22
2009 TransPromo Summit 1 Understanding Data Kevin J. Klein, Director, Production Intelligence Consulting Pitney Bowes Alan Kraft President Media Horizons Management 1

Session 7 Understanding Data Final KK AK · Source: Personalized and Database Printing, Romano / Boudy 0% 100% 200% 300% 400% 500%. 2009 DMT Kick Off January 13-16, 2009 8 Predicting

  • Upload
    others

  • View
    1

  • Download
    0

Embed Size (px)

Citation preview

Page 1: Session 7 Understanding Data Final KK AK · Source: Personalized and Database Printing, Romano / Boudy 0% 100% 200% 300% 400% 500%. 2009 DMT Kick Off January 13-16, 2009 8 Predicting

2009 TransPromo Summit 1

Understanding Data

Kevin J. Klein, Director, Production Intelligence ConsultingPitney Bowes

Alan KraftPresidentMedia Horizons Management

1

Page 2: Session 7 Understanding Data Final KK AK · Source: Personalized and Database Printing, Romano / Boudy 0% 100% 200% 300% 400% 500%. 2009 DMT Kick Off January 13-16, 2009 8 Predicting

22009 DMT Kick Off January 13-16, 2009 2

In the new economy of conscience consumption, understanding our customers and prospects is more vital to growth than ever

Do no harm

The goal is to have customers say “you thought of me”

Perspective

Page 3: Session 7 Understanding Data Final KK AK · Source: Personalized and Database Printing, Romano / Boudy 0% 100% 200% 300% 400% 500%. 2009 DMT Kick Off January 13-16, 2009 8 Predicting

32009 DMT Kick Off January 13-16, 2009 3

What is TransPromo?

TransPromo is the INTELLIGENT combination of transactional customer communications and RELEVANT marketing to DRIVEcross selling, upselling, customer education, loyalty and cost savings

TransPromo HAS BECOME A REALITY due to:VDP (Variable Data Printing) technology plusCost effective quality color production technology plusCustomer specific data (Client Analytics, Location Intelligence, Inherent Document Intelligence)

Going beyond color printing, campaign management and personalization to increase customer value

Page 4: Session 7 Understanding Data Final KK AK · Source: Personalized and Database Printing, Romano / Boudy 0% 100% 200% 300% 400% 500%. 2009 DMT Kick Off January 13-16, 2009 8 Predicting

42009 DMT Kick Off January 13-16, 2009 4

Page 5: Session 7 Understanding Data Final KK AK · Source: Personalized and Database Printing, Romano / Boudy 0% 100% 200% 300% 400% 500%. 2009 DMT Kick Off January 13-16, 2009 8 Predicting

52009 DMT Kick Off January 13-16, 2009 5

Adoption of a Scientific Approach to Marketing

A recent Epsilon CMO Survey showed CMOs are shifting to more targeted and measurable marketing strategies:

31% marketers use sophisticated modeling tools to analyze existing customer data (behavioral, preference and demographic)

28% said they made 'rough estimates’ based on past experience.

19% said that they analyze past purchase behavior.

Source: Epsilon CMO Survey September 8, 2008

Page 6: Session 7 Understanding Data Final KK AK · Source: Personalized and Database Printing, Romano / Boudy 0% 100% 200% 300% 400% 500%. 2009 DMT Kick Off January 13-16, 2009 8 Predicting

62009 DMT Kick Off January 13-16, 2009 6

As Relevancy Increases, So Do Profits

Factors that make statements relevant:PR

OFI

TS

RELEVANCE

• Content that Relates to my Needs• Based on my Preferences• Recognize Extent of Relationship • Highlight Local Resources • Accuracy of Information• Timeliness of Offers “You know me”

Page 7: Session 7 Understanding Data Final KK AK · Source: Personalized and Database Printing, Romano / Boudy 0% 100% 200% 300% 400% 500%. 2009 DMT Kick Off January 13-16, 2009 8 Predicting

72009 DMT Kick Off January 13-16, 2009 7

Measuring Propensity to Respond

Names only

Static full color

Personalization & full colour

Database intelligence & localization

Source: Personalized and Database Printing, Romano / Boudy

0% 100% 200% 300% 400% 500%

Page 8: Session 7 Understanding Data Final KK AK · Source: Personalized and Database Printing, Romano / Boudy 0% 100% 200% 300% 400% 500%. 2009 DMT Kick Off January 13-16, 2009 8 Predicting

