User Acquisition for E-commerce & Shopping Apps
Shopping apps do not win on installs, they win on orders. Catalog ads, retargeting, and a measurement model built around purchase value.
Key takeaways
- E-commerce app UA optimizes to purchases and repeat orders, not installs.
- Dynamic product ads and retargeting on Meta and Google do the heavy lifting.
For shopping apps, an install is just the doorway; the business is in the first order and the second. That changes how you buy, what you optimize to, and how you judge a channel.
Optimize to purchase, not install
Bid and optimize toward purchase value, not install volume. A flood of cheap installers who never check out is worse than fewer, pricier users who buy. Value-based bidding is the default here.
Catalog and dynamic ads
Product feeds power dynamic ads that show the right items to the right people, and retargeting recovers carts and browsers. For catalog-heavy apps, this machinery is the core of efficient acquisition and re-engagement.
Channels and seasonality
Meta and Google carry most shopping UA, with TikTok rising for discovery commerce. Seasonality is brutal and predictable: plan budgets around peak retail moments when both demand and CPMs spike.
The economics
Judge on first-order CAC against repeat-purchase LTV and average order value. A high acquisition cost is fine if customers come back; the whole model lives or dies on repeat rate.
Scaling a shopping app on orders, not installs?
See the UA service