Lead Scoring Rules for B2B CompaniesB2B companies are turning to the potential of lead scoring -- the automated process of qualifying and segmenting leads on your website -- to identify valuable customer prospects, recognize those people who need a little more attention and determine visitors who just aren't a fit with your company. A welcome side effect of this process is the alignment created between sales and marketing.

How do companies actually score their prospects and label them? What real scores do they use? This won’t be your first article on Lead Scoring -- more like your fifteenth -- but unlike articles that list general steps for implementation, and about a hundred broad-spectrum scoring rules, this one will focus on what really works in practice.

Most companies keep their lead scoring know-how to themselves, but I'm going to share some of the most effective lead scoring rules and lessons learned, based on real experience with the Kentico website.

Setting Up Lead Scoring Rules

One of the primary use of lead scoring is for determining the sales-readiness of leads -- a method shared by the marketing and sales teams -- that enable us to quickly target and contact leads closest to sale, further nurture those not yet ready and abandon the rest. The closer alignment of sales and marketing efforts is a side benefit!

While a one-scale lead scoring system might be efficient for B2C companies, we are in the B2B market and have a longer sales cycle, so we use the two-dimensional system of scoring -- engagement with our business and fit to our business (on separate scales).

lead engagement with business

These two dimensions are invaluable in avoiding wasting time on leads that have a high score, but no real interest in purchasing, and unlikely opportunities (leads with a low score, but who are very interested in making a purchase).

For example, a student working on his homework about your industry may spend hours on your website -- reading your materials, watching your videos and downloading brochures. This accrues him a very high score for engagement. But, in this two-dimensional approach to scoring, his demographic data wins him very few (or perhaps even negative) points for his fit into your business, meaning that his information is not passed to sales so they can focus on real leads. To be processed by sales, leads must meet a certain score level in both dimensions.

Explicit (Demographic) Scores Showing the Fit to Your Business

Explicit scores are highly dependent on data submitted to you by your site visitors. You may also acquire such data from third party online directories of companies and business professionals. But our experience is that only a small portion of information gathered on the website will match (and can be paired with) the databases of these third party services. Furthermore, even the successfully matched data is not always accurate.

So, the value of your explicit scoring is based on the richness of your website form fields, the willingness of visitors to complete them, and how honest they are when they do. However, the more fields there are in a form, the lower the response rate. So you have a balancing act to gather the most powerful information in the smallest number of fields, having to make a compromise -- amount of information versus response rate.

In our case, we have only three mandatory fields -- First Name, Last Name and email -- and two optional fields -- Company and Phone.

explicit data - demographic scores

Implicit (Behavior Based) Scores Showing Engagement with Our Business

The following table shows 25 scores that are based solely on the behavior of the lead or their source of traffic:

Lead Scoring Implicit Data

Common Ground: Creating Lead Scoring Labels

Clearly communicating a lead scoring system is crucial towards aligning the efforts of marketing and sales. Prior to setting up the scoring labels, there must be a common definition of all the terms used within the company, such as “visitor,” “lead,” “hot lead,” etc.