82009 DMT Kick Off January 13-16, 2009 8

Predicting Customer NeedsObserved Behaviors

Product usage behavior– Products/ Balances– Age of Relationship– Mean Time Between Purchases– Order of Purchase

Transactional Behaviors– By Type of Transaction– By Channel

Demographics and Lifestyle VariablesGeographic Factors

Relative Convenience to CustomerLocal Brand Strength

Events Life Events Market Events

Page 9: Session 7 Understanding Data Final KK AK · Source: Personalized and Database Printing, Romano / Boudy 0% 100% 200% 300% 400% 500%. 2009 DMT Kick Off January 13-16, 2009 8 Predicting

92009 DMT Kick Off January 13-16, 2009 9

Data Sources for Relevant Communication

CustomerBehavior

1.5+ BillionTransactions

CustomerBehavior

115+ MillionPurchases

Third PartyData Sources

Sales & ServiceChannel

Benchmarks

45,000 Location Profiles30+ attributes

Product &Customer

ProfitabilityNorms

ChannelOperatingExpenses

Page 10: Session 7 Understanding Data Final KK AK · Source: Personalized and Database Printing, Romano / Boudy 0% 100% 200% 300% 400% 500%. 2009 DMT Kick Off January 13-16, 2009 8 Predicting

102009 DMT Kick Off January 13-16, 2009 10

Customer ProfilingProfiles indicate the

degree to which a given cluster finds the client’s offer attractive relative

to the general population

Once defined, profiles are extremely useful in identifying areas of opportunity for cross-sell and prospecting

Page 11: Session 7 Understanding Data Final KK AK · Source: Personalized and Database Printing, Romano / Boudy 0% 100% 200% 300% 400% 500%. 2009 DMT Kick Off January 13-16, 2009 8 Predicting

112009 DMT Kick Off January 13-16, 2009 11

Profiling – The Impact of Convenience

Distance Decay MeasurementPer Capita Sales by Distance

$0

$10

$20

$30

$40

$50

$60

$70

0 5 10 15 20Driving Distance (miles)

Sale

s pe

r Cap

ita

Fundamental rule of site based retailing: market share diminishes as distance increasesIn addition to contextual market data, LI can improve accuracy in profiling by taking into account this friction of distance

Page 12: Session 7 Understanding Data Final KK AK · Source: Personalized and Database Printing, Romano / Boudy 0% 100% 200% 300% 400% 500%. 2009 DMT Kick Off January 13-16, 2009 8 Predicting

122009 DMT Kick Off January 13-16, 2009 12

Leverage Customer Insight

Prioritized Offer Selection

Optimize Statement Marketing

TransPromoContent

Database

TransPromo: Get Customer Intelligent

Page 13: Session 7 Understanding Data Final KK AK · Source: Personalized and Database Printing, Romano / Boudy 0% 100% 200% 300% 400% 500%. 2009 DMT Kick Off January 13-16, 2009 8 Predicting

132009 DMT Kick Off January 13-16, 2009 13

Upstream

Downstream

Customer Data Implementation Strategies

Transactional Data

Composition

Printing

Finishing

Mailing

Delivery

Customer DataIT, External

Digital Assets/CopyMarketing/Agency

Business RulesMarketers

Page 14: Session 7 Understanding Data Final KK AK · Source: Personalized and Database Printing, Romano / Boudy 0% 100% 200% 300% 400% 500%. 2009 DMT Kick Off January 13-16, 2009 8 Predicting

142009 DMT Kick Off January 13-16, 2009 14

Vehicle = OEM TiresDate = SeasonalityAddress = PSYTE Cluster (Family Orientation, Safety Conscience)Address = Location of Nearest Michelin Dealer Dealer

Customer Data Driven 3rd Party Marketing

Michelin Tires are our choice for safety

Visit Town Fair Tire at 67 Federal Road in Brookfield, CT and

Receive a free safety kit and a $20 rebate on each tire purchased

KOYOTAFinancial Services

KOYOTAFinancial Services

1518

7/12/2010

KOYOTA

Page 15: Session 7 Understanding Data Final KK AK · Source: Personalized and Database Printing, Romano / Boudy 0% 100% 200% 300% 400% 500%. 2009 DMT Kick Off January 13-16, 2009 8 Predicting

