Armed with creative content (headlines and visuals) provided by Harley-Davidson, and key performance targets, the AI tool, Albert, began by analyzing existing customer data from Jacobi’s customer relationship management (CRM) system to isolate defining characteristics and behaviors of high-value past customers: those who either had completed a purchase, added an item to an online cart, viewed website content, or were among the top 25% in terms of time spent on the website.
Using this information, Albert identified lookalikes who resembled these past customers and created micro segments – small sample groups with whom Albert could run test campaigns before extending its efforts more widely. It used the data gathered through these tests to predict which possible headlines and visual combinations – and thousands of other campaign variables – would most likely convert different audience segments through various digital channels (social media, search, display, and email or SMS).
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Using this information, Albert identified lookalikes who resembled these past customers and created micro segments – small sample groups with whom Albert could run test campaigns before extending its efforts more widely. It used the data gathered through these tests to predict which possible headlines and visual combinations – and thousands of other campaign variables – would most likely convert different audience segments through various digital channels (social media, search, display, and email or SMS).
Click here to read the full article.
