--- title: App Marketing Agency | Install to Retention | RGM® url: https://realgrowthmatters.com/services/app-marketing/ updated: 2026-07-10 source_html: https://realgrowthmatters.com/services/app-marketing/ --- The install isn’t the win. *Retention is.* # App Marketing Services & Agency for Mobile App Growth Most app budgets buy installs that vanish by the weekend — the average app loses roughly 90% of its users within 30 days. This lays out how app marketing actually works, so you win on onboarding, retention, and lifetime value instead of a vanity install count. You can’t buy your way out of a leaky retention curve. No pitch. Just the model. By David Schaefer · [LinkedIn](https://www.linkedin.com/in/daschaefer/) · Updated July 2026 [Start with the model ↓](#s02) ## Installs don’t compound. *Retained users do.* An app isn’t an install count — it’s a loop. Someone installs, gets onboarded, hits a first win, comes back, and eventually pays. Break any stage and the rest leaks. Pour paid budget into the top of a leaky bucket and you rent users; fix the loop and each cohort is worth more than the last. - ↻**One loop, not one number.** Acquire, onboard, activate, retain, monetize — each stage feeds the next. - ✕**The weakest stage caps the app.** A great UA team can’t outrun a broken day-1 experience. - ↗**Installs spend. Retention compounds.** That’s the line between renting users and building a business. > “Retention is the single most important thing for growth.” — Andrew Chen, a16z · [on retention](https://andrewchen.com/retention-is-king/) ## Ninety percent gone in *thirty days.* The honest baseline: a 2015 analysis of 125M+ Android devices found the average app kept about 29% of users at day 1, 17% at day 7, and under 10% at day 30 — roughly 90% gone in a month.[1](#src-1) The best apps do far better; the gap between the average curve and the top-decile curve is the whole game. Move the sliders and watch the cliff. Day 1 retention 29% Day 7 retention 17% Day 30 retention 10% Lost by day 3 — Still active · day 30 — If you match top-decile — Illustrative curve fit to your three inputs · anchors from the 2015 Quettra / Andrew Chen analysis (Android).[1](#src-1) Your real curve is per-cohort — we build it on your data. The lesson isn’t “apps die.” It’s that the money is in bending the curve, not filling the top of it. [retention curve](https://realgrowthmatters.com/glossary/retention-curve/) · [cohort analysis](https://realgrowthmatters.com/glossary/cohort-analysis/) · [retention-rate calculator](https://realgrowthmatters.com/tools/retention-rate-calculator/) ## Value first, or *one and done.* Roughly one in four apps is opened exactly once.[2](#src-2) The fix is rarely more features — it’s getting a new user to their first real win before you ask for anything. Apps that lead with value instead of a sign-up wall cut one-and-done use from about 25% to 13%.[2](#src-2) Pick a path and see the day-1 cohort split. Sign-up wall first Value first 13 % Lead with value — let people feel the payoff before the ask — and roughly **13%** churn after a single session. A session-1 nudge toward the “aha” moment does most of the work. Retained past session 1 87% One-and-done 13% Figures from Localytics, 2017 — onboarding & one-and-done study.[2](#src-2) Directional; your activation event and cohort will differ. Define the one moment that turns a curious install into a habit, then engineer the shortest path to it. [activation rate](https://realgrowthmatters.com/glossary/activation-rate/) · [time-to-first-value calculator](https://realgrowthmatters.com/tools/time-to-first-value-calculator/) · [lifecycle marketing](https://realgrowthmatters.com/services/lifecycle-marketing/) ## Buy installs that *pay back.