Category Guide
App Store Optimization for Shopping Apps: Strategy Guide
ASO strategy guide for shopping and e-commerce apps. Keyword targeting for retail, marketplace, and deal apps with conversion optimization insights.
The Shopping Category Landscape
The Shopping category encompasses e-commerce marketplaces, retail store apps, deal finders, price comparison tools, and wishlist managers. It's a category where established retail brands (Amazon, eBay, Walmart, SHEIN) dominate broad keywords through brand recognition and massive download bases. For independent developers, the opportunity lies in shopping utilities, niche marketplaces, and deal-finding tools that serve specific consumer needs.
User intent in Shopping is highly transactional: people are looking to buy, save money, or organize purchases. Keywords convert well because users are actively in buying mode, making even a keyword few people search for worth having if your app can capture it.
Keyword Patterns in Shopping
Category Segments
- General shopping: "shopping," "deals," "discount"
- Price comparison: "price compare," "price tracker," "price drop," "best price finder"
- Coupons and cashback: "coupons," "promo code," "cashback"
- Niche marketplaces: "vintage clothes," "handmade," "thrift," "secondhand"
- Shopping utilities: "grocery list," "wish list," "shopping list," "barcode scanner"
The general terms belong to the big retailers; the segments below them are where a focused app competes. The table measures all of them side by side.
24 shopping keywords, measured in the US App Store
Measured by RespectASO on 6 October 2026. Popularity is RespectASO's estimate of how often a keyword is searched compared with others, from 1 to 100. Difficulty, from 1 to 100, says how hard the apps already on top are to pass. "In top 10 names" counts the top ten apps with the keyword in their name. How the numbers work.
| Keyword | Popularity | Difficulty | In top 10 names |
|---|---|---|---|
| Head terms | |||
| shopping | 74 | 81 Very Hard | 3 of 10 |
| deals | 68 | 83 Very Hard | 9 of 10 |
| coupons | 67 | 84 Very Hard | 6 of 10 |
| discount | 66 | 79 Very Hard | 6 of 10 |
| price tracker | 35 | 38 Moderate | 7 of 10 |
| cashback | 65 | 65 Hard | 4 of 10 |
| Features and sub-genres | |||
| price compare | 32 | 16 Easy | 2 of 10 |
| promo code | 46 | 48 Moderate | 1 of 10 |
| barcode scanner | 58 | 70 Hard | 6 of 10 |
| wish list | 56 | 62 Hard | 9 of 10 |
| shopping list | 58 | 65 Hard | 5 of 10 |
| price drop | 32 | 23 Easy | 5 of 10 |
| Audiences and uses | |||
| thrift | 64 | 55 Moderate | 3 of 10 |
| secondhand | 58 | 58 Hard | 0 of 10 |
| vintage clothes | 56 | 56 Hard | 0 of 10 |
| handmade | 50 | 28 Easy | 4 of 10 |
| grocery list | 61 | 72 Hard | 7 of 10 |
| sneaker deals | 48 | 48 Moderate | 1 of 10 |
| Long-tail phrases | |||
| price tracker and deal alerts | 26 | 32 Easy | 0 of 10 |
| grocery list with budget | 32 | 46 Moderate | 0 of 10 |
| price drop alert | 28 | 18 Easy | 3 of 10 |
| sell used clothes | 50 | 58 Hard | 0 of 10 |
| best price finder | 38 | 10 Very Easy | 1 of 10 |
| shared shopping list | 29 | 50 Moderate | 1 of 10 |
Difficulty here runs from 10 for "best price finder" to 84 for "coupons". 6 of the 24 keywords score 70 or more, and 5 score under 30. The long-tail phrases have a median difficulty of 39, against 80 for the head terms. The highest popularity among keywords under difficulty 50 belongs to "handmade": 50, at difficulty 28.
To see what these keywords would bring your own app, and to measure them in any of the 175 storefronts, run them in RespectASO, free on your Mac.
Event-Driven Keywords
Shopping keywords spike around major events: Black Friday, Cyber Monday, Prime Day, holiday shopping season, back-to-school. These predictable spikes create seasonal keyword opportunities. Update your keyword field around these events to capture searches that exist for only a few weeks a year.
Metadata Optimization for Shopping Apps
Communicate the Value Proposition
Shopping users are inherently value-conscious. Your subtitle should highlight the benefit: "Price Tracker & Deal Alerts" or "Grocery List with Budget." The word "save" or "savings" is a strong conversion driver in this category.
Retailer and Product Keywords
Users frequently search with retailer names or product categories: "Amazon tracker," "sneaker deals," "electronics sale." If your app monitors specific retailers or product categories, include those as keywords. Be careful with trademark terms in your title. Use them in the keyword field where they won't trigger trademark disputes but will still help indexing.
Common ASO Mistakes in Shopping
- Competing with Amazon on "shopping": Check "shopping" in the table before you build a title around it. Lead with the specific value your app provides: price tracking, coupon aggregation, list management, niche marketplace access.
- Ignoring trust signals: Users sharing shopping data or payment information need reassurance. High ratings, professional screenshots showing real deal examples, and a clear privacy position improve conversion.
- Not updating seasonally: Shopping apps that don't update their keyword strategy for major sales events miss the biggest traffic spikes of the year.
- Too many features in screenshots: Show the core benefit (saved money, found deals, organized lists), not every feature. Shopping users decide fast.
Competitor Landscape
Giant retailers with existing customer bases hold the broad keywords. The shopping utility space (price comparison, list management, coupon finding) is more fragmented. Analyze which specific shopping pain points the major apps don't solve. That's where keyword opportunities exist. Apps like Honey and CamelCamelCamel found success by solving narrow problems extremely well.
International Opportunity
Shopping behavior and popular retailers vary dramatically by country. Mobile commerce keeps expanding in Brazil, India, and Indonesia, and local shopping events (Singles' Day in China-influenced markets, Diwali sales in India) create market-specific keyword spikes. Use the Country Opportunity Finder to compare how your shopping keywords score for your app in those markets and in the US.
How RespectASO Helps
Shopping apps need to evaluate functional keywords (what the tool does), retail keywords (who/what it monitors), and seasonal keywords (event-driven spikes). Use Multi-Keyword Search to evaluate all these keyword types simultaneously, identify Sweet Spots, and build a keyword strategy that adapts to seasonal cycles.

Keyword research in RespectASO: a score and a tag for every keyword
Optimize Your Shopping App
Use RespectASO to research keywords and build a data-driven ASO strategy for Shopping apps.