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Experimenteren & personaliseren
binnen (grote) webshops
Agenda
14.30 – 14.40 Welkom
14.40 – 15.00 Tom van den Berg | Conversie Manager @ Online Dialogue
15.00 – 15.30 Niels Reijmer | Lead Data Analyst @ Bijenkorf
Pauze
16.00 – 16.30 Ellen Tonkens | Conversion Specialist @ wehkamp
16.30 – 17.00 Ask them anything
17.00 – 18.30 Borrel
Validation in every organization
Digital made validation possible
Validation to the max?
Validation to the max?
> 2.000 experiments
per day
> 7.000 experiments
7 years ago
> 2.000 experiments
live now
“Our success at Amazon
is a function of
how many experiments
we do per year, per month, per
week, per day…”
Jeff Bezos, CEO Amazon
More tests = more growth
3 Validation rules:
1. OEC
2. Effectiveness over Efficiency
3. Quantity over quality
3 Validation rules:
1. OEC
2. Effectiveness over Efficiency
3. Quantity over quality
First agree on your OEC
3 Validation rules:
1. OEC
2. Effectiveness over Efficiency
3. Quantity over quality
Effectiveness
Over efficiency
DiDo #27: Tom van den Berg (Online Dialogue)
But…
$
Even better…
ROI
ROI
Return
Investments
= ____________________
ITOptimization
ITOptimization
Validation
Useless to spend scarce resources onHurts our bussiness Brings value
Significantly positiveInconclusiveSignificantly negative
Validation
Hurts	 Doesn't	make	a	difference	 Improves	
0%	 25%	 50%	 75%	 100%	
25%60%15%
Typically, most optimization are ineffective
Typically, most optimization are ineffective
Hurts	 Doesn't	make	a	difference	 Improves	
0%	 25%	 50%	 75%	 100%	
Brings value
B
A
A B
A
 B
B
A
25%60%15%
25% - 15% = 10%
Validation boosts effectiveness!
Hurts	 Doesn't	make	a	difference	 Improves	
0%	 25%	 50%	 75%	 100%	
regret
Brings value
regret
3 Validation rules:
1. OEC
2. Effectiveness over Efficiency
3. Quantity over quality
What is easier? Double experiments in:
1. Quantity
2. Quality
What is easier? Double experiments in:
1. Quantity
2. Quality
But… there is a maximum
What’s your
Bandwidth?
test velocity
Validation is about Velocity!
Prevent Regret:
Run as much experiments as possible
Validation is about Velocity!
Validation = Culture
Validation is about reducing investments!
ROI
Increase Improvements
Lower Investments
= ____________________
What’s your
value / hour spend?
test velocity
You think & talk
too much!
Too much discussion
All new experiments
Velocity over Value
$$
Resources per validation
Costs of resources
Value per validation
Value per hour spend validating
Example Scenario 1 2
Uren per week 200 200
Uren per experiment 40 25
# experimenten p/w 5 8
# experimenten p/y 260 416
% winnaars 25% 20%
# winnaars 65 83
Value per winner €100K €100K
Revenu €6,5M €8,3M
Extra revenue
€1,8M
Example Scenario 1 2
Uren per week 200 200
Uren per experiment 40 25
# experimenten p/w 5 8
# experimenten p/y 260 416
% winnaars 25% 20%
# winnaars 65 83
Value per winner €100K €100K
Revenu €6,5M €8,3M
Extra revenue
€1,8M
Example Scenario 1 2
Uren per week 200 200
Uren per experiment 40 25
# experimenten p/w 5 8
# experimenten p/y 260 416
% winnaars 25% 20%
# winnaars 65 83
Value per winner €100K €100K
Revenu €6,5M €8,3M
Extra revenue
€1,8M
Example Scenario 1 2
Uren per week 200 200
Uren per experiment 40 25
# experimenten p/w 5 8
# experimenten p/y 260 416
% winnaars 25% 20%
# winnaars 65 83
Value per winner €100K €100K
