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Cartful: AI-Powered Guided Selling for Ecommerce

Cartful helps enterprise ecommerce teams guide shoppers through complex catalogs via interactive product finders. It is designed for brands that require control over product recommendations based on business rules.

At a glance

Category
Sales
Best for
Enterprise ecommerce brands, Retail stores with large product catalogs, Ecommerce teams requiring merchandising control, Brands focusing on zero-party data collection
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
Key use cases
Complex Catalog Navigation, Personalized Routine Building, Expertise Gap Bridging, Marketing Data Collection
Integrations
Klaviyo, Google Analytics 4, Meta, Salesforce, HubSpot
Official website
cartful.com
Screenshot of Cartful website

Cartful is a guided selling and product recommendation platform designed for enterprise ecommerce and retail stores. It allows teams to build product finder quizzes using a visual editor, which can be embedded on landing pages, collection pages, or product detail pages to help customers navigate large catalogs.

The platform is designed for brands that require control over their recommendations. Users can set merchandising guardrails, such as eligibility rules and exclusions, to ensure outcomes align with business constraints.

Cartful captures zero-party data from quiz responses and can send that structured intent to marketing tools for segmentation. The software is SOC 2 Type II certified and uses data privacy defaults that avoid storing PII by default.

Pricing is not publicly available. Buyers should confirm current pricing on the vendor website as it is based on monthly traffic, integration needs, and enterprise requirements.

Key Features

Studio Visual Editor

A no-code editor using drag-and-drop blocks and branching logic to build quiz flows.

AI-Assisted Drafting

AI support designed to help teams draft quiz content.

Recommendation Logic

Supports matching methods including scoring, rules-based matching, and decision trees.

Merchandising Guardrails

Tools to apply eligibility rules, exclusions, and boosting to control product recommendations.

Design Matching

Designed to match the existing styling of a website so the quiz experience feels native.

Funnel Analytics

Tracking for quiz starts, drop-offs, completions, and product clicks to support iteration.

Use Cases

Complex Catalog Navigation

Helping shoppers narrow down choices in spec-heavy categories like electronics or technical apparel.

Personalized Routine Building

Supporting skincare and beauty brands in creating customized product suggestions based on user needs and sensitivities.

Expertise Gap Bridging

Guiding pet owners through product choices where the shopper is not the end user.

Marketing Data Collection

Collecting structured shopper intent data to support segmentation in tools like Klaviyo and GA4.

Best For

Enterprise ecommerce brandsRetail stores with large product catalogsEcommerce teams requiring merchandising controlBrands focusing on zero-party data collection

Integrations

KlaviyoGoogle Analytics 4MetaSalesforceHubSpotSegment

Pricing

Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.

FAQ

Who is Cartful designed for?

Cartful is designed for enterprise ecommerce brands and retail stores that manage complex product catalogs and require control over their recommendations.

Does Cartful require coding to build quizzes?

No, it features a Studio Visual Editor with drag-and-drop blocks and AI-assisted drafting to create flows without writing code.

How does Cartful handle data privacy and security?

Cartful is SOC 2 Type II certified and is designed not to store PII or device identifiers by default.

How is Cartful pricing structured?

Pricing is not listed publicly and is provided via quote based on factors like monthly traffic, support levels, and integration needs.

Source category: Sales

Source subcategory: Sales Enablement

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