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Solutions · Apps & subscriptions

Your MMP, Firebase and Google Ads all tell different stories. We reconcile them.

Built for app & subscription businesses spending $50k+/mo on ads, where ATT, SKAN, and fragmented postbacks make “which number is real?” a weekly argument.

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ATT / SKAN visibility loss

After ATT and SKAN, Google Ads often sees a thinner conversion picture than your MMP or backend. Bidding learns from a partial signal, and performance “drops” that are really visibility drops.

VEOtool answer

VEOtool reconciles Ads against MMP and backend truth so you can tell measurement loss from real demand loss. Diagnosis flags when Smart Bidding is optimizing on a fraction of purchases.

Anonymized finding

Purchase visibility case: Google Ads saw only 28% of real purchases vs backend. Smart Bidding was optimizing on 28% of reality.

Product pillars →

Install ↔ purchase attribution gaps

Installs look healthy in AppsFlyer while Google Ads CPA looks broken, or the reverse. Multi-touch paths and postbacks disagree, so growth and finance argue over different “truths.”

VEOtool answer

Reconciliation and Journey Intelligence line up install, sign-in, and purchase events across sources. You see where credit breaks, and which number leadership should trust for spend decisions.

Anonymized finding

Multi-touch case: 39% of purchasing users touched more than one paid or organic path before buy. Single-source Ads CPA understated contribution and overstated waste on assisted paths.

Product pillars →

Post-purchase uninstalls

Ads celebrates the purchase. Product sees uninstalls days later. Without the middle of the journey, you scale campaigns that buy short-lived users.

VEOtool answer

User Journey Intelligence surfaces installs, sign-ins, purchases, and uninstalls between click and retention. Monitoring alerts when uninstall or drop-off patterns worsen after a campaign change.

What you get

A path view from ad click → install → purchase → uninstall, plus prioritized fixes when measurement or creative drives short-lived revenue.

Product pillars →
Journey

What the journey looks like for an app

Sources (google / meta / direct) → Install → Sign-up → Purchase → Uninstall, with the drop-offs and overlaps Ads alone never shows.

Acquisition flow
Live cohort · last 30 days
Analyzing paths
1
Traffic sources
google / cpc · meta / paid · direct
2
Install
MMP install cohort
5.1k
3
Sign-up
Account created
1.9k
4
Purchase
Revenue outcome
386
5
Uninstall
Post-purchase churn
92
Drop-off hotspots
Where install → sign-up → purchase stalls
Source overlap (multi-touch)
Paths Ads CPA never credits fully
Post-purchase uninstalls
Short-lived revenue after the buy
Setup service

We set up the plumbing too

Missing the foundations? We install and verify them: GA4 + BigQuery export, AppsFlyer configuration, conversion tracking & postbacks, event mapping. Done-for-you on Enterprise, guided review on Pro.

  • GA4 + BigQuery export

    Event-level paths for journey intelligence and reconciliation against Ads.

  • AppsFlyer configuration

    Install and in-app events aligned so MMP and Ads stop telling different stories.

  • Conversion tracking & postbacks

    Primary actions cleaned up so Smart Bidding isn’t learning from clutter.

  • Event mapping

    Install, sign-up, purchase, and uninstall mapped to the same business truth.

Apply for concierge setup →See pricing

Stop arguing over which dashboard is right

Start a trial, explore the live demo, or compare plans, then connect Ads, GA4/BigQuery, and AppsFlyer.

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