How to use recommendations in emails campaign

Embed personalized recommendation banners into email campaigns.

AB Tasty collects user events associated with USER_ID for data collection. Algorithms are trained for various scenarios such as discovering similar items, finding complementary products, and identifying bestsellers. The Algorithm Builder is used to build recommendations, which can be input-based (like those similar to the last viewed items) or non-input (such as bestsellers and new releases). There's also a data enrichment protocol that includes the exchange of a flat file mapping USER_ID to recommended products. In the near future, an API token will allow direct synchronization with Adobe Campaign.

How It Works

1. Data Collection

   • AB Tasty retrieves user events tied to USER_ID.

   • Algorithms trained (similar, complementary, bestsellers, etc.).

2. Build Recommendation

   • Use Ranking Blocks in Strategy Builder.

   • Input-based (similar to last viewed).

   • Non-input (bestsellers, new releases).

3. Data Enrichment Protocol

   • Exchange flat file (USER_ID → RECO products).

Prerequisites

• Ensure navigation events contain USER_ID.

• Configure file exchange protocol or direct API access.

Deploying a new email recommendation

1

Create a recommendation strategy in AB Tasty.

Creating a recommendation | AB Tasty Documentationdocs.abtasty.com

2

Deploy the recommendation on Email campaign

After save your recommendation strategy, click on "deployment settings" on the bottom of the strategy builder.

Option 1 : JSON

If in your Email tool support API request in JSON format you can use the Recommendation API request. Use the first part of the deployment page :

Click on copy icon to have the ID of the recommendation in order to make the request API.

GET https://uc-info.eu.abtasty.com/v1/reco/[SITE_ID]/recos/[RECO_ID]?variables=[VARIABLES]&fields=[FIELDS]

Parameter	Description	Exemple
RECO_ID	The unique identifier of your recommendation (copied from the platform).	5a936bc0-fbd1-4048-81a8-b94da73178e2
SITE_ID	Your AB Tasty site identifier.	952
VARIABLES	JSON-encoded dynamic variables used by the recommendation	JSON.stringify({ "viewing_item": "46857036202293", "viewed_items": [ "46855642644789" ] })
FIELDS	Optional JSON-encoded fields to retrieve from the query. By default, only id.	JSON.stringify([ "img_link", "id", "price", "catalog_page_path", "name", "revenues_last_30_days" ])

You can also have the code to implemente in CURL, Javascript or Python to clicking on "Code" button.

Option 2 : Email Tools

Option 3 : HTML