Creating a Voice of the Customer
Process That Has Impact
Customer Management Conference October 23, 2012
Moscow, Russia
John Goodman TARP Worldwide www.tarp.com
Agenda
• The Opportunity: How the VOC leads to CE impact • Eight factors leading to an effective VOC
• Critical data sources and integrating them (surveys, contact centers, operations and employee input)
• Creating the economic imperative for action • Myths about service
About TARP
• Founded in 1971—41 years of customer experience leadership
– White House Complaint Studies 1970s-80s (instigated 800#s and GE Answer Center)
– Assisted 6 Baldrige Winners and 43 Fortune 100 Companies
– Initiated concept of “word of mouth” (TARP/Coca-Cola 1978 Study) and “word of mouse” (eCare and Click & Mortar studies 1999)
• Credited with developing the approach for quantifying the impact of quality
on revenue, cost & WOM for companies like McDonalds, Toyota/Lexus, IBM,
Harley Davidson, Cisco Systems, Xerox, 3M, HP, Honda, Hyundai, Pepsi Cola,
Apple, Frito-Lay, Coca-Cola, Mercedes- Benz, Merck, Amway, Lexmark, Allstate, Cathay Pacific, Shell Oil and Qualcomm.
Customers will: Use again
Buy other products Tell others to buy
+
=
DOING THE RIGHT JOB RIGHT THE FIRST TIME MAXIMUM CUSTOMER SATISFACTION & LOYALTY ImprovedProduct & Service Quality Respond to Individual Customers Identify Sources of Dissatisfaction Conduct Root Cause Analysis Feedback on Prevention EFFECTIVE CUSTOMER CONTACT MANAGEMENT
Context of VOC within the Customer Experience
6
Building an Effective VOC: Six Big Ideas From
Strategic Customer Service
1. Staff doesn’t cause most customer dissatisfaction –
sales, products, processes and customers do 2. It is cheaper to give great service than just good
service, the revenue payoff is 10-20X the cost 3. People are still paramount – make the front line
successful with flexibility and clear explanations 4. Deliver technology that customers will enjoy –
delivering psychic pizza via any channel 5. Sensibly create remarkable delight
6. An effective Voice of the Customer includes all kinds of data describing the overall customer experience
Recent Survey of CE & Service Strategy Executives
Overuse of “rearview mirror”:
Most companies primarily use
traditional survey & complaint data
Underutilization of early warning devices:
Only 25% use operational data – Chicago bank
Only 30% currently monitoring Social Media for VOC
Only 13% are using Speech Analytics
Proprietary © 2012 TARP Worldwide
Survey Results: Data Collected by VOC
(Study Method- N=160, Nov 2011)
Recent Survey of CE & Service Strategy Executives
About 33% produce an end-to-end view of the Customer
Experience using data that is integrated into a single picture
These 33% of companies were more than twice as likely
to have significant improvements in customer satisfaction than those who didn’t integrate multiple types of data
Over 50%: 3 or more FTE Customer Experience Analysts
However, the size of the analytical staff had no
correlation with the impact of the VOC!
Proprietary © 2012 TARP Worldwide
Survey Results: Analysis & Reporting
Recent Survey of CE & Service Strategy Executives
CFO buy in to business case is critical
Where buy-in existed, 40% of VOC processes were very
effective in getting things fixed and 55% had significant increases in customer satisfaction
Where buy-in did not exist, only 8% of companies were
very effective and only 23% had significant increases.
