CTAC 2024 Valencia - Henrik Hanke - Reduce to the max - slideshare.pdf
Emerce GAUC 2020 - Lars Harmsen - Beerwulf - Brewing a culture of data-driven decisions
1.
2. Brewing a culture of
data-driven decisions
Lars Harmsen
Product Owner Experimentation
lars.harmsen@beerwulf.com
3. About Beerwulf
Disruption2: Craft x Digital
x
1955
1957
1959
1961
1963
1965
1967
1969
1971
1973
1975
1977
1979
1981
1983
1985
1987
1989
1991
1993
1995
1997
1999
2001
2003
2005
2007
2009
2011
2013
2015
September 2015
4,000+ active breweries
according to the
Brewers Association
1987
H.R. 1337 signed by
Jimmy Carter
legalizes homebrewing
1995
Boston Beer Co.
IPO (Sam Adams)
2005
The last annual drop
in operating breweries
was a decade ago
Publicadmin.
Chemicals
Agriculture
Energy
Construction
Education
Food
Manufacturing
Healthcare
Professionalsvcs
Home&Garden
Insurance
Banking
Logistics
FMCG
Automotive
Mobility
Fashion
Consumer electronics
Media
Travel
Stateofdisruption
Point of disruption journey
14. • The data is not accessible
• It takes too much time
• It doesn’t tell me what I want
• I am not sure what I’m looking at
• I don’t think it is possible to get the data I want
• I don’t need data
• Not aware of potential damage if wrong decision is made
• And many, many more…
Data-driven decision making
Why we weren’t making data-driven decisions
“
”
15. Data-driven decision making
Game plan – The ‘Simple’ Version
1 42 3
Make data easily
accessible & insightful
Coach, teach, train,
& challenge
to use data
Everyone uses data
to make decisions
Beerwulf becomes
#1 beer platform
16. How do we make data accessible
and insightful?
17. Step 1 - Make data easily accessible & insightful
Start with the basics
2017
2017
2017
18. Step 1 - Make data easily accessible & insightful
Start with the basics
Why
What & Where
2017
2017
2017
19. Step 1 - Make data easily accessible & insightful
Your tooling landscape evolves over time
Why
What & Where
202020202019
2019
2019
2018 2017
20. Step 1 - Make data easily accessible & insightful
Your tooling landscape evolves over time
2020
Easy to use &
easy to get insights
Hard to use &
hard to get insights
20202019
2019
2019
2018 2017
21. Step 1 - Make data easily accessible & insightful
Often, the data doesn’t really tell you that much…
Accessible data
22. Step 1 - Make data easily accessible & insightful
Often, the data doesn’t really tell you that much…
Rainbow
effect
Accessible data
23. Step 1 - Make data easily accessible & insightful
Often, the data doesn’t really tell you that much…
Rainbow
effect
Accessible data
24.
25. Step 1 - Make data easily accessible & insightful
Don’t look “closlier”, look smarter!
Accessible
26. Step 1 - Make data easily accessible & insightful
Don’t look “closlier”, look smarter!
Insightful
Rainbow
effect
Valuable
element
Exposure
rate
Conversion
rate
Accessible
27. Step 1 - Make data easily accessible & insightful
Money makes the world go ‘round
Revenue per click
29. Test
variant
Control Experiment
Inconclusive
- No increase in subscriptions
- No impact on conversion rate
- Higher exit rate
- More sessions per user
Step 1 - Make data easily accessible & insightful
Experiment to see the impact on behavior
N = 145.889
30. Step 1 - Make data easily accessible & insightful
Often, the data doesn’t really tell you that much…
- Is this a high click rate?
31. Step 1 - Make data easily accessible & insightful
Data becomes insightful in the right context
Event action % of sessions
Click color selector 7,32%
Click ‘Explore’ 3,20%
Click ‘Add to cart’ 2,31%
32. Step 1 - Make data easily accessible & insightful
Combining insightful data with insightful data
33. Control Experiment
Step 1 - Make data easily accessible & insightful
Experiment to see the impact on behavior
=
34. Control Experiment
Step 1 - Make data easily accessible & insightful
Experiment to see the impact on behavior
+ 3,3%
Add to cart rate
=
Winner!
