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1Copyright © 2015 Vistex, Inc. Proprietary and confidential. All rights reserved.
Channel
Analytics
Rob Ford - Director of Analytics
March 27, 2015
Capabilities
2Copyright © 2015 Vistex, Inc. Proprietary and confidential. All rights reserved.
Agenda
Introductions
Enterprise data and the challenges we face
Approach
 Assess lifetime value
 Benchmark performance
 Monitor and drive results with scorecard
3Copyright © 2015 Vistex, Inc. Proprietary and confidential. All rights reserved.
Go-To-Market Analytics
4Copyright © 2015 Vistex, Inc. Proprietary and confidential. All rights reserved.
Questions clients are asking
Who are our most valuable customers?
Which of my customers are at risk to churn?
Are our GTM programs actually driving the
right outcome?
Am I spending too much on incentives?
Can we measure improvements in
operational efficiency?
How do operational improvements translate
to revenue growth?
5Copyright © 2015 Vistex, Inc. Proprietary and confidential. All rights reserved.
How do I assesses the value of my customers?
What it’s called: What it is: What it tells you:
Revenue MetaScore
(MVS)
Customer lifetime value The best predictor of
which incentives impact
general business
performance
Recency Value Score
(RVS)
Index of which
customers purchased
most recently
The best predictor of
future churn rate
Frequency Value Score
(AVS)
Index of which
customers most
frequently purchase
your product, service or
brand
A good predictor of new
customer growth
Purchasing Value Score
(PVS)
Index of which
customers purchased
the most
The best predictor of
overall revenue growth
6Copyright © 2015 Vistex, Inc. Proprietary and confidential. All rights reserved.
Prescribe
(what
actions
should be
taken)
Predict
(what’s
likely to
happen)
Forecast
(what
might
happen)
Monitor
(what’s
happening
now)
Analysis
(why it
happened)
Reporting
(what
happened)
Quantity
What is channel spend by partner tier?
How many Partners do we need?
What are projected revenues/partner?
Behavior
Who are my best partners?
What are they most likely to purchase?
Optimal
What is the impact and lift on sales incentives?
Potential outcomes based on complex interactions
Complexity
Low
High
HighValue to Business
Analytics available for real world applications
7Copyright © 2015 Vistex, Inc. Proprietary and confidential. All rights reserved.
Data
Intuitively discover patterns and optimize results
8Copyright © 2015 Vistex, Inc. Proprietary and confidential. All rights reserved.
Aggregating Data
Data
Warehouse
Sales
Transactions
(POS)
Excel Data
Warehouse
Reporting
Data
Marts
Text
Files
Blended
Query
Results
Query
Results
Goal – Bring data into a
single span of control and
evaluation that allows a view
into the impact of variables
on channel performance
How – With data blending
the underlying enterprise
data stores can be queried
and the results combined at
a more aggregate level to
Action – Quickly provide
trusted directional results.
Obviate the need for costly
data integration within the
data stores themselves.
9Copyright © 2015 Vistex, Inc. Proprietary and confidential. All rights reserved.
Benchmark current program performance
Goal – Establish current
topline results drivers,
craft KPIs around these
drivers so that after
programs are more
optimized progress can
be measured
How – Determine what
factors have the highest
correlation with revenue
outcomes
Action – Identify the
drivers by program,
incentive spend and
regional configuration
that correlate with
results
10Copyright © 2015 Vistex, Inc. Proprietary and confidential. All rights reserved.
Assess partner lifetime value
Goal – Spend incentive
dollars on partners with
higher lifetime value,
established -> growth
How – Analyze partner
transactions +
engagement
Action – Target
investment, consolidate
to reduce touch points,
Detailed account review
to drive allocation and
improvement.
• PLV Score
• Churn Probability,
• Recency, Frequency,
Monetary
• Expected lifetime value
• http://j.mp/1LfD6LF
11Copyright © 2015 Vistex, Inc. Proprietary and confidential. All rights reserved.
