Smashmouth B2B Blog: Sales & Marketing Demand Gen

B2B Lead Gen Numbers Do Improve With the Nintendo Wii

Posted by Michael Damphousse

Wii Bowling will improve your lead gen numbersI got a bit carried away recently with my niece and nephews' Wii Bowling game.  Even when I thought I had done my best and had enough, I would take a breather and come back and SWING!  I would put up better numbers.  It was addicting.

  • I wanted to beat my best score, and
  • I wanted to beat their best scores

It was all so gratifying, and it was all about the numbers!

Outbound sales, lead generation and demand gen in general are all about the numbers, too: forecasting good numbers, hitting those numbers and then pushing those numbers to new levels.  We're all compelled to come back to the Wii console multiple times in order to improve our all-time best, and we are also compelled to come back and beat our peer's best scores.  It's addictive.  It's energizing.  Heck ... it's just plain fun.

We should all apply this same energy, interest and compelling drive to our jobs.

One thing our jobs have that the Wii doesn't is that our consistent performance and high scores get compensated with better revenue, pipeline and paychecks. What the Wii has that we might need in our jobs is great graphics, stats and instant reward.  Do you know your stats by the week?  day?  hour?  Do you have dashboards that track your lead generation and pipeline activity?  Learn from the Wii and even if you just need to track your high scores on a piece of paper, track them, know them and always be trying to put up a better score.

And just like the Wii records the stats and records that let you know how you are progressing and are relevant, make sure that the things you measure are the right ones.  Measuring the wrong stats can incent bad behaviors!

I venture to say that there may be thousands of fast-talking, smart teens out there in their basements with Wii high scores who might some day make fantastic inside sales professionals and fill our appointment setting jobs


Lastly, the Wii session inspired a contest at Green Leads this month.  We decided to have our appointment setting teams compete to win some electronic goodness, and beat each other's scores.  Being that we are a company that focuses on Quality and Quantity, the contest assigned 2 points for every meeting completed and accepted by our clients, and 1 point for every meeting set.  The winning team was The Flatlanders with a 20% lead over the rest.  

Flatlander Winners (picking gifts in a yankee swap fashion): Levi, JT, Anna Marie, Gareth, Chris, Lisa, Gill and Sarah (with the highest score). Congrats to all! Check out the booty below.  Missing is the xBox Kinect, which just got released last night at midnight.  It's on the way.

b2b demand gen numbers

Clockwise from top: Wii, Slingbox, Sirius Radio, Nikon Camera, iPod, iHome, missing (xBox and remote Car Starter) ...and yes, that is a poker table the gifts are on. Green Leads has fun too.

Tags: sales, b2b, b2b sales, inside sales, b2b marketing, drivel, math, lead gen, appointment setting, tips, cartoons

Poker Equity and Marketing II - Lead Equity Explained

Posted by Mike Damphousse


Ok, fair warning. If you are here for a two paragraph good marketing tip, you're in the wrong place. I'm deviating from my normal article style and getting down to some math. Geek Time!

Back in November I posted an article, Poker Equity and Marketing - Lead Equity. The topic got resurrected this week with the posting of my interview on the Funnelholic site, when a question from @chadhorenfeldt from Eloqua caused me to bring up Lead Equity. It lead to me reposting the original article, and then to my responding to several questions by email asking me to elaborate. So I figure I would write the missing part of the original article...the math behind the terms. Instead of thinking about the obvious success of a program, you will start thinking about the value of a lead as it contributes to the company. Let me explain.

Poker, for math geeks, is more of a science than a game, a gamble, or an art form. There is definitely the human aspect, just like in business, but a majority of poker decisions can be accurately made by simply understanding the math behind what you are investing and why you are investing it.

So how does this apply to lead gen/demand gen? What is Lead Equity? It is a mathematical application that helps explain why you should invest or pass (check, bet, or fold) on certain marketing programs, or how to compare one program to another. Your Lead Equity is, in simple terms, the amount of the average deal size that has already been earned by a specific lead. Using equity becomes an easy and intuitive way to make decisions in marketing, just as in poker.

Say for example we have a lead that has worked it's way from a purchased list, to a whitepaper campaign and they have requested a whitepaper. Total cost per lead at this point has been $150. You know that your average deal size is $20k, and with this type of lead you've measured historically that 5% over time convert to opportunities, and your sales team closes 25% of those deals. So your current lead equity is 5% x 25% x $20k, or more simply, $250. So this program has already earned $250 for a $150 investment. Good program. This measure makes for a nice KPI to add to your reports. Obvious and logical.

It's good to know our value of a lead at all stages in the funnel. But how should we incorporate this information into the management of a demand gen program? The reality is that you will never know the true outcome of moving a lead through the pipeline. But based on historical data and run rates, you can make reasonable assumptions that can be used to your advantage.

Let's look at a more detailed example. In this situation, a recent campaign is generating leads, but some of them (all from the financial vertical), according to the sales reps, are "terrible". Should you kill that vertical? Should you expand this campaign into other verticals? Should you invest into the markets where the reps stay happy?

Don't take the situation at face value.

So this program has leads being generated from multiple buyer types in different industries. The Technical Buyer from a the non-financial industry can be classified as Use Case A, and the Committe Buyer from the financial Industry can be classified as Use Case B (in poker, hand A and hand B).

