We are proud to announce
Self Learning
the new standard in email marketing
We are proud to announce
Self Learning
the new standard in email marketing
The first Machine Learning algorithm in email marketing to optimize itself towards conversions
When Self Learning is activated, Alvas will continuously improve performance, by using past performance data to train it self on what content that works towards each individual recipient.
Profile Analysis
Alvas receives hard data about the consumer, such as their first name, their address and the products they’ve bought or looked at.
Profile predictions
From the hard data, Alvas uses AI to enrich the profile with extra datapoints such as Gender, Age, and Interests.
Clustering
With the initial hard data and predictions, the profile is vectorized and clustered with the rest of your customer base.
This enables Alvas to find similar people to the recipient we are targeting with an email.
Finding high performing emails
Based on the clustering, we find and filter emails that have generated conversions. Those emails are used to do a content analysis that finds patterns in the content which lead to conversions for similar profiles.
Finding high performing emails
written based on
11 similar profiles with conversions
Writing the email
Lastly, the content analysis is used as a basis to write the new email. This means that the AI will know what content that has a higher statistically probability of creating a conversion.
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