The impact of personalization on business according to e-commerce representatives

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The difference between marketer segmentation and predictive AI
A marketer typically relies on purchase history, transaction amount, date of last purchase, and demographic factors (gender, age, etc.). In contrast, predictive AI, in addition to purchase history, takes into account patterns that a marketer cannot see. For example, it may find that a significant portion of the audience has become loyal after purchasing a certain category of products. There may be dozens or hundreds of such patterns, and it is impossible for a human to capture them.
Set of algorithms

AI also uses additional information about the complete viewing history — what exactly italy consumer email list people have viewed recently, even if they haven’t purchased anything. This data may not be available in CRM, but is available to predictive AI. In addition, AI can find similar behavioral patterns across different customer segments (look-alike models).

What factors are taken into account when building segments?

Improving efficiency through predictive segmentation
Thanks to this, we can significantly increase our revenue figures. This tool helps us find the right customers faster than if we were acting only as marketers, based on limited data. Thus, by sending to the same audience, we achieve greater results and get more sales.