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Making data matter
Timo Luoto 25.10.2016
1. Business perspective: Why?
2. Understand your data: What?
3. Benefit from your data: How?
Contents
2
3
• Acquiring data is always an investment.
• Quality of data, is the relevancy of it.
4
There’s no such thing as free data
5
• We can track practically anything and everything.
• The amount of data does not correlate with value.
6
Know what you are paying for
7
• To personalise
= Show the right products to the right people
• To be customer centric
= Engage with customer from the very first touchpoint onwards
8
What can we use data for?
9
“Coffee is what we sell, but it’s not the business we’re in”
Howard Schultz, CEO, Starbucks
Great customer experience sells more
10
Turning ordinary to extraordinary
1. Treat them as well as you know them
2. Offer them useful recommendations
3. Make them come back for more
Know your customer - who are you selling to
11
12
Find your customers (behind the data)
13
Those who come to the site early in the day or week?
Customers, who need the relevant information in their
profession, are more subjective to pay for the info.
14
Match the KPI with your goal
15
Conversion rate can increase or decrease even if you
have done something wrong or nothing at all.
Maybe a poorly designed marketing campaign just
ended or some other misguiding link is in the wrong
place.
CR bad, sales good → What is your goal?
16
17
Better UX → better business
Speed
With proper use of data, we can cut down costs by not trying things just
based on visions, ideas and opinions.
Insight
Valuable data tells relevant information about our customers so tracking is
our equivalent of a store manager listening to her clients.
18
Speed and a lot of knowledge
19
Thank You
www.frosmo.com
Timo Luoto
CBDO
timo.luoto@frosmo.com
+358 405 866 760

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Turn meaningful data into revenue - Timo Luoto, FROSMO at FrosmoX16

  • 1. Making data matter Timo Luoto 25.10.2016
  • 2. 1. Business perspective: Why? 2. Understand your data: What? 3. Benefit from your data: How? Contents 2
  • 3. 3
  • 4. • Acquiring data is always an investment. • Quality of data, is the relevancy of it. 4 There’s no such thing as free data
  • 5. 5
  • 6. • We can track practically anything and everything. • The amount of data does not correlate with value. 6 Know what you are paying for
  • 7. 7
  • 8. • To personalise = Show the right products to the right people • To be customer centric = Engage with customer from the very first touchpoint onwards 8 What can we use data for?
  • 9. 9 “Coffee is what we sell, but it’s not the business we’re in” Howard Schultz, CEO, Starbucks
  • 10. Great customer experience sells more 10 Turning ordinary to extraordinary 1. Treat them as well as you know them 2. Offer them useful recommendations 3. Make them come back for more
  • 11. Know your customer - who are you selling to 11
  • 12. 12
  • 13. Find your customers (behind the data) 13 Those who come to the site early in the day or week? Customers, who need the relevant information in their profession, are more subjective to pay for the info.
  • 14. 14
  • 15. Match the KPI with your goal 15 Conversion rate can increase or decrease even if you have done something wrong or nothing at all. Maybe a poorly designed marketing campaign just ended or some other misguiding link is in the wrong place.
  • 16. CR bad, sales good → What is your goal? 16
  • 17. 17
  • 18. Better UX → better business Speed With proper use of data, we can cut down costs by not trying things just based on visions, ideas and opinions. Insight Valuable data tells relevant information about our customers so tracking is our equivalent of a store manager listening to her clients. 18
  • 19. Speed and a lot of knowledge 19