N = 103.112
36. Having insightful data doesn’t
mean you will always win
But you sure as hell
will win more often
37. Data-driven decision making
Game plan – The ‘Simple’ Version
✓ 42 3
Make data easily
accessible & insightful
Coach, teach,
train, & challenge
to use data
Everyone used data
to make decisions
Beerwulf becomes
#1 beer platform
40. Step 2 - Coach, teach, train, & challenge
What we tell people to look for in data
41. Use data to find
the best solution
for the user
Step 2 - Coach, teach, train, & challenge
What we tell people to look for in data
42. Step 2 - Coach, teach, train, & challenge
How we teach to find the best solutions
Workshops & training
Self study Explain and teach
Share examples (and the data behind it)
Learningbydoing
43. Workshops & training
Contentsquare University Explain and teach
Share examples (and the data behind it)
Learningbydoing
Step 2 - Coach, teach, train, & challenge
How we teach to find the best solutions
Self study
44. Step 2 - Coach, teach, train, & challenge
How to find better solutions for the user..
45. Step 2 - Coach, teach, train, & challenge
How to find better solutions for the user..
46. Step 2 - Coach, teach, train, & challenge
How to find better solutions for the user..
• Rage click rate of 2,35% (3 clicks in <2 seconds)
• Scroll is never ending
• Only 1 or 2 additional images in the scroll
• We are hiding the images from our users
47. Control Experiment
Step 2 - Coach, teach, train, & challenge
Experiment to see the impact on behavior
=
48. Control Experiment
Step 2 - Coach, teach, train, & challenge
Experiment to see the impact on behavior
=
Inconclusive
- No impact on add to cart &
conversion rate
- More thumbnail images viewed
per visitor
- Higher time on page
N = 93.410
49. Step 2 - Coach, teach, train, & challenge
Providing the right information at the right time
Journey: Step 1 Step 2 Step 1
50. Control Experiment
Step 2 - Coach, teach, train, & challenge
Providing the right information at the right time
51. Decrease of 122% in Step 1 > 2 > 1 behavior
Step 2 - Coach, teach, train, & challenge
Providing the right information at the right time
Journey Group % Δ
Step 1 > Step 2 > Step 1
Control 6,34%
-122%
Variant 2,86%
Control Experiment
+ 4,02%
conversion rate
N = 64.603
52. Step 2 - Coach, teach, train, & challenge
What we tell people to be cautious ofUse data to find
the wrong solution
for the user
53. Step 2 - Coach, teach, train, & challenge
“We think that blog is clearer and better!”
Control Experiment
54. Control Experiment
Step 2 - Coach, teach, train, & challenge
“We think that blog is clearer and better!”
55. Control Experiment
The use of the word blog
decreased clicks on the menu
item by 51%
& decreased conversion rate by
15% for those who clicked
Step 2 - Coach, teach, train, & challenge
“We think that blog is clearer and better!”
N = 47.199
56. Data-driven decision making
Game plan – The ‘Simple’ Version
✓ 4✓ 3
Make data easily
accessible & insightful
Coach, teach, train,
& challenge
to use data
Everyone uses data
to make decisions
Beerwulf becomes
#1 beer platform
57. Data-driven decision making
Game plan – The ‘Simple’ Version
✓ 4✓ 3
Make data easily
accessible & insightful
Coach, teach, train,
& challenge
to use data
Everyone uses data
to make decisions
Beerwulf becomes
#1 beer platform
58. Step 3 - Everyone uses data to make decisions
Understanding behavior where it matters most
59. Step 3 - Everyone uses data to make decisions
Understanding behavior where it matters most
60. Step 3 - Everyone uses data to make decisions
Understanding behavior
Step 1
61. Step 3 - Everyone uses data to make decisions
Understanding behavior
Step 1 Step 2 Step 3
62. Step 3 - Everyone uses data to make decisions
Understanding behavior
63. Step 3 - Everyone uses data to make decisions
Experiment to see the impact on behavior
Control Experiment
64. Step 3 - Everyone uses data to make decisions
Experiment to see the impact on behavior
Page Group Pageviews Δ
Step 1
Control 5,01%
-156%
Variant 1,96%
Step 2
Control 2,15%
-357%
Variant 0,47%
Step 3
Control 3,32%
-121%
Variant 1,50%
Control Experiment
View homepage directly after checkout page…
65. Winner
• Effect on behavior visible in all steps
• Decreased ‘Checkout > Homepage’
behavior by 169% (from 10,5% to 3,9%)
• Conversion rate increased by 0,75% (from
69,5% to 70,1%)
Step 3 - Everyone uses data to make decisions
Experiment to see the impact on behavior
Control Experiment
+ 0,75%
Conversion rate
