Kick Ads

Industry Insights

Subscription advertising should not be judged on installs or trials.

An install, a free-trial start and a paid subscription are three different events worth three different amounts. Accounts often optimise toward whichever one fires most often, and that is usually the install.

What Makes This Industry Different

One account can carry three conversions worth completely different amounts.

A subscription app usually measures an app install, a free-trial start, an in-app subscription and sometimes a website purchase inside the same account. The install fires far more often than the rest and costs the least, so it dominates any conversion set it shares with them.

Smart Bidding and Meta's optimisation both follow volume. Left on the default conversion set, the account keeps buying users who install and never pay, and the reported CPA looks healthy the whole time.

Whether the account works comes down to install-to-paid, and that only becomes readable once a cohort has finished its trial and passed the first billing date. Until then CPI is the only number available, and CPI does not answer the question.

What we usually see

What we look at in a subscription account

Installs, trials and subscriptions usually share one conversion column

The install fires far more often than the subscription, so an account CPA is mostly an install cost under another name. We separate the events, mark only the paid ones as primary, and give each one a value the business agrees with.

Install-to-paid decides whether the account works

Two campaigns can buy installs at the same cost and end up with completely different numbers of paying users. We report installs, trial starts and paid subscriptions campaign by campaign, so a cheap install source with no paid conversions stops receiving budget.

A free-trial cohort cannot be judged inside the trial period

A trial period plus a billing delay means this week's spend only shows its real cost per paying user weeks later. We set the review window to the trial length plus the billing lag, and hold campaign changes until a cohort has run through it.

The store listing caps what any campaign can deliver

Everything after the ad click happens on a page the ad account cannot change: the icon, the first two screenshots, the rating and the recent reviews. We look at the store conversion rate before recommending more install budget, because a listing problem raises the cost of every campaign at once.

App events and website purchases sit in two different systems

In-app events land in an SDK or a measurement partner while web purchases land in GA4 and the pixel, so no single report shows a cost per paying customer. We reconcile the two before setting a budget split between app and web campaigns.

At a Glance

Kick Ads manages paid media for subscription apps and digital services across Google Ads and Meta Ads. Our work can include the conversion set and event values, app campaign and Search structure, free-trial and subscription tracking, store listing review, and reporting on install-to-paid alongside install volume.

App campaigns + SearchTrial and subscription trackingIn-app value by eventInstall-to-paid rate

Diagnostics

What we check first

01

Conversion set

Which events are primary, which are secondary, and what value each one carries

02

Install-to-paid

Install, trial start, paid subscription and cancellation, broken down by campaign and source

03

Store listing

Icon, screenshots, description, rating and recent reviews, plus the store conversion rate

04

Tracking

SDK or measurement partner setup, GA4 and pixel on the web side, and whether the two can be read together

Channels

The campaign mix we usually run for subscription apps

Before they search

Meta Awareness

Support

Builds the audience the install and trial campaigns later draw on, particularly around a feature launch

While they are searching

App campaigns for installs

Core

Volume comes from here, which is exactly why the campaign has to be optimised toward a paid event rather than the install itself

Brand and category Search

Core

Catches people looking for the app by name, and people looking for what it does

Meta conversion campaigns for trials

Core

Optimised on the trial start, then checked against how many of those trials convert to paid

While they are comparing

App re-engagement

Support

Reaches people who installed and stopped, which is usually cheaper than buying another install

What the results tell us

Install-to-paid tracking

Installs and trials are easy to buy. The number that decides the budget is how many of them start paying.

Informs the next budget decision

The calendar

The subscription calendar we plan against

Subscription demand is driven by moments when people decide to change something, and by the discount windows the platforms have trained everyone to wait for.

  1. Jan

    New-year resolutions. Fitness, learning and habit apps see their highest intake of the year.

    We plan the annual-plan offer for January rather than a monthly one, because the intent to commit is highest here and lowest in March.

  2. Feb to Apr

    The churn window. January's signups reach the end of their first paid period.

    We watch install-to-paid retention here rather than install volume, because this is where January's numbers get their real result.

  3. Jul to Aug

    Summer. Usage patterns change for entertainment and learning apps in opposite directions.

    We do not run one budget shape across both. Which way the account moves depends on what the app is for.

  4. Sep

    Term starts. Learning, productivity and study apps pick up again.

    We reopen the campaigns paused over summer instead of leaving the summer setup running into the autumn.

  5. Nov to Dec

    11.11 and Black Friday. Annual-plan discounting is now expected rather than optional.

    We plan the discount depth against lifetime value before the window, because a deep annual discount is a decision about next year's revenue.

This calendar comes from running these accounts, not from a measurement. Chinese New Year moves between January and February, so the dates around it shift each year.

Common problems

  • Optimising to app installs by default
  • One conversion action holding installs, trials and subscriptions
  • Judging a cohort before the trial period has finished
  • No in-app event values, so every conversion counts the same
  • Adding install budget while the store listing is the bottleneck
  • App and web campaigns reported separately and never compared
  • Leaving cancellations and refunds out of the CPA calculation

FAQ

Common questions

Want to know what your app budget is actually buying?

Send us the account and the current conversion setup. We can look at the conversion set, install-to-paid by source, the store listing and tracking before recommending what to change.

Talk to us