PI Blog: Sales and Competitive Intelligence
Advice for sales, marketing & product management success
Archive for September 2009
Double Response Rates for Your Win Loss Analysis Program
by Ken Allred, September 23, 2009
Imagine that you’ve just learned that a prospect has elected to go with the competitions solution instead of yours. Your sales team did everything they could to understand the prospects needs and build the relationship. Your product managers and marketing executives provided excellent support as well as thorough well-thought out responses to all the prospects product-related questions. The demonstration of your solution went exceptionally well. Management was actively following the opportunity, and everyone thought you were going to win. The deal was an important one because of who the prospect was, or the absolute size of the deal, or the industry the prospect was in, or a combination of these things.
Now everyone wants to know why you lost.
Your prospect just selected the competition, and youve been tasked with calling the decision makers to find out exactly what happened and learn everything you can about why they chose the competition.
You spend the next three weeks leaving messages, but they dont call you back, or you catch them live on the phone, but they don’t have time to answer your questions. Now what?
One of the constant challenges that we face in the execution of win loss analysis is maximizing response rates or participation rates. That challenge is even greater in this type of market research because sample is limited and you only have a finite number of competitive wins and losses you can study. If we aren’t able to get them to participate, it is a missed learning opportunity that we cant necessarily duplicate.
The example above is probably one youre familiar with if you are involved with your companys win loss program. The question becomes, How can we increase our response rates?
At Primary Intelligence, we spend a lot of time and resources addressing this very question. There are quite a few things we do to increase participation rates for our customers, but one of the most important practices we have identified is to create and utilize what we call introduction notes. These are notes that introduce why you want to talk to the decision maker and what you are hoping to accomplish. While the content of this note is very important to improving response rates, who this note ultimately comes from can be even more important than the words you use . There are three potential options when it comes to deciding who the introduction note will come from:
- From a key executive (higher the better, with CEO being best)
- From the sales representative responsible for the deal
- From you
To successfully implement this practice, you will need to choose which of these three options will work best for your situation and then create two introduction note templatesone for your wins and one for your losses. If you analyze your no decision deals, you will want a different introduction note for that as well.
The introduction note really helps remove the surprise attack feeling that decision makers can get when you are cold calling them to do a debrief of their purchase decision. Cold calling a decision maker is a lot like the solicitor that knocks on your dooryou open the door expecting someone you know and instead get a complete stranger that wants to wash your windows or aerate your lawn. Surprising a decision maker is a sure way to kill response rates for your win loss analysis program.
There are five key elements to include in the introduction note that you will send on behalf of an executive, the sales representative, or yourself:
- Introduce the executive, the sales rep or yourself at the beginning of the note
- Introduce the purpose of the e-mailto understand how you can improve
- Ask them to be candid and forthcomingwe learn the most from our mistakes
- Identify the amount of time youll need for the interviewbe specific and honest here
- Let them know when you plan on calling to schedule the interview at their convenience
Even though there are a lot of elements you need to include, it is important that you keep your note brief and to the point. For these notes, straightforward information and a simple request will be your most persuasive argument.
Introduction Note from Key Executive
This is your best option for improving participation rates. You can send the e-mail on behalf of the executive, but you will want the executive to understand what youre doing and have him or her sign off on the processas they could get replies from decision makers and they will need to be in a position to respond to those replies. C-level executive sponsorship will do wonders for increasing response rates, with the CEO being the best possible option.
This approach is easiest if you have a direct executive sponsor. You will be sending the e-mail on behalf of the executive you ultimately get to sponsor your efforts. This way, you have complete control over the process and your efforts wont be held up by the executives busy schedule.
When you have an executive sponsor, you will want to emphasize to respondents that they can reach out to the executive if they have any questions or concerns. Make sure your executive is prepared for this situation, as it can really have a positive impact on decision makers when they see your companys commitment to them and improving your solution to meet their needs.
Introduction Note from Responsible Sales Representative
If you cant get an executive sponsor, the next best solution is to involve sales in the win loss analysis process. An important distinction here is that the sales rep responsible for the deal should not be doing the interview with decision makers. Decision makers will filter out information they perceive to be negative if the sales representative is the one doing the interview with them. See my post on sales-derived versus decision maker-derived win loss analysis for more on this topic.
