// subscriptionsFoundationGrowthBrandScale
// TIER 02 · parallel Apple + Play · monthly AI discovery

Run discovery, conversion and recommendation work in parallel.

For apps at 100K–300K monthly downloads. Enough traffic for experiments to resolve. Parallel Apple and Play workstreams, a continuous test queue, and AI discovery tracked monthly instead of sampled.

// 100K–300K monthly downloads

// monthly investment
₹1,99,999/ month
Showing 🇮🇳 INR · 1 USD = ₹100
Inherits

Everything in Foundation — plus the 31 lines below.

Pause or scale anytime30 days' noticeNo lock-in
02
Tier
parallel Apple + Play · monthly AI discovery
31
Lines of scope
Published before the pitch
7
Operating groups
Grouped so depth is legible
1
Team
No handoffs
// who this fits

For apps with:

  • 100K–300K monthly downloads
  • Both stores live with real paid UA feeding conversion
  • Product moving fast enough to need a metadata partner, not a project
  • AI Discovery matters — assistants and store AI surfaces already influence installs
  • Ready for a continuous experiment queue instead of one-off tests
// when to graduate

Signals you've outgrown this tier:

  • 300K+ monthly downloads or expanding to a second priority region
  • Category authority — cited-source and comparison work — is now the constraint
  • Multiple apps sharing a growth team
// what runs · 31 lines

The scope, without the agency slide-deck theatre.

Inherited
Everything in Foundation — plus the 31 lines below.
Experimentation
  • Product Page Optimisation plan per Apple test — predeclared MDE, sample and duration
  • Store Listing Experiment plan per Play test with locale-level control
  • Experiment readout with exposure health, guardrails and 'inconclusive' as a permitted outcome
  • Continuous creative experiment queue — never fewer than two tests in flight
  • Confound log tracking campaign, product, season and featuring against every test
  • Optional-stopping discipline — the planned rule is followed, not the tempting one
Custom pages and intent routing
  • Custom Product Page matrix mapped to paid and organic intent sources
  • Custom Store Listing matrix for Play, by market and audience
  • Intent-to-page routing so each promise lands on a matching storefront
  • Variant-level conversion reporting per routed source
Deeper metadata and creative
  • Two QA'd metadata releases per store per month
  • Screenshot narrative testing across device classes and orientations
  • Preview-video brief with poster frame, licensing and localisation plan
  • Icon test brief with single-variable discipline and brand-recognition guardrail
Review intelligence
  • Advanced review intelligence — versioned theme tracking and severity ladder
  • Capability-evidence ledger linking review themes to shipped fixes
  • Release-regression loop so live updates cannot quietly damage ratings
AI Discovery programme (monthly waves)
  • Monthly prompt-panel waves on frozen panels, repeated for trend
  • Citation ledger — every assistant citation logged by surface, mode and locale
  • AI-discovery gap analysis: where competitors are cited and you are not
  • Share of Recommendation tracked over time with volatility bands
  • Capability-evidence content briefs written to close the cited-source gaps
  • Each assistant surface measured separately — they do not share sources
Content and web-to-app
  • Structured-data implementation and validation
  • Comparison-page brief for high-intent category queries
  • Third-party evidence tracker
  • Web-to-app discovery and deep-link continuity
Measurement and cadence
  • Integrated measurement across store, product and revenue
  • Activation-aware weekly backlog
  • Weekly operating update, monthly report, quarterly leadership readout
  • Bi-weekly operating call
// six operating chapters

The same six chapters run every month — only the intensity changes.

CH-01
Keyword strategy
Corpus, difficulty map, category positioning. Both stores, primary market forward.
2–3 locales
CH-02
Metadata engineering
Title, subtitle, keyword field, short/long description. Change-log tied to observed rank movement.
Biweekly ship
CH-03
Store conversion & creative
Screenshots, icon, preview video. One active A/B lane at Foundation; CPP fan-out at Growth and above.
CPPs by intent
CH-04
Reviews & ratings
Response cadence installed, sentiment themes surfaced monthly, escalation loop back to product.
Localised cadence
CH-05
AI Discovery
Share of Recommendation on tracked prompts, AI-tag alignment, metadata engineered for machine extraction.
Tracked panel
CH-06
Paid orchestration
Apple Search Ads, Google App Campaigns and channel-mix advisory joined to the organic listing.
Advisory
// one team runs all six chapters · no add-on tax between them
// the 90-day wave

How Growth operates.

Phase 01
Days 0–14
Diagnose

Full audit against Foundation baseline + experiment-readiness check. Test queue seeded.

Phase 02
Days 15–45
Ship wave 1

Two metadata releases per store. First PPO / SLE tests live. CPP matrix mapped to intent sources.

Phase 03
Days 46–75
Read + expand

Experiment readouts with predeclared MDEs. Monthly prompt-panel waves recorded. Confounds logged.

Phase 04
Days 76–90
Compound

Roadmap for next 90 across store + AI-discovery gaps. Capability-evidence briefs shipped.

// What this displaces
// vs. hiring in-house

Growth displaces an ASO Manager plus part-time creative, copy and analytics support. For most funded mobile-first companies, this is where the operating-system math is cleanest.

Full loaded-CTC math, benchmark salaries by market and eight-currency comparison tables live on the role-displacement pages.

See full math →
// questions worth asking

FAQ.

How many experiments run in parallel?+
Never fewer than two tests in flight, with predeclared MDE, sample and duration. Optional-stopping discipline: the planned rule is followed, not the tempting one.
Does Growth include advertising?+
Advertising is operated by the same team under Essentials contracts, priced separately per platform. Growth focuses on the store operating system and the AI discovery layer around it.
Weekly vs monthly cadence?+
Growth runs on monthly waves with bi-weekly operating calls. If you genuinely need weekly cadence and causal measurement, Brand is the correct tier.
Team access?+
Direct working-channel access to the senior operator — no account-manager buffer, no ticket queue.
// start with a diagnosis

Growth begins with an audit, not a contract.

We audit your listing across the operating system and return a written diagnosis before any commitment. Work performed and evidence produced — nothing about rank or citation is promised.