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ARE YOU DROWNING
IN DATA?




1
YOUR SPEAKER IS…
Graham Cooke
QuBit founder and CEO

@thegrahamcooke
@qubitproducts




2
3
WEBSITES ARE NOW MORE POWERFUL THAN EVER!




4
Website’s 15 years ago...




            If you build it they will come
2002   2012
1995!
2002   2012
HOORAY FOR CUSTOMER LOYALTY
PROGRAMMES!!
WE DON’T KNOW A LOT ABOUT OUR
CUSTOMERS
                   SIMPLY PUT, WE DON’T KNOW OUR CUSTOMERS WELL ENOUGH!


                                                        WE DON’T KNOW:
 WE KNOW:                                               Items browsed
 Products bought                                        Filter preferences
 Shop Attendant                                         Prices of items
 Price tag                                              Items put in basket
 Name                   BUYERS         BROWSERS         Pages visited
 Address                   3%             97%           Purchase intent
 Age                                                    Time on site
 Contact details                                        Reason for leaving
 Time / Date                                            Level of engagement
                                                        Number of site visits
COMMON CHALLENGES WITH CUSTOMER DATA ONLINE
      IT’S VAST…..               IT’S DISPERATE…..




IT’S NOT GRANULAR…   IT’S UNSTRUCTURED…   IT‘S CHALLENGING!
DATA VOLUMES

                                   Data will grow over the
                                   next five years
 “more data will be created in the next
  four years than in the history of the
                 planet”
      Source: Forrester 2011 and Mark Hund CEO HP
DATA VOLUMES

To put things in perspective: Every second (at peak)

                                  3.6k secs uploaded


                                  10k tweets


                                  7k data pings

         Source: Forrester 2011
DATA SILOES




      Source:QuBit
DATA SILOES




      Avg. 30 Tags per website
      Source: Krux Digital 2011
DATA GRANULARITY

                   MR AVERAGE

 AVERAGES
 ARE NOT
 ALWAYS
 REPRESENTATIVE
DATA GRANULARITY


          VISIT CONVERSION RATE =
                    2.5%

      VISITOR CONVERSION RATE =
                 7.8%


      Source: QuBit Internal – Travel Focus 2011
DATA STRUCTURE


                                    of all data is
70-80%                              unstructured

10-50X                              faster growth than
                                    structured
      Source: Computer World 2010
DATA STRUCTURE

Making unstructured data structured

                                Trending
                                Sentiment


                                            Specific
                                Topics
                                            Feedback




          Source: QuBit
THE BIG DATA CHALLENGE

                                                of companies struggling
                                                to gain valuable insights
                                                from customer data

                                                    Shortage of data
                                                    scientists by the year
                                                    2019
     Source: 1: Retail Bulletin, 2: McKinsey 2011
1   Tie your Data together

2   Know your online customer

3   Get something for nothing using free tools

4   If its working, promote it

5   Avoid subjective testing
1. TIE YOUR DATA TOGETHER
Being able to tie data silos together will give you a competitive advantage. Beware of
making decisions based on isolated or incomplete data
TOP LEVEL IDENTIFICATION IS ONLY THE
FIRST STEP TO IMPROVING THE WEBSITE
      WHERE IS THE PROBLEM AREA OF THE SITE?
 TRAFFIC SOURCE




                                         PAGE TYPE
TOP LEVEL IDENTIFICATION IS ONLY THE
FIRST STEP TO IMPROVING THE WEBSITE
WHERE IS THE PROBLEM AREA OF THE SITE?                                       WHAT IS THE SPECIFIC ISSUE?
                                                                              SEARCH          OFFER              SEARCH
 TRAFFIC SOURCE




                                                                               50%             15%                10%

                                                                              EMAIL           OFFER              PRICE


                                  PAGE TYPE
                                                                                3%              2%                  5%
WHAT FEEDBACK DID THEY LEAVE?                                                                PRICE OFFERS

                   I would have liked the site to state whether or not
                   you can bring hand luggage on bored the plane for                           14%
                   free or not.

                                                                                             OTHER
22%                I don't like that prices are always for 2 people. There
                   are a lot of single people who want to go on holiday -
                                                                                                1%
OF ALL FEEDBACK    particularly this time of the year.
RELATED TO PRICE