In order to get sales support, you will likely have to overcome some natural anxiety that the sales representative will have with you contacting the people they were selling to. You will want to reinforce that this process is to identify areas for improvementto help them sell moreand not a witch hunt. Dont be too hard on your sales repsimagine how you would feel if someone said they were going to come in and analyze how you were doing your job. Its natural for them to feel some discomfort, but once they see the results of your efforts and how you intend to leverage those results, this discomfort and anxiety should fade away.
You will want to send the e-mail on behalf of the sales representative so that you can control the process, although we have quite a few customers that have their sales representatives send the introduction notes directly. A sales representative introduction note differs in a few ways from an executive introduction note. You will want to add the following elements to your sales introduction notes:
- Reinforce that you are not trying to re-engage the sales process (applies to losses and no decisions)
- Make the request for a debrief a personal request on behalf of the sales repleverage the relationship the sales person has with them
Introduction Note From You
If you are utilizing this method it means that you werent able to get executive sponsorship or sales support in your efforts to review why you are winning and losing. Dont worry, you can overcome this lack of sponsorship and sales support by pressing forward and gathering actionable data that you can share with both executives and sales. Utilize the data to accomplish your objectives, but dont be selfish with it. Share the data with everyone you think could benefit from it, including the CEO (trust me, these guys are ALWAYS interested in why you are winning and losing), product management, product marketing, sales support, sales management, marketing, and sales representatives. In our experience, it only takes sharing a couple of reviewed opportunities (especially losses) before both executives and sales will recognize the value of the intelligence and get on board with the program. However, this cant happen if you arent sharing the dataIve seen too many cases where this valuable intelligence isnt shared across the organization.
The most important thing to remember about introduction notes that are coming from you is that you are letting the decision maker know why you want to talk to them and removing that surprise element. Practicing this will improve your response rates, but your real goal is to upgrade your program to the executive-level introduction notes or the sales representative introduction notes.
Sample Introduction Note Templates
Over the years, Primary Intelligence has created many of the three types of introduction notes I described above. We have spent a lot of time and effort in creating notes that will elicit the kind of response we need to be successful. If you would like a template for one of these introduction note types, send me an e-mail with the template you are interested in and Ill send you a sample of what were currently using to help move you along with this best practice.
About the Author: Ken Allred, Founder and CEO of Primary Intelligence, is a thought leader in SaaS-based sales intelligence, analytics and sales enablement solutions. He is committed to the optimization of sales, marketing and product management teams through the implementation of advanced Sales 2.0 intelligence solutions.
More on Product Management Metrics
by Ken Allred, September 8, 2009
This post continues our ongoing discussion about product management metrics. To catch up on the discussion thus far, youll want to review Saeeds post on product managements mandate and my post on two examples of key product management metrics. The lively conversation about product management metrics got me thinking about good metrics and bad metrics and how to tell the difference.
There are four key aspects we should use to evaluate a potential metric:
- Do product managers have influence on the factor being measured (Do they have enough control over the factor to significantly affect it)?
- Is the metric a predictor of success?
- Is the metric actionable?
- Can you tie compensation to the metric?
The four criteria above can help you evaluate any metric you may be considering and give you an idea of their potential effectiveness. Unfortunately, there is such a thing as a bad metric, and there is a very real risk to your strategic objectives if you measure the wrong thing. A bad metric will cause you to focus on the wrong thingsyou may be successful in that metric, but you will ultimately miss the mark. However, a good metric that meets the criteria above can be a powerful motivator and an incredible tool.
There has been a lot of debate that if a person doesn’t have complete control of the thing being measured they shouldn’t be held accountable for itor it shouldn’t be a metric used to monitor their success. While I agree that the more control a person has over the thing being measured the better, my experience has taught me that if the person can exert significant influence on the thing being measured, even if they don’t have complete control, it can still be a fantastic metric if the other three factors can also be met (actionable, predictor and compensation tied to it).
After the influence test, the next important test of a metric is to ask yourself if performing well in this metric will lead to success 100 percent of the timeis the metric a predictor of success? If you can perform well in a given metric, but still fail at your strategic objective, then you need a better metric.
