Improving App Discovery Through Enhanced Filters

Improving App Discovery Through Enhanced Filters

Summary: Mobile app stores hinder user discovery due to ineffective filtering by download counts and app sizes. Introducing these filters allows users with storage or data constraints to find relevant apps more easily, improving user engagement and satisfaction.

Mobile app stores currently face significant discovery challenges, with users struggling to find apps that match their specific needs and device limitations. Two key gaps exist: there's no way to sort apps by actual download counts (only curated "top charts"), and no proper filtering by app size—a critical factor for users with storage constraints or data limitations.

Solving Discovery Through Better Filters

The idea suggests implementing two practical filtering options in app stores:

  • Download count sorting: Allowing users to sort apps by verified download numbers (with options for different time periods) would surface genuinely popular apps beyond store promotions.
  • App size filtering: Enabling search by application size would help users with limited storage space (common on budget devices) or expensive data plans find appropriately sized apps.

These filters could be combined with existing options like category or rating filters, appearing alongside standard sorting methods. While stores already show this data, making it actionable through sorting would significantly improve discovery.

Why This Matters

These features would primarily benefit three groups:

  1. Users who need to carefully manage their device storage
  2. People in regions with expensive mobile data costs
  3. Practical shoppers who prefer crowd-validated apps over promoted ones

For app store platforms, this could increase user satisfaction and engagement. However, there might be resistance as these features could reduce control over which apps get visibility.

Practical Implementation

One way to test this could start with an MVP focusing on size filtering (less controversial than download sorting), implementing:

  • Size filters in search and category pages
  • Two-way sorting (largest to smallest and vice versa)
  • More prominent size display in listings

If successful, download count sorting could be added later as a secondary phase. The data already exists—this would simply make it actionable for users through existing filter interfaces, avoiding UI clutter.

The concept builds on existing store capabilities but adds the crucial ability to actually sort by these meaningful metrics, giving users more control over their app discovery experience while creating new visibility opportunities for certain types of developers.

Source of Idea:
This idea was taken from https://www.ideasgrab.com/ideas-0-1000/ and further developed using an algorithm.
Skills Needed to Execute This Idea:
Mobile App DevelopmentUser Interface DesignData ManagementUser Experience ResearchSorting AlgorithmsSoftware TestingMarket ResearchProject ManagementAgile MethodologiesAnalytics ImplementationSEO OptimizationProduct DevelopmentStakeholder CommunicationFeature Prioritization
Categories:Mobile ApplicationsUser Experience DesignApp Store OptimizationData ManagementTechnology DevelopmentMarket Research

Hours To Execute (basic)

100 hours to execute minimal version ()

Hours to Execute (full)

300 hours to execute full idea ()

Estd No of Collaborators

1-10 Collaborators ()

Financial Potential

$100M–1B Potential ()

Impact Breadth

Affects 10M-100M people ()

Impact Depth

Substantial Impact ()

Impact Positivity

Probably Helpful ()

Impact Duration

Impacts Lasts 3-10 Years ()

Uniqueness

Moderately Unique ()

Implementability

Moderately Difficult to Implement ()

Plausibility

Reasonably Sound ()

Replicability

Moderately Difficult to Replicate ()

Market Timing

Good Timing ()

Project Type

Digital Product

Project idea submitted by u/idea-curator-bot.
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