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Delivering Smarter Customer InteractionsDefining the Customer Insight Platform to Get You There
Featuring
Brandon PurcellSenior Analyst
Forrester Research
Steven NoelsCTO & Co-Founder
NGDATA
WEBINAR
© 2016 Forrester Research, Inc. Reproduction Prohibited 2
Imagine a world in which….
1. Customer data captured from all interactions:
2. Data is collected and managed in a central
repository
3. Customer analytics unlocks valuable insights
4. Insights are operationalized across channels
3© 2016 FORRESTER. REPRODUCTION PROHIBITED.
“We are drowning in data and starving for insight.”
— Global Bank
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Customer insights are the gold buried within your data
© 2016 Forrester Research, Inc. Reproduction Prohibited 5
P = potential value of data
E = value extracted from data
P E/P = ~1
Customeranalytics
Customer analytics unlocks the potential value in your data
© 2016 Forrester Research, Inc. Reproduction Prohibited 6
What is Customer Analytics?
Customer analytics uses customer data and analytic insight to design
customer-focused programs that win, serve and retain customers.
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The potential value for analytics is real across the customer lifecycle
Source: June 19, 2014, “How Analytics Drives Customer Life-Cycle Management” Forrester report
© 2016 Forrester Research, Inc. Reproduction Prohibited 8
Customer analytics is different. Really.
METHODS DATA TECHNOLOGY
Descriptive
Predictive• Predictive
modeling• Forecasting• Simulation
Prescriptive
• Reporting & measurement
• Business intelligence
• Optimization• Decision
arbitration
Internally-sourced, at-rest, Structured
Externally-sourced, unstructured
Multi-sourced, in-motion, multi-structured
Relational
Non-relational
• CRM, EDW, POS, Web
• Social, location, VoC
• Sensor, open data, IOT data, device data
• Hadoop, noSQL
• Traditional EDWs
Dat
a S
cien
ce &
C
usto
mer
Ana
lytic
sTr
aditi
onal
A
naly
tics
© 2016 Forrester Research, Inc. Reproduction Prohibited 9
Source: February 2014 “TechRadar™: Customer Analytics Methods, Q1 2014”
Deciding where to begin may be the hardest part
© 2016 Forrester Research, Inc. Reproduction Prohibited 10
Source: “Close The Insights To Action Gap With A Clear Implementation Plan”
The analytical process begins and ends with business requirements
© 2016 Forrester Research, Inc. Reproduction Prohibited 11
› What is the key business objective of the project?
› Who is the project owner? Who are the relevant stakeholders?
› What will the cost and benefits of the project be?
› Are there risks / constraints we need to take into account?
› What would an ideal solution look like in action?
› How will we measure the success of this project?
› What is my project plan?
Key business questions before beginning analysis
© 2016 Forrester Research, Inc. Reproduction Prohibited 12
Source: “Analyzing Analytics: How To Measure The Impact Of Customer Analytics”
Select an objective with a measureable financial impact
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Now let’s turn to the data
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Image Source: http://en.wikipedia.org/wiki/File:Google_Glass_detail.jpg
Customer data ain’t what it used to be
© 2016 Forrester Research, Inc. Reproduction Prohibited 15
Data type Definition Examples
Numerical
Continuous All numerical values, including fractions
Purchase amount
Discrete Only integer values Website visits
Categoric
al
Nominal Qualitative data without order
Region
Ordinal Ordered qualitative data Level of education
Binary Qualitative data with 2 values
Offer click
Time and date Time and date data Timestamp
String Text data Email content
Actually…in analytical terms, there are only a few types of data
© 2016 Forrester Research, Inc. Reproduction Prohibited 16
Developing a single source of customer truth is onerous… but essential
Source https://vision.cloudera.com/using-big-data-to-drive-a-true-customer-360/
© 2016 Forrester Research, Inc. Reproduction Prohibited 17
Business objective Data Customer
analytics
Choosing the right analytical method depends on your business objectives and your data
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Now let’s explore the menu
Chez Customer Analytiques
© 2016 Forrester Research, Inc. Reproduction Prohibited 19
The customer analytics “menu”
© 2016 Forrester Research, Inc. Reproduction Prohibited 20
Source: February 2014 “TechRadar™: Customer Analytics Methods, Q2 2016”
Customer experience analytics methods:• Customer satisfaction
analysis• Customer engagement
analysis• Customer journey
analysis
Methods which improve the customer experience
© 2016 Forrester Research, Inc. Reproduction Prohibited 21
Source: February 2014 “TechRadar™: Customer Analytics Methods, Q1 2014”
Personalization analytics methods:• Next best action• Recommendation
analysis• Cross-sell and
upsell analysis
Methods which drive personalization
© 2016 Forrester Research, Inc. Reproduction Prohibited 22
Source: February 2014 “TechRadar™: Customer Analytics Methods, Q1 2014”
Acquisition analytics methods:• Behavioral customer
segmentation• Customer lifetime
value analysis• Customer lookalike
targeting
Methods which drive acquisition
© 2016 Forrester Research, Inc. Reproduction Prohibited 23
Aren’t we forgetting something?
