businessonline on big data at ses chicago 2013

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BIG DATA: How to gather, analyze & react… Drive Marketing ROI @BOLoptimized #SESCHI

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Page 1: BusinessOnline on Big Data at SES Chicago 2013

BIG DATA:How to gather, analyze & react…Drive Marketing ROI

@BOLoptimized

#SESCHI

Page 2: BusinessOnline on Big Data at SES Chicago 2013

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Why Big Data? Why now?

Pace of change…+ Companies: Large and small…

+ Industries: Old & young

+Customers: b2b, b2c, male or female, rich or poor…

+ Change, big change…

Page 3: BusinessOnline on Big Data at SES Chicago 2013

Greatest Company Asset…

Customer Relationship

Enterprise Value Paradigm

Page 4: BusinessOnline on Big Data at SES Chicago 2013

Not Produc

t

Not IP

Not Brand

Page 5: BusinessOnline on Big Data at SES Chicago 2013

Age of the Customer“Empowered buyers, disruptive digital

innovations…erase traditional competitive advantages…the next wave will come from

deep customer knowledge, engagement tied to the buyer's timing, and actions based on

an obsessive desire to deliver what your customers want before your nearest

competitor does.”

Page 6: BusinessOnline on Big Data at SES Chicago 2013

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I’m Thad Kahlow @Tkahlow

+ CEO BusinessOnline

+ 14 years Digital Marketing

+ B2B or High Consideration + B2B Magazine Interactive Agency year

+ Top Agency: 2008, 2009, 2010

Page 7: BusinessOnline on Big Data at SES Chicago 2013

Allow me to

Digress…

Page 8: BusinessOnline on Big Data at SES Chicago 2013
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CEOs operate in a substantially more “volatile, uncertain and complex world”-IBM Study, face-to-face conversations with more than 1,500 CEO’s worldwide.

CEO: New normal

Page 10: BusinessOnline on Big Data at SES Chicago 2013

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+Adopt new channels to engage & stay connected with customers.

+Draw more insight from data…make customer intimacy priority #1

By…Re-Invent Customer Relationships:

Solution

CEO

“78% CEOs believe #1 goal is to get closer to customer”-IBM Study, face-to-face conversations with more than 1,500 CEO’s worldwide.

Page 11: BusinessOnline on Big Data at SES Chicago 2013

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Deliver Value to Empower Customers+ Digital revolution- forever changed

balance of power between individual & institution

Foster Lasting Connections+ Cultivate meaningful relationships…

throughout entire life cycle

Capture Value, Measure Results+ Quantify, analyze and justify the financial

results of marketing initiatives

Solution

CMO

Page 12: BusinessOnline on Big Data at SES Chicago 2013

Simplify please…

Why Data?Why Attribution?

Why now?

Page 13: BusinessOnline on Big Data at SES Chicago 2013

Because…Customers

have control & fundamentals

have changed…

Barriers to entry are minimal,

competition can enter and win quickly…

Customer Relationships become our

largest asset

Data is introduction,

enabler & insight

Page 14: BusinessOnline on Big Data at SES Chicago 2013

Win withData

Page 15: BusinessOnline on Big Data at SES Chicago 2013

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Programs that efficiently and

effectively generate leads that turn into

sales…

Majority of marketers do not

know which programs produce the leads that turn

into sales.

The Primary

Marketing Challenge

yet

Page 16: BusinessOnline on Big Data at SES Chicago 2013

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Customer Journey

Validated Score

AttributePersonalize

Close the Loop

Close the Loop

AttributeSuccess

DriveBusinessOutcomes

More Effective Sales

Strategy Starts

Data Framework

Page 17: BusinessOnline on Big Data at SES Chicago 2013

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Customer Journey

Validated Score

Attribute

Personalize

Close the Loop

Close the Loop

AttributeSuccess

DriveBusinessOutcomes

More Effective Sales

Strategy Starts

Data Framework

Page 18: BusinessOnline on Big Data at SES Chicago 2013

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Collect Data

Company Buying Journey

Page 19: BusinessOnline on Big Data at SES Chicago 2013

“…companies are seeing an average

15-18% Lift in Revenue… As result of implementingclosed-loop & Optimizing”

- Tina Moffett, Attribution Analysts Forrester Research

Page 20: BusinessOnline on Big Data at SES Chicago 2013

Close the LoopStep 1

Page 21: BusinessOnline on Big Data at SES Chicago 2013

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Awareness

Engagement

Conversion

SALE

Awareness: PPC , SEO, Display, Social, Email…

Usage Engagement: Bounce, Page Views, Visits, Frequency

Content Engagement: Newsletters, Blogs, Videos, Webcasts, product pages

Conversion: Request a quote, contact, dealer locator,

initiated lead, completed lead, registration, #800

Measured in isolation:-Single Channel to Lead : CPL

-Silo Engagement: Avg page views

Common

Approach to Measurement

Page 22: BusinessOnline on Big Data at SES Chicago 2013

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Close the Loop

Marketing to Sales Outcomes

Page 23: BusinessOnline on Big Data at SES Chicago 2013

Attribute SuccessStep 2

Page 24: BusinessOnline on Big Data at SES Chicago 2013

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Single TouchAssigns 100%credit to the lastor first exposure

