Technology
How a suggestion gets built
How a suggestion gets built
A suggestion in Ziadah is built from three inputs: page context (where the customer is standing and what that page means commercially), session behavior (what they browsed before this moment), and the store's goal (lift value, lift conversion, reduce abandonment). The surface, the widget, and the presentation style are then chosen to fit that combination.
- Page context
- Where the customer is standing and what that page means commercially.
- Session behavior
- What they browsed before this moment.
- The store's goal
- Lift value, lift conversion, reduce abandonment.
The difference from a static list isn't the algorithm, it's the inputs: a list knows the catalog; a session-built suggestion knows this customer, now.
The difference from a static list isn't the algorithm, it's the inputs: a list knows the catalog; a session-built suggestion knows this customer, now.
An honest boundary
Ziadah is not a customer data platform and does not build a unified customer profile across systems.
Specific technical questions?
Talk to the people who built these systems, not to a sales script.