Growth for apps people tell each other about.

Consumer apps win on loops: viral, content and retention loops that make paid spend the accelerant instead of the engine. We build the loops and the measurement that proves them.

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Our solutions in consumer apps

The vocabulary is the proof.

If your current agency cannot explain each line below in one breath, that is your answer about them.

K-factor measurement with inviter-attributed events
Referral incentive design and testing
Invite flow conversion optimization
Onboarding personalization experiments
Day 1, 7 and 30 retention cohort programs
Push and email lifecycle from behavioral triggers
Re-engagement campaigns for lapsed cohorts
Deep link journeys that survive install
ASO across category and intent keywords
Custom product pages per audience
Store listing experiments run to resolution
Review prompt timing and rating velocity
Paid UA bid to retained-user value
Creative built on real user moments and UGC
Seasonal and cultural moment planning
Apple Search Ads brand defense
MMP cohorts as the acquisition truth
Attribution windows doctrine on every report
Feature adoption analytics wiring
Locale expansion with per-storefront metadata
Cost per retained user, not cost per install
Incrementality checks on always-on spend

Case studies

Consumer Apps, proven.

Podz: Family Organizer

Podz: 52,873 App Installs in a Month at $0.70 Each

$0.70 Cost per install, best month (from $2.38)52,873 Installs in a single month

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Pet Health App

How We Cut CPI to $1.10 and Drove 4K+ Installs in 30 Days

4000+ Installs in one month$1.10 Cost per install

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Browse every case study →

Questions

Consumer Apps, answered.

When is paid acquisition right for a consumer app?

When a loop already works: retention that holds a cohort and some organic or viral pull worth amplifying. Paid spend on an app that leaks users buys a bigger leak. The audit reads your curves first and says which side of that line you are on.

How do you measure virality?

With inviter-attributed events, so an install caused by a user is credited to that mechanism rather than to whatever channel last touched the invitee. K-factor is then a measured number you can test against.

What does retention work look like in practice?

Cohort curves name where users fall out, onboarding and lifecycle experiments attack the named drop, and every test reports against the same curves. A few points of day-30 retention change the economics of every channel at once.

Can you grow an app without a big ad budget?

The organic set is real work with real ceilings: ASO, referral mechanics, review velocity and store experiments. We will tell you what that set can and cannot do for your category before anyone spends on media.

How do we start?

The free 30-minute consult: a live review of your store presence, loops and measurement, ending in the ranked levers. No pitch until you see the value.

Teams we've helped grow

Clients include 3M, Jiffy Lube, Goodwill, Western University, Hino Motors, Lundin Mining, Extendicare, Calian, Wabtec, ARGO, and ZAPI GROUP.