Business objective Data Customer
analytics
© 2016 Forrester Research, Inc. Reproduction Prohibited 24
Business objective Data Customer
analytics ACTION
Aren’t we forgetting something?
© 2016 Forrester Research, Inc. Reproduction Prohibited 25
New methods deliver new output and require new operational processes
26© 2016 FORRESTER. REPRODUCTION PROHIBITED.
All possible data Untested insights
Potential learnings
All possible actions
However, we still see gaps between data and action
Source: April 27, 2015, “Digital Insight Is The New Currency Of Business” Forrester report
27© 2016 FORRESTER. REPRODUCTION PROHIBITED.
Systems of insight operationalize customer analytics
All Data PossibleActionsInsights-to-execution
process
Insights team
Digital insightsarchitecture
Rightdata
Effectiveactions
© 2016 Forrester Research, Inc. Reproduction Prohibited 28
THIS is a system of insight
1. Customer data captured from all interactions:
2. Data is collected and managed in a central
repository
3. Customer analytics unlocks valuable insights
4. Insights are operationalized across channels
Analytics in ActionCustomer Insight Platform
Featuring
Insight-Driven Processes
ACTION
INSIGHT
Customer DNA
DATA
Big DataSources
Enterprise Data Sources
Dashboards BI or Analytics
Tools
mobile online physical IoT social Call center Credit card 3rd party mail email
One Solution Driving Your Customer ExperienceLily Enterprise: The Customer Experience Operating System (CX-OS)
ONE Solution to:
• Capture data across all channels
• Gain real-time insights from analytics
• Drive opti-channel actions
SOLUTION
OPPORTUNITY
RESULTS
• Offer the customer the next best product to improve customer’s Telenet experience.
• Guide the call center advisor to sell the most relevant products.• Alerts advisors in case special attention is needed.
• Setting up and maintaining the complex business logic rules within the application.
• Created Customer DNA - a sophisticated and nuanced understanding of customers from millions of data points around both inbound and outbound interactions.
• Addressable campaigns - using viewers’ data to determine the right ad to show at the right time.
• Personalized offers or services – targeting dormant customers to reduce potential churn.
• One Care Portal - providing viewers with personalized information in their personal portal.
Telenet (part of Liberty Global group), Belgium’s largest provider of cable TV and broadband cable services to close to 5 million service subscribers, needed to reduce churn propensity and lower broad marketing costs, while improve customer loyalty.
Targeted Outbound Marketing Programs
With the international expertise of NGDATA, our CRM department now exists at the center of all our inbound and outbound customer interactions, sharing real, actionable business intelligence and insights, executing hundreds of targeted campaigns on a yearly basis.
- Bert Van Driessch, Director of CRM and Consumer Intelligence, Telenet
REDUCED ATTRITION BY MORE THAN20
%
INCREASED SEGMENTED CAMPAIGNS FROM 100 CAMPAIGNS PER YEAR TO NOW
MORE THAN 750 PER YEAR, WITH PERSONALIZED CONTENT
MOBILE CUSTOMER BASE INCREASED
MORE THAN 4X WITHIN A FEW MONTHS OF ITS AVAILABILITY
INCREASED RETURN RATE ON SALES CAMPAIGNS BY 300-400%
Belgium’s largest provider of cable TV and broadband cable services
SOLUTION
OPPORTUNITY
RESULTS
• Belfius’ key objective was to propose the right offers - actions with the right messages via the right channels, at the right moment, in a personalized way - for all products and all channels available within the bank. They wanted to achieve this by fully leveraging their existing analytics capabilities and adding real-time analytics to support their digital channels.
• NGDATA brought all of Belfius’ data together to get an individual-level view of each customer in one solution.
• The first specific use case focused on a next best action program around their pension savings product offerings. First, they wanted to know which customers had the greatest propensity for specific products, and to devise specific messages to them based on their behaviors and backgrounds. Second, they wanted to nurture their targets’ interest in the Simulate Loan Calculator. Third, they wanted to get those targets into the sales flow, and to see them through the path-to-purchase.
