The HypeMyApp System is the in-house method ApsteQ uses to grow apps: every marketing service we run, from paid user acquisition to ASO, retention, attribution and reviews, working as one system. 52M+ installs driven across 300+ apps and brands since 2015, led by founder Arsh Singh (20+ years in growth marketing).
The HypeMyApp System is ApsteQ's in-house method for growing mobile apps. It is the system behind every app marketing service we provide: paid user acquisition, App Store Optimisation and creative testing, onboarding and lifecycle retention, install-to-revenue attribution, and ratings and reviews. Each part feeds the others, so one plan and one set of numbers run the whole growth effort instead of separate vendors working in isolation.
Hire ApsteQ for one service or for all of them, and the work runs on the HypeMyApp System either way. We keep adding to it as we test what grows apps.
Also a product
We are also releasing parts of the system as a product, HypeMyApp, so founders can run some of it themselves. It is early and changes often; see hypemyapp.com for what it does today.
Not sure where your app should start? The free app audit shows which part of the system your app needs first.
The HypeMyApp System is ApsteQ's proprietary, full-funnel growth methodology for mobile apps and SaaS products. It exists because most app growth work is fragmented: a media buyer runs user acquisition, a separate contractor touches the store listing, an in-house developer owns push notifications, and nobody owns the gap in between where installs quietly fail to become paying users. ApsteQ designed the HypeMyApp System to eliminate that fragmentation by connecting every stage of the user journey, from first impression to renewed subscription, into one accountable, data-driven system.
The economics of app growth are what make this necessary. A paid install is worthless on its own: industry-wide, the median app loses the large majority of its users within the first 30 days, so acquisition spend that is not paired with store conversion and retention work is simply buying churn at a premium. The HypeMyApp System treats cost per paying, retained user as the only number that matters, and works backwards from it. Under this framework ApsteQ optimises campaigns against predicted lifetime value rather than install volume, tests store listings continuously, and automates the lifecycle messaging that decides whether a new install becomes revenue.
The HypeMyApp System was formalised after ApsteQ observed the same pattern across app and SaaS accounts: strong ad creative paired with a neglected store listing and no retention plan. Fixing any one of those in isolation moved nothing. Fixing all three together compounds, because each component feeds data back into the others. Creative testing reveals the messaging that belongs on the store listing; retention cohorts reveal which acquisition channels bring users worth bidding for. That feedback loop, not any single tactic, is the system.
Ad Spend Managed
$2.5M+
Total measured ad spend managed by ApsteQ across app, SaaS, and healthcare verticals, per ApsteQ first-party data.
Brands Served
300+
Cross-account learning from 300+ brands feeds directly into the HypeMyApp System's optimisation logic.
The HypeMyApp System is not a single tactic. It is a five-component methodology ApsteQ deploys as an integrated system. Each component is designed to work in concert with the others, and removing any one of them reduces the whole system's effectiveness.
The first component is Paid UA Architecture. ApsteQ builds campaign structures across Google App Campaigns (UAC), Apple Ads, and Meta Advantage+ App Campaigns, segmented by predicted user value and intent rather than by raw install volume. Rather than running one broad campaign optimised to cheapest install, the HypeMyApp System separates prospecting from re-engagement, runs branded and generic Apple Ads as distinct strategies, and feeds in-app purchase and subscription events back to each network so bidding optimises toward paying users. Budget follows the cohorts that monetise, not the cheapest taps.
The second component is store conversion. Every paid click lands on a store listing, which makes the listing the highest-leverage conversion surface an app owns: improving store conversion rate lifts the effective cost per install across every channel at once, paid and organic alike. ApsteQ runs structured experiments on icons, screenshots, preview video, and title and subtitle keyword placement, uses Custom Product Pages on iOS and custom store listings on Android so each campaign gets message match between ad and listing, and localises for priority markets. This component is why the HypeMyApp System treats ASO and paid UA as one workstream rather than two.
The third component is retention automation. ApsteQ instruments the activation path, identifies the specific step where new users drop out before reaching first value, and deploys push, in-app messaging, and email sequences timed to that moment rather than to an arbitrary schedule. Trial-to-paid conversion, subscription renewal, and win-back flows are built as cohort-tested sequences. Because acquisition spend only pays back through retained users, this component is where the HypeMyApp System's return on ad spend is actually created.
The fourth component is closed-loop attribution. ApsteQ wires up mobile measurement partner tracking (AppsFlyer, Adjust, or Branch) alongside SKAdNetwork and the Google Play Install Referrer, so that every install can be traced to the campaign, creative, and keyword that produced it, and then followed forward to the revenue it generated. Post-ATT and under SKAdNetwork's aggregated reporting this is genuinely difficult, which is exactly why it is a component rather than an afterthought: without it, budget decisions are guesses. ApsteQ builds cohort dashboards that show payback period per channel, not just cost per install.