First/Last Touch

Rules-BasedAssigns credit to eachinteraction based on specific business rules

Even Weights Custom Weights Time Decay Positioned Based

Statistically DrivenAssigns credit to eachinteraction based on adata driven model

Regression Model Probabilistic Model

Type

Approach

100% DisplayE-Mail Search

33% 33% 33%

DisplayE-Mail Search

27% 49% 24%

Basic Advanced

Primary

Attribution Model Types

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Single Touch

Ignores the bulk of the customer journey, overvaluing the first or last touch

Undervalues other influencers (and interactions), including sales efforts

Rules-based

Assigns arbitrary values to each specific marketing tactic

Subjective and lacks analytics rigor to determine weights

Statistically Driven

Can be expensive to execute

Some Marketers feel uncomfortable with an algorithmic, “black box” approach

Type

Pitfall

100%DisplayE-Mail Search

33% 33% 33%

DisplayE-Mail Search

27% 49% 24%

Basic Advanced

Model

Pitfalls

Page 26: BusinessOnline on Big Data at SES Chicago 2013

Validated Engagement Factors(Validated Attribution)

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VEF

Historical (validated) review of past behavior… to improve future outcomes:

Validated Engagement Factor

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+ Close the Loop: Data house in order: web activity + marketing automation + CRM (sale) in DWH

Closed Loop

Path to Success+ Determine path to success: what did prospects do before they became clients?

+Aggregate past 50+ clients- create statistically significant = validated

Validated Engagement Factors

Validated Attribution

Page 29: BusinessOnline on Big Data at SES Chicago 2013

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+ Normalize: + Analyze prospect engagement activity over 1- 24/mo+ Create a Normalized engagement score = 100 (mean).+ Lead engagement scores > 100 Score =

+ “demonstrating sales likelihood behavior”

+ Analyze for Insights: Prospects actively in the funnel

+ Engage: Get Personal+ Content personalization, + $ remarket, + click to chat+ Sales contact

Video

Engagement Factor Score

Validated Engagement Factors

Validated Attribution

Page 30: BusinessOnline on Big Data at SES Chicago 2013
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Company Attribution

Page 32: BusinessOnline on Big Data at SES Chicago 2013

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+Typically measured @ individual level

+KNOW B2B process is in groups (11 roles)

+Every known lead, we can have 10+ unknown visitors

+View opportunities at the aggregate company level

Attribution Video

Company Attribution

Page 33: BusinessOnline on Big Data at SES Chicago 2013
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7 visitors vs. 173 visitors= +17,200%

For all Marketers- give us our true credit”

Example

Individual vs. Company

Page 35: BusinessOnline on Big Data at SES Chicago 2013

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0

200

400

600

800

1000

1200

1400

1600

1800

Month 1 Mo. 2 Mo. 3 Mo. 4 Mo. 5 Mo. 6

Analysts

Marketing

IT Team

C-Level

Engagement Score

Most of these stakeholders were anonymous

B2B Sales Funnel

Stakeholders in Buying Process

Page 36: BusinessOnline on Big Data at SES Chicago 2013

Drive Business OutcomesStep 3

Page 37: BusinessOnline on Big Data at SES Chicago 2013

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General experience Personal experience Convert Increase sales

SALE

Create a Tailored Experience

Personalize+ Serve the Right :

Experience, Message, Content+ To the Right Person

+ In the Right: Role, & Industry+ At the Right time

+ On the right device+ Based on past success (Validated)

Page 38: BusinessOnline on Big Data at SES Chicago 2013

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Unbridled opportunity to Personalize

Amazon for B2B/High Consideration

+ Someone in your vertical

+ Someone in your role

+ At this stage of research

+ Looking for to solve this problem

+ Has found this piece of information valuable

Page 39: BusinessOnline on Big Data at SES Chicago 2013

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Future…

Predictive Modeling

Page 40: BusinessOnline on Big Data at SES Chicago 2013
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Thank You

Data Education

+ Data Maturity Model

+ White Paper: Closed Loop Marketing Attribution

+ Webinar: Close the Sales & Marketing Loop

@tkahlow

[email protected]

Page 42: BusinessOnline on Big Data at SES Chicago 2013

@BOLoptimized