App marketing is way past just driving installs. The real goal now is getting people to actually *do* something inside the app, whether that’s finishing a tutorial or making their first purchase, because that’s what creates long-term value. So how do you build a campaign that actually gets users to act?
Key Takeaways
- Targeting users with ads based on what they’ve done (or haven’t done) in your app, like targeting an “abandoned cart” segment, can boost conversion rates by 15% to 20% compared to just hitting broad demographics.
- Using dynamic creative optimization (DCO) to personalize the visuals and CTAs in your interactive ads based on user data can bump your click-through rates (CTR) by an average of 10%.
- In one campaign we analyzed, A/B testing ad copy that focused on immediate value or a clear next step, instead of just listing app features, pushed our post-install action rates up by 8%.
- You should set aside at least 25% of your campaign budget for retargeting people who’ve interacted with your app but haven’t taken a key action yet. This group consistently delivers a 3x higher return on ad spend (ROAS) for specific in-app goals.
- Every interactive ad needs deep linking. It cuts out user friction and can single-handedly increase the completion rate of your target in-app action by up to 30%.
Campaign Teardown: “FoodieFinds” Onboarding Activation
We recently ran an interactive campaign for “FoodieFinds,” a new recipe discovery app. Our one and only goal was to get more users to complete the “first meal plan creation” action. We weren’t chasing downloads. We needed new users to feel the app’s core benefit within the first 72 hours of opening it. The recipe app market is incredibly crowded, and getting noticed meant we had to deliver value instantly.
Strategy: Thinking Past the Install
Our strategy was pretty straightforward: identify people who are likely interested in meal planning and then drop them right into that part of the app. We believed that if users experienced the planner’s utility right away, they’d stick around longer. This meant we segmented our audience by their inferred intent and early app behaviors, not just by their demographics. We focused on people who’d shown interest in cooking content or had downloaded similar apps. We ran the campaign for six weeks, from October 1st to November 12th, 2026, to catch the lead-up to the holiday cooking season, with a total budget of $75,000.
Creative Approach: Interactive Storytelling
We ditched the static banner ads completely. Our creative was designed to be interactive from the first glance. We built out two main interactive ad formats:
- Mini-Quiz Ad Units: We ran these on the Meta Audience Network and Google Display Network. They were simple, three-question quizzes (“What’s your favorite cuisine?”, “How many meals do you cook per week?”, “Do you prefer quick recipes or gourmet dishes?”). The ad then used their answers to create a personalized call-to-action (CTA) like “Discover 5-Minute Italian Recipes!” or “Plan Your Gourmet Weekend.” Every CTA was deep-linked to that exact spot in the FoodieFinds app.
- “Drag-and-Drop” Recipe Builder Previews: For TikTok and Instagram Reels, we made short videos that acted like a mini-version of the app’s meal planner. Users could tap or swipe to add ingredients to a board right in the ad. A progress bar would fill up, and then a CTA like “Finish Your Meal Plan in FoodieFinds!” would pop up, which was also deep-linked.
Instead of using generic app screenshots, we focused on showing the *experience* of planning a meal. The visuals were full of life, with diverse ingredients and finished dishes, all designed to communicate ease and customization. We rotated these creative sets every week, constantly A/B testing quiz questions, CTA text, and visual styles to squeeze out better performance.
Targeting: Precision Over Volume
Our targeting had a few layers:
- Lookalike Audiences: We built 1% and 3% lookalike audiences from FoodieFinds’ power users, people who had already created at least three meal plans. This turned out to be our best-performing segment by a mile.
- Interest-Based Targeting: On Google and Meta, we targeted users with interests like “healthy eating,” “home cooking,” “meal prep,” “recipe blogs,” and even specific kitchen appliance brands.
- Behavioral Targeting: We used third-party data to find people who were already visiting food websites or engaging with cooking content on social media.
- Retargeting: We put a big chunk of our budget, 30%, here. We went after users who had downloaded FoodieFinds but hadn’t made a meal plan, or who started making one but gave up. These ads often had a testimonial or a direct “Need help getting started?” message that linked to a quick tutorial.
We also used geo-targeting, focusing on cities and suburbs where grocery delivery is common, figuring those people were more likely to adopt digital meal planning.
What Worked: Data-Driven Insights
The campaign really delivered, especially on our main goal of getting that “first meal plan creation” action.
Campaign Performance Metrics:
- Total Impressions: 12.8 million
- Click-Through Rate (CTR): 3.1% (our benchmark for non-interactive app ads is 1.8%)
- Cost Per Lead (CPL – defined as app install): $1.85
- Total Conversions (First Meal Plan Created): 18,500
- Cost Per Conversion: $4.05
- Return On Ad Spend (ROAS): 2.1x (based on projected 3-month subscription value from these users)
The mini-quiz ad units were the clear winner over the video previews, with a conversion rate of 4.8% vs 3.5%. It seems people really responded to the immediate personalization. A recent IAB report on interactive ads backs this up, suggesting personalization can boost engagement by up to 50%, which is definitely what we saw. We also found that quizzes with a direct, benefit-focused CTA like “Get Your Custom 7-Day Plan Now!” converted 15% better than a generic “Open App” button.