                   I want to come back later and find the same price but                   MOVING PRICE BASED CONTENT ABOVE THE
                   am worried I won’t find the same deal                     HYPOTHESIS    FOLD WILL RESULT IN A POSITIVE EXPERIENCE
                                                                                           FOR USERS WITH A PRICE FOCUS
2. KNOW YOUR ONLINE CUSTOMER
Listening to your customers is critical when building a digital strategy. Using customer
data such as Web Analytics and Customer Feedback can be a valuable source of
insight but customer segmentation is required to uncover the biggest opportunities
Slide that depicts th
TOP 10 REASONS TRAVEL WEBSITES
DON’T CONVERT VISITORS
                    1. PRICE
                  2. SITE FUNCTIONALITY
 TOP              3. ON SITE SEARCH
                  4. PRODUCT DESCRIPTION
                  5. ADDITIONAL CHARGES
       22%        6. NAVIGATION
                  7. DISCOUNT/SALE
                  8. ERRORS/BUGS
                  9. LATENCY
                  10. AVAILABILITY
SEGMENTATION BASED ON PROPENSITY AND
VALUE
        PURCHASERS   CLOSE TO   EARLY STAGE   WILL NEVER
                     PURCHASE                 PURCHASE


LOW
VALUE




MID
VALUE




HIGH
VALUE
3. GET SOMETHING FOR NOTHING WITH FREE
TOOLS
There has been an explosion of technology solutions over the last 5 years and there are
some great FREE tools that you as a Marketer can add to your tool kit
4. IF ITS WORKING, PROMOTE IT
Businesses that view their marketing and website activity as a cost of sale are ultimately
going to win in an increasingly competitive space where traffic acquisition costs
continue to rise
USING MARKETING ATTRIBUTION TO SUPPORT
A COST OF SALE MODEL
5. AVOID SUBJECTIVE TESTING
Any changes that you make to your site should have a defined purpose. Asking why a
signal, variation or element is being changed should be the first step to any successful
optimisation process
THE HIT AND MASS WITH TESTING




                     Test 2
                                               Test 1

 THE BLIND TESTERS            THE OPPORTUNTY COST       THE HIPPO SYNDROME
DATA DRIVEN TESTING TO UNLOCK
INEFFICIENCIES AND VALUE
45% uplift in revenue from effective prioritisation of opportunities
  INCREMENTAL REVENUE
  OPPORTUNITY




                                  EASE OF IMPLEMENTATION

                  “Wow, great improvement. Didn’t really believe the results at first! Great work all round. Amazing what can
                                                                            be done, when you have the right data to go by.”
                                                                                            (Sarah Strong, Head of Marketing)
BY SEGMENTING USERS YOU CAN
DELIVER A MORE PERSONALISED
SOLUTION

                        CASE STUDY




 10%          CONVERSION INCREASE FROM GENERIC
              TRAFFIC
BUSINESSES THAT TURN THEIR DATA ON
 COLLECT    COMBINE   IDENTIFY    TEST     ACTIVATE




  0-1 mth   0-1 mth   1-2 mth    2-3 mth    3+ mth
ANY QUESTIONS?
Please email us for all research and case studies presented today.


graham@qubitproducts.com

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Are you drowning in data - Graham Cooke QuBit

