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Sales Analytics

Date post: 18-Jan-2017
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Sales Analytics An Overview of Data Driven Performance Management
Transcript
Page 1: Sales Analytics

Sales AnalyticsAn Overview of Data Driven Performance Management

Page 2: Sales Analytics

2Why Measure?

• Discover actionable insights• Track growth and progress toward goals• Determine productivity and effectiveness• Identify best practices• Monitor profitability• Performance realignment• Resource allocation• Pricing or product modifications

Page 3: Sales Analytics

3What to Measure?

• Activities• Calls• Meeting/Visits• Presentations• Proposals

• Transactions• Deal size• Win rate• Cross or upselling• Recognized vs realized revenues

• Volume by• Channel• Location• Territory

• Leads• Source• Type• Response time• Conversions

• Pipeline• Amounts ($) / Counts (#) / Percentages (%)• Total and 30/60/90 Days• Stage in sales cycle• Age in pipeline and stage duration• Last contact• Potential deal value• Probability

Page 4: Sales Analytics

4How to Measure?

TimeHistorical time seriesCurrent PeriodPrior PeriodPrior Year PeriodYear-to-Date (YTD)Prior Year YTD% of Goal YTDPrior Year % of Goal YTD

Statistics ComparativesCountsAmountsPercentagesVariancesRatios

CharacteristicsProductGeographicSourceTransactionalCustomer segments

Page 5: Sales Analytics

5Where to Measure?

• Sales Team• Leads and pipeline• Activities• Completed transactions

• Marketing Department• Campaigns and lead generation

• Finance Department• Billings• Revenues received• Selling expenses• Commissions paid

Page 6: Sales Analytics

6Who to Measure?

• Internally• Sales Reps• Sales Managers• Sales Teams

• Externally• Customers• Prospects• Suspects• Former Customers

Page 7: Sales Analytics

7What Tools?

• Customer Relationship Management Software• Salesforce.com• MS Dynamics• Hubspot• Insightly• Zoho

• Data Analysis and Reporting Software• MS Excel and PowerPoint• Tableau• DOMO

Page 8: Sales Analytics

8Some Possible Pitfalls and Challenges?

• Sourcing, integration, and synthesis of data• Getting adoption and quality field data input from sales

teams• Timeliness of the process

• Inputs• Analysis• Reports and Insights

• Quality of the data and resulting insights

Page 9: Sales Analytics

9Thank You!This Slide Concludes This Introductory Overview

• For More Information, Please Contact George Sloane at:

• AnalyticDesignGuy.com website• LinkedIn• Twitter• Facebook• Google+• Slideshare• Goodreads

• Gmail: [email protected]• Phone: (203) 981-4488


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