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THOUGHT	
  LEADERSHIP	
  SERIES	
  
©2012	
  The	
  Naro	
  Group	
  
	
  
Taking the Guesswork Out
of Pipelines and Forecasts
	
  
	
  
	
  
	
  
	
  
	
  
Improve	
  Performance.	
  
Drive	
  Revenue.	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
About	
  The	
  Naro	
  Group	
  
The	
  Naro	
  Group	
  specializes	
  in	
  
helping	
  technology	
  companies	
  
capitalize	
  on	
  their	
  investment	
  
in	
  sales	
  process	
  and	
  sales	
  
training.	
  Contact	
  Jim	
  Naro,	
  
President,	
  by	
  email	
  at:	
  
jnaro@TheNaroGroup.com.	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
By Jim Naro, President of The Naro Group
Many sales executives have a laser-like focus on forecasts, as
they try to accurately predict what might close from quarter to
quarter. Key business decisions that affect the entire
corporation are made based on these numbers.
If the forecast is good, then new products can be funded, more staff added,
and healthy bonuses can be given out. If not, then the unavoidable becomes
a reality, with budget cuts and reductions in workforce. As everyone knows,
there is a lot riding on these numbers.
Unfortunately, even with sophisticated sales automation systems that are
available today, forecasting is more of an art than a science. Even after a
sales executive has spent copious time grilling sales people on whether the
deals in the pipeline are really going to close when predicted, it's still a bit of
a guessing game.
Simple Multipliers Just Don't Work.
Because pipelines are notoriously misleading, sales organizations have
typically adopted a variety of formulas for developing forecasts. Many sales
managers use a very simple multiplier and take advantage of the law of
large numbers to predict what revenue in a consolidated pipeline will close.
For instance, if there is an annual revenue goal of $100 million, some senior
sales executives believe that if they shoot for a pipeline of $300 million,
then they have a good chance of meeting their numbers for the year.
The problem with this formula is twofold. First, it leaves a lot up to "chance"
since it really is not based on any actual statistical information. And
secondly, it merely measures total volume, but it doesn't provide any
indication as to what stage an opportunity is currently at within a sales cycle
nor does it indicate when each particular sales deal will actually close.
Continued…
For	
  More	
  Sales	
  Insights	
  
Visit	
  the	
  Knowledge	
  Center	
  
at	
  www.TheNaroGroup.com	
  
for	
  more	
  sales	
  and	
  marketing	
  
transformation.	
  
	
  
 
	
  
2	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
Unless you have a benchmark or baseline of success to measure your actual
pipeline against, you can't really assess if your forecast is on target. This
leads to uncertainty, which will continue and even become more precarious
until you start developing a healthy pipeline that is more accurate,
predictable, and trustworthy.
A Self-Validating Process for Success.
A healthy pipeline is a precise and real representation of not only all the
sales activity in every sales person's pipeline, but also the distribution of the
revenue across each stage of the sales cycle. With pipeline data such as this,
you'll have a higher degree of accuracy and you will be better able to run
your business. As the reliability and predictability of the forecasts increase
even more over time, so will your revenue streams.
So What is the Key to a Healthy Pipeline?
It's very simple, really. A healthy pipeline has velocity, with sales deals
always moving. They are either continuously moving down the funnel
towards a predictable closing date, or if an opportunity has lost momentum,
it's qualified out of the sales pipeline altogether.
This kind of pipeline has self-validating principles at each step in the sales
process, with specific measures that help you understand not only where
the real opportunities are, but also how your sales people are performing
and what deals you can truly expect to close.
Velocity or Stagnation?
In most organizations, sales people typically have anything that has even a
smidgen of a chance of closing in their pipeline, even if the deals have been
in the funnel for months without any activity. This type of flush pipeline
provides a sense of security, so people rarely clean out these hopeful yet
misleading opportunities. This fact alone can be one of the biggest
inhibitors to a healthy pipeline and greater levels of sales productivity.
In a pipeline with velocity, there is a pre-established and agreed-upon
timetable for how long each stage of the sales cycle should take. This helps
keep real opportunities moving toward closure, and unless there are valid
reasons for an opportunity to remain in a certain stage beyond a pre-
determined time limit, opportunities that are stagnating are qualified out.
This type of self-validation helps scrub a pipeline and results in one that can
give you a truly predictable and reliable forecast.
Continued…
 
