Product recommendations
Products relevant to context and customer.
Personalization
A different experience when intent is different.
A planned studio for recommendations, ranking, search and offers that adapt to customer context.
Book a demoPlanned
CUSTOMER A · COFFEE
CUSTOMER B · GIFTS
THE PROBLEM
One storefront assumes every shopper is the same. Behavioral data enables a more relevant experience.
WHAT YOU CAN DO
Make the store adapt to the shopper.
Planned
Personalized home
Different ordering based on affinity.
Search ranking
Results that account for intent and behavior.
Dynamic offers
A relevant offer instead of a blanket discount.
Product affinity
Detect relationships between customers and categories.
Merchandising rules
Control priority, availability and context.
EXAMPLE USE CASE
Affinity-led storefront
A specialty-coffee shopper sees a different order than a gift buyer, from the same catalog.
- 01Context
- 02Decision
- 03Experience
- 04Learn
WORKS WITH
Related products from the same system.
INTEGRATIONS + DEPENDENCIES
Salla is available. Every other connector is status-labeled.
- Salla Available
- Zid Coming soon
- Shopify Coming soon
- WooCommerce Planned
Commerce Growth OS