Define the ad signal
Tell Zoruko which purchase, subscription, refund, or trial events should train Meta and TikTok. The audit starts from the signal your campaigns need.
Turnyourcode
Zoruko audits the ad signal path in your app code, finds broken attribution and purchase events, and ships reviewable PRs that help Meta and TikTok learn from real conversion truth.
Run signal scanYour app code should teach ad platforms the right events.
Founders do not need another dashboard to interpret. They need code-backed proof for installs, purchases, renewals, refunds, and interrupted checkouts.
Trace the code path
Zoruko reads the app code behind your funnel and follows SDK init, identity, checkout, billing acknowledgement, recovery, and server events.
Ship the Ad-Ready fix
Every signal repair arrives as code you can inspect, test, and merge. You keep the repository, tokens, and final decision.
Start with the signal path your ads need, not another SDK checklist.
Zoruko turns ad signal intent into code-level checks: which event should teach ads, where conversion truth is created, and what needs to change before traffic scales.
Trace signal pathFounder scanAd-Ready path
Live72
Signal score
One blocker is starving purchase optimization.
Install identityLinked
Purchase eventBlocked
Billing proofFound
Recovery queueDraft PR
One workflow for the signal paths that train ad platforms.
The scan adapts to the revenue path in front of it, then ranks what blocks paid learning first.
Mobile purchase funnels
Catch missing purchase events, early fires, cold-start queues, and SDK setup gaps before paid traffic compounds bad learning.
Subscription signals
Separate trial starts, renewals, cancellations, refunds, and store acknowledgement so ad platforms learn from the right events.
Marketplace conversions
Keep buyer, seller, checkout, and payout events deduped and attributable across native, web, and server surfaces.
Server-side attribution
Install an app-owned event path so purchase value, refunds, and recovery evidence are not trapped in black-box provider screens.
Client campaign launches
Show what was broken, what changed, and why the PR makes ad learning safer before the next budget increase.
Web-to-app checkout
Trace web-to-app attribution, CAPI routing, and payment callbacks before launch traffic starts training on partial data.
Real signal breaks that block ad learning.
These are the attribution and event-path failures Zoruko is designed to catch and turn into reviewable fixes.
The purchase event break
A campaign was optimizing on installs because purchases were queued after users closed the app. The first PR moved purchase truth behind billing acknowledgement and added recovery for interrupted checkouts.
The subscription signal gap
The app had a clean paywall but no durable trial-to-renewal chain. Zoruko mapped the missing identity handoff, then drafted the event ledger the founder could review with their developer.
The server attribution mismatch
Client reports showed revenue, but Meta saw inconsistent value and currency. The fix connected server confirmation to the same event id so every stakeholder could inspect one proof trail.
Founder questions.
Do I need a technical cofounder to use this?add
No. Zoruko explains the signal issue in plain language and ships fixes as pull requests. A developer can review the diff, but you do not need to diagnose attribution paths yourself.
Does Zoruko need my ad account?add
No. The audit happens in your codebase. Zoruko does not need Meta, TikTok, RevenueCat, or ad account credentials to find broken event paths.
Will this replace my analytics stack?add
No. Zoruko makes the app-owned signal layer reliable so analytics, billing tools, and ad platforms receive cleaner evidence.
What happens after the first scan?add
You get ranked signal findings and can ask Zoruko to turn the actionable fixes into reviewable PRs. Nothing merges without your approval.