AppLovin ads for ecommerce brands
We run AppLovin for brands that need growth beyond Meta.
Metaply launches, manages, and measures AppLovin Ads (formerly Axon) as an incremental channel for Shopify brands. We publish what we learn.
$595K attributed · 73% new-customer orders · verified in Triple Whale
If you’re new to AppLovin
AppLovin serves full-screen ads inside mobile games to more than a billion people a day. Ecommerce brands got access in late 2024, and the platform went fully self-serve in June 2026. It reaches buyers Meta doesn’t, but it needs different creative, campaign structure, and measurement to work.
Evidence first.
All case studiesConsumer products · glass · Launched January 2026 · Triple Whale
$595K in attributed revenue, 73% of it from new customers.
- ROAS
- 3.71×
- New-customer ROAS
- 2.89×
- Of store revenue
- 18.7%
Two more case studies from accounts we manage are being written up. They will be published with the same per-metric source labels. Nothing here is projected.
How we work.
More on the methodWe push the store’s historical Shopify purchase data to AppLovin before day one, so the model starts with a buyer baseline instead of learning from zero.
Full-screen video inside a game is not a Meta feed. We build the hook, pacing, captions, and end card for that placement rather than re-uploading what worked elsewhere.
We reconcile AppLovin’s click-only reporting against Triple Whale or Northbeam and Shopify, and we look at order overlap with Meta before calling a result real.
What we do.
ServicesAccount structure, pixel and catalog, goal type, Day 0 vs Day 7, and purchase-history seeding before launch.
AppLovin-native video, end cards, and playable ads, produced and refreshed at the volume the channel needs.
Server-side events, Orders API recovery, Triple Whale or Northbeam alignment, and overlap analysis against Meta.
Budget pacing, bidding, testing, weekly reporting, and the discipline of not touching campaigns mid-learning.
AppLovin ecommerce benchmarks.
MethodologyWe’re publishing CPM, CTR, CPC, cost per purchaser, ROAS, and new-customer share from the accounts we manage, by vertical and order value. Every number will carry its sample size and date range. First release: once at least four accounts have eight weeks of data.
Who it’s for, and who it isn’t.
Good fit
- Shopify brand spending $30K+ a month on Meta
- Proven product-market fit and repeat purchase
- Willing to make creative for the placement, not reuse Meta ads as-is
- Runs Triple Whale or Northbeam, or will add measurement before launch
Probably not
- Pre-product-market fit, or under roughly $1M a year in revenue
- Expecting Meta creative to work unchanged
- Restricted category (hemp, THC, supplements, sweepstakes) without a compliance plan
- Needs a result inside the first two weeks
Who runs this
Isaac Reyna founded Metaply and runs the AppLovin accounts it manages. Every guide on this site is written from that account work, not from AppLovin’s marketing. About Metaply
Tell us about your store.
Bring your numbers. We’ll tell you honestly whether AppLovin fits, and what it would take to find out.