For Consumer Apps & Services

Acquire Users Profitably & Predictably

Lifesight helps subscription, on‑demand, and marketplace apps leverage privacy-safe customer data, measure incrementality, and optimize spend across the funnel-without guesswork.

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Acquire users profitably & predictably
New Balance - Lifesight
Subway - Lifesight
Dyson - Lifesight
Costa Coffee - Lifesight
Ray Ban - Lifesight
KFC - Lifesight
San Miguel - Lifesight
Decathlon - Lifesight
Sunglass hut - Lifesight
Krispy Kreme - Lifesight
Goodr - Lifesight
Shopback - Lifesight
Seidensticker
Segugio - Lifesight
Mavriq - Lifesight
Hedley Bennett - Lifesight
Euromaster 1 - Lifesight
Nurture Life
Much Better Adventures - Lifesight
British American Tobacco
KTM - Lifesight
Mango 1 - Lifesight
Mango - Lifesight
Spendless - Lifesight
Ponos - Lifesight
Pretty Fit - Lifesight
Eu yan Sang - Lifesight
Grohe - Lifesight
Guardian - Lifesight
Castrol - Lifesight
Harvey Beef - Lifesight
Sealy - Lifesight
OsborneHomes - Lifesight
IKEA - Lifesight
Scorewarrior - Lifesight
Bath Body Works - Lifesight
BetterBrand - Lifesight
- Lifesight

Why App Teams Choose Lifesight

How you can stop wasting spend on non-incremental user acquisition and stalling your growth

Lower CAC & higher ROAS

By shifting budget toward incremental channels and tactics.

Increase trial‑to‑paid conversion

With geo-testing grounded in causal lift.

Reduce churn & drive higher LTV

Through predictive LTV scoring and drive customer value

Confident channel mix decisions

With MMM calibrated by geo‑lift experiments.

Ditch outdated mobile measurement

Across SKAN, web, and server‑side events-no user‑level cookies required.

Unified Measurement Designed For Apps

Unified Data Model for Consumer Apps & Services

Bring together ad spend, app events, web, CRM, and billing/subscription data to form a single unified data truth for measurement

Unified Data Model for Consumer Apps & Services
Spend on User Acquisition With Confidence - Lifesight

Spend on User Acquisition With Confidence

Geo and audience experiments, MMM, and calibrated attribution in one suite -so you can trust what actually drives incremental revenue.

Agile MMM Designed for Apps

Modern marketing mix modeling tuned for subscription and marketplace dynamics (lags, saturation, seasonality), refreshed fast and calibrated with experiments.

Agile MMM Designed for Apps - Lifesight
Ditch Your Mobile Measurement Platform - Lifesight

Ditch Your Mobile Measurement Platform

Upgrade your measurement stack with incrementality-based unified measurement, built for a post‑IDFA world.

Proven App Measurement

Playbooks

Proven App Measurement Playbooks

LTV‑Based Budgeting & Bidding

Allocate dollars to the next best channel by incremental LTV, not last‑click ROAS.
 Impact: 10–25% lower CAC; 5–15% higher iROAS.

Test free trial length, pricing tiers, and intro offers using holdouts or geo‑lift.
 Impact: 5–20% lift in Trial→Paid; 3–8% ARPU increase.

Score churn risk; trigger in‑app nudges, CRM sequences, or personalized offers.
 Impact: 10–30% reduction in month‑1 churn; 5–12% net retention lift.

Quantify cannibalization; cap retargeting and move budget up‑funnel where it’s truly incremental.
 Impact: 10–20% more new‑to‑file subscribers.

Run creative arms‑tests per placement (IG Reels vs Feed, UAC formats, CTV).
 Impact: 5–12% thumb‑stop gains; 8–18% CPA reduction at parity spend.

How it works

Connect

Securely connect ad platforms, MMP/SKAN, App/Server events, billing/subscription, CRM, web analytics to build a single source of truth

Measure

Run geo‑lift and holdout tests; deploy MMM; calibrate platform reporting to incrementality. Surface Incremental ROAS and marginal returns.

Optimize

Rebalance budgets by marginal iLTV; ship paywall and lifecycle experiments with built‑in guardrails.

Frequently asked questions

MMPs and platforms show correlation. Lifesight quantifies incremental impact with geo‑lift, holdouts, and calibrated MMM-so budget goes to what truly moves net new revenue.

Yes. We size tests with power analysis, aggregate by geo/time, and focus on high‑impact questions (e.g., channel or paywall). When tests aren’t feasible, MMM + prior lift benchmarks guide decisions.

No. Data activation is native (CAPI, SKAN, audiences), and always‑on calibration runs in the background. Your team keeps shipping; we keep separating signal from noise.

We ingest SKAN postbacks, server‑side events, and subscription data, then use experiments and MMM to model causality-no user‑level IDs required.

 We align to revenue (not proxy events), publish Incremental ROAS and marginal return curves, and document decisions-so marketing and finance share one number.

Data unification and first insights land in weeks; first lift reads in a standard sprint. Many customers achieve quick wins by correcting over‑credited spend.

Yes-propensity segments and churn scores sync to ad platforms and CRM for prospecting, win‑back, and upgrade journeys.