What is mobile app retargeting?
Mobile app retargeting is an advertising technique that re-engages people who have already interacted with a brand’s app or mobile website but didn’t complete a valuable action, such as making a purchase, starting a subscription, or returning to the app. These users see personalized ads while they use other apps or browse the mobile web, and a tap on the ad brings them back to the product or offer they were interested in.
Like all forms of retargeting, the process follows three broad stages:
A user visits a mobile site or opens an app and interacts with its content.
Data about their actions, such as the products they viewed or added to the cart, is collected.
The user sees a personalized ad in other apps or on other websites.
Retargeting on mobile covers two environments. Mobile web retargeting reaches people who visited a brand’s site through a mobile browser, while in-app retargeting reaches people who installed the brand’s app. For most brands, the app side has become the bigger opportunity, as mobile users spend around 70% of their digital media time in apps, and global spending on digital marketing hit $300 B in 2025. We look at what this shift means for brands in our article on modern app marketing strategy, and readers who want a broader primer can learn more about how retargeting works.
How does mobile app retargeting work?
Mobile app retargeting relies on three building blocks—the signals that show what a user did, the identifiers that recognize that user again, and the deep links that bring them back.
Apps don’t use cookies. Instead, a software development kit (SDK), either the brand’s own or one provided by a mobile measurement partner, records in-app events such as product views, add-to-cart actions, completed game levels, or subscription starts. On the mobile web, retargeting works much as it does on desktop, with tags on the mobile site and browser cookies capturing page views and other on-site actions.
To recognize the same user in other apps, in-app retargeting uses a device-level advertising ID. On iOS this is the Identifier for Advertisers (IDFA), and since iOS 14.5, apps have had to ask for permission through Apple’s ATT framework before they can access it. Users who decline the ATT prompt can’t be identified through their IDFA. On Android, the equivalent is the Google Advertising ID (GAID), which users can reset or delete in their device settings.
The final step is the return. When a user taps a retargeting ad, a deep link opens the app directly on the relevant screen, such as the product they viewed or the cart they abandoned, instead of on the home screen. If the app has since been uninstalled, a deferred deep link sends the user to the app store first and then to the right screen once they reinstall it. Removing these extra steps makes it far more likely that users complete the action they started.
See also: Retargeting and Why it Should be in the Digital Toolbox of Every Home Improvement Organization
Mobile app retargeting with RTB House
At RTB House, our personalized retargeting runs across both mobile web and in-app environments, powered by Deep Learning. Our algorithms analyze in-app events and browsing behavior to predict which products and offers each user is most likely to act on, and they build dynamic, personalized creatives that stay true to each brand’s look and feel. Deep links then take users straight back into the app, to the offer that matters most to them. Learn more about our In-App offer, or see how this approach helped Kiabi double its ROI.
Benefits of mobile retargeting
There are several reasons why brands invest in mobile retargeting.
Reaching the right audience
Finding and engaging new users can be time-consuming and expensive, while convincing people who have already visited a mobile site or downloaded an app to make their first purchase tends to be more efficient. With mobile retargeting, brands spend their budgets on audiences that have already shown interest in their offerings. The results reflect this, as an Adjust study of 140 apps found that retargeted users triggered 37% more revenue events in their first 30 days than newly acquired users.
Increased conversion
Many users browse an app or mobile store but never buy, and often all they need is a small push at the right moment. Shopping cart abandonment is a good example. If a user adds a pair of pants to the cart, gets distracted, and leaves the app, personalized ads can show them the same product and prompt them to complete the purchase. Time-limited offers help as well, such as seasonal sales that are about to end or a customer-specific promo code, because they give users a reason to act now. Deep Learning helps match these offers to the users most likely to respond, which is why RTB House retargeting solutions are 100% Deep Learning-powered.
Increased visibility
Mobile users make up a huge share of most brand’s potential customers, with mobile devices generating 58.5% of global website traffic in 2025. Mobile retargeting helps brands renew relationships with customers who stopped using their services, strengthen the bond with active users, and keep their name and offer present across the apps and sites people visit most.
More engagement
Retargeted users tend to be far more active than new ones. The same Adjust research showed that retargeted users had 152% higher engagement rates than newly acquired users. Different users need different reasons to come back, from people who browsed but never bought to loyal customers, and a well-planned retargeting campaign gives each group a relevant one. We look at these groups in more detail in the strategies section below.
