Our team has started using AI to evaluate leads, and the results are truly impressive. Bots analyze customer behavior on the website and assign them a score based on the likelihood of conversion. But the question remains: how can we strike the right balance between high scores and the customer's actual readiness to buy so as not to lose potentially valuable contacts?
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Doesn't a high lead score sometimes feel misleading? It did for me. I once chased a "hot" lead with a perfect score, only to find out they were just browsing, not buying. How do you avoid that pitfall? Through careful segmentation and multi-faceted scoring, considering behavioral AND demographic data. Have you played Basket Random ?