YOUR LOCAL DIGITAL MARKETING AGENCY
- +91 95607 71744
- enquiry@rightadvertise.com
- follow us
Anyone can buy downloads. We build the whole funnel – store listing, paid acquisition, onboarding, engagement and re-engagement – so the users you pay for actually open the app a second time and are still there in month three.
Web marketing ends at a page you control. App marketing runs through two storefronts you do not own, an install step that costs you a chunk of every prospect, and a home screen where your icon competes with eighty others for a tap.
That changes what matters. A campaign that delivers cheap installs from users who never open the app again is worse than no campaign – you paid for the download and inherited the churn. So we optimise to activation and retention, not to install volume, and we build the store listing and onboarding that decide whether an install turns into a user at all.
Most app budgets are spent optimising the first stage while users leak out of the other four. Every step here is measurable, and every step is fixable.
The creative and audience that earns the tap in the first place.
Your icon, screenshots and first three lines decide who installs.
Download size, permissions and signup friction all cost users here.
The first session where they reach the thing your app is actually for.
Coming back on day seven, day thirty and beyond. This is the business.
Positioning, target audience, channel mix and the single growth metric everything is measured against. Written before a rupee of media spend.
Keyword, icon, screenshot and description work on both stores – the cheapest install source you have.
Google App Campaigns, Meta, Apple Search Ads and TikTok, bid to install quality rather than raw volume.
Video and playable ad creative, tested continuously – creative fatigue is the main reason app campaigns decay.
Reducing the distance between install and first value. The highest-leverage work in app growth and the most ignored.
Push, in-app messaging and lifecycle campaigns that bring people back without becoming the reason they uninstall.
MMP setup, event tracking and cohort reporting, so you know which channel produced users who stayed.
Store search sends a steady stream of users who cost nothing per install. The two stores rank differently, so ASO is two jobs, not one – and a listing that converts badly makes every paid campaign more expensive too.
Each network has a different strength and a different failure mode. We start on one or two, prove the economics, then expand – rather than spreading a small budget across five and learning nothing from any of them.
Reach across Search, Play, YouTube and the Display network from one campaign. Heavily automated, so the levers that matter are your assets, your conversion events and your bid target.
Instagram and Facebook placements with the strongest interest and lookalike targeting available. Creative fatigue is fast here, so the production pipeline has to keep up.
Buying the top slot on App Store search results. High intent, high install rate, and the closest thing to bottom-of-funnel in app marketing.
Native short-form video with genuine organic spillover. Strong for consumer apps with a visual hook and a younger audience.
Specialist app DSPs for scale and re-engagement, with strict placement and fraud controls – this is where install fraud lives.
Creator partnerships and in-app referral loops. Slower to set up, and the cheapest source of retained users when it works.
A channel can deliver the cheapest installs on the dashboard and the worst users in the business. Without attribution wired properly you will keep funding it, because the only number you can see says it is winning.
We set up your measurement partner, define the events that actually signal value, and report by cohort – so every channel is judged on the users still there thirty days later, not on the download count.
Retention curves flatten early. Whatever share of users you still have on day thirty is close to what you keep long term – so almost all the leverage sits in the first seven days.
Onboarding stripped to the shortest possible path to the thing they downloaded the app for. Every extra screen costs users.
A reason to open it again, delivered by push or email at a time that suits them. Day 1 retention is the single strongest early signal.
Repeat use of the core feature. If it has not become a habit by now, it usually never will.
Still active, and now worth measuring lifetime value against what you paid to acquire them.
Push is the fastest way to bring a lapsed user back and the fastest way to get uninstalled. The difference is whether the message is about something they care about or something you want.
Measurement before media, listing before scale, activation before budget. Skipping the order is how app budgets get spent without anyone learning anything.
We pull your store listings, existing campaigns, analytics and retention curves. What does an install cost today, what share activate, and where exactly does the funnel leak? Nothing is proposed before that picture exists.
Attribution partner configured, in-app events defined, and the conversion signals your ad platforms optimise against wired correctly. Running paid campaigns before this is buying blind.
ASO on both stores – keywords, icon, screenshots, description. This lifts organic installs and makes every paid click cheaper at the same time, so it comes before scaling spend.
One or two channels, small budget, multiple creative angles. We are looking for a channel and creative pair that produces users who come back, not the lowest cost per install.
Whatever the funnel showed as the biggest leak between install and first value gets addressed with your product team before we pour more budget in.
Budget moves to what produced retained users. Lifecycle messaging, re-engagement and creative refresh run continuously, because app campaigns decay faster than any other channel.
Acquisition cost measured against real lifetime value, so you know what you can pay for a user rather than guessing at a cost per install target.
A well-optimised listing keeps delivering organic downloads at no media cost, and it compounds as ratings and volume build.
Retention work compounds. Every point of day-30 retention makes every future campaign more affordable.