The third key test of a metric is to ask yourself if you can determine specific actions to take based on the metricis the metric itself actionable? Can you look at a metric at any given point in time and see specific actions you can take to improve in that metric? If you can’t, the metric isn’t actionable and you need a better metric.
And the last test, and one of my favorites, is whether or not you can tie compensation, or a portion of compensation to the metric. This isn’t absolutely a requirementthe other three tests are the most important when it comes to identifying good metricsbut if you can tie compensation to the metric, “you’ll be cooking with gas” as a buddy of mine likes to say.
In my experience running Primary Intelligence, we have implemented, monitored and then discarded so many different metrics for every role in the organization that it would be difficult to list them all. The one thing I’ve learned from this exercise is that internal metrics (activity-based), while interesting, will never measure up to external metrics (results-based)the metrics that directly measure, without ambiguity, our progress towards our strategic objectives. In the case of product management, we have already defined the strategic objective as “optimizing the business at a product, product line, or product portfolio level over the product lifecycle.”
In my previous post, I recommended two potential metrics we could use to measure our effectiveness as product managers:
- Product performance versus customer problems
- Product performance versus competitors’ product performance
I’m still inclined to use these two metrics because I believe they meet the four tests described above, they’re results-based metrics, and they have significant impact on the three drivers of revenue:
| Revenue Drivers | Product Performance |
|---|---|
| A prospect’s likelihood of purchasing our product | The probability that a customer buys our product directly correlates with how well they perceive our product will solve their problems |
| A customer’s likelihood of renewing, or purchasing more of our product | The probability that a customer renews with us directly correlates with how well our product actually solves their problems |
| A customer’s likelihood of recommending our product to a friend | The probability that a customer recommends us directly correlates with how well our product solves their problems |
I also believe that these two metrics are relatively easy to monitor using product management activities that are already (or should be) part of our process: talking to customers and evaluators.
This is the approach that I am using to set these metrics up for our own organization:
- Identify the key problems/business needs that our product solves for our customers
- Identify the product features that solve, or help solve, a specific customer problem (repeat for each key problem)
- Ask the customer to rate our performance in those features (talking to customers)
- Ask the customer to rate our performance and our competitors’ performance in those features (talking to evaluators)
- Track these metrics over time (probably quarterly)
The first step is probably the most important, as we have to make sure that we’re solving the right problems for our customers the problems they’re willing to pay for. For each key problem we want to solve for our customers, we need to identify the major features, or feature categories that help solve this problem for our customer.
For example, one of the key problem categories that we solve for our customers is their need for actionable, real-time competitive intelligence. Now that I’ve identified this problem, I have to examine our product for the key features that help solve this problem. The partial list that I came up with looked like this:
- Real-time competitor SWOT analysis
- Role-based CI dashboards
- Reporting capabilities
- Competitor pricing analysis
Once I have the key features identified, I am ready to measure the performance of our product in solving this specific problem for our customers. I do this through two types of interviewing:
- Talking to customers through customer satisfaction interviews or impromptu customer interviews
- Talking to evaluators in recent competitive wins and lossesour win loss analysis program
Performing this analysis can lead me to create a flow chart based on our performance scores that looks something like the following:

Additionally, I can create a similar flow chart to compare our performance versus each of our primary competitors’ product performance that would look something like the following:

Let’s ask the tough questions about these two metrics now:
Do we as product managers have enough control or influence over these two areas we will be measuring? I think we do. Do others affect these metrics? Absolutelybut I don’t think that should be used as an argument against these metrics because our mandate as product managers is to build products that solve problems customers are willing to pay for. Sales, marketing and support all play important parts in this, but product managers really are the foundation. If we have the foundation right, we can help fix sales, marketing and support problems that may be negatively affecting our metrics.
Will these metrics predict our success in optimizing our products over the product life-cycle? I think they will. The better we are at solving problems customers will pay for, the higher these metrics will be and the more likely we will be to meet our strategic product management objectives.
Can I look at these metrics and immediately identify specific actions to take to improve them? I think we can. The great thing about these metrics is they immediately identify both risks and opportunities that we can act on.