Business cases can include four dimensions:
Loyalty
Margin – great experience and innovation
Word of mouth
Risk reduction (Liability, warranty, regulatory and PR)
Proprietary © 2012 TARP Worldwide
Survey Results: Business Case
Departments With Interest in an Effective CE 1. Marketing and Sales– retention and word of mouth from
customers and shelf space from channels 2. Finance – higher margin and lower costs
3. Operations – reduce costs, more accurate execution 4. Risk – better service reduces claims
5. PR, Legal & Regulatory – better online reviews and publicity 6. HR – less problems leads to happier front line and lower
turnover
Why Most VOC Processes Lack Impact and Are Cost Inefficient
• No unified picture of the customer experience • Does not estimate revenue damage by granular
issue
• Doesn’t focus on root causes and why problem occurred or why responses were not effective
• Requires expensive additional surveys to indicate if action had impact
Effective Voice of the Customer Process
1. Well-defined ownership of
process and issues
2. Unified data collection across whole lifecycle 3. Integration of multiple data sources 4. Visible, granular, actionable reporting 5. Clear revenue and profit implications 6. Formal processes for translating data into actions and
targets 7. Formal systems for tracking impact 8. Process supported by company-wide incentives
Behavioral Basis: Employees Don’t Cause Most Dissatisfaction
- Fails to follow policy
The majority of customer dissatisfaction is NOT caused by employee error or attitude but by products and broken processes*
Customer 20%-30%
Employee 20%
- Wrong expectations - Customer error
-Fails to follow policy
-Attitude
Company 40%-60%
- Products and services don’t meet expectations
- Marketing miscommunication - Broken processes
Poorly designed products, processes, and marketing create unmet expectations. Customer expectations
must be set to avoid problems and surprises.
*Finding based upon TARP analysis problem cause data in over 200 consumer and B2B environments.
At least 30% of contacts are preventable
1%-5% Complain to management
Most that complain (5-25%) go to front line person who can not or will not help
75%-95% Encounter a problem but don’t
complain
The Tip of the Iceberg Phenomenon
Understand Impact of Problems
Mollified2 30% I Question/ Problem Experience II Contact Behavior III Contact Handling Customers Complainers 5-50% No problem experience 60% Problem experience 40% Experience suggests three strategies: Prevention, Solicitation of Complaints, and Response IV Market Impact % Definitely/Probably Recommend/repurchasefrom same organization
Dissatisfied3 20% Satisfied1 50% 90% 93% 30% 60% 50% Non- Complainers 95-50% 15
Economic Model of Service Impact
• Assume each customer is worth $1,000
• Average drop in loyalty 20%
• For every five customers with a problem,
one is at risk
(5 x .2 = 1)
5 Customers with
Unresolved Problems
1 Lost Customer
$1,000
5 Customers with
Problems Solved/ Prevented
1 Retained Customer
$1,000 $1,000
= = = =
Proprietary © 2012 TARP Worldwide
Customer Expectation: Factors Driving Satisfaction
• No Unpleasant Surprises • If Trouble Encountered
– Accessibility – not average speed of answer, hours of operation
– Taking ownership, apology – Clear, believable explanation
– Creating an emotional connection rather than just courtesy
– Money is often not the best solution – Timeliness and keeping promises
Creating A Data Foundation for The VOC
• Customer surveys
• Customer contact and interaction data: coded and unstructured – key source of why it happened
• Internal operations process and quality measures • Employee input – second source of why
+ = Total view of the customer experience Internal
process and quality data and
employee input
+ contact and Customer
interaction data Surveys of
customer satisfaction and
loyalty
Take The Role Of Chief Customer Officer
Estimating Number of Customers Impacted by Issue From Contacts to Different Touch Points
** For these channels, the consumer may have first complained elsewhere and then escalated their complaint to this channel.