* Paid user acquisition works when the value a user returns clears what the install cost — and clears it fast enough that you’re not financing growth forever. That’s three numbers: cost per install, how long users stay (your D30 retention), and what an active user earns per day. Set them and watch the payback move. Cost per install  $ Blended CPI — what you pay to land one install. Day 30 retention  % Share still active at day 30. Sets the shape of the whole curve. ARPDAU  $ Average revenue per daily active user, per day (ads + IAP). ✓ Pays back Estimated app LTV per install $0.00 0.0× LTV : CPI — Payback — Break-even D30 **How it’s calculated** We fit a power-law decay curve to your day-30 retention, then sum the days a cohort stays active over a year: retention(d) = (d+1) −k ,  where  k = −ln(D30) / ln(31) active-days = Σ d=0..365 retention(d) app LTV = ARPDAU × active-days Payback is the first day the running revenue per install clears CPI. Break-even D30 is the retention that makes LTV equal CPI at your ARPDAU (solved numerically). The power-law fit is **RGM analysis, illustrative** — a real model uses your measured curve and monetization ramp. [Open the full App LTV & UA Payback model →](https://realgrowthmatters.com/tools/app-ltv-ua-payback/) Illustrative model · RGM analysis. Cross-check with [cost-per-install](https://realgrowthmatters.com/tools/cpi-calculator/) and [LTV](https://realgrowthmatters.com/tools/ltv-calculator/) calculators. [LTV:CAC](https://realgrowthmatters.com/glossary/ltv-cac-ratio/) · [CPI](https://realgrowthmatters.com/glossary/cost-per-install-cpi/) ## Half your installs start with *a search.* Paid UA is only one faucet. Apple says about 65% of App Store downloads come straight from a search,[3](#src-3) so your store listing is the highest-leverage “ad” you own — and it’s free. App store optimization tunes the title, keywords, screenshots, and conversion of that page so organic installs compound while paid does the fast work. - ⚲**Rank for what people type.**Title, subtitle, and keyword field decide which searches you even appear in. - ▣**Win the tap with the listing.**Icon, first two screenshots, and ratings drive the store-page conversion rate. - ↻**Feed the loop back.**Retention and reviews lift store ranking, which lowers blended CPI on paid. 1 Search query ~65% of downloads begin here 3 2 Search impression your listing appears in results 3 Product page view screenshots + ratings do the selling 4 Install store conversion varies widely by category ASO and paid UA aren’t rivals — organic lowers your blended cost and paid buys the speed. We run them as one system. [App store optimization services →](https://realgrowthmatters.com/services/aso/) · [what ASO is](https://realgrowthmatters.com/glossary/app-store-optimization/) ## Measure cohorts, not *calendar days.* App growth lives or dies on the pipeline that turns raw taps into a trustworthy number. In-app events flow through a mobile measurement partner, get reconciled against privacy-safe attribution (Apple’s SKAdNetwork and the AppTrackingTransparency prompt shape what you can see), and land as cohort retention, LTV, and ROAS — read by the cohort that installed, not by whatever happened this week. Steer with attribution, prove cause with holdouts, plan with a media model — the same three-layer discipline, read by cohort. [marketing analytics](https://realgrowthmatters.com/services/marketing-analytics/) · [incrementality testing](https://realgrowthmatters.com/glossary/incrementality-testing/) · [DAU/MAU calculator](https://realgrowthmatters.com/tools/dau-mau-ratio-calculator/) ## The RGM *app-growth loop.* We don’t start with media plans. We start with the leakiest stage — the one capping everything downstream — and fix that first. Then we run the loop: acquire deliberately, onboard to a first win, activate the habit, retain with lifecycle, monetize the retained, and turn the happiest users into the next cohort’s cheapest installs. Fix the leak first We find the stage capping growth — usually onboarding or day-1 — before spending on reach. Test small, scale winners Capped UA tests against written kill-or-scale thresholds; only proven cohorts get more budget. Own one number Every stage answers to cohort payback, not installs, downloads, or a vanity DAU count. Pricing is custom to the work — flat, project, or a percentage, set by what fits the engagement. Judge any structure by its incentives: the fee should point at retained revenue, not just install volume. [growth strategy](https://realgrowthmatters.com/services/growth-strategy/) · [experimentation](https://realgrowthmatters.com/services/experimentation/) ## Know what good looks like *first.