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Avari Blog

Automated Personalization for Scalable Relevance

[fa icon="calendar"] Jun 22, 2018 / by Sandy Hathaway


According to research by VentureBeat nearly 70% of marketers will use more email marketing in 2018 than in 2014. The value of email is high, therefore businesses everywhere are working to improve their emails and sending even more. There’s a firehose of content aimed at every inbox and only the best of the best will stand out.

The biggest concern marketers face today is the risk of subscribers drowning in a deluge of irrelevant content. The only solution is to achieve greater relevance based on a more fine-tuned understanding of preferences. And that’s a problem addressed by a Recommendation Engine.

The goal of a Recommendation Engine is to power a customized one-to-one interaction that surprises and delights in a scalable way. It’s the value-added feeling, not the technology, that is more apparent to the end consumer. It automatically personalizes your visitor, subscriber and follower experiences.

Consider the significance of executing customized one-to-one experiences at scale. One email marketer can now reach 100,000 customers with the press of a single send button and each person will simultaneously feel like the interaction is all about themselves. It’s automated relevance – and it’s the key to running a great email marketing program.

Topics: Recommendation Engines

Sandy Hathaway

Written by Sandy Hathaway

As CMO of AVARI, I create conversations around the exciting new frontiers that all CMOs must now adventure into or be left behind: the use of data science, machine learning and behavioral insights to optimize and personalize B2B and B2C experiences.

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