It captures the behavioural data on consumers and using them for unified profiles. Moreover, AI is used for building personas, finding out what their affinities are.Data for all the customers are gathered to predict the preferences of individual customers.

1. Einstein Recommendations
How it
Works?
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2. What is Einstein Recommendations?
It captures the behavioural data on consumers and using them for unified profiles. Moreover, AI is
used for building personas, finding out what their affinities are.Data for all the customers are
gathered to predict the preferences of individual customers.
Einstein Recommendation gives you the following data:
cloud.analogy info@cloudanalogy.com +1(415)830-3899
Behavioural
Data
Affinity
Data
Recommen
dation
Engine

3. What is Einstein Recommendations?
Behavioural Data
It is about all behavioural data for the consumers.
Affinity Data
The preferences of the consumers, the topmost ones.
Recommendation Engine
Based on the preferences, the recommendations are made.
Types of Data :
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4. How to Use this data?
Content Delivery
It is about automating the content for various channels - web, mobile and email.
Segmentation
The behavioral and the affinity data is also available inside the Marketing Cloud to
help in segmentation.
Definition
Based on the behaviour data, events are brought inside Marketing Cloud System
for for placing them inside reengagement journeys.
The data from Einstein Recommendations is used in the following:
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5. How to Use this data?
Configuration
We use the personalized builder for configuration that sets the choice for type of
recommendations - Product or Catalogs.
Definition
Based on the behaviour data, events are brought inside Marketing Cloud System for
consumers losing interest about your products for placing them inside reengagement
journeys.
To Use Einstein Recommendations in Marketing Cloud, we need to do the following:
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6. You need to have a product catalog, or we can even import a catalog. We also have a
streaming update features for embedding the catalog items or status for items, So, the
products not in stock can be conveyed to the customers and these are then not
recommended in future. In order to use Einstein Recommendations in
Marketing Cloud, we need to do the following:
How To use Einstein Recommendations?
Configuration
We use the personalized builder for configuration that sets the choice
for type of recommendations - Product or Catalogs.
cloud.analogy info@cloudanalogy.com +1(415)830-3899

7. How To use Einstein Recommendations?
cloud.analogy info@cloudanalogy.com +1(415)830-3899
How to use the Catalog
This sets the option, whether to use streaming updates or use batch updates. If the
catalog is ready, we can even upload it here.
Recommendations Scenarios
This is a feature in the Personalization Builder. We configure the scenarios say “bought
bought” where a product is bought and the client is interested in some other products
too.

8. How To use Einstein Recommendations?
cloud.analogy info@cloudanalogy.com +1(415)830-3899
Waterfall Predictions
We have the option to enable Waterfall Predictions in the Personalized Builder. on the
number of recommendations and the order to be followed. It states the top priority
scenario as well as those with lowest scenario.
Rule Manager
You can refine Einstein Recommendation for web or email by using the Rules Manager
of Personalization Builder.The Rules in the Rules Manager is to funnel down the
preferred recommendations.

9. How To use Einstein Recommendations?
cloud.analogy info@cloudanalogy.com +1(415)830-3899
Email Recommendations
This is about recommendations for clients, for sending emails. We can edit the content
to be sent here. We have the option to drag and drop the Recommendation block.

10. cloud.analogy info@cloudanalogy.com +1(415)830-3899
THANK YOU