Cohort reporting ends the argument about which channel deserves the budget. The data answers it.
Once someone installs, you can reach them without paying a platform for the privilege every time.
Funnel and event data show exactly where users give up, which is the most useful roadmap input your product team will get.
What a good cost per install looks like depends entirely on what a user is worth and how long they stay. These categories behave very differently.
High intent, measurable revenue per user. Catalogue and dynamic retargeting do the heavy lifting, and cart abandonment is the obvious re-engagement trigger.
Expensive users, strict ad policies and a long verification funnel. Activation – actually completing signup – is usually the biggest leak.
Brutal competition and habit-driven retention. First order incentives and delivery reliability decide whether anyone comes back.
Strong seasonal peaks and famously steep drop-off. Onboarding and streak mechanics matter more than acquisition volume.
Long consideration, trial-led. Lifetime value only makes sense across a full course cycle, so early cohort data misleads.
Creative-led and fatigue-prone. Playables and video dominate, and the entire model rests on early retention curves.
Infrequent use, high value per transaction. Re-engagement across long gaps is the whole challenge.
Low volume, high value. Store search matters less; the app usually supports a sales-led motion rather than driving it.
Subscription economics, where trial-to-paid conversion and churn dominate every other number.
Install volume is the easiest number to inflate and the easiest to sell against. It is also the number least connected to whether your app succeeds.
Install fraud is endemic in app advertising. Placement blocklists, anomaly checks and MMP fraud tooling are set up before spend starts, not after a suspicious invoice.
Ad accounts, store consoles and attribution dashboards stay in your name. You keep the historical data and the learnings if you ever move on.
We report cost per retained user alongside cost per install, and we will tell you when a channel is producing installs that are worth nothing.
Most app growth problems are activation problems. We will bring you funnel evidence rather than quietly spending more to compensate.
App creative fatigues in weeks. A production cadence is built into the retainer instead of being an afterthought when performance drops.
The person who audits your funnel is the one running your campaigns and writing your reports.
Let us help you get your business online and grow it with passion
Share your requirements and our team will get back to you with the best solution for your business.
Tailored to your business goa
Reliable process, clear communication.
We're here when you need us.
Tailored to your business goa
Reliable process, clear communication.
We're here when you need us.
Tailored to your business goa
Reliable process, clear communication.
We're here when you need us.
We’d love to hear from you!
It depends entirely on your category, your platform and your target market. Gaming installs in India cost a fraction of fintech installs in the UK. The number that matters is not cost per install but cost per retained user measured against lifetime value – and we work that out with you before setting any budget target.
We can forecast ranges once we have run a test period, and we will not commit to a figure before that. Anyone guaranteeing installs upfront is usually either buying incentivised traffic – users paid to install who never return – or quoting a number they have no basis for.
App Store Optimization is search optimisation inside the App Store and Google Play rather than on Google. The principles rhyme but the levers differ: title, subtitle, keyword field, icon, screenshots, ratings and retention all feed app store ranking. The two stores also rank differently, so it is genuinely two pieces of work.
Yes, and it is the one thing we insist on. Without a measurement partner and properly defined in-app events you cannot tell which channel produced users worth having, and the ad platforms cannot optimise towards anything meaningful. Running spend first and fixing measurement later wastes the budget and the learning.
That is an activation and retention problem, and it is the most common one we see. More budget makes it worse. We map the funnel from install to first value, find where users drop, and work with your product team on onboarding and lifecycle messaging before recommending any increase in spend.
Yes – video, static and playable formats. This matters more in app marketing than anywhere else, because creative fatigues within weeks on the major networks. A campaign that worked in month one usually decays by month two without a fresh batch, so production runs continuously rather than as a one-off.
ASO changes can move organic installs within four to six weeks, since store ranking responds relatively quickly. Paid campaigns produce installs immediately but need roughly four to eight weeks before the cohort data is trustworthy enough to optimise on. Retention improvements are slowest to read, because you have to wait out the cohort.
Fraudulent installs come from bots, click injection and attribution hijacking – you pay for downloads that were never real users, or that would have happened anyway. We use MMP fraud detection, placement blocklists and anomaly monitoring from the start, and we challenge suspicious traffic with the networks rather than absorbing it.
Yes, and it is a good time to start. Store listing, keyword research, measurement setup and a soft-launch test in a smaller market can all happen before the full launch – which means launch day begins with a listing that converts rather than a placeholder.
Both, and we treat them separately. The stores rank differently, the ad ecosystems differ, and iOS attribution has been materially harder since app tracking changes – which affects how campaigns are structured and what can honestly be measured. We will be clear about those limits rather than reporting numbers that only look precise.
Send us your app and we will audit the whole funnel – store listing, acquisition, activation and retention – then tell you plainly where the users are leaking and what to fix first. Free, no obligation, and the findings are yours either way.
The businesses that win aren’t just found – they’re found first. We make that happen, from local search to your entire digital presence.