Our retargeting segment was incredibly efficient. It took 30% of the budget but drove 45% of all our conversions. The cost per conversion for these users was just $2.70, way below the campaign average. It just goes to show how much power there is in re-engaging users who are already warm to your product, even if they’re not sold yet.
Deep linking was mandatory for this to work. Every single button and interactive element sent users directly to the right screen in the FoodieFinds app. This eliminated all friction. Instead of being dumped on a generic home screen, they were dropped right into the meal planner or a personalized recipe list. We figure this cut down our abandonment rate during onboarding by at least 20%, which is a huge stumbling block for a lot of app campaigns.
What Didn’t Work: Learning Opportunities
Of course, some things flopped. Our first batch of “drag-and-drop” video ads on TikTok had a pretty disappointing conversion rate (2.9% in the first two weeks). We quickly realized the “interactive” part of the ad was too subtle. People were just watching it like a normal video, not realizing they could tap on it. Our other mistake was our initial interest-based targeting on Pinterest. The audience seemed perfect, but our interactive ad formats just didn’t land there. Pinterest users are in an inspiration-gathering mode, not an immediate-action mode, which drove our cost per conversion up to a painful $6.10. We pulled the budget from Pinterest after two weeks. Sometimes the audience is right but the platform’s context is all wrong.
Optimization Steps Taken: Iteration is Key
We made several changes on the fly based on what the data was telling us:
- Enhanced Video Interactivity: We went back to the TikTok/Instagram ads and added obvious on-screen text like “Tap to Add!” and visual prompts (glowing buttons, animated arrows) to signal that they were interactive. This simple fix boosted their conversion rate to 4.1% for the rest of the campaign.
- Dynamic Creative Optimization (DCO): For the quiz ads, we set up DCO to pull recipe images and names directly from the FoodieFinds database. If a user said they liked “vegetarian” and “quick meals,” they saw an ad for “5-Minute Vegetarian Dinners” with a matching photo. This level of personalization gave us a 12% lift in post-click conversion rates.
- Retargeting Segment Refinement: We got more granular with our retargeting. Someone who got halfway through making a meal plan got a different ad (“Just a few more steps!”) than someone who just opened the app once (“Discover your first recipe!”). This detailed approach improved our retargeting ROAS by 0.5x.
- Budget Reallocation: We took 15% of the budget that was being wasted on Pinterest and broad interest targeting and moved it directly to our winners: lookalike audiences and retargeting on Meta and Google.
You have to make these kinds of adjustments. No campaign is a “set it and forget it” project. The campaigns that win are the ones where you’re constantly in the numbers (using tools like Google Analytics 4 and the platform ad managers) and making quick, data-driven changes. This isn’t just about running ads. It’s about running an ongoing experiment.
Conclusion
If you want to drive actions inside your app, you have to get users engaged with personalized, interactive experiences from the very first touchpoint. By using deep linking, dynamic creative, and precise behavioral targeting, you can dramatically increase the chances that a user will become an active, valuable part of your app’s community. The future of app growth is all about closing the gap between a user’s initial curiosity and their sustained engagement inside your app. This is also how you build a sticky experience from day one, which helps with halting churn in 2026. And of course, getting a good handle on your app metrics is what lets you find and scale these successful campaigns in the first place.
What is an interactive app campaign, really?
It’s a campaign that uses ad formats people can actually engage with, think mini-games, quizzes, polls, or simulations of your app, before they ever click through. The whole point is to drive a specific action within the app, not just an install.
How are interactive ads different from normal app install ads?
Traditional ads just show you app features and tell you to download it. Interactive ads give you a “try before you buy” moment, letting you feel a core piece of the app’s functionality inside the ad itself. This tends to bring in higher-quality users who are more likely to stick around.
What metrics matter for these campaigns?
On top of the usual metrics like impressions and CTR, you have to track the specific in-app actions the campaign is supposed to be driving (e.g., “first purchase,” “tutorial completion”). Cost per conversion for those actions, ROAS, and the retention rate of users you acquire this way are the numbers that really tell the story.
Why is everyone so obsessed with deep linking?
Because deep linking sends a user who clicks an ad directly to the relevant screen or feature inside your app, instead of just dumping them on the home screen. It removes a ton of friction, makes for a better user experience, and seriously increases the odds they’ll complete the action the ad promised.
Do interactive campaigns work for any app?
They’re a natural fit for apps with a clear, hands-on core function, like games, e-commerce, or utility apps. But you can adapt the idea for almost any app. The trick is to find one compelling, bite-sized interactive experience that demonstrates your app’s value and points the user toward a specific action.