Can we tie compensation to these metrics? As the CEO, I can tell you that these are exactly the type of metrics I would want to tie compensation to.
The key to implementing these metrics is making sure that I am carefully aligning my product managers to focus on the most important thing they can do to impact our businessanalyzing and improving how well we are solving our customers’ problems.
About the Author: Ken Allred, Founder and CEO of Primary Intelligence, is a thought leader in SaaS-based sales intelligence, analytics and sales enablement solutions. He is committed to the optimization of sales, marketing and product management teams through the implementation of advanced Sales 2.0 intelligence solutions.
Two Key Product Management Metrics
by Ken Allred, September 4, 2009
Saeed, in his blog post at On Product Management, posited the question, why is it difficult to measure the value and contribution of product management? To help us focus on the right metrics, he defined Product Management’s mandate as:
“Product Management’s mandate is to optimize the business at a product, product line, or product portfolio level over the product lifecycle.”
This is a great question and his definition of the Product Management’s mandate really got me thinking.
Webster’s definition of “optimize” is to make perfect, effective, or as functional as possible.
That means that the product manager’s mandate is to make the product as perfect (or effective) as they possibly can. If we then define a “perfect product” as completely solving our customers’ problem, I think we can start to think of creative ways to measure how well were accomplishing this mandate.
So, what are some of the ways we could measure how well we are solving our customers’ problems?
Product features or internal performance benchmarking? While I do think that measuring the internal aspects of product management is important, I would propose that measuring the actual results of product management is much more vital.
How about how much revenue the product is producing? Product revenue is certainly a result of our efforts in product management and certainly a good thing to monitor, but it probably isnt the best way to measure product management performance, as there are so many factors that are beyond the control of a product manager: sales process, sales channel, sales effectiveness, marketing strategy, marketing budget, etc. All of these factors will have a significant impact (negative and positive) on product revenue.
Instead of looking at these, I would propose two key metrics to measure your effectiveness in achieving the product optimization goal:
- Your product performance versus customer problems
- Your product performance versus competitors’ product performance
The first metric allows us to measure how well our solution is solving our customers problems. It will also allow us to identify gaps in our features and identify areas that need improvement all in an effort to “more perfectly” solve the customers’ problem.
The second metric is important because it allows us to see how well we’re doing as product managers in making sure our products are superior to the competitions’ products. This is only important insomuch that we define being superior to the competition as being able to solve customers’ problems better than the competitions’ solutions.
Measuring the first metric without measuring the second is a lot like a sprinter running a race and never checking in to see where the other runners are during the racethey just keep their eye on the finish line. You can still win races this way, but its a lot easier for your competition to sneak up and overtake you if you’re not monitoring their progress. You can be sure they’re keeping their eye on you.
If I’m measuring and monitoring these two areasthe ongoing results of my product management effortschances are the other things like product revenue, market share, sales enablement and bottom-line results are going to be meeting or exceeding expectations.
Im really looking forward to Saeeds follow-up post to see what kind of metrics he comes up with. What do you think? Are these two metrics that product managers should be monitoring? Or, are there others that are more important for determining the perfection of your solution?
About the Author: Ken Allred, Founder and CEO of Primary Intelligence, is a thought leader in SaaS-based sales intelligence, analytics and sales enablement solutions. He is committed to the optimization of sales, marketing and product management teams through the implementation of advanced Sales 2.0 intelligence solutions.
- Mark Larson (December 30th, 2009 at 10:38 pm)
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- Sue Massey (September 1st, 2009 at 11:31 am)
I found your site on Google and read a few of your other entires. Nice Stuff. I'm looking ...


In order to create a customer-driven product development process, we must be consistently listening to our market to identify and validate the key customer problems that our solution will solve and measure how well our solution is solving those problems.
This process allows me to understand the big picture for our target markets, and analyzing the way each customer communicates their problems gives me fantastic insight into areas that we can/should be focusing on to better meet the needs of our customers. It is comments like the following that help me frame the newly identified customer problem of improving a current win loss analysis program:
To marketplace in terms of quality rather than price, and in order to specialise accordingly, you need to observe the ...