion lag
How much revenue lands after the platform stops counting
Journey coverage
How many orders carried a journey, and the reason when one did not
Bitespeed, Wati, Interakt, AiSensy
Owned tools credited by name, never as Direct
The ₹4,860 order on the homepage is a real receipt. Open it, and then open one of your own.
The other modules
Growth intelligence
Command Center, Today’s Actions and What We Found: what to do on Monday, priced on your costs.
OpenAnalytics & Insights
Twenty reports on one date window, every one ending in a decision.
OpenAudiences
Segments from behaviour the store records, sized against what Meta can match before they sync.
OpenRecovery
The checkout they abandoned, won back on WhatsApp or email. Counted, never claimed.
OpenSee the receipt behind your next order
Every order credited.Every claim checkable.
Connect the store, install one snippet, and the first order that lands arrives with its ad, its journey and its match score.