Earlier quoted context omitted.
In early 2000's, as B2B Product Manager, I implemented a similar customer outreach program. We will reverse lookup the name associated with visitor IP address and then look into our own sales contact database for contacts in that company. Depending on contact quality, we will reach out to them using phone, email or personal visit from a sales rep in the area. A few times, we decided to hold 'lunch-and-learn' type in-…
Wow. Any vendor doing this to me goes on a perma-ban list. If they don't respect me before the sale, I'd have no reason to think they'd respect me after.
I view it as providing high level of customer service, before and after sales, in B2B space. It is no different than Amazon displaying related products that you might be interested in or Netflix showing you a queue based on your past viewings, in consumer space.
For example, if a visitor's company produces widgets and as a vendor we have previously helped other producers of same widget. It is in both our and visitors interest to share such and related information. Similarly, a visitor from an existing customer might be searching for a solution to her problem with the vendor's product and doesn't believe the problem is big enough to warrant a support/service call or it is a user and not administrator/manager of the product. A proactive engagement by vendor support group goes a long way in understanding the potential user issues with product, a valuable insight for future product enhancements.
In B2B settings, sales cycles are long and require lot of information exchange between various stakeholders within the potential customer. Both vendor and potential user of the product inside the company (who might become internal champion of solution) benefit by build the relationship early, quickly and efficiently.
IMO, this is the main reason for DropBox failure in penetrating the enterprise despite its high usage by individual users within enterprise. Delays in engaging enterprise users allowed Box to get in to enterprise accounts by targeting decision makers and overriding individual users' preference.