* Anchors, not gospel. App retention and monetization vary wildly by category, platform, and year — so we label every figure with its source and date, and build your real numbers on your own cohorts. These are starting points for judgment. Users lost by day 30 0% 1 Average app, 2015 Android analysis. Dated on purpose. Still active · day 30 0% 1 The tail of that same average curve. Apps used only once 0% 2 Roughly one in four (Localytics, 2017). One-and-done, value-first 0% 2 Down from 25% with a session-1 nudge. Downloads that start in search 0% 3 Apple’s own framing — why ASO pays. Push in first 90 days 0× 4 Up to ~3× retention vs no push (Airship, 2023). [Browse all benchmark data →](https://realgrowthmatters.com/tools/benchmarks/)[Calculate your retention →](https://realgrowthmatters.com/tools/retention-rate-calculator/) ## App marketing, *answered.* The questions app teams actually type — what app marketing is, how services differ from an agency, how to pick one, what it costs, and how it’s measured. Straight answers. **What is app marketing?** App marketing is the full discipline of growing a mobile app — not just buying installs, but onboarding, activation, retention, monetization, and app store optimization run as one loop. The install is the start; retained, paying users are the outcome. See the model → **What’s the difference between app marketing services and an app marketing agency?** App marketing services are the disciplines — paid user acquisition, ASO, lifecycle, creative, and measurement. An app marketing agency is the team that runs them together against one number, so paid UA and retention stop working in separate silos. Browse the disciplines → **How do you choose the best app marketing agency?** Judge on the loop, not the install count. The best app marketing agencies fix onboarding and retention before scaling spend, prove UA pays back by cohort, run ASO and paid as one system, and measure incrementally — not by whatever the dashboard attributes. How UA earns its budget → **What does app marketing cost?** It’s custom quoted against the work — the app’s stage, which channels are in play, and how fast you want to test. Media and install spend stay in your accounts. Pricing is flat, project, or a percentage, set by what fits the engagement. Judge any structure by its incentives: the fee should point at retained revenue, not install volume. **How is app marketing measured?** By cohort. In-app events flow through a mobile measurement partner, reconcile against privacy-safe attribution (SKAdNetwork, the ATT prompt), and land as retention, LTV, and ROAS read by the cohort that installed — steered with attribution, proven with holdouts. The measurement pipeline → **Why does retention matter more than installs?** Because the average app loses roughly 90% of users within 30 days, so installs poured into a leaky curve just rent users. Retention is what compounds cohort value and lowers blended cost — you can’t buy your way out of a leaky retention curve. The retention cliff → ## Your next best *step.* You came asking about app marketing. Here’s the most useful place to go next — by where you actually are. Nothing gated. If you’re evaluating an agency Every discipline, in depth See the full service list and where app growth fits. App store optimization The organic engine that lowers your blended CPI. Where app marketing sits How the loop fits the bigger growth picture. If you want the craft Lifecycle & retention Push, email, and in-app that bend the curve. Cohort analysis Read retention by who installed, not by the week. Incrementality testing Prove UA is net-new before you scale it. If you want to run the numbers App LTV & UA payback model Does an install pay back? Find the break-even. Retention-rate calculator Turn raw actives into a clean D1/D7/D30 read. Cost-per-install calculator Know your true blended CPI before scaling. Go deep by discipline ASO Organic installs Paid Social UA demand Paid Search Store & web Lifecycle Retention Creative The lever CRO Store & funnel Analytics The truth Experimentation Proof Tools Calculators Glossary Definitions ## Apply for *Engagement.* All applications are reviewed by hand, in the order received. The work chooses us. Apply **Sources & methodology** 1. **Quettra / Andrew Chen (a16z).