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WAW 27 feb. 2019
10 years of Digital Analytics experience
From the consultancy side to client-side
Creuna, Kazaa, Jubii, Valtech,
IIH Nordic, Ekstra Bladet
Head of Digital Analytics Platforms
Lars Gundersen
40%
135.000.000 events pr. day
- Behavioral data
- Spacemanagement data
- Detailed front page data
- User data
- Sales data
- CMS data
- Ad’s data
Different kinds of data
• Google Analytics 360
• Google BigQuery
• AWS Kinesis, Redshift, S3, Athena,
Redshift Spectrum
• Google Tag Manager 360
• AWS Sagemaker
• R and Python
• Klipfolio and custom made dashboards
Our Analytics setup
Ad Hoc analysis
Ongoing reporting
Technical analytics implementation
Data science projects
Various business support
Our services
”We don’t need numbers”
”We need numbers”
To have one truth
To get people to trust numbers in general
Avoid that wrong decisions are made
Why we restrict access to data
Remove all unnecessary noise
Only show reporting that is actionable
Adding goals where we can
Avoid that people make up their own truth
Keep it simple and actionable
- Speed is important
- Numbers needs to justify
placements of articles
- The “show more skin trick”
should be avoided ☺
- We still need to keep our
unique editorial mix – Its our
DNA!
Our front page is our store window
1 hour 2 hours 3 hours
News article lifetime
Optimizing content as soon as
possible is crucial
Thumbnails, Related articles,
article lists etc.
Metrics like CTR, Video
Conversionrate etc.
Moving away from ”fire & forget”
- Strategic
- Paid content
- Payflow
- SOME
- Marketing (Internal / External)
- Development
- Video
- Special editorial productions
- Ad Sales
- Financial Accounting
Other areas of work
Thanks!
@larsgundersen
dk.linkedin.com/in/larsgundersen
We are looking for Junior Data Scientists & Data Engineers ☺

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Lars gundersen slides

  • 1. WAW 27 feb. 2019
  • 2.
  • 3. 10 years of Digital Analytics experience From the consultancy side to client-side Creuna, Kazaa, Jubii, Valtech, IIH Nordic, Ekstra Bladet Head of Digital Analytics Platforms Lars Gundersen
  • 4. 40%
  • 5. 135.000.000 events pr. day - Behavioral data - Spacemanagement data - Detailed front page data - User data - Sales data - CMS data - Ad’s data Different kinds of data
  • 6. • Google Analytics 360 • Google BigQuery • AWS Kinesis, Redshift, S3, Athena, Redshift Spectrum • Google Tag Manager 360 • AWS Sagemaker • R and Python • Klipfolio and custom made dashboards Our Analytics setup
  • 7.
  • 8. Ad Hoc analysis Ongoing reporting Technical analytics implementation Data science projects Various business support Our services
  • 9.
  • 10. ”We don’t need numbers” ”We need numbers”
  • 11.
  • 12.
  • 13. To have one truth To get people to trust numbers in general Avoid that wrong decisions are made Why we restrict access to data
  • 14.
  • 15. Remove all unnecessary noise Only show reporting that is actionable Adding goals where we can Avoid that people make up their own truth Keep it simple and actionable
  • 16.
  • 17.
  • 18.
  • 19. - Speed is important - Numbers needs to justify placements of articles - The “show more skin trick” should be avoided ☺ - We still need to keep our unique editorial mix – Its our DNA! Our front page is our store window
  • 20. 1 hour 2 hours 3 hours News article lifetime
  • 21.
  • 22. Optimizing content as soon as possible is crucial Thumbnails, Related articles, article lists etc. Metrics like CTR, Video Conversionrate etc. Moving away from ”fire & forget”
  • 23. - Strategic - Paid content - Payflow - SOME - Marketing (Internal / External) - Development - Video - Special editorial productions - Ad Sales - Financial Accounting Other areas of work
  • 24. Thanks! @larsgundersen dk.linkedin.com/in/larsgundersen We are looking for Junior Data Scientists & Data Engineers ☺