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Mobile App Retention: Benchmarks and Strategies for Online Stores (2026)
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Marqo

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Integrating Appbrew with Marqo brings AI-native, semantic search into your mobile app. Marqo trains a dedicated AI model on your catalog and real shopper behavior. You can:

  • Power in-app search using semantic relevance rather than keyword-only matching
  • Return typo-tolerant, multilingual and intent-aware results as shoppers search
  • Support multimodal search, combining image and text queries
  • Automate ranking, boosts, filters and collections, reducing manual merchandising work
  • Show real-time product suggestions as customers type

This means shoppers find relevant products even when their search terms don't exactly match product titles, and your team spends less time hand-tuning merchandising rules.

What You Need

  • Login credentials for both your Appbrew and Marqo accounts
  • An active Marqo account
  • Minimum Appbrew plan: Enterprise

How to Set Up the Integration

Contact your Appbrew representative to enable this integration for your app.

Use Cases

Intent-Aware Search

  • Trigger: a shopper searches using natural language or a typo
  • Action: Marqo returns semantically relevant results
  • Outcome: fewer abandoned searches from zero-result queries

Automated Merchandising

  • Trigger: new products are added to the catalog
  • Action: Marqo automatically ranks, boosts and organizes them into collections
  • Outcome: less manual merchandising work for your team

Who this is for

Brands with large or unusual catalogs where keyword-only search misses relevant results, and teams that want less manual merchandising overhead. Marqo is positioned by Appbrew as an advanced option for catalogs where basic search and static merchandising no longer keep up with conversion goals.

FAQs

Is Marqo available on every Appbrew plan?
No — it requires the Appbrew Enterprise plan.

Does Marqo handle typos and natural-language queries?
Yes, that's core to its semantic search approach.

Does Marqo support image-based search?
Yes — it supports multimodal search combining image and text.

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