	
  
3	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
Clearing Away Time-Wasting Clutter.
When adopting a pipeline model that encourages velocity, sales people
often initially reduce their pipelines by 50%, as they clean out the things
that never were going to close anyways. While shocking at first, revenues
per sales person begin to quickly rise, with increases in productivity as high
as 100% as the people focus on the most important and probable
opportunities.
With a velocity pipeline, sales executives can more readily determine at
what level there are individual performance issues. This allows them to
quickly and effectively coach their sales people on the skills they need to fill
the pipeline accurately, whether it is with initial qualifying, customer needs
analysis, boardroom presentations, or actually closing the deal.
The Self-Validating Ideal Pipeline Model.
Customer Centric Selling (CCS) has developed an "Ideal Pipeline" model
which is based on the concept of velocity. This model not only takes into
account revenue volume, but also the distribution of revenue by milestone
(or process step) within the sales cycle.
Unlike a formula which uses a multiplier based on past sales volume for its
measurement, the Ideal Pipeline model includes the following parameters:
1. Annual Quota. This is the dollar revenue number for each sales
person.
2. Average sales cycles per year. This is the number of consecutive
sales cycles that could occur in a year. For instance, with a 6-month
(26-week) sales cycle would have two turns per year.
3. Milestones for your product or service. Every sales cycle, depending
on the product or service, has different milestones, or process steps,
from the identification of a prospect to the final closing negotiation.
For instance, a typical sales cycle may have these steps, when a
prospect shares his or her goals, finding a qualified champion,
product evaluation, cost/benefit analysis, and verbal commitment
to buy.
4. Length of time spent at each pipeline milestone. Each milestone can
be assigned an estimated allowance of time. For instance, the
evaluation of a sophisticated product might typically take 90 days
in a sales cycle that averages 6 months (180 days). This milestone
would then be assigned 50% of the sales cycle's allotted time.
Continued…
 
	
  
4	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
5. Probability of closure at each milestone. In the early stages of a
sales cycle, this most likely would be 10%, whereas in the final
stages of negotiation, the probability of an opportunity closing
would be 90%.
Based on the above parameters, the Ideal Pipeline formula then calculates
what the "ideal" volume should be at any given time in each step based on a
sales person's annual quota.
With this information, sales executives can then take a snapshot of the
actual revenue in a sale person's pipeline (which can be generated from a
CRM system, such as salesforce.com) and compare it against the Ideal
Pipeline, as the example below illustrates. Aging accounts can also be
included.
By examining the ideal and actual revenue at each step of the sales cycle,
sales executives can then gauge how a particular sales person is performing.
This will provide a much more accurate idea of what revenue can be
expected quarter by quarter, year by year.
Continued…
Milestone	
   G	
   C	
   E	
   B	
   V	
  
Process	
  Steps	
   Goal	
  Shared	
  
Qualified	
  
Champion	
  
Evaluating	
   Cost/Benefit	
  
Verbal	
  
Commit	
  
Time	
  spent	
  at	
  each	
  
milestone	
  
8%	
   17%	
   50%	
   17%	
   8%	
  
Sale	
  cycle	
  turns	
  per	
  
year	
  
2	
   2	
   2	
   2	
   2	
  
Probability	
  of	
  close	
   10%	
   25%	
   50%	
   75%	
   90%	
  
Length	
  of	
  time	
  at	
  
each	
  milestone	
  
0.417	
   0.333	
   0.500	
   0.111	
   0.046	
  
Annual	
  Quota	
   $2,600,000	
   $2,600,000	
   $2,600,000	
   $2,600,000	
   $2,600,000	
  
