Consulting · Signal engineering & pLTV

Align your mobile acquisition with true economic value.

Stop burning budget on uncalibrated vanity metrics. We help mobile app teams turn fragmented user data into a predictable, automated engine for profitable growth.

Forward-deployed, not software. Our engineer-scientists embed with your team and build the data, integrations, reporting and models, so you can focus on building your product, not the ad-tech stack.

Book a discovery call → Request an architecture audit
Cohort value · Day 0 to Day 180 pLTV-optimisedD1-proxy
D0D30D90D180
D180 ROAS, pLTV bidding2.4×
D180 ROAS, D1-proxy bidding0.9×
Illustrative example
The growth bottleneck

Your ad networks are optimising for the wrong users.

Mobile acquisition campaigns are frequently flying blind. Because ad networks typically only see short-term actions, they optimise for users who look active on Day 1 but churn by Day 7.

The result is stalled growth, wasted spend and a failure to acquire high-margin users. PredictUA bridges this gap, advising your team on how to turn raw user behaviour into a scalable acquisition machine.

Bidding on installs

CPI
$1.10
D7 retention
6%
D180 ROAS
0.7×

Bidding on pLTV

CPI
$2.40
D7 retention
19%
D180 ROAS
2.3×

Illustrative example

Our consulting practices

Three practices, one acquisition engine.

From the data you collect, to the signals ad networks see, to the value they bid on.

01

Data Collection & Architecture Audit

Establish a flawless foundation of truth.

Before you can predict revenue, you must accurately capture it. We audit your infrastructure to uncover tracking gaps, revenue leaks and pipeline fractures.

  • Total revenue clarityUnify IAP, subscription and ad revenue into a single source of truth.
  • Compliance & governancePrivacy-compliant tracking with full control over what reaches ad networks.
  • Actionable roadmapsAn architectural blueprint your engineering team can build from.
02

Signal Engineering & Calibration

Train ad networks to hunt for your best users.

Clean data is only valuable if ad networks can bid on it. We design the high-quality, high-density signals acquisition platforms need.

  • Smarter acquisitionEvent taxonomies and conversion mappings that stop paying for empty installs.
  • Attribution remediationFix offline conversion imports and attribution windows.
  • Market-specific calibrationDevice tiering and regional purchasing-power modifiers.
03

Predictive LTV (pLTV) Strategy

Put your profitability on autopilot.

Move beyond short-term ROI targets. We guide models that forecast long-term economic value from early user behaviour.

  • Future-proof profitabilityKnow which new users will retain and spend months from now.
  • Custom economic modellingCalibrated to your retention curves and monetisation, not industry proxies.
  • Value-based bidding integrationConnect predictive scores to the ad platforms so campaigns bid on lifetime value.
How it works

From fragmented app data to value-based bidding.

Every revenue source flows into one source of truth, becomes calibrated signals, and reaches the ad platforms as a predicted lifetime value they can bid on.

Your app data PredictUA Ad platforms App StoreIn-app purchases Google PlayIn-app purchases AdMob · MAXAd revenue MMPAppsFlyer · AdjustAttribution FirebaseIn-app behaviour PredictUA 01Revenue truth Unified user ledger 02Signal layer Calibrated events 03pLTV model D180 value at hour 24 Meta Google Ads TikTok Apple Ads Unity Ads Snapchat
Our approach

Forward-deployed engineer-scientists.

We don't hand over a slide deck and leave. Our forward-deployed engineer-scientists embed directly with your growth and engineering teams and build the system with you, end to end.

Your engineers stay focused on your product. We take on the ad-platform integrations and the ad-tech stack, and every pipeline, dashboard and model stays yours.

Engineering depth + data-science rigour + marketing know-how, in one team.
01 · COLLECT

Data collection

Fix tracking gaps and capture every revenue event: IAP, subscriptions and ad revenue.

02 · INTEGRATE

Data integration

Connect your app, MMP, warehouse and ad platforms into one reliable pipeline.

03 · REPORT

Reporting

Dashboards your UA, finance and leadership teams trust: cohorts, ROAS and payback.

04 · PREDICT

Machine learning

pLTV and incrementality models in production, feeding value-based bidding.

THE OUTCOME

Every marketing decision informed by data

Budget allocation, bidding, creative and channel mix, all grounded in predicted value rather than Day 1 proxies.

The PredictUA advantage

Bid on reality, not proxies.

Built on a first-principles, systems-oriented approach, PredictUA replaces black-box marketing approximations with rigorous empirical standards. We act as an extension of your growth and engineering teams.

First principlesModels calibrated to your retention curves and monetisation, never generic benchmarks.
Systems thinkingData, signals and bidding designed as one engine, not three disconnected projects.
An extension of your teamEmbedded in your growth and engineering teams, building alongside them, with everything handed over to you.
The team

Practitioners from the platforms you buy media from.

Our consultants have built marketing science, measurement and machine learning systems inside the companies that run the auctions, and inside the apps that bid in them.

Where our team has done this before
exGoogle
Global ads platform

Advised top EMEA advertisers on measurement, incrementality and signal engineering.

exMeta
Facebook & Instagram ads

Advised leading EMEA advertisers on measurement, incrementality and signal engineering.

exRappi
Latin America's super-app

Advised on out-of-home, TV and app user acquisition at super-app scale.

exMessageBird
Bird · B2B communications platform

Built full-stack attribution, incrementality and lead scoring for B2B.

Marketing science

Incrementality, value-based bidding and how ad-platform algorithms actually learn from the signals you send them.

Measurement frameworks

Attribution, conversion modelling and revenue tracking designed to hold up under privacy constraints.

Machine learning

Predictive LTV models taken from notebook to production, calibrated to your app's retention and monetisation.

How an engagement works

Your engineers should be building your product, not becoming ad-tech specialists. We don't sell a platform or lock you into a tool: our forward-deployed engineer-scientists work inside your team, and you keep every model, pipeline and dashboard.

Discovery callWe learn your app, your channels and where spend is leaking.
AuditA review of your data collection, signals and attribution setup.
BlueprintA prioritised roadmap for data, signals and models.
Embed & buildOur engineer-scientists join your team to build, ship and scale it.

Ready to align acquisition with profitability?

Start with a discovery call, or have us audit your data infrastructure and signal setup.

Book a discovery call → Request an architecture audit