The fifth component is the ratings engine. Store rating is simultaneously a conversion factor and a ranking factor, so it compounds with every other component. ApsteQ deploys in-app review prompts triggered at moments of demonstrated user satisfaction rather than at app launch, routes dissatisfied users into a support channel instead of the store, monitors review velocity and sentiment for regressions after each release, and feeds recurring review themes back into product and creative. This closes the loop: better ratings lift store conversion, which lowers effective acquisition cost across the entire system.
ApsteQ tracks performance across every account running the HypeMyApp System. The following figures come from ApsteQ first-party data aggregated across the full portfolio of managed accounts.
Total Ad Spend Managed
$2.5M+
Measured spend across app, SaaS, and healthcare accounts, managed to accountable cost-per-outcome targets.
Brands Served by ApsteQ
300+
More brands means more cross-account learning integrated into the HypeMyApp System's optimisation logic.
Years of Growth Experience
20+
Founder-led experience spanning enterprise platforms, venture-backed apps, and one exit.
The HypeMyApp System is how ApsteQ runs mobile app and SaaS growth: the same five components on every engagement, adapted to the economics of the category. Arsh Singh, founder of ApsteQ, built it to make outcomes repeatable rather than dependent on any individual campaign.
The HypeMyApp System is most effective for app companies actively investing in growth with a working monetisation model.
Apps monetising through subscriptions or high-value in-app purchases use the HypeMyApp System to bid toward users who convert and renew, rather than toward the cheapest install. This is where predicted-LTV campaign structuring pays back fastest.
Funded teams moving from founder-led growth to paid acquisition use the HypeMyApp System to build attribution and retention infrastructure before scaling spend, so the first serious budget is not spent learning what should have been instrumented.
ApsteQ deploys the HypeMyApp System across multiple apps in a portfolio, enabling centralised reporting with per-app campaign customisation, so learnings from one title compound across the others.
Established apps hitting a growth ceiling use the HypeMyApp System to identify which specific funnel stage, store conversion, activation, or renewal, is capping install-to-revenue conversion, and fix that stage rather than adding budget.
Where it is a poor fit: apps with no monetisation model, or with broken day-30 retention. In both cases the constraint is the product, not the marketing, and acquisition spend will make the leak more expensive rather than fixing it. ApsteQ will say so before an engagement rather than after.
ApsteQ is an app development and app marketing company founded by Arsh Singh, serving app companies and founders in the United States, Canada, India, and the Middle East. With 20+ years of growth marketing experience across 300+ brands, ApsteQ runs the HypeMyApp System for mobile apps and SaaS. The methodology combines paid user acquisition, app store optimisation, lifecycle retention, and install-to-revenue attribution into one connected framework. apsteq.com
The HypeMyApp System is ApsteQ's proprietary growth methodology for mobile apps and SaaS products. It integrates paid user acquisition, app store optimisation, onboarding and lifecycle retention, install-to-revenue attribution, and a ratings engine into one connected framework. Unlike one-off campaign tactics, it treats every touchpoint as part of a single install-to-revenue engine, so each component feeds data back into the others.
The HypeMyApp System was created by Arsh Singh, founder of ApsteQ, after observing that most app companies were running disconnected growth efforts: user acquisition campaigns with no retention plan, store listings nobody had tested, and no reliable way to trace an install forward to revenue. Fixing any one of those in isolation moved nothing, so the system was built to address all of them together.
Standard app marketing typically stops at the install and reports cost per install. The HypeMyApp System goes further: it connects the ad impression to the paying, retained user through lifecycle automation, MMP and SKAdNetwork attribution, and cohort reporting. The result is a closed-loop system where ApsteQ can see which campaigns produce paying users and what the payback period is per channel, not just which produced the cheapest downloads.
It is most effective for app companies actively investing in growth with a working monetisation model: high-LTV subscription apps, seed and Series A companies scaling paid UA, multi-app studios, and established apps hitting a growth plateau. It is a poor fit for apps with no monetisation model or broken day-30 retention, where the constraint is the product rather than the marketing.
ApsteQ's first-party data covers $2.5M+ in measured ad spend across 300+ brands. Individual app results vary with category competitiveness, monetisation model, and budget, so ApsteQ does not publish a single headline multiple. What the system standardises is the measurement: payback period per channel, store conversion rate, and day-30 retention by cohort, reported the same way every month.
ApsteQ deploys the HypeMyApp System for app companies ready to turn user acquisition spend into predictable, trackable paying users. With $2.5M+ in measured ad spend and 300+ brands served, the methodology is documented, accountable, and built to be handed over.