How We Increased App Downloads with ASO and ASA by 387%

The Challenge

This client is a cybersecurity app, which means growth requires trust, clarity, and intent alignment. The product was solid; the problem was store momentum:

• The app wasn’t consistently surfacing across enough high-intent searches.
• When users reached the store listing, the page needed clearer conversion support.

Because this is a sensitive category, we kept the engagement conservative in execution and reporting: we focused on a sanitized methodology, measurable outcomes, and avoided exposing anything operationally sensitive.

The goal: increase downloads by improving visibility and store conversion, using a connected ASA + ASO system designed to compound over time. Our objectives were to expand visibility for high-intent searches, increase store installs by improving listing clarity and screenshot sequencing, and build a repeatable search-to-store loop so results improve month after month.

Our Solution

The Strataigize search-to-store flywheel

We connected Apple Search Ads (ASA) and App Store Optimization (ASO) into one loop: use ASA to surface demand signals and validate search intent, translate those signals into ASO keyword and listing improvements, then iterate over time so results compound rather than plateau. This approach is especially well-suited to sensitive categories, where relevance and trust signals matter more than volume.

1. Intent-first keyword research. We built keyword clusters organized around intent, not just search volume. For a cybersecurity app, qualified intent outweighs broad reach, so we prioritized terms most likely to attract users actively looking for a solution.

2. ASO updates and screenshot refresh (Google Play). We updated store metadata to improve keyword coverage and relevance across both platforms, rolled out in a controlled cadence to keep measurement clean. We refreshed the screenshot sequencing to communicate the app’s value more clearly at the moment of decision, reducing install friction for users already considering the app.

3. ASA update (iOS) to support demand and validate intent. We ran a targeted ASA update to support download momentum and use paid signals to further refine which search terms and positioning the listing should emphasize. ASA isn’t only acquisition; it’s an intent-signal engine that helps refine what the store listing should emphasize.

Results

Out of respect for the client’s position as a cybersecurity company, we’re not publishing specific revenue metrics from this engagement. What we can share is that it produced measurable improvements in both download volume and keyword visibility across both platforms, with results that compounded over time as the ASO and ASA systems worked together: shorter-window gains from ASA, longer-window compounding from ASO.

Performance highlights:

• iOS: downloads increased +387.5% (about 4.9x) in comparable 21-day windows following the ASA update.
• Google Play (30 days): installs increased +75.8% (1.76x) after the ASO update window.
• Google Play (90 days): installs increased +165.8% (2.66x) in the longer comparison window.
• Compounding effect: the following 90-day period reached 10.9x versus the earlier 90-day baseline.

“Most apps don’t have a demand problem, they have a connection problem. ASA and ASO are treated separately, so insights never compound. Once we connected search intent with store conversion, performance became predictable. That’s when growth really started to scale.”

Teegan Johnson, Founder, Strataigize

Conclusion

Cybersecurity apps face a distinct growth challenge: users are informed, cautious, and searching with specific intent. A system that connects search intent to store conversion is particularly effective here because it focuses on relevance over reach. ASA captures demand signals, ASO services convert them, and iteration compounds results. If your app has real demand but inconsistent growth, the gap is usually in how searches are captured, how the store page converts, and how consistently you iterate.