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Aakam
Use case

A bigger order doesn't need a new visitor

Most visitors buy one product and leave — not because they wanted nothing else, but because nothing relevant was put in front of them at the right moment. Every one-item order could have been two.

How this loss closes

The mechanism, not the slogans

Personalization that grows order value doesn't run on static lists. It reads the customer's context inside the session itself: the page they're on, what they browsed before it, and the goal the store sets.

The right suggestion appears where the decision happens — product page, cart, checkout — so the order grows before it closes, without discounts and without another visit.

The product

The product that does this

Ziadah

Ziadah, by Aakam: personalized recommendations inside your Salla or Zid store, managed from one dashboard with no development.

  • Salla· Live now
  • Zid· Live now
Questions

Before you start

Do I need a technical team?

No. Installation happens from your platform's app store, and placements and display styles are controlled from the Ziadah dashboard.

How is this different from "best sellers" lists?

Static lists show everyone the same thing. Ziadah builds the suggestion on the customer's actual in-session behavior and the page's goal.

Where is pricing?

On Ziadah's site and its app-store listing — always the current reference.

Have another question? Talk to us directly

Ready to try Ziadah on your store?