ABTasty Recos & Merch lets you push product scores to Algolia so you’ll be able to use those scores in Algolia rules and organize your product lists accordingly.
Mermaid
Synchronizing Merchandizing between ABTasty and Algolia
After creating a new Merchandizing in ABTasty Recos & Merch
Creating a Merchandizingwhen integrated with Algolia, ABTasty Recos & Merch will update an ABTasty catalog (.csv file) accessible upon request that contains all products in line and as many columns as there are Merchandizing configured (with their MERCH_ID as header) in the interface.
You can then regularly request this file and send it to Algolia to synchronize Merchandizing.
Soon, ABTasty Recos will automatically update the products scores in Algolia without requiring you to request and send a csv file.
Merchandizing in ABTasty Recos & Merch and Algolia scores are equivalent ! If you decide to rank your products according to a Merchandizing descending score, you’ll find in Algolia, exactly the ranking you can find in the ABTasty Merchandizing.
Applying an ABTasty Merchandizing through Algolia
When showing a product list on your website, the code of your website will either call Algolia API :
- without any argument
- with a MERCH_ID as argument
If the API call doesn’t contain a MERCH_ID, it is then in the Algolia interface that you decide the order of your products eventually helped by Merchandizing scores such as (trending_score, recency_score…)
If the API call contains a MERCH_ID, you can then configure Algolia rule to order directly thanks to this descending score. It is then in ABTasty Recos & Merch interface that you’ll mainly organize your product lists.
Example : a Merchandizing by audience
You can decide to create different Merchandizing, depending if the visitor is :
- “impulsive” : top trends, then best seller
- “promotion lover” : promotion first …
- …
For each of this audience, you’ll create a Merchandizing in ABTasty Recos & Merch.
When calling Algolia API, you’ll call it with the right MERCH_ID (see how to retrieve the MERCH_ID) so it will order the items according to this score exclusively.
Coupled with ABTasty Audience capabilities you can create a simple correspondence between ABTasty audiences and MERCH_ID