Ideal	
  Revenue	
  (At	
  
each	
  milestone)	
  
$1,082,900	
   $866,840	
   $1,300,000	
   $288,947	
   $120,322	
  
Actual	
  Revenue	
  
(Current)	
  
$116,533	
   $	
  70,200	
   $688,797	
   $249,727	
   $238,113	
  
Actual	
  Revenue	
  
(Aged)	
  
$132,022	
   $959,842	
   $675,519	
   $54,775	
   $19,571	
  
Total	
  Actual	
  
"Revenue"	
  
(Current	
  &	
  Aged)	
  
$248,555	
   $1,030,042	
   $1,364,316	
   $304,502	
   $257,684	
  
Difference	
   $834,643	
   $164,439	
   $64,315	
   $15,922	
   $138,917	
  
Ideal	
  %	
   23%	
   100%	
   100%	
   100%	
   100%	
  
Velocity	
  %	
  Score	
   47%	
   7%	
   50%	
   82%	
   92%	
  
 
	
  
5	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
Analyzing the data in this model provides managers with a macro view of
revenue in progress by milestone.
Together the ideal, actual aged, and actual current revenue provide an at-a-
glance view of where there are potential bottlenecks in terms of revenue
volume, distribution, and time-stalled opportunities.
In this example, for instance, it's evident that there are problem areas for
this sales person. As the color coded bars indicate, there are not enough
opportunities in Step G, and too many aging opportunities in Step C that
have exceeded the ideal timeframe for that step. This sales person is on
target for the last two phases of the sales cycle, but when those deals close,
it will be difficult to maintain quota because the overall velocity of the
pipeline has slowed down. This could lead to problems within the next
quarter or two.
A Pipeline in Action: Keep the Velocity Going.
Leveraging the Ideal Pipeline model helps a manager quickly determine
which sales people need coaching and guidance.
Continued…
 
	
  
6	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
	
  
The next step for the sales manager is to determine if these are pipeline
anomalies or skill problems and how aware a particular sales person is of
these issues. Objective pipeline debriefing questions will help the manager
determine where the sales person needs help in a particular skill area, and if
further analyses and debriefs at a particular process step are necessary.
After a debrief, a first-line sales manager should be able to answer the
following questions:
• What potential skills deficiencies are associated with these revenue
issues?
• Is coaching appropriate at this time, and in what manner?
• Is there a plan in place to address these skill issues?
With action steps like this, the Ideal Pipeline model quickly helps sales
executives build velocity in the pipelines and with that, comes the kind of
trust and reliability that builds successful businesses.
	
  Contact	
  Us	
  
Tel:	
  603.881.7712	
  	
  
www.TheNaroGroup.com	
  

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Taking the Guesswork out of Pipelines and Forecasts

