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Optimizing Customer Support
3
Correlation between support usage and user transactions
Identify at-risk, high LTV customers
Products that create support volume
What you’re going to learn
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1
Case Study
Harris Farm Markets
Harris Farm Markets
Harris Farm Markets
Resolving individual customer issue
Making ongoing operational improvements
The Results
RJMetrics Demo
Number of tickets
Number of tickets
Number of tickets
Tickets by status
Average time to resolution
Average time to resolution
Peak ticket days and hours
Who is filing tickets?
Correlation between support usage and LTV
Identify at-risk, high LTV customers
Products that create support volume
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