AppLovin MAX Earnings for Utility App Apps

Typical ad setup for this category

These are the modelling defaults for the category, used in every table on this page.

Sessions per user per day

2.0

Typical session length

2 minutes

Retention day 1 / 7 / 30

25% / 10% / 5%

Typical iOS share

30%

Rewarded video

Off by default

Interstitial

1 per user / day

Banner

4 per session

Native

2 per user / day

App open

1 per user / day

Utility apps must earn without slowing the task

People open a scanner, torch, file manager, unit converter or VPN to do one job and then close it. Visits are brief and purposeful, and the user judges the app on how quickly it gets out of the way. There is no level to finish and no reward economy to lean on, which helps explain why utilities come in at 0.9 of the baseline in our model. The ad space is real, but much of the attention it captures is spent waiting for a file to save or a connection to start.

App open ads suit this category better than most, because a loading moment is already a pause the user expects. Native units sit comfortably inside lists of files, scan history or saved items. Rewarded video can unlock an occasional premium action, such as one extra high-resolution export or a short break from a usage limit, which feels fair to people who will never subscribe. Interstitials are the risky format. One that lands between the user and the result they came for, such as a finished scan or a converted file, reads as the app holding their work hostage.

Competition adds pressure. Most utilities have dozens of near-identical rivals one search away, so a review complaining about intrusive ads costs installs directly. Store rules also forbid ads that appear outside the app or imitate system notifications, and breaking them can get an app removed, which ends its income entirely. The formats overview sets out how each unit earns and how users tend to react to it.

Estimated monthly earnings by audience size

Monthly estimates for the typical setup above, balanced region split.

Where the money comes from

Split of the $4,011 estimate at 10,000 daily users (blended Android and iOS).

Interstitial carries 30% of the total, so its placement and frequency matter most for this category.

Region makes the biggest difference

The same app at 10,000 daily users with three audience splits:

Moving from an emerging-market audience to a Tier 1 audience multiplies the estimate by about 2.4.

Revenue per install

Using the category’s typical retention curve, one install produces about 3.5 active days in its first 30 days and 5.7 in 90 days.

Ad revenue per install, first 30 days

$0.05

Ad revenue per install, first 90 days

$0.08

Compare these figures with your cost per install before buying users. They exclude in-app purchases.

How AppLovin MAX fits this category

For Interstitial, the Tier 1 eCPM in our AppLovin MAX table is $9.80, about 21% above the middle of the eight mobile networks. For Banner, the Tier 1 eCPM in our AppLovin MAX table is $1.10, about 33% above the middle of the eight mobile networks. For Native, the Tier 1 eCPM in our AppLovin MAX table is $4.00, about 19% above the middle of the eight mobile networks. For App open, the Tier 1 eCPM in our AppLovin MAX table is $6.00, about 4% above the middle of the eight mobile networks. Modelled fill is 90% for AppLovin MAX against an average of 83% across the mobile networks, which adds a little to every format.

You create an account, add each app with its store ID and generate ad units in the MAX dashboard. The integration manager lists the SDK and adapters for each network you pick, and each of those networks needs its own account before it can bid. Add AppLovin's lines to the app-ads.txt file on your developer website so buyers can verify your inventory, then use the mediation debugger to confirm every adapter loads. Compare outcomes on the AppLovin MAX revenue calculator.

How AppLovin MAX ranks for this category

All eight mobile networks, same category and audience (10,000 daily users, balanced).

AppLovin MAX ranks 1 of 8 here, 19% ahead of Google AdMob.

Practical tips

• Show an app open ad on a cold start only, not every time the user switches back to the app.
• Never place a full-screen ad between the user and the output they asked for.
• Offer a rewarded unlock for occasional premium actions to earn from users who would never pay.

About AppLovin MAX

AppLovin MAX is a mediation platform built around in-app bidding, with AppLovin's own demand competing alongside other networks in each auction. It posts the highest central estimates in our mobile tables, about $14.50 for Tier 1 rewarded and $9.80 for interstitials on Android, and the highest blended fill at roughly 90%.

All figures come from our benchmark tables: Android eCPMs by tier, category or niche multipliers, modelled fill and the iOS multiplier. They are estimates for planning, not quotes.