Use Case A - This sales cycle is short. This type of lead converts to an opportunity 20% of the time. The opportunity has a close rate of 25% from the pipeline, and the average deal size is $75k. Your programs look very successful. The pipelines are full. Everyone is happy. Good rewards fast.

Use Case B - This second type of deal has a completely different outcome. Typically only 10% of the leads convert to an opportunity and the close rate is a miserable 15%. The projects go out to bid with RFP's. Decisions can take over a year. The decision makers are more committee driven. However, the deal sizes are large, they average $300k. From a high level, the lead conversion is a chore: the rep is always getting pressure because these deals get stuck in pipeline, are not as active, they never seem to close, and it appears to be not worth the effort.

From the outset, it seems as if the financial vertical is a bad investment. Your conversion rates don't look as good. The reps don't like the leads. Deals take way too long, they don't convert as frequently, and the reps would rather not work on them. In fact, one sales director repeatedly says "the financial leads should be trashed" on the weekly management call, which makes you feel as if you are not performing. It's a very unrewarding campaign. But let's look at the Lead Equity:

Lead Equity A - is 20% x 25% x $75k, or $3,750.

Lead Equity B - the runt of the marketing program litter, is 10% x 15% x 300k, or $4,500.

In the case of lead equity, the industry that your company thinks provides the hot leads are worth less overall than the bad leads. As in poker, sometimes the hand that looks like the dog is actually the hand you should bet on. You should expand that financial industry program. Could you change the whitepaper topic to still cover the same technical issues, but change the client reference to a financial client? This may resonate more with financial buyers and will increase the outcome even more. In poker, this is called "selling a hand".

ROI studies, how many months does a program take to pay for itself, may show a slightly different outcome. All KPIs can show different outcomes. Think about some other influences on your programs. Do you take pipeline momentum into account? Or how reps will react to the higher deal sizes being closed? Do prospects react differently to different messages or techniques? I could elaborate in this example as to the human aspect of the pipeline, but this really starts to tie in another aspect of poker and math into the equation, game theory. Blog article Part 3?

Tags: marketing, sales, demand, math, poker

Market Research, Freakonomics and the Butterfly Effect

Posted by Mike Damphousse

Do you trust the statistics you use when you are making marketing decisions? Yahoo recently published a research study claiming that "77% of consumers identify themselves as green."  They go on to state that "23% claim to be deeply committed to environmental issues," and that "71% have an interest in purchasing an environmentally sound car." And, that "72 percent saying they get (green) information in traditional media and 68 percent citing online," and tout portals as still being strong sources of information (of course).

Then there is one very important piece of data buried at the bottom, "respondents were recruited ONLINE." Could this possibly be tainted NOT to represent consumers as a whole? I think so. Online respondents could possibly be on the upper end of the economic scale, education, and already interested in green if they decided to respond to a green survey.

As a marketer, I dig through numbers all the time. Analyst reports, claims on blog articles, even conversational stats. Having taken a handful of probability and statistics courses, some market research courses, and having wanted to make a point or two with numbers myself in the past, I always look for the source. Knowing the source is like knowing the butterfly in the butterfly effect.

Stephen Dubner, one of the Freakonomics co-authors, stated in Global PR Week Blog, that, "The three things marketers can mainly learn from our book include

- realizing conventional wisdom is often wrong;
- dramatic effects often have distant, even subtle, causes; and,
- knowing what to measure and how to measure it makes a complicated world much less so.

But, keep in mind our methods in “Freakonomics” actually counter intuitive marketing thinking."

My message to marketers and analysts (especially the analysts since they publish most of the data), is when you're trying to make educated decisions and conclusions based upon numbers that figures don't lie, but liars can figure. Check your sources, and if you don't like the source, simply explain why and let others make their own conclusions.

Tags: marketing, drivel, green, economics, math, advertising

Poker Math and Marketing - Lead Equity

Posted by Mike Damphousse

I happen to enjoy poker tournaments and am a math geek poker player, which is a different breed. Part of winning in poker is understanding the equity of your hand. I'll bypass all the math and explain it in layman's terms. Basically it is the value of your hand as it relates to the investment you have made in it. I believe this applies to demand gen as well.

Most marketers do not spend enough time looking at the investment they make at each phase of the funnel. They look at stages and lead scoring, but are they looking at the value of a lead and a demand generation/lead nurturing program? As a lead moves through the process, it picks up overall investment value - call it "lead equity" (am I coining a phrase?). My question(s) to marketers is this: there are several techniques, services and sources that will bypass, or I should say, expedite, these higher levels of the lead nurturing process, is each stage of that process increasing the lead equity? Is each investment adding the expected value (EV) at each stage? Is the equity in a lead when it hits your opportunity pipeline higher with one method than another?

Services such as outsourced lead gen, appointment setting, lead brokering, or an inside sales team can provide one lead with high equity versus a hundred leads with little equity. We need to asses the value of the overall investment of each technique to the lead equity. Personally, I see a disproportionate investment in the highest levels of the funnel, which can result in low equity leads.

So back to poker. When we find a technique that provides a higher value than others, go all in!

Continued in part 2

Tags: marketing, demand, math, poker