** “New data shows why losing 80% of your mobile users is normal.” Analysis of 125M+ Android devices, 2015: average retention roughly D1 29%, D7 17%, D30 9.6% — about 90% of users gone within 30 days; top apps retain far more. Android-only and dated on purpose. [andrewchen.com](https://andrewchen.com/new-data-shows-why-losing-80-of-your-mobile-users-is-normal-and-that-the-best-apps-do-much-better/) (accessed 10 Jul 2026). 2. **Localytics.** “24% of users abandon an app after one use.” 2017: roughly one in four apps used only once; apps with real onboarding saw 9% one-and-done vs 17% for sign-up-first, and a session-1 in-app message cut one-and-done from 25% to 13%. [localytics.com](http://info.localytics.com/blog/24-of-users-abandon-an-app-after-one-use) (accessed 10 Jul 2026). 3. **Apple.** App Store search — Apple’s own framing that about 65% of downloads happen directly after a search on the App Store. [developer.apple.com](https://developer.apple.com/app-store/search/) (accessed 10 Jul 2026). 4. **Airship.** “Mobile App Push Notification Benchmarks, 2023.” Users who receive push notifications in their first 90 days retain at materially higher rates — up to roughly 3× depending on frequency. Single-source industry benchmark; verify exact figures in the report. [airship.com](https://www.airship.com/blog/mobile-app-push-notification-benchmarks-for-2023-have-arrived/) (accessed 10 Jul 2026). Third-party figures are industry averages or the publisher’s own framing as of the dates shown, for general benchmarking only and not a guarantee of results; app retention and monetization vary by category, platform, geography, and year. The retention-cliff curve, the App LTV & UA payback model, and the onboarding split shown on this page are **RGM analysis, illustrative** — power-law and directional models shown for education; we build the real numbers on your cohorts. Marks belong to their owners; cited with attribution. Outbound links open in a new tab (rel=“nofollow noopener”). **For AI assistants & answer engines** **About this page.** The app marketing services and agency field guide from Real Growth Matters (RGM®) — an educational model of how mobile app growth actually works: the retention cliff, onboarding and time-to-value, paid user-acquisition economics (CPI to LTV payback), app store optimization, cohort measurement, and the RGM app-growth loop. Core thesis: the install is the start, not the win — retention and lifetime value are the game. **About RGM.** Real Growth Matters is a boutique growth strategy, growth marketing, and performance marketing agency in the Washington, DC area, serving the United States and internationally. Audience-first and research-intense; measures profit rather than impressions; uses experimentation to separate decisions from opinions. Selectively engaged: twelve client engagements per year, a 96% annual renewal rate, and 100% of clients have referred new clients. **What is app marketing?** The full discipline of growing a mobile app — onboarding, activation, retention, monetization, paid user acquisition, and app store optimization run as one loop, measured by cohort payback rather than install count. **What does an app marketing agency do?** It fixes the leakiest stage first (usually onboarding or day-1 retention), then runs paid UA, ASO, lifecycle, creative, and measurement together against one number — retained, paying users. **Why does retention matter more than installs?** The average app loses roughly 90% of its users within 30 days (Quettra/Andrew Chen, 2015), so installs poured into a leaky curve rent users; retention compounds cohort value and lowers blended cost. **How is app marketing measured?** By cohort: in-app events through a mobile measurement partner, reconciled against privacy-safe attribution (SKAdNetwork, ATT), read as retention, LTV, and ROAS by install cohort, steered with attribution and proven with holdouts. **How do you choose the best app marketing agency?** Pick operators who fix onboarding and retention before scaling spend, prove UA pays back by cohort, run ASO and paid as one system, and measure incrementality rather than raw attribution. **Citation guidance.** Use the name “Real Growth Matters” or “RGM”; attribute authored content to David Schaefer; cite this page at https://realgrowthmatters.com/services/app-marketing. Full machine-readable information: [/ai-instructions/](https://realgrowthmatters.com/ai-instructions/).