How to Build a 30-Day Post-Launch Paid UA Playbook

Most apps don't die from bad ideas. They die from the two weeks after launch — when founders run a burst campaign, blow half their budget on untargeted installs, and have no idea what the numbers mean. Then the money's gone and so is the momentum.

This playbook fixes that. It breaks the first 30 days of paid app user acquisition into four distinct phases, tells you what to spend at each phase, which channels to run, and — critically — what signals tell you it's safe to scale versus time to pull back.

It assumes you have a working attribution setup (AppsFlyer, Adjust, or Branch) before day one. If you don't, stop reading and set that up first. Running paid UA without attribution is burning cash in the dark.

Phase 1 (Days 1–7): Calibration, Not Scale

Your only job this week is to generate enough data to make decisions. Not to hit an install target. Not to go viral. Data.

Budget: Allocate roughly 15–20% of your monthly UA budget here. If your total month-one budget is $10,000, that's $1,500–$2,000 for this phase.

Channels to run:

Channel	Goal	Bid Strategy
Apple Search Ads (Exact Match)	Capture high-intent brand + category terms	Target CPA, conservative
Meta Advantage+ App Campaigns	Broad audience signal gathering	Lowest cost
Google App Campaigns	Volume baseline	Target CPI

Run 3–4 creative variants per channel — minimum. Don't run one ad and declare it a test. You need variation across hooks, formats (video vs. static), and value props.

What to measure:

Install-to-registration rate. If this is below approximately 40%, your onboarding is the bottleneck, not your ads.
Day 1 retention. Benchmark: typically 25–35% for consumer apps. If you're below 20%, scaling spend will only accelerate churn.
Cost per install (CPI) by channel and creative. Don't average across channels — that number is meaningless. You need channel-level data.

Don't touch budgets mid-week. Let the algorithms learn. The worst thing you can do in week one is panic-optimize every 48 hours.

Phase 2 (Days 8–14): Cut the Losers, Feed the Winners

You have real data now. Time to act on it.

Budget: 25–30% of monthly budget. Start consolidating spend into what's working.

By day 8, you should be able to answer:

Which channel has the lowest CPI without sacrificing install quality?
Which creative variant is driving the highest install-to-registration rate?
Is your Day 3 retention trending above or below your Day 1 baseline?

The cut rule: Any creative with a CPI more than 2× your best-performing variant gets paused. No exceptions, no sentiment. The ad you love is irrelevant — the data decides.

The feed rule: Take the budget from paused creatives and add it to your top performer. Increase winning ad set budgets by no more than 20–30% at a time. Larger jumps reset the algorithm's learning phase and you lose days of optimization.

This is also when you add TikTok if your target demo skews under 30. TikTok's App Campaign product has matured significantly. Don't launch TikTok on day one — you won't have benchmark CPI data to compare against. Now you do.

Running paid UA without a clear channel strategy is one of the most common mistakes we see in post-launch campaigns. Our mobile app marketing team has built structured UA frameworks for apps across healthcare, fitness, and marketplace categories.

Phase 3 (Days 15–21): Scale with Discipline

This is the phase where most teams make mistakes in the other direction — they see early wins and pour money in before the funnel is proven end-to-end.

Budget: 35–40% of monthly budget.

Before scaling, confirm these three things:

LTV signal exists. You don't need a complete LTV curve, but you need Day 7 retention and at least some in-app event data (purchases, subscriptions started, or whatever your monetization event is).
Attribution is clean. Pull a cohort report. If you're seeing installs attributed to "organic" that spike on days you ran heavy paid, your attribution window is misconfigured. Fix it before you scale, or you'll misread every future report.
Creative pipeline is loaded. You'll need fresh creative going into week 4. Brief it now, not then.

Scaling moves to make this week:

Expand Apple Search Ads to broad match on your best-performing exact terms. This opens up volume while your exact match campaigns stay efficient.
Push Meta campaigns into lookalike audiences built from your registered users (not just installs — registered users are a better signal quality).
If Google App Campaigns are performing, increase the target CPI slightly (5–10%) to unlock more inventory without tanking efficiency.

We've covered creative rotation strategy in depth in our post on building a 12-week creative testing pipeline for app install ads — the framework there applies directly to this phase.