N = 84.764
66. Step 3 - Everyone uses data to make decisions
Data helps you to solve your business challenges
67. Step 3 - Everyone uses data to make decisions
When it all comes together
Category
manager
UX
analyst
UX designer Experiment
lead
Company
wide
“14,6% of users
order full boxes
of one beer”
“12,8% of users
click add to cart
several times”
“15% of users
wants to order
in bulk”
“2 experiments
showed positive
impact on CTA”
Free delivery on
full box, saves
time and money
68. Step 3 - Everyone uses data to make decisions
Experiment with different solutions
69. Orders
(96,5% probability)
+5,72%
9,23% ➝ 9,75%
Add to cart
(99,2% probability)
+5,88%
30,83% ➝ 32,65%
Avg. order
quantity
+ 6,4%
2,04 ➝ 2,17
Add box to
cart button
7,25%
Revenue
per visitor
+ 6,7%
↧
Avg. order
value
+ 2,6%
Step 3 - Everyone uses data to make decisions
Improve for both Beerwulf and the user
Cost of running
the test
€ 1890
ROI on test
33656%
72. • Have an amazing team of talented people
• Have insightful data guiding us
• Know how to make the right decisions
• Know how to prevent the wrong decisions
• Learn from our mistakes and take action
• Focus on making our customers happy!
Step 3 - Everyone uses data to make decisions
Doing the right thing
73.
74. ✓ ✓✓ ✓
Make data easily
accessible & insightful
Coach, teach, train,
& challenge
to use data
Everyone uses data
to make decisions
Beerwulf becomes
#1 beer platform
Step 4
Beerwulf will become THE #1 beer platform
76. Bedankt voor je aandacht!
Ga naar de Emerce GAUC-event app
of naar glsr.live/GAUC2020
en laat weten wat je van de sessie vond
Editor's Notes
Almost 3 years ago, on March 2nd, 2017. Beerwulf was born. And we went live in the Netherlands.
Starting off with a team of six, the first orders started rolling in.
Now, with a team of 75, we are active in 11 countries.
In 2019 we sold over xxx million euros worth of beer.
Today I’m going to tell you the story how we achieved all this in only 3 years, using data-driven decision making.
I will show you how you can get quality insights with a very basic setup of GA in combination with other tools…
The initial idea for Beerwulf started several years ago,
When Heineken recognized 2 disruptions in the market
Beerwulf was set up as a corporate venture
Organized for disruption
Sole investor Heineken
Trying to be as independent as possible
Our goal as a company is to…
Ambition is to become the #1 beer platform in Europe!
But how to achieve this?...
We asked ourselves..
..
and it didnt take us very long to realize that its data…
It’s that simple
They know how to improve on and profit from measuring every single thing
Knowing that data = the key to growth,
And wanting to become the Amazon of beer
We said to ourselves..
..
And nowadays…
Back in 2017, small team
…smart, talented, people. ..
All specialists in their respective fields.
Some not used to using data.
So, back in 2017, when we told people on the team that data is super important, it can make their lives super easy, and businesses that use data are more successful, their response often is something like…
And then we asked them: “So.. you use data to make decisions on a daily basis?”
And this was the response we got…
So we know how important data is. BUT
We don’t actually use it to make decisions
Why is that?...
And there were lots of reasons…
…
...To overcome these obstacles
we made a GAME PLAN…
3 simple steps to world domination
Sounds simple, right!?
Lets look at step 1
What actually is accessible and insightful data?
Well, we started off using the basics: GA and Hotjar…
Because…
Google Analytics is going to tell you the what and where,
And Hotjar will help you uncover the why. (next to usability testing)
And this is a very basic setup, but as I will show you in a lot of examples later on, this will help you to uncover plenty of insights already.
And what you’ll see is that…
…your tooling landscape will evolve over time..
Once your team grows and gets more experienced and skilled, their data needs change
But even in later stages of maturity...
…it is important to keep in mind that the ease of use,
And the ease of getting insights = higher ADOPTION rate
But the real power lies in combining the insights from all tools
Let me show you a couple of examples…
The behavior flow, personally I feel its very difficult to get good insights from it:
The flow I am observing here:
Is that GOOD or BAD?
I cannot put a PRICE on it.
Same goes for heatmaps
…
BUT…
Is that GOOD or BAD?
