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Clusterly

AI-powered personalisation that turns customer behaviour into tailored ecommerce experiences.

Added
Sep 22 2023

About Clusterly

Clusterly is a personalization platform for ecommerce teams. It automatically organizes website visitors into behavioral clusters based on browsing patterns, brand affinities, and content interactions, instead of relying on complex manual rules or a large technical team. The platform is aimed at ecommerce organizations that want to personalize the shopping experience without heavy development work.

Clusterly reads a visitor's browsing patterns, brand affinities, and content interactions and groups similar visitors into behavioral clusters. From there it moves from behavior to personalized journeys in five steps, giving teams a clear view of how different groups browse, shop, and engage. That view is meant to let teams deliver the right experience to the right audience without building bespoke rules for every segment.

Clusterly was built from experience working inside large ecommerce organizations, where personalization was wanted but remained fragmented, manual, and difficult to scale across teams. The company built its approach around the belief that personalization should be understandable, usable, and effective for the teams responsible for delivering it, rather than requiring a large technical team to maintain complex rules.

Use cases

  • Designing personalized ecommerce journeys without heavy development
  • Coordinating personalization across teams instead of in silos
  • Turning browsing and content-interaction data into tailored experiences

Key features

  • Automatically organizes users into behavioral clusters
  • Clusters users by browsing patterns, brand affinities and content interactions
  • Gives teams a clear view of how groups browse, shop and engage
  • Enables personalized journeys without heavy development
  • Delivers the right experience to the right audience
  • Turns customer behavior into tailored ecommerce experiences
  • Five-step process from behavior to personalized journeys

Pros and cons

Pros

Does not require heavy development to launch personalized journeys

Reviews

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