AppLovin MAX Earnings for Social / Lifestyle 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

5.0

Typical session length

9 minutes

Retention day 1 / 7 / 30

28% / 12% / 6%

Typical iOS share

45%

Rewarded video

Off by default

Interstitial

0.5 per user / day

Banner

3 per session

Native

6 per user / day

App open

1 per user / day

Social and lifestyle apps earn from the feed

Social, dating, community and lifestyle apps are built around scrolling: a stream of posts, profiles, recipes or outfits that people check many times a day. Session counts run high even when each visit is short, and total time spent can rival a game. The category sits at an even 1.0 in our tables, but the format you pick matters more here than almost anywhere else, because the feed itself is your inventory.

Native ads are the obvious fit. A card styled like a post, dropped in every so many items, earns on each scroll without breaking the flow, and users tend to accept it as part of the page provided it is clearly labelled. Rewarded video has narrower uses, such as a temporary profile boost or unlocking a filter pack. Interstitials are a poor match. Social sessions have no natural end point, so any full-screen ad feels like someone cutting into a conversation. A banner below a chat screen can work, but it should never sit close to a send button.

Brand safety is the issue that marks this category out. Advertisers worry about appearing beside user-generated posts they cannot vet, and some will block or bid lower on apps with weak moderation. Dating apps carry age-gating duties and limits on which products may be advertised to their users. Good reporting tools and clear community rules protect your ad income as well as your members. If native demand is your priority, compare networks side by side to see which ones offer the format.

Estimated monthly earnings by audience size

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

Where the money comes from

Split of the $7,372 estimate at 10,000 daily users (blended Android and iOS).

Native carries 47% 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 3.9 active days in its first 30 days and 6.6 in 90 days.

Ad revenue per install, first 30 days

$0.10

Ad revenue per install, first 90 days

$0.16

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, 18% ahead of Google AdMob.

Practical tips

• Space native ads by content items, for example one in every eight to ten posts, and test the gap rather than guessing.
• Label every in-feed unit plainly as an ad, because disguised placements break store and network policies.
• Keep ads off private messaging screens, where they feel most intrusive and stray taps are most likely.

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.