I cannot really QUANTIFY it.
I cannot put a PRICE on it.
And we can enrich it with scroll tracking data
But still its not very insightful
And at this point, I try to crawl into my monitor, to see the insight...
But no matter how closely I look, I cannot see it.
Its really hard to get a true insight from data that is not insightful.
So…
Instead of looking closlier,
We should look smarter
Insightful data tells you more
...
And as you all know...
‘money’ makes it tangible
helps to convince people of the importance
So we did an experiment…
…
That must be big win, right?...
Well it was not…
…
Let’s take a look at another example…
And again, often, the data doesn’t really tell you that much…
Is this a high click rate?
I cannot really tell.
But…
After adding click events for interactions with these elements…
We said: YES! Its the highest click rate on the page, it must be an important element!
Maybe...
...its worth it to take a look into the user behavior with this element?
...
That’s super frustrating right?
And if this would happen to me, I would probably do something like this...
Because it is the worst user experience!
So to fix this user experience, we did a very simple experiment…
And it was a big winner.
We improved the user experience and the add to cart.
These examples show us that..
…
Lets go back to the game plan.
Once your tooling is set up right
the data is accessible and insightful
How do we get people to actually use it?
I'm sure you all know this proverb..
But assuming you are not actually fishermen teaching people to fish all day long…
I’ve tweaked it a little to make it more applicable to the work we do on a day to day basis...
…
That's what you want, isnt it?
You don't want to provide all teams with all insights all the time. Thats not scalable..
You want people to use data themselves to find insights...
> 1st thing we teach
Look for the user experience in all parts of the organization.
Instead of looking at what we have designed ourselves,
look at what the user is trying to tell you with his behavior…
And use that user behavior to find the best solution.
But how to teach?...
We believe...
...
And its important to remember...
To repeat endlessly
To get everyone involved
To show your colleagues the added value
For example...
When we were analyzing the behavior on our beer tap PDP in Google Analytics, we saw…
that this element here had a high number of rage clicks.
What we saw is that 2,35% of users rage clicked on this element
…
And of course we did an experiment…
To see what happens if we show all thumbnails right away
...
Another example…
Another example of how we try to find better solutions
When looking at behavior in the navigation summary, we saw a looping behavior
...
Why would they go back, when the only thing they see in step 2 are the payment methods?
WAIT A MINUTE...
So we did an experiment, showing the payment methods in step 1 of the checkout...
....
And thus we had found a better solution for our users..
But decision making is not only about making the right decisions and improving the user experience
There's a 2nd thing we teach
...
So the 2nd thing we teach in Beerwulf,
is to find the wrong solution for the user and prevent that it will be implemented...
To show you an on-site example for this..
...
...
But when the experiment was done… this was me
And of course that wasnt a great response from my end, but..
what we saw in the data is that…
...
With this example,
We prevented the wrong decision being made, thanks to data.
Time to go back to the game plan...
Data is insightful, we have coached and taught
So now everyone will use data to make decisions…
This is where we are now
You see it in the maturity of the data landscape, requests & data analyses
I’ll explain this by showing you two final examples..
First, we were trying to understand user behavior in the checkout, where it matters most.
Because what we saw…
…
And we saw the same thing in step 2 and 3
First assumption was that people click the logo to go back to home…
So when we looked at the clickrate in this step, we saw that they weren't clicking on the logo, but on the back button
And the same thing happened in step 2 and 3
If you look at it from a user perspectiven what would you expect to happen when clicking this arrow?
Have you ever seen a back arrow on the internet, that was NOT sending you to the previous page?
...
So what did we do?
Did an experiment, of course!
We just removed the back button, a super small change on screen
But a super big change in behavior...
The user behavior changed completely...
...
You can probably guess what the outcome of this experiment was…
…
This shows us once again that
The smallest change on screen
Can make the biggest change in behavior
Final example
And at this stage, data is really helping us solve business challenges
One of the challenges = logistics
We can’t be customer centric
But by bringing all the insights from all the tools together..
And by interpreting the data correctly...
We came up with an experiment, to find a better solution for the user,
where we let them add a full box with 1 click...
Which resulted in improving the user experience
AND the Beerwulf KPI's...
To finish things up…
The answer is simple, its..
But we’ve got everything in place
To do the right thing,
...
And as long as we stay humble,
and realize that,
just like Jon Snow...
We all know nothing,
And we need data to inform our decision making..
If we do that I'm sure that...