Driving users to an app store page is only half the battle. For many app teams, the real leakage happens after the click — when users land on a generic, poorly optimized product page that fails to reflect their intent, context, or expectations.

In a recent Business of Apps podcast episode, Vivian Dang, Senior Director of Accounts & Client Services at Gummicube, unpacked why app store conversion optimization remains one of the most overlooked growth levers in mobile marketing — and how teams can unlock quick, compounding wins by treating the App Store and Google Play as dynamic performance channels rather than static storefronts.

This article distills the key themes from the conversation, covering why aggregate conversion rates are misleading, how traffic source context should shape store experiences, and where app teams can find fast, practical improvements without overhauling their entire growth strategy.

The hidden problem: app store pages are treated as static

One of the first issues Vivian highlights is surprisingly simple: many app teams ignore their app store pages altogether.

In practice, this shows up in several ways:

  • little to no A/B testing
  • underused screenshots, videos, and metadata
  • reliance on a single top-line conversion rate
  • minimal strategic thinking about user intent

Too often, teams monitor one aggregated conversion metric in App Store Connect or Google Play Console and treat it as a proxy for performance. According to Vivian, this is one of the least effective ways to understand how an app store presence is actually performing.

The core question shouldn’t just be “How do we get more downloads?” — it should be “How do we get the right users to convert, and continue converting down the funnel?”

Why traffic source context matters more than most teams realize

A central theme of the conversation is that not all app store traffic behaves the same way.

Users arrive at app store pages from many different entry points:

  • paid user acquisition channels like Apple Search Ads or social
  •  websites and landing pages
  • email and newsletter campaigns
  • organic App Store and Google Play discovery

Each of these users arrives with a different mental model and expectation. A user coming from a playable ad expects to see gameplay mechanics reflected immediately in screenshots. A user searching organically expects relevance to their query. When that context is missing, bounce rates rise — and marketing spend is effectively wasted.

As Vivian puts it, if you’re not tailoring the app store experience to each funnel, you’re often paying to drive users to a page that pushes them straight to a competitor.

Custom pages: the most underused conversion lever

The good news is that both Apple and Google already provide the tools to fix this.

On iOS, Custom Product Pages (CPPs) allow teams to create multiple versions of their App Store page, each tailored to a specific traffic source or audience. On Google Play, the equivalent is Custom Store Listings.

These tools allow teams to customize:

  • screenshots
  • preview videos
  • icons
  • metadata and messaging

The result is a store experience that mirrors the user’s original motivation. A sports fan searching for baseball content can land on a page highlighting baseball features rather than generic functionality — dramatically increasing the likelihood of conversion.

Once implemented, these pages can be monitored independently, allowing teams to see which sources and messages are actually driving installs — and iterate as campaigns evolve. 

Using app events to re-engage and reactivate users

Beyond acquisition, Vivian also highlights the importance of in-app events (iOS) and promotional content (Google Play) as tools for engagement and reactivation.

These features allow developers to promote:

  • new features
  • limited-time challenges
  • seasonal content
  • special offers

Crucially, these events aren’t limited to new users. They can be surfaced to:

  • existing users who’ve gone inactive
  • users who previously uninstalled the app
  • lapsed segments with high reactivation potential

While many teams run events for just a few days, Vivian recommends 7–14 day durations to allow store algorithms enough time to index and properly distribute the content. 

The setup effort is relatively low, but the visibility gains — especially during high-interest moments — can be significant.

A/B testing: frequent, structured, and realistic

Another recurring theme in the discussion is how A/B testing is consistently undervalued in app store optimization.

Vivian emphasizes that effective testing needs structure:

  • clear hypotheses
  • defined success metrics
  • consistent testing cadence

Rather than testing sporadically, she recommends running experiments every 2–3 weeks, depending on traffic volume. The goal isn’t to find a “home run” every time — it’s to accumulate learnings.

Most tests won’t produce dramatic winners, and that’s expected. But each test helps teams understand what resonates with users, which messages fail, and which creative elements influence conversion behavior.

Google Play offers particularly broad testing capabilities — allowing nearly every store asset (except the title) to be tested. iOS is more limited, but icons, screenshots, and preview videos are still fair game.

If users can see it, Vivian argues, it should be tested.

Why A/B testing often falls apart

So why don’t more teams do this consistently?

According to Vivian, the blockers are usually a mix of:

  • limited resources
  • the day-to-day tedium of monitoring test performance
  • rapidly shifting trends that make results harder to interpret

A/B testing requires sustained attention. Conversion trends can swing daily, and without dedicated ownership, insights are easily lost. But skipping testing altogether guarantees stagnation — especially in competitive categories.

Measurement: breaking free from aggregate metrics

Measurement brings the conversation full circle.

Vivian strongly cautions against relying on aggregate conversion rates. Instead, performance should be analyzed per channel and per page:

  • did a custom page improve Apple Search Ads performance
  •  did it lift organic conversion?
  • which traffic source is dragging down overall averages?

On iOS, she recommends focusing on install-to-impression metrics rather than product-page-view-to-install, as this better reflects top-of-funnel performance. On Google Play, analysis should be split across the three traffic categories the platform provides.

Only by breaking performance down this way can teams understand what’s truly driving — or blocking — growth.

Quick wins: where teams should start

For teams feeling overwhelmed, Vivian’s advice is pragmatic.

The fastest path to impact isn’t launching more campaigns — it’s auditing existing traffic and setting up custom pages to support it. Many teams already have valuable traffic sources but fail to prepare store experiences that convert that demand into installs.

By taking stock of each channel and aligning the app store experience accordingly, teams can improve conversion rates without increasing spend — creating a more sustainable foundation for long-term growth.

Final takeaway

Improving app store conversion rates isn’t about chasing one metric or one feature. It’s about recognizing that the app store is an active part of the acquisition funnel — not a passive endpoint.

By tailoring store pages to traffic sources, running structured A/B tests, leveraging in-app events, and measuring performance at a granular level, app teams can turn existing demand into higher-quality installs and stronger downstream performance.

As Vivian Dang makes clear, the biggest opportunity isn’t driving more users to the store — it’s making sure the users you already have actually convert.

You can watch the full interview below.