Numeric Scoring Targets Hot Leads the Best

Many marketers use a simple rubric — “hot”, “warm” and “cold”  — to define lead quality.  But getting to consensus with sales on the question “what is a qualified lead?” requires a lot more work and ongoing dialog.  Rather than use arbitrary categories like hot, warm and cold or A-lead, B-lead, C-lead, I believe that numeric scoring provide two additional benefits:

  1. It defines lead quality using a precise definition, yet flexible enough to accommodate many situations.
  2. Allows B2B marketers to weight the value of various demand generation activities differently.

I wrote about this previously on the Forrester Interactive Marketing blog, which is reproduced here for your reading pleasure:

Numeric Scoring: The Key To Lead Management Success — April 16, 2008

Recently I saw a preview of Eloqua’s spring release and it got me thinking about the role lead scoring plays in determining campaign effectiveness.  I hadn’t seen the product in a while and was impressed with the UI improvements the Eloqua team has produced. They have added new capabilities for delivering highly personalized direct mail, SMS/voice reminders, and on-demand fax and RSS delivery – interesting stuff that, while I’d need to talk to a client or two to be convinced of their specific usefulness, show that Eloqua is delivering a broader range of lead nurturing, drip marketing capabilities. Lastly, new campaign design UI will help shorten the time it takes to get first campaigns up and running.

With these changes, I see Eloqua – like many of the other firms I mentioned in my prior post – moving the B2B marketing conversation ahead in an important direction. The key to getting a campaign up and running quickly is not to make it easier to launch more campaigns but instead to focus marketing attention on the results – well qualified leads. And this is where I think the marketing rubber hits the sales road.

As an analyst who has written about lead management extensively – I am still amazed at how many marketers feel challenged to produce leads that sales appreciate. The bickering between marketers (who feel sales doesn’t follow up on the great leads they generate) and sales (who feel the quality of said leads is subject to debate) seems to continue unabated. The few marketers who end the arguing figure out early that quantifying lead quality is essential.

In my view, these marketers live by four best practices. They:
1) Sit with sales, talk about leads, and come to an agreement about what is a Marketing Qualified Lead (MQL). What are the characteristics of a lead that make it worth working from sales perspective?  And they are prepared to have this conversation every quarter.

2) Assign numeric scores to the different criteria – both explicit (size, industry, title, budget, etc.) and implicit (behavior, activity, interest, etc.) – that both sales and marketing believe distinguish hot leads from the rest. Specific criteria carry specific point values, like +5 for downloading a white paper and +15 for attending a webinar.

3) Use these criteria and weights to score raw leads (contacts, inquiries, replies, etc.), and set a numeric threshold that leads must attain before they earn the MQL status and get passed to sales. They also adjust scores downward as contacts go inactive or age.

4) Rescore contacts place in nurturing, education, or development campaigns. They work to understand what optimum scores are for each category of lead type.  This score can vary by product line or geography or other company-specific factors, so they don’t assume that one size fits all. Again, scores change with activity levels and age.

Is this all there is to demonstrating campaign effectiveness?  No, but it’s a start. Using numerical, quantifiable scores to grade leads turns the art of marketing into a science and marketers who use this approach tell me numeric scoring is one of the biggest factors in raising marketing’s value to the sales organization. But like most good science, it takes time and effort to perfect.  So I commend Eloqua on their next generation of marketing software and their efforts dedicated to the process of making marketing more accountable.

I would like to hear about your scoring approaches and what you have done to achieve a common definition of qualified leads with sales. ——————————–

Readers replied with some interesting comments to this post, check them out.

Lead Management Matters In B2B Marketing

In my Forrester research — and in contributing to the Interactive Marketer blog — I talk a lot about why B2B marketer need to worry more about managing demand once marketing campaigns and inbound activity brings new, unqualified leads through the door.  I find too many B2B marketers spend a lot of time, money, and energy buying lists for direct and email marketing.  As part of maturing lead management activities, shifting this perspective from list generation to building a prospect data base and numerically, quantitatively qualifying responses is essential.

Here’s what I had to say about it on Forrester:

I Dig Databases And Marketing Qualified Leads – July 22, 2008

I dug Dave Taber’s latest newsletter edition about “The Life of a Lead”.  I mean, I really “Dugg It”.  The article includes a link to digg.com, so I clicked it, registered, and voted for his document. Not simply because I like his ideas, but because I want to experience the “wisdom of crowds” firsthand and see how communal voting might apply to B2B marketing.

Let me back up. Dave and I worked together at Sybase too many years ago to mention. He’s been heading up Taber & Associates for over 10 years now. His Web site leaves something to be desired and he’s not blogging (yet), but I continue to get great insight from his newsletters. He’s a very smart man. From this latest letter, it looks like Dave is writing a book on Salesforce.com best practices.

There are three things Dave points out in this letter that I’d like to underline as concerns B2B marketers should tackle:

1) Terminology and nomenclature – when it comes to demand management, no one uses terms consistently, and we need to.  Dave’s list is a great start.  Rather than just “qualified leads,” I would create a distinciton between marketing-qualified leads and sales-qualified leads. I’ll get back to this in a second.

2) Create a marketing database separately from what you keep in the sales automation application. Read what he says; makes perfect sense. Dave Frankland and I wrote about “Database Marketing Fundamentals For B2B Marketers” in June, if you want to delve into the subject further. Bottomline: a marketing database keeps the messiness of demand generation away from sales.

3) Recognize the value of lead nurturing – what Dave calls cultivation. It works, but your programs need to be written down and automated.  Dave makes a great point about why you should turn nurturing into a process and how this makes it easier to use telesales outsourcing services.

I would separate qualified leads into two categories: Marketing Qualified Leads (MQLs) and Sales Qualified Leads (SQLs).  (I’m not the first to talk about this, but I can’t find the source. If you know, please point me there.)  Why? Tracking MQLs lets marketing measure their contribution to the pipeline — and understand how sales acts on the demand they develop. Moving a lead from MQL to SQL signals that sales agrees the lead is worthy of forecasting, of adding to the pipeline. It also provides a way for sales to return leads to marketing for further nurturing if they get cold. Depending on need, firms can divide MQLs or SQL into subcategories or stages, depending on your size and process, but I think having the distinction is important. MQLs/SQLs let marketing learn more about what sales, individually and as a whole, really considers important in generating quality leads — and vice versa.

Which leads me back to the wisdom of crowds. I believe social mechanisms offer excellent ways to get information. So, I plan to spend more time blogging, microblogging, tagging, and voting to inform my research with firsthand experience, to get “leads” on what matters in B2B marketing, and learn from those who have been involved with social media longer.  I’m @lauraramos on Twitter now.  Follow me, vote for my research on Forrester, Digg my research, and let me know what you think the impact of social activity in B2B business buying will be.

–The same final request now applies to this blog and to the ongoing conversation we will have here. Hope you will join me!

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