100
Airline customers encountering a rude gate agent
2% to flight attendant 0.8% to consumer affairs/
customers relations** 7% to local supervisor** 5% to social media**
0.2% to executive by e-mail** 1% to frequent flyer 800#** 4% to reservations 800# 1% airline web site
3.5% Other
Integrating Touch Point Data (Airline Example)
Source
Problem
Reports Multiplier
Total Estimated Instances
Best Estimate # Instances
Web Site 6 100 600
Social Media & Unstructured Data
20 20 400
Reservations 14 25 350
Executive Complaint 2 500 1,000
555
Consumer Affairs 4 120 480 Survey 0.5% 100,000 500
# Customers in Month
Damage to Loyalty
Value of Customer
Monthly Revenue Impact
555 x .25 x $2,000 = $277,500
= = = =
x x x
= 2,500 3,000 7,000 37,500 50,500 Total Customers At Risk
200,000 Customers with Problems 20% Dissatisfied Many Not Repurchasing Some Not Repurchasing 50% Satisfied Most Repurchasing
75% Do Not Complain 25% Complain 30% Mollified Some Not Repurchasing
2. Quantify the Damage of a Poor Customer Experience
Demonstrating financial impact with the CFO, CMO and the General Counsel
Three strategies: Prevention, Solicitation of Complaints and Improved Response
At $1000 per customer, $50,500,000 at risk
= = = =
x x x
= 1,875 2,250 2,250 28,125 34,500 Total Customers At Risk
150,000 Customers with Problems 20% Dissatisfied 70% Repurchasing 75% Repurchasing 50% Satisfied 90% Repurchasing
75% Do Not Complain 25% Complain 30% Mollified 80% Repurchasing
Quantify the Payoff of Prevention of 25% of Problems
Demonstrating financial impact with the CFO, CMO and the General Counsel
Three strategies: Prevention, Solicitation of Complaints and Improved Response
At $1000 per customer, $34,500,000 at risk or saving of $15,500,000
1 Based on multiple problem selection 2 Based on will not repurchase only
Set Priorities Based on Revenue Damage & Customers at Risk
Overall
problem experience
Problem freq
% Won’t recommend
% Customers potentially lost
(45%) (%)1 Will not2
Meeting promised delivery
dates 27 10.5 1.3
Product availability within
desired time frame 23 0.0 0.0
Meeting commitments/follow
through 21 30.0 2.8
Equipment/system fixed right
first time 20 22.2 2.0
Adequate post-sale
communications 19 10.0 0.9
Returning calls 16 33.3 2.4
Minimum customers at risk 9.4%
Show The CMO That Negative Word Of Mouth Can Trump Marketing
10% delighted
70% satisfied
Tell two Tell one
=
=
2,000
7,000
-3,000
10,000 customers
Example calculation of potential impact
20% dissatisfied
Tell six
= -12,000
20% dissatisfaction can counter 80% satisfaction
Great Service Is A Word of Mouth Management Mechanism
10% delighted
80% satisfied
Tell two Tell one
=
=
2,000
8,000
4,000
10,000 customers
10% dissatisfied
Tell six
= -6,000
10% decrease in dissatisfaction results in net positive WOM
Problems Raise Sensitivity to Price, Hindering High Margins
10%
22%
46%
74%
0% 10% 20% 30% 40% 50% 60% 70% 80% 90%
No problems 1 problem 2 to 5 problems 6 problems or more
Broaden the Range of Solutions to Issues
• Welcome kits, calls and emails
• Enhance response with empowerment and explanations
• Create efficient emotional connection • Use technology to deliver psychic pizza
– JIT education – Anticipates – Simplifies
• Delight sensibly
• Create accountability – CCO Paper
Enhancing Report Impact
• Simplify to three issues to any one audience
• Eliminate of masses of data requiring interpretation
• Tailor report to each function
• Provide action plan and process metrics impacted
• Humanize data with quotes, stories and recordings
• Act as consultant – suggest lead functional leader
Grade 1 to 10, 10 being best
Practical Exercise: Evaluate Your VOC System
Grade VOC Process Owned by One Person
Unified Data Collection Plan
Understand Non-complaint Rate and Multiplier Integration of Multiple Data Sources
Actionable, Visible Reporting
Understand Impact of Word of Mouth Revenue and Profit Implications of Issues Calculated
Issues Translated Into Targets Tracks Do Issues Get Fixed
Tied to Company-Wide Incentives
If you rate less than a 75, you’re Total Score ___________ wasting 20% of your service budget
Summary
• Create a unified VOC including operational data to identify best opportunities
• Understand root cause including customer caused • Quantify the revenue and WOM so CFO accepts • Take control of the VOC and then become the Chief
Customer Officer
• Proactively educate, connect, explain and deliver psychic pizza
• Outlined in detail in Strategic Customer Service published by AMACOM – on Amazon for <$20.