The Art and Science of Sales Forecasting: A Webinar for Sales Managers and Company Leaders
Transcript of The Art and Science of Sales Forecasting: A Webinar for Sales Managers and Company Leaders
The Art and Science of Sales Forecasting:A Webinar for Sales Managers and
Company Leaders
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Please send questions using the online interface
Attendees muted upon entry
Webinar Notes
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Featured Speakers
Steve MartinAuthor, HBR Contributor & Thought Leader in Technology Sales
Brian McCarthyVice PresidentSalesBirst
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Agenda
Birst Overview of Sales Forecasting
The Art and Science of Sales Forecasting
Demo
Q&A
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Sales Forecasting overview
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Improving sales forecasting requires advanced analysis – across multitude of areas
Historical Ratesaverage win rates based on opportunity stage and
days into the quarter
Rep Performancehiring cohort, territory, ramped status, tenure,
etc.
Upsells customer satisfaction levels, product, sales
channel, etc.
Deal Characteristics
buyer activity, industry, compelling events,
movement, competitor, etc.
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... and data from multiple sources, analyzed over time and in context of different business roles
VP SalesSales Managers
Sales Reps
CFOVP Marketing
VP HR
VP of Services / SupportCustomer Success
Management / Rep Forecast
Booking per Product
Discounts Ratio to Deal Size
Compelling Events
Buyer Behavior
% of Quota Achieved
Deals Won vs. Competition
Birst Cloud BI and Analytics• White space analysis, upsell, … • Pipeline movement, velocity, …
• Rep performance on forecast, ….• Deal Scoring by buyer behavior, events, competition, …
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Steve W. Martin’s slides
www.stevewmartin.comSteve W. Martin Copyright 2015 May not be copied without written consent
About Steve W. Martin…
Sales Training
Win-Loss Analysisand Sales Effectiveness Consulting
Sales Performance Research
www.stevewmartin.com
Heavy Hitter Book Series
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Sales Forecasting Challenges
Salesperson Company
MacroCustomer
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Sales Cycle Complexity Forecasting Challenges
Lower Complexity
Higher Complexity
Point-Specific Sales
Platform Based Sales
Enterprise Sales
Forecasting Complexity
ForecastingForecastingFrom the SalespersonFrom the Salesperson
PerspectivePerspective
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Sales Research
High Performing Salespeople Research
Forecasting Research
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The Sales Process
Network Communications Company
Advertising Agency
Services Company Software Company
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What is the Forecast? Sales Rep Perspective
Unqualified Prospect
Initial Communication
First Call
Develop Solution
Present Solution
Customer Evaluation
Present Proposal
Verbal Commitment
Negotiation
Contract Process
Signed Contracts
Sales Process Weighting Factor
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
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Take the Test: Sandbaggers, Heavy Hitters, and Exaggerators
Which of these statements describes your forecasting philosophy best: A) I prefer to under-commit and then over deliver results
B) I constantly analyze my forecast and strive for perfection
C) I sometimes tend to be a little too optimistic
25%
56% 19%
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Optimism Versus Pessimism
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Forecasting Research
At the end of the past two quarters, my forecast was:
3/31 12/31 11% 8% Significantly lower than the actual revenue number 22% 15% Slightly lower than the actual revenue number 41% 44% Very close to the actual revenue number 22% 25% Slightly above the actual revenue number 4% 8% Significantly above the actual revenue number
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Forecasting Research
26 - 50 Hours
50+ Hours
22%
8%
32%
38%11 – 25 Hours
1 – 10 Hours
How many hours do you spend calculating, revising, and confirming your forecast during the quarter?
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High Performing Salespeople Research
0 20 40 60 80
Salespeople <75%
Salespeople 100%+
Salespeople <75%
Salespeople 100%+
Salespeople <75%
Salespeople 100%+
What describes your use of internal systems?