  • 2. YOUR SPEAKER IS… Graham Cooke QuBit founder and CEO @thegrahamcooke @qubitproducts 2
  • 3. 3
  • 4. WEBSITES ARE NOW MORE POWERFUL THAN EVER! 4
  • 5. Website’s 15 years ago... If you build it they will come
  • 6.
  • 7. 2002 2012
  • 9. 2002 2012
  • 10.
  • 11. HOORAY FOR CUSTOMER LOYALTY PROGRAMMES!!
  • 12. WE DON’T KNOW A LOT ABOUT OUR CUSTOMERS SIMPLY PUT, WE DON’T KNOW OUR CUSTOMERS WELL ENOUGH! WE DON’T KNOW: WE KNOW: Items browsed Products bought Filter preferences Shop Attendant Prices of items Price tag Items put in basket Name BUYERS BROWSERS Pages visited Address 3% 97% Purchase intent Age Time on site Contact details Reason for leaving Time / Date Level of engagement Number of site visits
  • 13. COMMON CHALLENGES WITH CUSTOMER DATA ONLINE IT’S VAST….. IT’S DISPERATE….. IT’S NOT GRANULAR… IT’S UNSTRUCTURED… IT‘S CHALLENGING!
  • 14. DATA VOLUMES Data will grow over the next five years “more data will be created in the next four years than in the history of the planet” Source: Forrester 2011 and Mark Hund CEO HP
  • 15. DATA VOLUMES To put things in perspective: Every second (at peak) 3.6k secs uploaded 10k tweets 7k data pings Source: Forrester 2011
  • 16. DATA SILOES Source:QuBit
  • 17. DATA SILOES Avg. 30 Tags per website Source: Krux Digital 2011
  • 18. DATA GRANULARITY MR AVERAGE AVERAGES ARE NOT ALWAYS REPRESENTATIVE
  • 19. DATA GRANULARITY VISIT CONVERSION RATE = 2.5% VISITOR CONVERSION RATE = 7.8% Source: QuBit Internal – Travel Focus 2011
  • 20. DATA STRUCTURE of all data is 70-80% unstructured 10-50X faster growth than structured Source: Computer World 2010
  • 21. DATA STRUCTURE Making unstructured data structured Trending Sentiment Specific Topics Feedback Source: QuBit
  • 22. THE BIG DATA CHALLENGE of companies struggling to gain valuable insights from customer data Shortage of data scientists by the year 2019 Source: 1: Retail Bulletin, 2: McKinsey 2011
  • 23. 1 Tie your Data together 2 Know your online customer 3 Get something for nothing using free tools 4 If its working, promote it 5 Avoid subjective testing
  • 24. 1. TIE YOUR DATA TOGETHER Being able to tie data silos together will give you a competitive advantage. Beware of making decisions based on isolated or incomplete data
  • 25. TOP LEVEL IDENTIFICATION IS ONLY THE FIRST STEP TO IMPROVING THE WEBSITE WHERE IS THE PROBLEM AREA OF THE SITE? TRAFFIC SOURCE PAGE TYPE
  • 26. TOP LEVEL IDENTIFICATION IS ONLY THE FIRST STEP TO IMPROVING THE WEBSITE WHERE IS THE PROBLEM AREA OF THE SITE? WHAT IS THE SPECIFIC ISSUE? SEARCH OFFER SEARCH TRAFFIC SOURCE 50% 15% 10% EMAIL OFFER PRICE PAGE TYPE 3% 2% 5% WHAT FEEDBACK DID THEY LEAVE? PRICE OFFERS I would have liked the site to state whether or not you can bring hand luggage on bored the plane for 14% free or not. OTHER 22% I don't like that prices are always for 2 people. There are a lot of single people who want to go on holiday - 1% OF ALL FEEDBACK particularly this time of the year. RELATED TO PRICE I want to come back later and find the same price but MOVING PRICE BASED CONTENT ABOVE THE am worried I won’t find the same deal HYPOTHESIS FOLD WILL RESULT IN A POSITIVE EXPERIENCE FOR USERS WITH A PRICE FOCUS
  • 27. 2. KNOW YOUR ONLINE CUSTOMER Listening to your customers is critical when building a digital strategy. Using customer data such as Web Analytics and Customer Feedback can be a valuable source of insight but customer segmentation is required to uncover the biggest opportunities
  • 29. TOP 10 REASONS TRAVEL WEBSITES DON’T CONVERT VISITORS 1. PRICE 2. SITE FUNCTIONALITY TOP 3. ON SITE SEARCH 4. PRODUCT DESCRIPTION 5. ADDITIONAL CHARGES 22% 6. NAVIGATION 7. DISCOUNT/SALE 8. ERRORS/BUGS 9. LATENCY 10. AVAILABILITY
  • 30. SEGMENTATION BASED ON PROPENSITY AND VALUE PURCHASERS CLOSE TO EARLY STAGE WILL NEVER PURCHASE PURCHASE LOW VALUE MID VALUE HIGH VALUE
  • 31. 3. GET SOMETHING FOR NOTHING WITH FREE TOOLS There has been an explosion of technology solutions over the last 5 years and there are some great FREE tools that you as a Marketer can add to your tool kit
  • 32.
  • 33. 4. IF ITS WORKING, PROMOTE IT Businesses that view their marketing and website activity as a cost of sale are ultimately going to win in an increasingly competitive space where traffic acquisition costs continue to rise
  • 34.
  • 35. USING MARKETING ATTRIBUTION TO SUPPORT A COST OF SALE MODEL
  • 36. 5. AVOID SUBJECTIVE TESTING Any changes that you make to your site should have a defined purpose. Asking why a signal, variation or element is being changed should be the first step to any successful optimisation process
  • 37. THE HIT AND MASS WITH TESTING Test 2 Test 1 THE BLIND TESTERS THE OPPORTUNTY COST THE HIPPO SYNDROME
  • 38. DATA DRIVEN TESTING TO UNLOCK INEFFICIENCIES AND VALUE 45% uplift in revenue from effective prioritisation of opportunities INCREMENTAL REVENUE OPPORTUNITY EASE OF IMPLEMENTATION “Wow, great improvement. Didn’t really believe the results at first! Great work all round. Amazing what can be done, when you have the right data to go by.” (Sarah Strong, Head of Marketing)
  • 39. BY SEGMENTING USERS YOU CAN DELIVER A MORE PERSONALISED SOLUTION CASE STUDY 10% CONVERSION INCREASE FROM GENERIC TRAFFIC
  • 40. BUSINESSES THAT TURN THEIR DATA ON COLLECT COMBINE IDENTIFY TEST ACTIVATE 0-1 mth 0-1 mth 1-2 mth 2-3 mth 3+ mth
  • 41. ANY QUESTIONS? Please email us for all research and case studies presented today. graham@qubitproducts.com