Revenu €6,5M €8,3M
Extra revenue
€1,8M
Example Scenario 1 2
Uren per week 200 200
Uren per experiment 40 25
# experimenten p/w 5 8
# experimenten p/y 260 416
% winnaars 25% 20%
# winnaars 65 83
Value per winner €100K €100K
Revenu €6,5M €8,3M
Extra revenue
€1,8M
Example Scenario 1 2
Uren per week 200 200
Uren per experiment 40 25
# experimenten p/w 5 8
# experimenten p/y 260 416
% winnaars 25% 20%
# winnaars 65 83
Value per winner €100K €100K
Revenu €6,5M €8,3M
Extra revenue
€1,8M
Example Scenario 1 2
Uren per week 200 200
Uren per experiment 40 25
# experimenten p/w 5 8
# experimenten p/y 260 416
% winnaars 25% 20%
# winnaars 65 83
Value per winner €100K €100K
Revenu €6,5M €8,3M
Extra revenue
€1,8M
Example Scenario 1 2
Uren per week 200 200
Uren per experiment 40 25
# experimenten p/w 5 8
# experimenten p/y 260 416
% winnaars 25% 20%
# winnaars 65 83
Value per winner €100K €100K
Revenu €6,5M €8,3M
Extra revenue
€1,8M
Example Scenario 1 2
Uren per week 200 200
Uren per experiment 40 25
# experimenten p/w 5 8
# experimenten p/y 260 416
% winnaars 25% 20%
# winnaars 65 83
Value per winner €100K €100K
Revenu €6,5M €8,3M
Extra revenue
€1,8M
Example Scenario 1 2
Uren per week 200 200
Uren per experiment 40 25
# experimenten p/w 5 8
# experimenten p/y 260 416
% winnaars 25% 20%
# winnaars 65 83
Value per winner €100K €100K
Revenu €6,5M €8,3M
Extra revenue
€1,8M
€1,8M
Niet lullen, maar toetsen!

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DiDo #27: Tom van den Berg (Online Dialogue)

  • 1. SUBTITLE BELOW Experimenteren & personaliseren binnen (grote) webshops
  • 2. Agenda 14.30 – 14.40 Welkom 14.40 – 15.00 Tom van den Berg | Conversie Manager @ Online Dialogue 15.00 – 15.30 Niels Reijmer | Lead Data Analyst @ Bijenkorf Pauze 16.00 – 16.30 Ellen Tonkens | Conversion Specialist @ wehkamp 16.30 – 17.00 Ask them anything 17.00 – 18.30 Borrel
  • 3. Validation in every organization
  • 6. Validation to the max? > 2.000 experiments per day > 7.000 experiments 7 years ago > 2.000 experiments live now
  • 7. “Our success at Amazon is a function of how many experiments we do per year, per month, per week, per day…” Jeff Bezos, CEO Amazon
  • 8. More tests = more growth
  • 9. 3 Validation rules: 1. OEC 2. Effectiveness over Efficiency 3. Quantity over quality
  • 10. 3 Validation rules: 1. OEC 2. Effectiveness over Efficiency 3. Quantity over quality
  • 11. First agree on your OEC
  • 12. 3 Validation rules: 1. OEC 2. Effectiveness over Efficiency 3. Quantity over quality
  • 20. Useless to spend scarce resources onHurts our bussiness Brings value Significantly positiveInconclusiveSignificantly negative Validation
  • 21. Hurts Doesn't make a difference Improves 0% 25% 50% 75% 100% 25%60%15% Typically, most optimization are ineffective
  • 22. Typically, most optimization are ineffective Hurts Doesn't make a difference Improves 0% 25% 50% 75% 100% Brings value B A A B A B B A 25%60%15% 25% - 15% = 10%
  • 23. Validation boosts effectiveness! Hurts Doesn't make a difference Improves 0% 25% 50% 75% 100% regret Brings value regret
  • 24. 3 Validation rules: 1. OEC 2. Effectiveness over Efficiency 3. Quantity over quality
  • 25. What is easier? Double experiments in: 1. Quantity 2. Quality
  • 26. What is easier? Double experiments in: 1. Quantity 2. Quality
  • 27. But… there is a maximum What’s your Bandwidth?