Useful insights
Most user actions reveal information that makes future advertising more efficient. Gathering and analyzing this data makes audience segmentation more precise. After a mobile retargeting campaign, brands can also see which ad formats, messages, and placements brought users back to the app, and use those insights to shape their future marketing plans.
Which retargeting strategies work best for mobile apps?
Most apps serve more than one business goal. Some brands need to win back users who have drifted away, while others want to grow order value or turn fresh installs into active customers. In-app retargeting can support each of these objectives, and the strongest campaigns start by deciding which outcome matters most at a given moment. The strategies below are the ones brands rely on most often, along with what each is designed to achieve.
Mobile app vs. web retargeting: what’s the difference?
Both approaches share the same goal, but the mechanics differ in ways that affect how campaigns are planned and measured.
For brands with both a mobile site and an app, running the two together makes sense, as it reaches users in whichever environment they happen to spend their time and covers a full customer journey.
What are the main challenges of mobile retargeting?
Privacy restrictions
Under Apple’s ATT framework, iOS users have to opt in before apps can use their IDFA for tracking, which shrinks the pool of users that can be identified on iOS devices. Brands are adapting by relying more on consented first-party data, contextual signals, and Apple’s own privacy-preserving attribution frameworks. Those who use Android, on the other hand, can be targeted with few restrictions.
Measurement
Accurate measurement is one of the biggest challenges in the in-app channel, as marketing teams often run ads across many platforms and can see very different results from each. Mobile measurement partner (MMP) data offers a reliable starting point to verify campaign performance so you can decide where to focus your efforts. You can also enrich your measurement with incrementality testing, which double-checks performance by comparing users who see the ads with a control or holdout group that doesn’t, revealing the true lift a campaign delivers. We explain how this method compares with head-to-head testing in a separate article.
Ad fatigue
Showing the same ad too often can irritate users and hurt brand perception. Personalized retargeting at optimal moments, with possible frequency caps that limit how many times a user sees an ad in a given timeframe, helps counteract fatigue.
Mobile app retargeting best practices
Granular audience segmentation
Having data as granular as possible means you’re able to segment more efficiently. Mapping more events in the app provides opportunities to have more detailed targeting and integrate a CRM much more seamlessly. This is where Deep Learning excels—in interpreting vast sets of unstructured, granular data in novel, or even counterintuitive ways, which enables this technology to deliver real incremental value.
Deep links
Retargeting ads should lead to the most relevant screen in the app. Sending users to the home screen adds friction and costs conversions that a deep link would have secured.
Balanced frequency caps
Frequency caps should keep a brand visible without overwhelming users. The right level differs between segments, so a recent cart abandoner can usually see more ads than someone who hasn’t opened the app in months.
One source of truth for all providers
Working with an MMP gives brands one trusted source of truth for performance, measured the same way across all media sources. It shows which campaigns and segments add real incremental value and supports confident budget and ROI decisions.
Combining retargeting with remarketing
Retargeting ads work best alongside owned channels such as push notifications and email. Coordinating these channels keeps messaging consistent, although push notifications should be used with care, as overusing them can increase churn.
Dynamic creative optimization (DCO)
DCO automatically assembles ads from product feeds, visuals, and messages that match each user’s interests. It allows brands to deliver personalized creatives at scale without designing every variation by hand.
The future of mobile app retargeting
For years, the industry prepared for the end of third-party cookies in Google Chrome. That plan changed in 2024, when Google announced it would keep third-party cookies, and in 2025, the company confirmed it would not introduce a separate cookie choice prompt and began retiring its Privacy Sandbox APIs. Third-party cookies therefore remain in Chrome, while Safari and Firefox continue to restrict them by default.
In the app environment, the direction is clear. ATT has made consent a precondition for using the IDFA on iOS, and users increasingly expect control over how their data is used. The future of mobile app retargeting depends on first-party data, such as in-app events and logged-in user activity, and on consented signals that respect user choices. Technology that makes accurate predictions from fewer, higher-quality signals will have a clear advantage, and this is where Deep Learning-based models make the biggest difference.
Mobile app retargeting remains one of the most effective ways to turn installs and visits into lasting revenue. By combining in-app signals, deep links, and personalized creatives, and by measuring real incremental results, brands can recover abandoned carts, bring back lapsed users, and grow the value of their best customers. To see how RTB House can support these goals, contact us.