• An array of content channels were used to entice the targets to take action, including a banner campaign that was personalized to the users.
Belfius is a bank and insurance group that is owned by the Belgian federal government. Belfius is not listed on the stock exchange and is made up of a bank, an insurance company and various other subsidiaries.
• Belfius is now able to use that single customer profile, with real-time scoring and analytics across all channels, and for all banking products
• Belfius is now able to implement additional use cases, based on a jointly defined roadmap that includes next best action, cross- and upsell, loyalty and churn prevention programs
Next Best Action ProgramsBanking & Insurance
SOLUTION
OPPORTUNITY
RESULTS
• Essent wanted to deliver better service to their customers while lowering their call center costs – specifically around inbound calls regarding invoicing - which can be lengthy and costly.
• Customer DNA was created on each customer from data stored in different systems (CRM – contract, billing, usage, etc., and contact interactions from inbound and outbound activities – call center, mail, website, etc.) to better understand their behaviors and propensities when it came to invoicing.
• Once they had the Customer DNA in place, they created a model to enable them to predict which customers were most likely to call about invoices.
• The ones mostly likely to inquire received a personalized video, with information about their current status of usage, which would reflect on their next invoice. Results of views were also fed back into the system for further insights.
Essent supplies electricity and gas to 350,000 customers in Belgium, owned by top 5 European (German) energy supplier RWE Group
ROLLING OUT THE PERSONALIZED VIDEOS TO THE RIGHT CUSTOMERS, RESULTED IN
CALL REDUCTION OF 49%
FOR CUSTOMERS WHO VIEWED VIDEO, DIRECTLY IMPACTING CALL CENTER COSTS
OVERALL CALL REDUCTION OF
30%WITH THE STATISTICAL MODEL
THERE WAS A LIFT OF 5.6% IN PREDICTING THE CALLERS
Better Service, Lower CostsEnergy Supplier
Lily, the CX-OSCustomer- Centric by
Design
Real-Time
Learning from Feedback and
Analytics
Fast Benefit Realization
Dramatic Increase in Results (x10)
Enabling a Collaborative Ecosystem
Always On Capitalize on Existing Systems
Immediate Value from Your Data Lake
Open Architecture
Respecting Security and
Privacy
Steering Opti-Channel
Actions
Data-DrivenCustomer-Centric
Lily Enterprise: Key Features and Benefits
Recommendations
Featuring
© 2016 Forrester Research, Inc. Reproduction Prohibited 36
CommitmentAdoption
Applications
SkillsStructure
Partnerships
Sources ManagementPreparation
MethodologyMetrics
Business KPIsROI
WorkflowPrioritization
ExecutionSharing
ProductionConsumption
Activation
STRATEGY ORGANIZATION DATA ANALYTICS PROCESS TECHNOLOGY
Take Forrester’s Assessment for Customer Analytics – Measure your capabilities across six dimensions
© 2016 Forrester Research, Inc. Reproduction Prohibited 37
Organize for analytics
We have an analytics center of excellence or shared service across all channels and business units
We have a centralized measurement and analytics team for the entire organization
We have a decentralized measurement and analytics team aligned to a channel or business unit
0% 20% 40% 60%
22%
37%
41%
Which of the following structures best represents where the analytics team sits
in your organization?
© 2016 Forrester Research, Inc. Reproduction Prohibited 38
Develop ROI calculations to prioritize projects and measure impact
26%
Just 26% report that measurement and analytics projects are prioritized based on a methodical ROI/business justification process
39© 2016 FORRESTER. REPRODUCTION PROHIBITED.
Invest in scalable customer
data architecture
© 2016 Forrester Research, Inc. Reproduction Prohibited 40
Partner with a system of insight provider to jumpstart your capabilities
Five classes of insights platforms
© 2016 Forrester Research, Inc. Reproduction Prohibited 41
Prospe
ct ac
quisi
tion
Custom
er ac
quisi
tion
Custom
er on
-board
ing
Custom
er ret
entio
n
Custom
er loy
alty a
nd en
gage
ment
Custom
er rec
overy
and w
in-ba
ck
24%
38%
16%
41% 40%
26%
Stages of the customer lifecycle where respondents reported "high usage of analytics"
Apply analytics across the customer lifecycle
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Don’t be afraid to get your hands dirty
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It WILL be worth the effort
Brandon PurcellSenior Analyst
Forrester [email protected]
Steven NoelsCTO & Co-Founder
Thank you. Any questions?