Autonomous Targeting

Find customers using Autonomous Audience Identification and Targeting

How does Albert handle Targeting?

With the amount of data coming in at any given time, and the rate and pace with which consumers evolve and change , finding customers and crafting and sending hyper-personalized messages remains one of the biggest hurdles for marketers. Albert enables marketers to rapidly find and target both existing and entirely new audiences they may have never thought to target before by testing and combining thousands and thousands of variables at a rapid pace and scale. He looks at geography, demographics, behaviors and interests, as well as other customer data points to do this.

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Segment and Micro-Segment Creation

Albert’s targeting is based on a combination of previously collected CRM data and incoming campaign data. He is able to break the information down into customer segments including current clients, site visitors, lookalikes or entirely new audience. He takes the knowledge he gathers from these segments and creates micro-segments, testing thousands and thousands of variables against these segments in a fraction of the time it would take a human marketer to do. He will only focus efforts in areas that drive conversions and increase engagement, identifying entirely new audiences as he goes.

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Targeting an Audience of One

Albert removes the guesswork by creating an audience of one. Using your pre-existing customer data and predetermined business rules, Albert is able to build unique, individual customer profiles in order to better personalize your marketing efforts. Once the campaign is running and new data pours in, Albert continues to evolve customer profiles, essentially building and maintaining a continuous 1:1 audience targeting environment.

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Up Next: Autonomous Media Buying

Autonomous media buying is when an artificial intelligence marketing platform performs digital media buying for you

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