  • 1.               THOUGHT  LEADERSHIP  SERIES   ©2012  The  Naro  Group     Taking the Guesswork Out of Pipelines and Forecasts             Improve  Performance.   Drive  Revenue.                           About  The  Naro  Group   The  Naro  Group  specializes  in   helping  technology  companies   capitalize  on  their  investment   in  sales  process  and  sales   training.  Contact  Jim  Naro,   President,  by  email  at:   jnaro@TheNaroGroup.com.                                                 By Jim Naro, President of The Naro Group Many sales executives have a laser-like focus on forecasts, as they try to accurately predict what might close from quarter to quarter. Key business decisions that affect the entire corporation are made based on these numbers. If the forecast is good, then new products can be funded, more staff added, and healthy bonuses can be given out. If not, then the unavoidable becomes a reality, with budget cuts and reductions in workforce. As everyone knows, there is a lot riding on these numbers. Unfortunately, even with sophisticated sales automation systems that are available today, forecasting is more of an art than a science. Even after a sales executive has spent copious time grilling sales people on whether the deals in the pipeline are really going to close when predicted, it's still a bit of a guessing game. Simple Multipliers Just Don't Work. Because pipelines are notoriously misleading, sales organizations have typically adopted a variety of formulas for developing forecasts. Many sales managers use a very simple multiplier and take advantage of the law of large numbers to predict what revenue in a consolidated pipeline will close. For instance, if there is an annual revenue goal of $100 million, some senior sales executives believe that if they shoot for a pipeline of $300 million, then they have a good chance of meeting their numbers for the year. The problem with this formula is twofold. First, it leaves a lot up to "chance" since it really is not based on any actual statistical information. And secondly, it merely measures total volume, but it doesn't provide any indication as to what stage an opportunity is currently at within a sales cycle nor does it indicate when each particular sales deal will actually close. Continued… For  More  Sales  Insights   Visit  the  Knowledge  Center   at  www.TheNaroGroup.com   for  more  sales  and  marketing   transformation.    
  • 2.     2                                                                                                     Unless you have a benchmark or baseline of success to measure your actual pipeline against, you can't really assess if your forecast is on target. This leads to uncertainty, which will continue and even become more precarious until you start developing a healthy pipeline that is more accurate, predictable, and trustworthy. A Self-Validating Process for Success. A healthy pipeline is a precise and real representation of not only all the sales activity in every sales person's pipeline, but also the distribution of the revenue across each stage of the sales cycle. With pipeline data such as this, you'll have a higher degree of accuracy and you will be better able to run your business. As the reliability and predictability of the forecasts increase even more over time, so will your revenue streams. So What is the Key to a Healthy Pipeline? It's very simple, really. A healthy pipeline has velocity, with sales deals always moving. They are either continuously moving down the funnel towards a predictable closing date, or if an opportunity has lost momentum, it's qualified out of the sales pipeline altogether. This kind of pipeline has self-validating principles at each step in the sales process, with specific measures that help you understand not only where the real opportunities are, but also how your sales people are performing and what deals you can truly expect to close. Velocity or Stagnation? In most organizations, sales people typically have anything that has even a smidgen of a chance of closing in their pipeline, even if the deals have been in the funnel for months without any activity. This type of flush pipeline provides a sense of security, so people rarely clean out these hopeful yet misleading opportunities. This fact alone can be one of the biggest inhibitors to a healthy pipeline and greater levels of sales productivity. In a pipeline with velocity, there is a pre-established and agreed-upon timetable for how long each stage of the sales cycle should take. This helps keep real opportunities moving toward closure, and unless there are valid reasons for an opportunity to remain in a certain stage beyond a pre- determined time limit, opportunities that are stagnating are qualified out. This type of self-validation helps scrub a pipeline and results in one that can give you a truly predictable and reliable forecast. Continued…