  • 28. test velocity Validation is about Velocity! Prevent Regret: Run as much experiments as possible
  • 29. Validation is about Velocity!
  • 31. Validation is about reducing investments! ROI Increase Improvements Lower Investments = ____________________ What’s your value / hour spend?
  • 32. test velocity You think & talk too much!
  • 33. Too much discussion All new experiments
  • 34. Velocity over Value $$ Resources per validation Costs of resources Value per validation Value per hour spend validating
  • 35. Example Scenario 1 2 Uren per week 200 200 Uren per experiment 40 25 # experimenten p/w 5 8 # experimenten p/y 260 416 % winnaars 25% 20% # winnaars 65 83 Value per winner €100K €100K Revenu €6,5M €8,3M Extra revenue €1,8M
  • 36. Example Scenario 1 2 Uren per week 200 200 Uren per experiment 40 25 # experimenten p/w 5 8 # experimenten p/y 260 416 % winnaars 25% 20% # winnaars 65 83 Value per winner €100K €100K Revenu €6,5M €8,3M Extra revenue €1,8M
  • 37. Example Scenario 1 2 Uren per week 200 200 Uren per experiment 40 25 # experimenten p/w 5 8 # experimenten p/y 260 416 % winnaars 25% 20% # winnaars 65 83 Value per winner €100K €100K Revenu €6,5M €8,3M Extra revenue €1,8M
  • 38. Example Scenario 1 2 Uren per week 200 200 Uren per experiment 40 25 # experimenten p/w 5 8 # experimenten p/y 260 416 % winnaars 25% 20% # winnaars 65 83 Value per winner €100K €100K Revenu €6,5M €8,3M Extra revenue €1,8M
  • 39. Example Scenario 1 2 Uren per week 200 200 Uren per experiment 40 25 # experimenten p/w 5 8 # experimenten p/y 260 416 % winnaars 25% 20% # winnaars 65 83 Value per winner €100K €100K Revenu €6,5M €8,3M Extra revenue €1,8M
  • 40. Example Scenario 1 2 Uren per week 200 200 Uren per experiment 40 25 # experimenten p/w 5 8 # experimenten p/y 260 416 % winnaars 25% 20% # winnaars 65 83 Value per winner €100K €100K Revenu €6,5M €8,3M Extra revenue €1,8M
  • 41. Example Scenario 1 2 Uren per week 200 200 Uren per experiment 40 25 # experimenten p/w 5 8 # experimenten p/y 260 416 % winnaars 25% 20% # winnaars 65 83 Value per winner €100K €100K Revenu €6,5M €8,3M Extra revenue €1,8M
  • 42. Example Scenario 1 2 Uren per week 200 200 Uren per experiment 40 25 # experimenten p/w 5 8 # experimenten p/y 260 416 % winnaars 25% 20% # winnaars 65 83 Value per winner €100K €100K Revenu €6,5M €8,3M Extra revenue €1,8M
  • 43. Example Scenario 1 2 Uren per week 200 200 Uren per experiment 40 25 # experimenten p/w 5 8 # experimenten p/y 260 416 % winnaars 25% 20% # winnaars 65 83 Value per winner €100K €100K Revenu €6,5M €8,3M Extra revenue €1,8M
  • 44. Example Scenario 1 2 Uren per week 200 200 Uren per experiment 40 25 # experimenten p/w 5 8 # experimenten p/y 260 416 % winnaars 25% 20% # winnaars 65 83 Value per winner €100K €100K Revenu €6,5M €8,3M Extra revenue €1,8M €1,8M
  • 45. Niet lullen, maar toetsen!