Personalization Glossary

Artificial Intelligence Marketing (AIM)


Oct 10, 2017

Artificial intelligence marketing (AIM) refers to the automation of gathering and interpreting customer insights for decisions made on behalf of an algorithm or machine learning engines for the purpose of marketing efficiency.

Set to disrupt a number of industries, artificial intelligence is already revolutionizing the way businesses activate their data.

Here are some examples:

Artificial Intelligence for Analytics – Recommends what content variations perform better for what segments based on all available customer data.

Artificial Intelligence for Paid Media – Replaces manual targeting, creative work, and campaign bidding to automated AI-powered targeting, with smart creative and bidding.

Artificial Intelligence for Recommendation Engines – Delivers AI-powered content or product recommendations which automatically analyze user behavior across touchpoints, recommending items based on all available data.

A common thread throughout, the best experiences leverage data from across all customer channels in order to power these algorithms and deliver significant results — the more data sources, the more capable of predicting the desired outcome for each user.

Because understanding which experience will be relevant for, let’s say, a 25-year-old male from New York that loves French bulldogs and Italian food, requires more than the sliver of data fed into the algorithms of a point solution. Whereas a unified platform with data onboarded from multiple sources can decide the best possible experienced based on all of the actions a user took before and after interacting with a brand.

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