For consumer and prosumer app teams
A mobile app marketing strategy connecting ASO, paid acquisition, creative testing, onboarding, lifecycle messaging, ratings, and retention in one AI CMO loop.
A future-facing plan with explicit capability boundaries：This page describes the complete operating model Tomako is building toward. Every capability is labeled as either a current foundation or part of the broader product vision; outcomes remain hypotheses until connected data proves them.
An install is only the beginning of the funnel. The commercial system must connect store impression, creative promise, install, first value, trial, subscription, cancellation, rating, and return behavior by source and message.
Tomako should coordinate the growth loop across ASO, paid creative, onboarding, lifecycle, and product feedback. It should not optimize acquisition against an onboarding leak or celebrate a lower CPI while day-30 retention and payback deteriorate.
Most teams already have ideas. Growth stalls because research, decisions, production, distribution, and measurement are split across tools and owners.
The ad or store listing wins the click with one promise, then the first session asks for permissions, setup, or payment before showing that value.
Business cost
High install volume with low activation and expensive churn.
Paid teams discover winning hooks while store and organic surfaces use stale screenshots and generic category language.
Business cost
The same insight is paid for repeatedly across channels.
Teams ignore how source, message, expectation, pricing, education, notification timing, and lifecycle content shape return behavior.
Business cost
Budget scales into cohorts that were never likely to retain.
?Which search term and creative promise create the strongest activation cohort?
?Where does the path break between store view, install, first value, and paid conversion?
?How should ASO, ads, onboarding, and lifecycle share experiment evidence?
?When is a lower CPI actually worse for subscription economics?
The useful unit is not a generated asset. It is a closed loop from context to evidence, approved execution, measurement, and the next decision.
Agree on first value, activation, retained use, trial, paid conversion, cancellation, LTV, and payback by cohort.
Proof of completion
Approved event and cohort dictionary
Connect keyword, store promise, screenshot, ad hook, landing path, and onboarding branch to the same user job.
Proof of completion
Message-to-value journey map
Test store metadata and screenshots, creative, onboarding, paywall, lifecycle, and notification together with explicit variables.
Proof of completion
Cross-surface experiment ledger
Compare source and message cohorts at activation, day 7, day 30, paid conversion, and payback before reallocating spend.
Proof of completion
Approved source and budget decision
Use review, support, churn, and cohort patterns to update positioning, store assets, onboarding, and roadmap priorities.
Proof of completion
Decision record linked to product changes
Tomako combines a persistent business context with specialized execution capabilities. Planned capabilities are shown deliberately so the roadmap does not masquerade as a live feature.
Keep target job, claims, app-store rules, activation definition, pricing, experiment history, and privacy boundaries together.
Deliverables
Monitor keywords, ranking, competitors, reviews, feature changes, screenshots, localization, and category demand.
Deliverables
Generate evidence-led creative matrices and platform-ready variants tied to one promise and onboarding branch.
Deliverables
Recommend source, budget, onboarding, paywall, message, and retention changes from shared cohort evidence with approval.
Deliverables
A useful AI CMO reduces coordination cost while preserving approval, accountability, and recovery. The operator should always know what changed, why, and what happens next.
Daily: detect meaningful changes in store visibility, acquisition efficiency, activation, reviews, retention, and subscription quality.
Weekly: propose one connected experiment with expected behavior at store, onboarding, and retention stages.
Before spend or publish changes: preview budget, geography, audience, assets, dates, and rollback.
After enough cohort time: compare retained value and payback, then record which assumption changed.
Before / After
Illustrative planning window: four cohort cycles
The sequence starts with instrumenting the funnel and proving one motion. Automation expands only after the team can see quality and business impact.
Days 1–30
Exit signal
Source cohorts can be followed from impression through day-30 behavior.
Days 31–60
Exit signal
One sequence improves activation without reducing retention quality.
Days 61–90
Exit signal
The best source-message cohort retains and pays back within an agreed boundary.
Activity counts are diagnostic. The decision layer needs leading indicators, conversion steps, cost, and revenue or pipeline in the same view.
| Metric | Decision it informs | Source | Cadence |
|---|---|---|---|
| Store conversion by keyword | Links discovery intent to listing proof. | App stores | Weekly |
| Activation by source and promise | Finds acquisition-message fit. | Attribution + product events | Daily / weekly cohort |
| Retained-user acquisition cost | Prevents CPI from rewarding low-quality installs. | Media + retention cohorts | Monthly cohort |
| Subscription payback | Sets safe scale limits. | Billing + media | Monthly |
Failure mode
Optimizing CPI before activation and retention
How Tomako should guard it
Make retained-user cost and payback required alongside install efficiency.
Failure mode
Changing store metadata without policy or locale review
How Tomako should guard it
Route claims, screenshots, localization, privacy, and store-policy changes through named approval.
Failure mode
Over-messaging or dark-pattern lifecycle automation
How Tomako should guard it
Respect consent, frequency, channel preference, quiet periods, unsubscribe, and user benefit in every sequence.
There is no single universal metric, but an activated and retained user is a better unit than an install. The scorecard should connect source to activation, day-7/day-30 retention, paid conversion, LTV, and payback.
Paid creative can reveal messages and audiences that improve store assets; ASO can surface intent and proof that improve paid targeting and creative. Both should map to the same onboarding branch and retained-user cohort.
That is part of the broader AI CMO vision, not a universal current claim. Any connected workflow should preview metadata, assets, targeting, geography, budget, dates, and expected impact, then require approval and preserve rollback.
Start with your real context
Share your product, goal, constraints, and connected data. Tomako can organize the first diagnosis and show what should be approved before execution begins.