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TALE ABOUT DATA
#MAMA
Lior Barak
@liorb @taleaboutdata
July 19
SEARCHING FOR A BOOK IN THE LIBRARY
Where is my book?
2
84% OF CEOS CONCERNED ABOUT THE QUALITY OF DATA
70% Of Marketers Believe That The Customer Data Their Organizations Are Using For Marketing
Is Low Quality
3
Data: SmartFocus on Data-
Driven Marketing
Image from Pixabay
THE THREE PILLARS OF DATA
5
• Raw data accessible by your Data
engineer/ Data scientist
• Aggregated Tables to be used by your
analyst/ you
• Visualization data to be used by you/
upper management.
Limiting The Access To Data, Will Simplify The Decision Making And Prevent Mistakes
QA YOUR DATA
Create Automated Checking Cycles As Well As Manual Once
6
Image by Gerd Altmann from
Pixabay
VISUALIZATION TOOLS
• Enabling users to
explore their data
• Easy to create amazing
visualization
• Can connect to many
data APIs
• Can share visualization
easily
Tableau
7
• Strong in security
• Desktop version is free
• Best suitable for big
organizations
• Using cubes
Microstrategy
• Desktop version is free
• Easy to use
• Limited by data APIs
• Can be published on
office 365
Power BI
• Can build easy ETL
process on the server
• SQL queries can be
shared with other users
with a github look a like
• Visualization in good
quality
Looker
DATA INFRASTRUCTURE
It’s The Base For Any Future Automation You Will Do
8
Facebook
API
Google GDN
API
Google SEA
API
Google
Analytics
API
AppsFlyer
API
Mongo DB
Costs Table Performance Table
DWH
Attribution Table Event Table
Marketing table Finance table Product table
PICK LESS KPIS AND
FOCUS MORE ON
ACTIONS
9
BASIC RULES TO HANDLE AUTOMATION
To Drive Automation You Need To Avoid Biased Decisions
• Consume costs from the partners directly
• Consume attribution data from non-biased tool
• One algorithm won’t solve all your problems
• Use tags for your data
• Differentiate between Reach and Retargeting
campaigns (metadata)
• Keep things simple
Check list before starting automation
10
BUDGET AND REVENUE FORECAST
To Use Each Euro You Spend To Get Best ROI
Help your team to invest the budget in the best possible
way.
• Always leave a place for experiments
• Allow and encourage people to challenge you
• Build different models and switch between them
Key Learnings
11
CAMPAIGN AUTOMATION AND OPTIMIZATION
To Be Able To Produce Hundred If Not Thousands Of Campaigns
Help your team to get rid of the manual work
Campaign creation
• Start with simple spreadsheet
• Create some frontend for your users
• Track your campaigns and creatives
Optimization
• First roll should expose only 25% of your campaigns
• Allow the marketing managers to approve new bids
Key Learnings
12
HOW SHOULD YOU DRIVE AUTOMATION
Not The Way You Think…
13
Control Challenger
Images by Pixabay
14
ZALANDO TO CUT 250 EMPLOYEES
Wasn’t The Real Reason, But Don’t Be Surprised If It Will Soon
Percentage of workers in jobs at high and medium risk of automation
https://www.thelocal.de/20180309/zalando-to-replace-up-to-250-jobs-with-
algorithms
REPORTING SHOULD BE SIMPLE
From Action Move To Controlling
15
Image by Gerd Altmann from
Pixabay
HELP YOUR USERS
FIND THE RIGHT
BOOK WHEN THEY
NEED IT
16
Photo by Luis Quintero from Pexels
lior@taleaboutdata.com
+49 (0) 1522 3594515
@liorb
Marketing Data
Automation Consultant
Lior Barak
MARKETING
AUTOMATION

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DATA: Automation: Success Starts with Data

  • 1. TALE ABOUT DATA #MAMA Lior Barak @liorb @taleaboutdata July 19
  • 2. SEARCHING FOR A BOOK IN THE LIBRARY Where is my book? 2
  • 3. 84% OF CEOS CONCERNED ABOUT THE QUALITY OF DATA 70% Of Marketers Believe That The Customer Data Their Organizations Are Using For Marketing Is Low Quality 3 Data: SmartFocus on Data- Driven Marketing Image from Pixabay
  • 4. THE THREE PILLARS OF DATA 5 • Raw data accessible by your Data engineer/ Data scientist • Aggregated Tables to be used by your analyst/ you • Visualization data to be used by you/ upper management. Limiting The Access To Data, Will Simplify The Decision Making And Prevent Mistakes
  • 5. QA YOUR DATA Create Automated Checking Cycles As Well As Manual Once 6 Image by Gerd Altmann from Pixabay
  • 6. VISUALIZATION TOOLS • Enabling users to explore their data • Easy to create amazing visualization • Can connect to many data APIs • Can share visualization easily Tableau 7 • Strong in security • Desktop version is free • Best suitable for big organizations • Using cubes Microstrategy • Desktop version is free • Easy to use • Limited by data APIs • Can be published on office 365 Power BI • Can build easy ETL process on the server • SQL queries can be shared with other users with a github look a like • Visualization in good quality Looker
  • 7. DATA INFRASTRUCTURE It’s The Base For Any Future Automation You Will Do 8 Facebook API Google GDN API Google SEA API Google Analytics API AppsFlyer API Mongo DB Costs Table Performance Table DWH Attribution Table Event Table Marketing table Finance table Product table
  • 8. PICK LESS KPIS AND FOCUS MORE ON ACTIONS 9
  • 9. BASIC RULES TO HANDLE AUTOMATION To Drive Automation You Need To Avoid Biased Decisions • Consume costs from the partners directly • Consume attribution data from non-biased tool • One algorithm won’t solve all your problems • Use tags for your data • Differentiate between Reach and Retargeting campaigns (metadata) • Keep things simple Check list before starting automation 10
  • 10. BUDGET AND REVENUE FORECAST To Use Each Euro You Spend To Get Best ROI Help your team to invest the budget in the best possible way. • Always leave a place for experiments • Allow and encourage people to challenge you • Build different models and switch between them Key Learnings 11
  • 11. CAMPAIGN AUTOMATION AND OPTIMIZATION To Be Able To Produce Hundred If Not Thousands Of Campaigns Help your team to get rid of the manual work Campaign creation • Start with simple spreadsheet • Create some frontend for your users • Track your campaigns and creatives Optimization • First roll should expose only 25% of your campaigns • Allow the marketing managers to approve new bids Key Learnings 12
  • 12. HOW SHOULD YOU DRIVE AUTOMATION Not The Way You Think… 13 Control Challenger Images by Pixabay
  • 13. 14 ZALANDO TO CUT 250 EMPLOYEES Wasn’t The Real Reason, But Don’t Be Surprised If It Will Soon Percentage of workers in jobs at high and medium risk of automation https://www.thelocal.de/20180309/zalando-to-replace-up-to-250-jobs-with- algorithms
  • 14. REPORTING SHOULD BE SIMPLE From Action Move To Controlling 15 Image by Gerd Altmann from Pixabay
  • 15. HELP YOUR USERS FIND THE RIGHT BOOK WHEN THEY NEED IT 16 Photo by Luis Quintero from Pexels
  • 16. lior@taleaboutdata.com +49 (0) 1522 3594515 @liorb Marketing Data Automation Consultant Lior Barak MARKETING AUTOMATION