Yes, and the number that do is growing quickly. AppLovin has been pushing into e-commerce advertising since 2024, opened its self-serve Axon Ads Manager by referral in October 2025, and made it publicly available in June 2026. Attribution platforms have followed. ThoughtMetric, which sponsors this blog, added an AppLovin integration on September 15 that puts AppLovin spend in the same reports as its other channels, and Polar lists one as well. Connecting the account is the easy part. Measuring AppLovin accurately takes more thought than measuring Meta, because the channel behaves differently from anything else in a typical Shopify mix.
Where do AppLovin ads actually run?
Mostly inside mobile apps, and largely mobile games, as full-screen video placements. Viewers often have to watch before they can return to the app, which makes an impression very different from a scroll past in a feed. AppLovin says the large majority of its e-commerce conversions happen within the first hour after the ad. That is plausible for impulse-priced products shown to an attentive viewer, and it is also exactly the kind of claim that deserves an outside check. A captive viewer also raises the stakes on creative, since a weak video gets watched in full and still does nothing.
What does an AppLovin integration give you?
Spend and campaign data pulled from AppLovin, sitting next to orders your tool attributed to AppLovin traffic using its own tracking. That lets you calculate ROAS against revenue that reached your store rather than revenue AppLovin’s reporting assigns to itself, and compare it against Meta and Google using the same rules.
In ThoughtMetric, that means AppLovin sits in the same reports as every other connected channel, so its new-customer orders and cost per new customer line up against Meta’s on one screen. That comparison is the reason to bother. A channel that only reports through its own dashboard cannot be weighed against the rest of your budget.
Why is AppLovin harder to measure?
Three things. The click path runs from an app into a mobile browser, often an in-app browser, where sessions and cookies are less durable than on a laptop. Some of those buyers come back later through search or a direct visit, and click attribution hands the order to whichever channel they arrived through last.
View effects are the second issue. A forced video view is a stronger impression than a feed scroll, and some people who watch will buy without ever tapping. Click-based tools miss that entirely, and platform view-through credit overcounts it. I have argued before that view-through conversions are mostly noise, and AppLovin is the one channel where I would hold that view a little more loosely, without abandoning it.
Overlap is the third. If the people AppLovin reaches are also in your Meta retargeting pool, both platforms may claim the same buyer. Watch the new-customer share. A channel that is genuinely prospecting should bring a higher share of first-time buyers than your retargeting campaigns do.
How should you test it?
Install AppLovin’s own pixel or its Shopify integration so its algorithm gets purchase signal, and run independent attribution alongside it. Set a fixed budget and judge the test on new-customer orders and blended results in your own data, not AppLovin’s ROAS. If the spend is meaningful, run a holdout. Pause AppLovin for two weeks and see whether total new-customer orders fall by roughly what the attribution said it was producing. That is the only answer that does not depend on anybody’s tracking.
What does a good AppLovin result look like?
Three signs. The new-customer share of AppLovin-attributed orders is clearly higher than your retargeting average. Your post-purchase survey picks up AppLovin or game ads as an answer at a rate roughly in line with the spend. And when you pause it, total new-customer orders dip. If AppLovin reports strong ROAS but none of those three show up in your own data, the platform is probably claiming buyers that other channels found first.
Common questions
Is AppLovin only for mobile game advertisers? Not anymore. Gaming built the network, but e-commerce is now a stated growth priority for the company, and the self-serve launch was aimed squarely at online stores.
Do I need AppLovin’s pixel if I already have an attribution tool? Yes. The pixel feeds AppLovin’s optimization, and your attribution tool measures the outcome independently. Running one does not replace the other.
Should AppLovin get the same attribution window as Meta? Start with the same one so the comparison is fair, then check whether a meaningful number of AppLovin-touched orders land after the window closes. If they do, the channel is slower than its own reporting suggests.
How much should a first test spend? Enough to produce a few dozen attributed orders within four weeks at your current conversion rate. Below that, the result is noise, and you will end up deciding on a feeling about a dashboard rather than on evidence.
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