Lead scoring from buying signals

Have you tried our lead scoring technology ?

Our lead generation solution has changed dramatically over the summer.

To be honest, we have not touched much of our core technology to detect buying signals from public/premium sources (data sets, articles, interviews, web content or social signals). But instead of providing a flow of sales alerts (which remains), we’ve built algorithms to apply a score to each one of our 30 million contacts in Europe.

A dynamic list of leads scored by buying signals

You may wonder why the hell is this a dramatic change ?

Simply said: You don’t have to dig into alerts, profiles and corporate intel to find the sales nuggets. >> We build a dynamic prospecting list of leads ranked by “buying score” and you just have to exclude some or add the key contacts you want to address.

Have a look at how this works in action:

The ROI of Lead Scoring

Before raising the curtain we’ve done extensive testing with some of our European customers. In the heat of the summer they’ve handled their prospecting list of scored leads, excluded some, called most of them and played the ROI game. We tuned some stuff, balanced some score ingredients, and they called, called called… again and again… to reach a lead to opportunity ratio of 8.2% !

How good is this ? Fairly put, it’s 8 times the usual ratio when you work on a somewhat good prospecting list without any buying signals, and its close to 2 times the usual ratio for inbound leads.

Do not take my word on this… Ask for a 7 days test and let the product speak by itself.

Sidenote: Even if we did it in person I would like to thank the 30+ sales rockstars and marketing popstars who played the game to beta-test our LeadGen lists, made thousands of phone calls, helped us improve our scoring model and collected the required metrics. I know their pipeline is their top-reward… but still it was really cool Thank you all.