An excellent commentary from Kara Trivunovic, senior director of strategic services at StrongMail
Systems, highlights the need to not be "creepy" when using behavioral tracking (what a prospect clicks on or downloads) to decide what follow-up offers or info to send to them.
Among other things, Kara recommends being careful about being too literal around interpeting clickstream data at a very granular level, such as blindly spamming a prospect with information on a line of shirts just because they looked at one shirt. However, he says, "if you are able to piece together some
inference around a categorical interest, you have more footing and can
then send an offer supporting that category."
Has anyone out there build such inferences for B2B sales (especially in the IT space)? If so, what "chain of content" has worked for you, and what tools did you use to build the inferences?
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