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Use case · Conversion

AI personalisation tools.

44 apps assigned to this use case by a written definition. 20 of them are built mainly for this job. Filter by type, the platforms they work with and pricing.

tools listed
44
built mainly for this job
20

Active filters

2 tools match your filters

Showing 1 to 2 of 2, ordered by main purpose first

How results are ordered

Tools whose main purpose is this job come first, then tools where it is a documented feature. Alphabetical within each. This is not a ranking of quality.

There are no paid placements on use-case pages, and no ratings.

  1. Adoric

    App

    Shopify apps for product bundles, cart and post-purchase upsells, and email capture popups, with AI picking offers and rebuilding cart designs.

    A documented featureDocumented feature surfaces upsell and cross-sell offers at checkout alongside targeted exit-intent campaigns.

    • Shopify logoShopify
    • WooCommerce logoWooCommerce
    Pricing
    Not recorded
    Price
    Not recorded
    Free plan
    No
    Free trial
    No
    View profile for Adoric

  2. M:AI Search

    App

    Replaces the built-in search in Shopify and WooCommerce stores with a semantic AI search engine and adds AI product recommendations.

    A documented featureAlso provides AI product recommendations and inline product suggestions.

    • Shopify logoShopify
    • WooCommerce logoWooCommerce
    Pricing
    Free plan and paid plans
    Price
    Not recorded
    Free plan
    No
    Free trial
    No
    View profile for M:AI Search

From the ecommerceguide dataset

Personalisation tools in numbers

Calculated from all 44 tools on this page's list. Percentages are of the group named.

Tools listed
44
Built mainly for this job
20 45%
Apps with a free plan
3 7%

Works with

Where a listing names the platform. A count of listings, not of usage.

App pricing model

Percentages are of apps.

How tools are assigned to a use case

What this page includes

Personalises what a shopper sees on the store: product recommendations, personalised merchandising, dynamic content, onsite segmentation, upsell and cross-sell recommendations.

Not included: Email or SMS personalisation only. Site search. Pop-up builders with no personalisation logic.

How the assignment is made

Each use case has a written definition of what qualifies and what does not. A language model (Claude) reads each tool's listing, its summary and, for MCP servers, the verified integrations and tasks, and assigns it only where the definition fits. It sees no earlier assignments. 670 tools were classified, most recently in Sept 2026.

Main purpose or a feature

“Main purpose” means doing this job is what the tool is for. “A documented feature” means a named feature does the job but the tool's main purpose is something else. Anything weaker is left out. A tool can appear in at most three use cases.

What has to be true first

A tool appears here only once it is listed in its own section: MCP servers after their repository or documentation is verified, apps after their site and listing are reviewed. A use case gets its own page only with at least 10 such tools.

What the facts show

For apps, the pricing model and free plan or trial as recorded from the app's pricing page. For MCP servers, how they run, how they authenticate and who maintains them. “Works with” for apps comes from the listing's own text and is not a tested integration.

Order and corrections

Main-purpose tools first, then alphabetical. No paid placements and no ratings. Corrections: hello@ecommerceguide.com.