Phase 4 (Days 22–30): Evaluate, Document, Plan Month 2

The last week is about closing the loop, not hunting for last-minute installs.

Budget: Remaining 10–15%. Hold some back as a reserve — you may need to kill a channel that went sideways or double down on a breakout.

The end-of-month audit checklist:

Channel-level CPI vs. your pre-launch benchmark (if you had one) or industry estimates for your category
Install-to-registration conversion rate per channel
Day 1, Day 7, Day 14 retention by acquisition channel
Revenue or in-app event completion rate by acquisition channel
Creative fatigue signals (CTR dropping on ads that were strong in week 2)

The document that matters most: A channel scorecard. Not a dashboard — a written, shareable document that records what you ran, what it cost, what it returned, and what you'd do differently. In our engagements, teams that skip this step repeat the same first-month mistakes in month two.

For a broader picture of how this fits into a full-year growth model, the 2026 mobile user acquisition strategy post lays out the channel mix and budget allocation thinking that informs this kind of playbook at scale.

Budget Allocation Summary

Phase	Days	% of Monthly Budget	Primary Goal
Calibration	1–7	15–20%	CPI and retention baselines
Optimization	8–14	25–30%	Cut losers, scale winners
Scale	15–21	35–40%	Expand volume on proven channels
Audit	22–30	10–15%	Close the loop, plan month 2

What "Good" Looks Like at Day 30

There's no universal benchmark that applies across categories, but here's what a healthy month-one paid UA campaign looks like in practice:

CPI is trending down from week 1 to week 4, not up. Rising CPI with flat creative usually means audience saturation — you're running out of new people to show the ad to.
At least one channel has a clear signal worth investing in through month two. Not three channels that "kind of worked" — one that demonstrably works.
Retention curves are stable. Your week 2 cohort shouldn't look significantly worse than your week 1 cohort. If it does, something in the funnel changed — a bad creative drove unqualified installs, or a product bug hurt activation.
Attribution is trustworthy. You can explain where every meaningful install came from. If you can't, month two will be guesswork.

A month-one UA campaign isn't supposed to make you profitable. It's supposed to teach you your unit economics so you can make rational decisions about how aggressively to invest in month two through twelve.

FAQ

How much should I spend on paid UA in the first month after launch?

It depends on your category and margin structure, but a common starting point in our engagements is $5,000–$15,000 for month one — enough to generate statistically meaningful data without committing to channels you haven't validated yet. Consumer apps with subscription monetization typically need more data volume to see cohort patterns, so budgets lean higher.

Which channel should I start with if I have a very limited budget?

Apple Search Ads Exact Match first. You're capturing people already searching for apps like yours — intent is pre-qualified. Meta and Google App Campaigns require more budget and time to optimize. ASA Exact Match can return usable signal with as little as $500–$1,000 if your keyword selection is tight.

Do I need a mobile measurement partner (MMP) before I start?

Yes, without exception. Running paid UA without an MMP like AppsFlyer, Adjust, or Branch means you can't accurately attribute installs to channels, which means you can't make optimization decisions. App Store Connect and ad platform dashboards will both overclaim installs. An MMP deduplicates and gives you a single source of truth.

What's the most common mistake teams make in the first 30 days?

Scaling too early. Most teams see a good CPI in week one and push budget up hard before they have Day 7 retention data. CPI without retention is a meaningless number — you could have the cheapest installs in the world and still be destroying capital if those users churn by day three.

Should I run paid UA on Android and iOS simultaneously?

If your budget allows it, yes — but track them separately. CPI, retention, and monetization rates frequently differ significantly between platforms. Averaging them together obscures decisions. In our engagements, iOS often shows better early retention metrics while Android opens up higher volume at lower CPI, but this varies by category.

When should I add a new channel?

Add one new channel at the start of phase 2 (day 8) at the earliest, and only if your existing channels have generated enough data to serve as a CPI benchmark. Don't launch on four channels simultaneously — you won't have the bandwidth to optimize any of them properly, and you'll confuse your attribution signals.

If you want help building this playbook for a specific app — with channel mix, creative briefs, and a reporting structure built around your category — our mobile app marketing team works through exactly this kind of engagement. Or skip the form and book a 30-minute call directly to talk through where you are and what makes sense for month one.