  • 3.     3                                                                                                     Clearing Away Time-Wasting Clutter. When adopting a pipeline model that encourages velocity, sales people often initially reduce their pipelines by 50%, as they clean out the things that never were going to close anyways. While shocking at first, revenues per sales person begin to quickly rise, with increases in productivity as high as 100% as the people focus on the most important and probable opportunities. With a velocity pipeline, sales executives can more readily determine at what level there are individual performance issues. This allows them to quickly and effectively coach their sales people on the skills they need to fill the pipeline accurately, whether it is with initial qualifying, customer needs analysis, boardroom presentations, or actually closing the deal. The Self-Validating Ideal Pipeline Model. Customer Centric Selling (CCS) has developed an "Ideal Pipeline" model which is based on the concept of velocity. This model not only takes into account revenue volume, but also the distribution of revenue by milestone (or process step) within the sales cycle. Unlike a formula which uses a multiplier based on past sales volume for its measurement, the Ideal Pipeline model includes the following parameters: 1. Annual Quota. This is the dollar revenue number for each sales person. 2. Average sales cycles per year. This is the number of consecutive sales cycles that could occur in a year. For instance, with a 6-month (26-week) sales cycle would have two turns per year. 3. Milestones for your product or service. Every sales cycle, depending on the product or service, has different milestones, or process steps, from the identification of a prospect to the final closing negotiation. For instance, a typical sales cycle may have these steps, when a prospect shares his or her goals, finding a qualified champion, product evaluation, cost/benefit analysis, and verbal commitment to buy. 4. Length of time spent at each pipeline milestone. Each milestone can be assigned an estimated allowance of time. For instance, the evaluation of a sophisticated product might typically take 90 days in a sales cycle that averages 6 months (180 days). This milestone would then be assigned 50% of the sales cycle's allotted time. Continued…
  • 4.     4                                                                                                     5. Probability of closure at each milestone. In the early stages of a sales cycle, this most likely would be 10%, whereas in the final stages of negotiation, the probability of an opportunity closing would be 90%. Based on the above parameters, the Ideal Pipeline formula then calculates what the "ideal" volume should be at any given time in each step based on a sales person's annual quota. With this information, sales executives can then take a snapshot of the actual revenue in a sale person's pipeline (which can be generated from a CRM system, such as salesforce.com) and compare it against the Ideal Pipeline, as the example below illustrates. Aging accounts can also be included. By examining the ideal and actual revenue at each step of the sales cycle, sales executives can then gauge how a particular sales person is performing. This will provide a much more accurate idea of what revenue can be expected quarter by quarter, year by year. Continued… Milestone   G   C   E   B   V   Process  Steps   Goal  Shared   Qualified   Champion   Evaluating   Cost/Benefit   Verbal   Commit   Time  spent  at  each   milestone   8%   17%   50%   17%   8%   Sale  cycle  turns  per   year   2   2   2   2   2   Probability  of  close   10%   25%   50%   75%   90%   Length  of  time  at   each  milestone   0.417   0.333   0.500   0.111   0.046   Annual  Quota   $2,600,000   $2,600,000   $2,600,000   $2,600,000   $2,600,000   Ideal  Revenue  (At   each  milestone)   $1,082,900   $866,840   $1,300,000   $288,947   $120,322   Actual  Revenue   (Current)   $116,533   $  70,200   $688,797   $249,727   $238,113   Actual  Revenue   (Aged)   $132,022   $959,842   $675,519   $54,775   $19,571   Total  Actual   "Revenue"   (Current  &  Aged)   $248,555   $1,030,042   $1,364,316   $304,502   $257,684   Difference   $834,643   $164,439   $64,315   $15,922   $138,917   Ideal  %   23%   100%   100%   100%   100%   Velocity  %  Score   47%   7%   50%   82%   92%  
  • 5.     5                                                                                                     Analyzing the data in this model provides managers with a macro view of revenue in progress by milestone. Together the ideal, actual aged, and actual current revenue provide an at-a- glance view of where there are potential bottlenecks in terms of revenue volume, distribution, and time-stalled opportunities. In this example, for instance, it's evident that there are problem areas for this sales person. As the color coded bars indicate, there are not enough opportunities in Step G, and too many aging opportunities in Step C that have exceeded the ideal timeframe for that step. This sales person is on target for the last two phases of the sales cycle, but when those deals close, it will be difficult to maintain quota because the overall velocity of the pipeline has slowed down. This could lead to problems within the next quarter or two. A Pipeline in Action: Keep the Velocity Going. Leveraging the Ideal Pipeline model helps a manager quickly determine which sales people need coaching and guidance. Continued…
  • 6.     6                                                                                     The next step for the sales manager is to determine if these are pipeline anomalies or skill problems and how aware a particular sales person is of these issues. Objective pipeline debriefing questions will help the manager determine where the sales person needs help in a particular skill area, and if further analyses and debriefs at a particular process step are necessary. After a debrief, a first-line sales manager should be able to answer the following questions: • What potential skills deficiencies are associated with these revenue issues? • Is coaching appropriate at this time, and in what manner? • Is there a plan in place to address these skill issues? With action steps like this, the Ideal Pipeline model quickly helps sales executives build velocity in the pipelines and with that, comes the kind of trust and reliability that builds successful businesses.  Contact  Us   Tel:  603.881.7712     www.TheNaroGroup.com