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Copyr i g ht © 2015, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
BOOST LOYALTY IN A DIGITAL WORLD
ARGYLE CMO WEBINAR | WILSON RAJ | GLOBAL DIRECTOR, CI | MAY 28, 2015
Copyr i g ht © 2015, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
LOYALTY AS …BRAND PROMISE + CUSTOMER EXPERIENCE + MARKETING
TO:
• Experiences
• Engaging
• Consumer recognition
• Consumer moments
• Contextual utility
• Value exchanges
• Levels of engagement
• Adaptive planning
• Semantic economy
FROM:
• Campaigns
• Targeting
• Consumer segmentation
• Media schedules
• Relevant messages
• Transactions
• GRPs and CPMs
• Strategic planning
• Scale economy
Adapted : Forrester Research 2014, SAS
Copyr i g ht © 2015, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
IMPERATIVE #1
SHIFT BRAND MANAGEMENT TO BRAND & CUSTOMER EXPERIENCE PLATFORMS
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DELIVER EXPERIENCE OF A LIFETIME! FIRST SEASON …
100,000 guest
activated
6 million digital pins
45% users shared
on Facebook/Twitter
35 million social
impressions
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UNIFY PRODUCT, PRICING, INVENTORY INFORMATION
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BUILD CONTEXTUAL INTERACTIONS & INSIGHTS
Source: McCormick
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REDUCE FRICTION
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MERGE DIGITAL AND PHYSICAL WORLDS
Image: WSJ
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LOYALTY TRANSFORMATION
SHIFT FROM “LOYALTY PROGRAMS” TO “LOYALTY COMPANY”
Copyr i g ht © 2015, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
LOYALTY
PROGRAMS
BEEFING UP …
US LOYALTY MEMBERSHIP – 2012 TO 2014
… BUT LEAN ON
ACTIVE
PARTICIPATION
Reference: Colloquy 2015 Loyalty Census
Copyr i g ht © 2015, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
LOYALTY
MEMBERS MORE VALUABLE CUSTOMERS …
Motivated by non-
transactional
rewards
Pay higher price
Share and
advocate more
Copyr i g ht © 2015, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
CURRENT LOYALTY
PROGRAMSPARITY. UNDIFFERENTIATED. DISCRETE.
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IMPLICIT EXPLICIT
Rewards – incent behavior
Recognition – realize customer value
Engagement – strengthen relationships
FUTURE LOYALTY
PROGRAMS REWARD, RECOGNIZE, ENGAGE FOR MAXIMUM BENEFIT
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ADD “EMOTIVE”
TO “RATIONAL”
FOR LOYALTY
TRANSACTIONAL VS. NON-TRANSACTIONAL
Data is born
“unstructured”
Loss of valuable
context with
structure
“Haggling data”
Copyr i g ht © 2015, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
Benefit Reward Recognize Engage Example
Access Gilt Insider
Auctions Starwood Preferred Guest
Cash Back TXU Energy Retail
Content Kellogg's Family Rewards
eCommerce Redemption Chase Ultimate Rewards
Enhanced service Sephora Beauty Insider
Experiences Virgin America, American Express, Nordstrom’s
Instant discounts Target REDcard
Sweepstakes Coca-Cola My Coke Rewards
Loyalty currency Walgreen’s Balance Rewards
Member events North Face VIPeak, TJX Canada Style+
Rewards certificates GapCard, Banana Republic, J-Crew
Status Tiers JetBlue Airways True Blue, United
Surprise and delight Panera Bread’s MyPanera
Targeted offers Kroger
Sources: Forrester Research, WSJ, SAS
Copyr i g ht © 2015, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
IMPERATIVE #3
ALIGNING CUSTOMER EXPERIENCE & ANALYTICS
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84% of smartphone shoppers use their phones
while in a physical store. –ThinkGoogle
71% more likely to purchase based
on social media referrals. –HubSpot
88% of consumers trust online reviews as much
as personal recommendations. –BrightLocal
DID YOU KNOW?
IMPLICIT LOYALTY RETHINKING THE CUSTOMER DECISION JOURNEY
Day 1 Day 5Day 2 Day 3 Day 4
I need to buy a
new blazer.
touch points
Purchase
made.
Comparison
shopping begins.
Additional
research.
Research
online reviews.
She researches
opinions via social
channels: Facebook,
Twitter, Yelp, etc. She writes a review
about her experience
and the product.
She receives a
promotional email
from a retailer.
While in store she
receives a promotional
text for 10% off.touch points
activities
Copyr i g ht © 2015, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
DATA
& ANALYTICS
ANALYTICS THROUGHOUT CUSTOMER’S BRAND
EXPERIENCE
Journey Stage Top Marketing Goal Analytics
Discover
Profile customers Segmentation
Evaluate prospects Lead scoring
Reach right prospects Acquisition models
Explore
Analyze customer response Offer/ contact optimization
Optimize marketing mix Marketing mix modeling
Test marketing A/B, multivariate testing
Buy
Predict future behavior Propensity models
Target accurately Segmentation, valuation models
Personalize marketing Next best action models, social/ text VOC analysis
Engage
Expand breadth of customer interactions Cross-sell/ upsell
Increase depth of customer interactions Loyalty models
Incorporate customer feedback Value of customer analysis
Manage customer attrition/ defection Churn/ attrition models
Maximize customer value Lifetime value models
Copyr i g ht © 2015, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
“Life is a game of inches. In life, the margin of error is so small –
one half of a step too late or too early and you don’t quite make it.
One half of a second too slow or too fast, you don’t quite catch it.
The inches we need are everywhere around us. They’re in every
break, every minute, every second,”
Tony D’Amato (Al Pacino), Any Given Sunday
Photo credit: Ed Schipul
Copyr i g ht © 2015, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
“Boosting loyalty is a game of inches”
@wilsonraj
Photo credit: Barbara Krawcowicz
Copyr i g ht © 2015, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
LOYALTY PROGRAM TO
LOYALTY COMPANYFOUNDATIONS FOR WINNING THE GAME OF INCHES …
• Expanded client data
• Balance of privacy vs.
personalization
• Data Governance
• Orchestrated decision-making
• Measurement realigned to
customer management drivers
• Real-time enablement
Operations
Excellence
Data
Management
Analytics &
Visualization
• Customer analytical environments
• Self serve analytics
• Better visualization of data & insights
1 2 43
Big Data
Platform
• Introduce data variety
• Extended data partnerships
• Real-time and contextually aware
insights
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THANK YOU
@WILSONRAJ | [email protected]
WWW.LINKEDIN/IN/WILSONRAJ