152009 DMT Kick Off January 13-16, 2009 15

Customer Data Driven “Pointers”Increase attention to internal offer though relevance

New England winter is coming soon! Important Safety Offer Included

KOYOTAFinancial Services

Page 16: Session 7 Understanding Data Final KK AK · Source: Personalized and Database Printing, Romano / Boudy 0% 100% 200% 300% 400% 500%. 2009 DMT Kick Off January 13-16, 2009 8 Predicting

162009 DMT Kick Off January 13-16, 2009 16

Behavioral Marketing

Using consumer behavior, including lifestyle, purchase and channel engagement to maximize marketing ROIMost commonly used data (by direct marketers):

Demographics > GoodPreference/Attitudinal > BetterBehavioral > Best

Example:Ask 100 people if they’re planning on exercising in the next six months

vs.100 people who have recently purchased running apparel

Page 17: Session 7 Understanding Data Final KK AK · Source: Personalized and Database Printing, Romano / Boudy 0% 100% 200% 300% 400% 500%. 2009 DMT Kick Off January 13-16, 2009 8 Predicting

172009 DMT Kick Off January 13-16, 2009 17

Behavioral MarketingDriven by customer data

Fast forward to current day and add:Ability to analyze sequence of purchases leading up to a specific action taken by a consumer, which can lead to stronger re-marketing effortsAbility, on the fly, to determine whether a consumer prefers to transact via phone, mail or webAbility to analyze open rates, open times and reader preferences of email communications

Rece

ncy Holy trinity of

behavioral data points traditionally used by direct marketers

Frequency

Monetary

Page 18: Session 7 Understanding Data Final KK AK · Source: Personalized and Database Printing, Romano / Boudy 0% 100% 200% 300% 400% 500%. 2009 DMT Kick Off January 13-16, 2009 8 Predicting

182009 DMT Kick Off January 13-16, 2009 18

Behavioral MarketingThe value of TransPromo

Direct marketers are constantly looking for the next level of media efficiency, and TransPromo offers a greater degree of behavioral marketing segmentation than is currently available in the transactional document channelOld School:

Marketer produces insert/bangtail for inclusion in outgoing transactional document mailings

New School: TransPromo offers marketer the ability to target by multiple criteria, including geography, purchase behavior, timing, credit worthiness and by channel engagement

Page 19: Session 7 Understanding Data Final KK AK · Source: Personalized and Database Printing, Romano / Boudy 0% 100% 200% 300% 400% 500%. 2009 DMT Kick Off January 13-16, 2009 8 Predicting

192009 DMT Kick Off January 13-16, 2009 19

Behavioral MarketingCurrent Customer Marketing

Maximize Lifetime Value (LCV) by using behavioral intelligence to target offers and promotions on a highly segmented level. Focus on frequency of promotions, seasonality, creative execution, etc.

Brings direct value to your organization through third party advertiser revenue

Page 20: Session 7 Understanding Data Final KK AK · Source: Personalized and Database Printing, Romano / Boudy 0% 100% 200% 300% 400% 500%. 2009 DMT Kick Off January 13-16, 2009 8 Predicting

202009 DMT Kick Off January 13-16, 2009 20

Behavioral MarketingThird Party Marketing

Produce greatest possible third party advertising revenue Enable marketers to maximize their marketing ROI within your transactional document environment

Brings value to your organization through third party advertiser revenue

Page 21: Session 7 Understanding Data Final KK AK · Source: Personalized and Database Printing, Romano / Boudy 0% 100% 200% 300% 400% 500%. 2009 DMT Kick Off January 13-16, 2009 8 Predicting

212009 DMT Kick Off January 13-16, 2009 21

TransPromo: Get Customer Intelligent

Synthesize Customer segment knowledge

Hypothesis formulation

Hypothesis testing & verification

Creating

Communicate winning value propositions

Synchronize the call to action

Communicating

Scale successful experiments

Accumulate knowledge

Executing

Page 22: Session 7 Understanding Data Final KK AK · Source: Personalized and Database Printing, Romano / Boudy 0% 100% 200% 300% 400% 500%. 2009 DMT Kick Off January 13-16, 2009 8 Predicting

222009 DMT Kick Off January 13-16, 2009 22

Thank You

Kevin [email protected]

Alan [email protected]