OverspendOpportunities
Tier 1-Tier 3
Focus: Investment by Revenue Tier
12Copyright © 2015 Vistex, Inc. Proprietary and confidential. All rights reserved.
Focus: Target investment by program, region and tier lift
Lift =
𝐴𝑛𝑎𝑙𝑦𝑠𝑖𝑠 𝐺𝑟𝑜𝑢𝑝
𝑀𝑎𝑡𝑐ℎ𝑒𝑑 𝐶𝑜𝑛𝑡𝑟𝑜𝑙 𝐺𝑟𝑜𝑢𝑝
=
( 𝐴𝐺 𝑅𝑒𝑣 Δ 𝑃𝐴 − 𝐴𝐺 𝐼𝑛𝑐 Δ 𝑃𝐴 )
( 𝑀𝐶 𝑅𝑒𝑣 Δ 𝑃𝐴 −[𝑀𝐶 𝐼𝑛𝑐 Δ 𝑃𝐴])
Goal
Calculate the lift associated with
incentives and their combinations
prioritize by revenue, identify high
performance areas
How
Analyze partner transactions +
engagement, Simulate scenarios
using
“what-if” analysis, reallocating
budget in different
proportions and seeing the direct
impact on sales/value
Action
Shift investment, consolidate to
reduce touch points, Detailed
account review to drive allocation
and improvement.
13Copyright © 2015 Vistex, Inc. Proprietary and confidential. All rights reserved.
Isolate effects of programs & feedback loop
Goal
Spend incentive dollars
on partners with higher
lifetime value,
established -> growth
How
Analyze partner
transactions +
engagement
Action
Target investment,
consolidate to reduce
touch points, Detailed
account review to drive
allocation and
improvement.
14Copyright © 2015 Vistex, Inc. Proprietary and confidential. All rights reserved.
Partner Score Cards
Challenge - Manually
intensive process that
limits scope of the
strategic analysis
Solution - Link the
data to automate and
scale process
Value - Improved
insight and drill-down
into the success
drivers of events
Drive a range of
improvements to
incentives, campaign
management,
strategic business
planning.
15Copyright © 2015 Vistex, Inc. Proprietary and confidential. All rights reserved.
Key take-aways
Engage with Strategic Services early!
Assess lifetime value
Benchmark performance
Monitor and drive results with scorecard
16Copyright © 2015 Vistex, Inc. Proprietary and confidential. All rights reserved.
Process-based Project Management
17Copyright © 2015 Vistex, Inc. Proprietary and confidential. All rights reserved.
Copyright: Vistex®, Go-to-Market Suite®, and other Vistex, Inc. graphics, logos, and service names
are trademarks, registered trademarks or trade dress of Vistex, Inc. in the United States and/or other
countries. No part of this publication may be reproduced or transmitted in any form or for any
purpose without the expressed written permission of Vistex, Inc. The information contained herein
may be changed without prior notice. © Copyright 2015 Vistex, Inc. All rights reserved.
Dale.Taormino@Vistex.com
William.Gilsing@Vistex.com

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Channel Analytics and Customer Lifetime Value Assessment

  • 1. 1Copyright © 2015 Vistex, Inc. Proprietary and confidential. All rights reserved. Channel Analytics Rob Ford - Director of Analytics March 27, 2015 Capabilities
  • 2. 2Copyright © 2015 Vistex, Inc. Proprietary and confidential. All rights reserved. Agenda Introductions Enterprise data and the challenges we face Approach  Assess lifetime value  Benchmark performance  Monitor and drive results with scorecard
  • 3. 3Copyright © 2015 Vistex, Inc. Proprietary and confidential. All rights reserved. Go-To-Market Analytics
  • 4. 4Copyright © 2015 Vistex, Inc. Proprietary and confidential. All rights reserved. Questions clients are asking Who are our most valuable customers? Which of my customers are at risk to churn? Are our GTM programs actually driving the right outcome? Am I spending too much on incentives? Can we measure improvements in operational efficiency? How do operational improvements translate to revenue growth?
