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Using Big Data to Understand the Consumer
TANM Research & Marketing Conference
Insights For Success
October, 2013
Albuquerque, NM

R. A. Burrell
Using Big Data, Analytics and other Data to understand your
Chief Analyst at Internet Honey
Audience;
what they're doing, what they want and how to use it.
Sources & Uses
Real results are presented from several States,
DMOs, Reservations and Attractions. Your results
may vary significantly. The intention is for
demonstrative purposes only.
Conversions and Signals are a combination of
Reservations, Visitor Guide Requests or other
Signals of Intent To Travel.
We Will:
•Define Big Data
•Learn How to harness it
•Turn Big Data into knowledge
Big Data is:
•A bunch of data so massive and complex it’s
entirely useless
•It requires special technology and techniques
because it breaks conventional stuff
Who
Cares?
Who Cares?
The most successful marketers:
1.Harness data & optimize
2.Have content marketing
Data Structure
Visualize >>>

Measures
Measures

Aggregates
Aggregates
Summaries
Summaries

Facts
Facts

Big Data = massive
Big Data = massive
quantities
quantities
of small data
of small data
Data Sources
Where are the Facts?
Silos: Good for Grain, Not Data
Data Map

Sources
Signals of Intent to Travel
Reservations, Occupancy Rates, Lodging Tax
Keywords
Social Media
Email
Ad Impressions
Web Traffic
Call Center
Welcome Center
How Do We Harness It?
Best Practice*
Data Quality
Turn Big Data into
knowledge
•Competitive Research
•Optimize Engagement
•Measure Social
Competitive Research
Competition
Are We Winning?
Where? Who? How?
Search Volume by Market
Share of Voice
How many people are searching for us in
a Target Market?
US Population
Search Volume: NM, AZ, CO

Using Big Data, Analytics and other Data to
understand your Audience
Search Volume: NM, AZ, CO Indexed

Using Big Data, Analytics and other Data to
understand your Audience
Search Volume: NM, AZ

Using Big Data, Analytics and other Data to
understand your Audience
Search Volume: NM, AZ, CO DMOs
Indexed

Using Big Data, Analytics and other Data to
understand your Audience
Search Volume: NM, AZ DMO

Using Big Data, Analytics and other Data to
understand your Audience
Top NM Keywords

Using Big Data, Analytics and other Data to
understand your Audience
Competition
Frienemies
Other Value
•What’s coming downstream
•How effective are you at state level
•Market Share/Share of Voice
•How much goes from STO Brand to
Industry Partners Unattributed
Timing
DMO A

DMO B
Brands
DMO

STO
Other Value
•What’s coming downstream
•How effective are you at state level
•Market Share/Share of Voice
Optimize Engagement
Keywords
Are We Engaging?
Keyword Category by Market

Using Big Data, Analytics and other Data to
understand your Audience
Keyword Category by Market:
Non-Brand

Using Big Data, Analytics and other Data to
understand your Audience
Signal Rate by Keyword Category
Attraction
Brand
Hotels
Trip Planning
To Do
Signal Rate by Keyword Category
Attraction
Brand
Hotels
Trip Planning
To Do

Using Big Data, Analytics and other Data to
understand your Audience
Signal Rate by Keyword Category
Attraction
Brand
Hotels
Trip Planning
To Do

Using Big Data, Analytics and other Data to
understand your Audience
Keyword Category
Tells us how well we engage
them on what they were thinking
Not Engaging on To Do
Channels

Using Big Data, Analytics and other Data to
understand your Audience
Channels

Using Big Data, Analytics and other Data to
understand your Audience
Channels

Using Big Data, Analytics and other Data to
understand your Audience
Channels

Using Big Data, Analytics and other Data to
understand your Audience
Social Media’s Contribution
What does Social Media contribute to
Conversion?
Path To Conversion/Signal

Using Big Data, Analytics and other Data to
understand your Audience
Path To Conversion/Signal

Using Big Data, Analytics and other Data to
understand your Audience
Search Volume by Market
Share of Voice
Correlation of Branded Search Volume
and Social Media
NM Volume, Top Markets

Using Big Data, Analytics and other Data to
understand your Audience
AZ Volume, Top Markets

Using Big Data, Analytics and other Data to
understand your Audience
Engagement
Drive Market
Timing

Using Big Data, Analytics and other Data to
understand your Audience
Timing and RFV (Reason For Visit)

Using Big Data, Analytics and other Data to
understand your Audience
RFV In December

Using Big Data, Analytics and other Data to
understand your Audience
Engagement
Drive Market coming to visit
Friends and Relatives in Dec/Jan
They need what to do
Engagement
Drive Market coming to visit
Friends and Relatives in Dec/Jan
Locals need what to do with them
Social vs. Marketing Geography
Leads

Likes
Social vs. Marketing Geography
Leads

Likes
Engagement
Perhaps Email/Web for Leads
Social for Locals
We Did:
•Define Big Data
•Learn How to harness it
•Turn Big Data into knowledge
Thank You
www.slideshare.net/
richardaburrell

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TANM Research and Marketing Conference 2013, Albuquerque, NM

Editor's Notes

  1. not even close
  2. not even close
  3. not even close
  4. knowing what they’re doing, not what they’re telling us
  5. Dimensions: HHI, interests, demo, psycho
  6. takes years, you’re already behind∂
  7. happens to everyone
  8. not even close
  9. Demographics are used because they suggest Behavior. Until marketing changes Behavior, it’s wasted. We look for the closest thing to Behaviors
  10. knowing what they’re doing, not what they’re telling us
  11. it’s a behavior, signal
  12. AZ better on coasts, NM in Texas and drive market
  13. the STO and DMOs grouped, NM holds drive market to the east, not West
  14. volume in drive markets
  15. off season versus summer, timing very different
  16. of the people who went to STO, then DMO, matches, they converted later on DMO Brand by Keyword. Unattributed branding at STO
  17. the biggest impact isn’t from increasing budget, it’s increasing signal rate
  18. brand, and higher per capita in drive market
  19. farther is more planning, drive wants To Do and Attractions
  20. most frequent is organic and direct. and most organic is brand
  21. it’s a behavior, signal
  22. Social Media is neither first nor last
  23. it’s a behavior, signal
  24. frenzy goes to conversion
  25. lots of new, mostly locals
  26. FL coming in off season, drive markets are Dec/Jan or Jun/Jul, Extended/West is May but more evenly distributed
  27. How many days out are they planning by RFV, content planning
  28. content to market, events are drive
  29. not even close
  30. takes years, you’re already behind∂