I am a power user who takes full advantage of my company’s
technology and internal systems
I am knowledgeable about my company’s internal systems and
use them frequently
I only use our company’s technology and internal systems
because I have to
Percentage of responses
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Forecasting Research
Rate how accurate your revenue prediction is at these moments on a scale of 1 (low accuracy) to 5 (high accuracy)
Day 30 Day 60
Day 75 Day 90
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Forecasting Research
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Product Fit QuestionsStandard Business
Qualification QuestionsStandard Questions
About Selection Process
Formal and Intuitive Qualification
Product Fit QuestionsStandard Business
Qualification QuestionsStandard Questions
About Selection Process
SpecificationsFeatures & Functions
Business BenefitsROI
Information PresentedInformation Gathered Via
Formal Qualification
Triangulation TechniquesSalesperson IntuitionSales Cycle Patterns
Personal Relationshipsand Internal Coaches
Information UncoveredIntuitive Qualification
Biases & Favored VendorPersonal Agendas
Standing in AccountCompetitor’s Actions
What to do Next and What to Watch Out For
Techniques forIntuitive Qualification
The Logic of Selling
The Human Nature of Selling
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Forecasting Research
My forecast is based upon ____% Logic and ___ % Intuition
20% Logic - 80% Intuition
30% Logic - 70% Intuition
40% Logic - 60% Intuition
50% Logic - 50% Intuition
60% Logic - 40% Intuition
70% Logic - 30% Intuition
80% Logic - 20% Intuition
90% Logic - 10% Intuition
100% Logic
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High Performing Salespeople Research
How many years have you been in sales?
Over the course of my career, I estimate that I have made the quota I was assigned ___ % of time
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High Performing Salespeople Research
Daily – all the time
Frequently – multiple times a week
Once in a while – once or twice a week
Infrequently - a few times every couple of weeks or
month
Percentage of responses
How often are you in contact with your sales manager?
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Research: High Performing Salespeople
Most Important
Least Important
ForecastingForecastingFrom the Sales From the Sales ManagementManagementPerspectivePerspective
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High Performing Sales Organization Research
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Forecasting Types: Intra-Department Forecasting
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Nonexistent
Well-documented (written)
Closely monitored
Informal
Strictly enforced
Percentage of responses
How Structured is Your Organization’s Sales Process?
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Forecasting Type: Snapshot Forecasting
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At your Organization, Salespeople are Consistently Measured Against their Quota and Held Accountable
Strongly agree
Neither agreenor disagree
Disagree
Strongly disagree
Agree
Percentage of responses
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Forecasting Type: Inter-department
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Deal Inspection: Measuring Account Control
Rapport
Low High
High
Low
Deal Information
Competitive
Competitive
Account Control
Blind
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When the Purchase Decision is Actually Made
“The company that we were leaning toward at the beginning came out on top.”
“There was a company that I liked at the beginning and we were just not going to give it to them. So we went through the whole procedure making sure all the boxes were checked off by a panel of people.”
“Our favorite came through.”
“It was down to the wire, the other vendor had equally much experience and similar capability.”
“Based on a number of factors, yes, we had a favorite vendor going in and they won.”
“It became apparent quickly that it would be a two horse race.”
When did you realize what solution youWanted to buy?
Early in theSales cycle
In the middle of theSales cycle
At the end of theSales cycle
30% 25%
45%
Win-Loss Analysis Comments
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High Performing Salespeople Research
When working on a new account, when are you likely to lose during the sales cycle?
Early in the sales cycle
Middle of the sales cycle
Near the end of the sales cycle
Percentage of responses
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Win-Loss Research – Turning Point Recognition
Time Investment
Cust
om
er
Com
mit
ment
to
Solu
tion
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Final Advice…
Salesperson
Too Nebulous Too Granular
Your Sales Process
Forecast Amnesty Win-Loss Analysis From the Customer’s Perspective…
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BirstSales Analytics
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Birst Offerings in Sales Analytics
• Sales Analytics Accelerator for Salesforce
– Pre-built data model, reports & dashboards
• Sales Forecasting Solution• Connectors
– Salesforce.com, Oracle CRM, Netsuite, SAP, Eloqua, Marketo, Google Analytics, and many more…
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Demo
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Learn more
• Learn more about Birst– www.birst.com
– Live Demo: www.birst.com/livedemo Every Tue/Thu at 11 AM PT
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Thanks