  • 5. 5Copyright © 2015 Vistex, Inc. Proprietary and confidential. All rights reserved. How do I assesses the value of my customers? What it’s called: What it is: What it tells you: Revenue MetaScore (MVS) Customer lifetime value The best predictor of which incentives impact general business performance Recency Value Score (RVS) Index of which customers purchased most recently The best predictor of future churn rate Frequency Value Score (AVS) Index of which customers most frequently purchase your product, service or brand A good predictor of new customer growth Purchasing Value Score (PVS) Index of which customers purchased the most The best predictor of overall revenue growth
  • 6. 6Copyright © 2015 Vistex, Inc. Proprietary and confidential. All rights reserved. Prescribe (what actions should be taken) Predict (what’s likely to happen) Forecast (what might happen) Monitor (what’s happening now) Analysis (why it happened) Reporting (what happened) Quantity What is channel spend by partner tier? How many Partners do we need? What are projected revenues/partner? Behavior Who are my best partners? What are they most likely to purchase? Optimal What is the impact and lift on sales incentives? Potential outcomes based on complex interactions Complexity Low High HighValue to Business Analytics available for real world applications
  • 7. 7Copyright © 2015 Vistex, Inc. Proprietary and confidential. All rights reserved. Data Intuitively discover patterns and optimize results
  • 8. 8Copyright © 2015 Vistex, Inc. Proprietary and confidential. All rights reserved. Aggregating Data Data Warehouse Sales Transactions (POS) Excel Data Warehouse Reporting Data Marts Text Files Blended Query Results Query Results Goal – Bring data into a single span of control and evaluation that allows a view into the impact of variables on channel performance How – With data blending the underlying enterprise data stores can be queried and the results combined at a more aggregate level to Action – Quickly provide trusted directional results. Obviate the need for costly data integration within the data stores themselves.
  • 9. 9Copyright © 2015 Vistex, Inc. Proprietary and confidential. All rights reserved. Benchmark current program performance Goal – Establish current topline results drivers, craft KPIs around these drivers so that after programs are more optimized progress can be measured How – Determine what factors have the highest correlation with revenue outcomes Action – Identify the drivers by program, incentive spend and regional configuration that correlate with results
  • 10. 10Copyright © 2015 Vistex, Inc. Proprietary and confidential. All rights reserved. Assess partner lifetime value Goal – Spend incentive dollars on partners with higher lifetime value, established -> growth How – Analyze partner transactions + engagement Action – Target investment, consolidate to reduce touch points, Detailed account review to drive allocation and improvement. • PLV Score • Churn Probability, • Recency, Frequency, Monetary • Expected lifetime value • http://j.mp/1LfD6LF
  • 11. 11Copyright © 2015 Vistex, Inc. Proprietary and confidential. All rights reserved. OverspendOpportunities Tier 1-Tier 3 Focus: Investment by Revenue Tier
  • 12. 12Copyright © 2015 Vistex, Inc. Proprietary and confidential. All rights reserved. Focus: Target investment by program, region and tier lift Lift = 𝐴𝑛𝑎𝑙𝑦𝑠𝑖𝑠 𝐺𝑟𝑜𝑢𝑝 𝑀𝑎𝑡𝑐ℎ𝑒𝑑 𝐶𝑜𝑛𝑡𝑟𝑜𝑙 𝐺𝑟𝑜𝑢𝑝 = ( 𝐴𝐺 𝑅𝑒𝑣 Δ 𝑃𝐴 − 𝐴𝐺 𝐼𝑛𝑐 Δ 𝑃𝐴 ) ( 𝑀𝐶 𝑅𝑒𝑣 Δ 𝑃𝐴 −[𝑀𝐶 𝐼𝑛𝑐 Δ 𝑃𝐴]) Goal Calculate the lift associated with incentives and their combinations prioritize by revenue, identify high performance areas How Analyze partner transactions + engagement, Simulate scenarios using “what-if” analysis, reallocating budget in different proportions and seeing the direct impact on sales/value Action Shift investment, consolidate to reduce touch points, Detailed account review to drive allocation and improvement.
