How to build custom store listings that convert: A framework

In today’s highly competitive app ecosystem, visibility alone isn’t enough, relevance is what drives installs. Building Custom Store Listings (CSLs) tailored to the right audience allows developers to meet users where they are, with messaging that speaks directly to their needs and increase conversion rates.

In this article, we provide a step-by-step framework that our team at AppTweak used to build and validate a high-performing CSL strategy for a global ride-sharing and delivery app to maximize organic reach and conversion rates across global markets.

Key takeaways

Step 1: Define Your core segments

The first step in developing effective CSLs is understanding who your users are.In this case, we analysed a ridesharing and delivery app connecting drivers, couriers, and riders within a single platform. This diversity created both opportunity and complexity, each segment uses the app differently, searches differently, and responds to unique creative triggers.

Through an initial brainstorming session, we mapped the main audience segments and their potential search behaviors:

• Drivers – motivated by flexibility, autonomy, and income opportunities.
  
• Delivery – focused on on-demand groceries and food delivery.
  
• Riders – seeking fast, safe, and affordable transport.

Step 2: Benchmark the Competition

Next, we conducted a competitive review to validate our hypotheses and benchmark best practices.By examining how competitors structure their store listings and creatives across key regions, a clear pattern emerged: 

Most competitors either had a separated app for drivers or were optimizing their default store listing for riders, while drivers and couriers remained largely underrepresented in their app store messaging.

This gap revealed an opportunity, creating dedicated CSLs targeting drivers and delivery personnel could increase visibility and conversion rates within these high-intent user groups.

Step 3: Validate hypotheses with data

Once the potential was identified, we turned to AppTweak’s keyword intelligence to validate it with data.

We analyzed visitors, acquisitions, and search volume for all keywords generating impressions across the main countries to determine where each segment offered the highest organic opportunity. At this stage, two key factors guided our decisions:

• Keyword popularity: High search volume ensures sufficient audience reach.
  
• Ranking potential: Only keywords where the app ranked within the top 10 results were considered impactful for conversion rate (CVR).

The insights were clear:

• Organic CSLs by keyword targeting Driver-related terms generated substantial traffic and installs in Egypt showing strong potential for segment-specific CSLs to increase CVR.

This validation step transformed initial hypotheses into a data-backed roadmap, helping prioritise markets and segment-specific keyword strategies.

While this case focused on a ride-hailing platform, the same intent-alignment principles are visible across high-performing CSL strategies in other categories.

Step 4: Translate Data into Creative Strategy

With keyword and market priorities in place, the next step was creative execution. Here, data meets design.

Key design principles for CSLs with examples

Below we cover top design tips for CSLs.

Align visuals with keyword intent

When targeting high-intent keyword clusters, your first screenshot should immediately confirm the user’s intent and remove ambiguity.

For example, for Flo’s pregnancy-focused CSL, the first screenshot prominently features a visibly pregnant woman. The creative speaks directly to users searching within pregnancy-related keyword clusters. In contrast, Flo’s default store listing takes a broader positioning showcasing its full suite of tools, including period tracking, ovulation, and pregnancy features.

As seen in AppTweak’s CSL Explorer, Flo’s pregnancy-focused CLS compared to the default are tailored to a pregnancy intent.

By narrowing the visual focus in the pregnancy-specific CSL, Flo reduces friction. A user searching for pregnancy support immediately sees themselves reflected in the creative. The default listing communicates breadth; the CSL communicates relevance.

As discussed in our article on How AI is changing relevance in app store search, grouping keywords into semantic clusters is only step one. Once you define a pregnancy-related cluster, your creatives must reinforce that specific user intent. Otherwise, the semantic alignment built in metadata breaks at the conversion stage.

Reflect the user’s motivation in the copy

Visual confirmation is powerful, but the supporting copy should reinforce the user’s goal just as clearly.

When targeting driver-related keyword clusters, messaging such as “Become a driver” or “Gain money as a driver” speaks directly to the underlying motivation: flexibility and income autonomy. The language mirrors what users are trying to accomplish, not just what the app does.

This is where many CSLs fall short. They adapt visuals, but keep generic headlines. If your semantic cluster represents a specific use case or life stage, the copy must reinforce that same intent signal. Otherwise, relevance weakens between search and install.

Localize messaging beyond language translation

Localization goes beyond translation. It adapts the message to the cultural and contextual expectations behind a query.

For example, when targeting train-related keywords in Italy, Omio runs a rail-focused custom store listing that references local brands like Italo and Trenitalia. The creative is clearly centred on train travel, whereas the default listing takes a broader approach, showcasing multiple transport modes and a more general homepage view.

In AppTweak’s CSL Explorer, we can see Omio’s train-focused CLS targets Italian keywords relevant to this intent.

The CSL narrows the value proposition to match the transport-specific intent behind the query, and does so in the local language and context. The result is clearer relevance and reduced friction at the point of decision.

This localization-first design approach made each listing not only visually appealing but also contextually resonant, ultimately driving stronger conversion outcomes.

Step 5: Implement, Measure, and Iterate

To accurately measure the impact of a new CSL, we recommend a two-phase approach:

1. Launch the CSL using default assets and metadata first.
       Run this initial setup until you have enough data to draw a conclusion, at least one week to avoid weekly            seasonality (longer if traffic is low).
2. Switch to the custom assets you’ve designed.
   Keep the targeting and placement consistent, and run the customized assets for at least one week, ideally        during seasonally similar weeks to the control, to minimize external variability.

This method enables a clear comparison of conversion rate performance between the CSL running with default assets vs the CSL running with customized assets, using the same placement conditions. For analysis, we focus only on CSL page traffic (not overall traffic), and track three performance indicators: CVR (conversion rate), SLV (store listing visitors), and SLA (store listing acquisitions).

Results: CSL performance lift vs. default listing

After one week of running the CSL with custom assets, we compared performance between both setups (default vs custom) for CSL traffic and observed:

• +3.76% CVR
• +31.03% SLA, while overall SLA on the default listing was decreasing
• +18.69% SLV, while overall SLV on the default listing was increasing, but at a slower pace.

Measurement only matters if it leads to action. Next, we should roll this out across similar markets, where the effort will be lower, since we can reuse the same approach and strategy.

Common CSL mistakes that kill performance

Even strong segmentation strategies can fail if execution lacks discipline. These are the three most common mistakes we see:

1. Launching CSLs in low-traffic markets

If a market doesn’t generate enough CSL page visits, you won’t reach statistical significance.

No data = no decision.

Before launching:

• Validate keyword search volume
• Confirm you rank top 10
• Estimate minimum CSL traffic required to measure CVR change

2. Over-segmenting your keyword strategy

Creating one CSL for “car drivers” and another for “moto drivers” sounds smart, until neither gets enough volume to move the needle.

Cluster keywords by intent, not semantics.

Aim for:

• One CSL per high-volume intent cluster
• Enough keyword coverage to generate meaningful CSL traffic

Precision matters, but fragmentation kills scale.

3. Translating instead of localizing

Translation changes words. Localization changes persuasion.

We’ve seen conversion lift come not from literal translation, but from:

• Currency formatting
• Local earning expectations
• Cultural trust signals
• Social proof relevance

If your visuals look imported, your CVR will suffer.

Conclusion

This research shows how a segment-driven approach can transform app store conversion and performance.By identifying key user segments, validating their organic potential, and tailoring store listings accordingly, developers can achieve sustained growth beyond paid acquisition.

In the dynamic app economy, customization isn’t just aesthetic, it’s strategic.
Effective CSLs bridge the gap between audience intent and app value, ensuring every impression counts.

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