  • 13. 13Copyright © 2015 Vistex, Inc. Proprietary and confidential. All rights reserved. Isolate effects of programs & feedback loop Goal Spend incentive dollars on partners with higher lifetime value, established -> growth How Analyze partner transactions + engagement Action Target investment, consolidate to reduce touch points, Detailed account review to drive allocation and improvement.
  • 14. 14Copyright © 2015 Vistex, Inc. Proprietary and confidential. All rights reserved. Partner Score Cards Challenge - Manually intensive process that limits scope of the strategic analysis Solution - Link the data to automate and scale process Value - Improved insight and drill-down into the success drivers of events Drive a range of improvements to incentives, campaign management, strategic business planning.
  • 15. 15Copyright © 2015 Vistex, Inc. Proprietary and confidential. All rights reserved. Key take-aways Engage with Strategic Services early! Assess lifetime value Benchmark performance Monitor and drive results with scorecard
  • 16. 16Copyright © 2015 Vistex, Inc. Proprietary and confidential. All rights reserved. Process-based Project Management
  • 17. 17Copyright © 2015 Vistex, Inc. Proprietary and confidential. All rights reserved. Copyright: Vistex®, Go-to-Market Suite®, and other Vistex, Inc. graphics, logos, and service names are trademarks, registered trademarks or trade dress of Vistex, Inc. in the United States and/or other countries. No part of this publication may be reproduced or transmitted in any form or for any purpose without the expressed written permission of Vistex, Inc. The information contained herein may be changed without prior notice. © Copyright 2015 Vistex, Inc. All rights reserved. Dale.Taormino@Vistex.com William.Gilsing@Vistex.com

Editor's Notes

  1. These 4 (lifetime) value scores are useful for understanding the quality of customer revenue streams that accelerate business growth through new and existing customers. In our engagements these value scores were predictive of high performance for our clients: MVS was the best predictor of incentives impact on general business performance. There are other techniques to assess the value of your customer. RVS was the best predictor of future churn rate AVS was a good predictor of new customer growth PVS was the best predictor of overall revenue growth
  2. I’m going to give you a demo make it clear ViZi is the tool we use. Here’s what you ’re going to see in the demo. For us analytics is a process of data science that can be enabled with the use of integrated software, that does things a certain way. Discover > Assess > Recommend > Optimize
  3. Increasing complexity, decentralization of program management make it difficult to gain insight into which specific programs and partners are performing the best. Without such knowledge client was not able to target programs and partners to get the best ROI.
  4. Measuring the true lift provides an unclouded view of these opportunities. Through data quality improvement, integrating critical datasources including sales-out data and then applying the appropriate analytics, we unraveled the complexity, broke down data silos and ultimately optimize spend.
  5. For example a $1 billion company generates 80 percent of its revenue or $800 million through its indirect channel. Incentive spend tends to be ~5% of revenue or $40 million and 15% of that spend is wasted in some way. The identified $6 million in overspend by gaining a deeper understanding of its partner incentives. We are helping capture 35% of that opportunity by focusing on low-hanging fruit, saving $2 million every year that can be invested in other areas of the program to drive growth such as: adding support for existing, emerging or strategic partners extending partner coverage to new whitespace opportunities adopting more robust analytics to continue to drive partner program effectiveness
  6. We developed natural control groups that allowed us to compare similar groups of partners where the only difference was one group received an incentive and the control did not.
  7. Marketers need to gain a unified view of partners, by program, value and geography to improve return on incentives. Today this data lives in many different areas. As presented in these 3 use cases, analytics empowers channel marketers by bringing together data from a wide variety of sources including spreadsheets and databases; marketing automation, training, social media, web, ERP and CRM systems A single unified analytic view to set strategy, create alignment across programs and drive growth.