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LEAN ANALYTICS 
LEANUX FEST 
#LEANUXFEST – SEP 16, 2014 
YVES FERKET - NASCOM 
Image Source: istrategy2009.com
I AM YVES FERKET 
HI! AND I WORK AT NASCOMIN BELGIUM.
I USED TO 
DO UX
But switched to...
The dark side...
Sales 
Analytics 
Analytics 
Excel 
Excel 
Timesheets 
coffee
The planet internet case
The planet internet case
InT 5 fihgurees: Planet Internet Portal Case 
• 1999 
• 2th biggest Belgian site 
• +60.000 visitors/day 
• +30.000 pages changed 
• 600 comments received
AbTout thhe ceomm ePnts:lanet Internet Portal Case 
• 6 likes… 
• Friends/Family/Colleagues 
• All the other mails & comments: 
• I can’t find my e-mail? 
• Where’s the SMS button? 
• You misplaced my favorite section? 
• Where is X? 
• I can’t find Y? 
• (multiply 594 times)
so: 
Lessons Learned (1999) 
• People don’t care about design 
• Don’t mess with top tasks 
• Measure before you change 
• 1999 isn’t always a party
So I stopped designing & started measuring users
Picture source: Daniel Dare https://www.flickr.com/photos/danieldare/6193235979/
Analytics 
some basics
<Google Analytics code inserted in HTML> 
Button 
Button 
website website with analytics 
<Javascript code 
on buttons to 
track events>
Done!
Building a Site 
@Nascom
A 
So where do we start Analytics? 
Design Develo 
p 
Discove 
r 
B 
Goals 
User Journeys 
Wireframes 
…. 
Art Direction 
Page Models 
Copy 
…. 
CMS 
HTML 
CSS 
….
A 
So where do we start Analytics? 
Design Develo 
p 
Discove 
r 
B 
Goals 
User Journeys 
Wireframes 
…. 
Art Direction 
Page Models 
Copy 
…. 
CMS 
HTML 
CSS 
….
A 
Analytics starts here 
Design Develo 
p 
Discove 
r 
B 
Goals 
User Journeys 
Wireframes 
…. 
Art Direction 
Page Models 
Copy 
…. 
CMS 
HTML 
CSS 
….
A 
Design Develo 
p 
Discove 
r 
B 
Goals 
User Journeys 
Wireframes 
…. 
Art Direction 
Page Models 
Copy 
…. 
CMS 
HTML 
CSS 
…. 
Not here
Image source: http://kustomculture.skynetblogs.be/archive/2007/06/27/cad-attack-1949-custom-cadillac.html 
Just slappin’ on Google Analytics code 
is putting a screwdriver on the hood of 
a car and expect it to fix the engine.
So, start with a set of Goals 
& Objectives
A project’s Goals & Objectives 
1. Define your goals 
2. Translate your Goals in “Human questions” 
3. Kpi’ify your human questions 
4. Create your data/triggers 
5. Create an actionable dashboard
What do you 
expect as an 
outcome? 
What would 
be a success 
factor? 
Why are we 
doing this?
This is something 
we do in every 
project. 
It’s clear, simple & 
agreed on. 
Distribute 100 
points to your goals 
By everybody
A project’s Goals & Objectives 
1. Define your goals 
2. Translate your Goals in “Human questions” 
3. Kpi’ify your human questions 
4. Create your data/triggers 
5. Create an actionable dashboard
Translate Goals 
in Human 
understood by 
everybody. 
Marketing 
Sales 
Management 
CEO 
Which human question would 
lead to your goal. 
E.g. Do people do x on our site?
Human 
Questions are a 
bit like a 
hypothesis 
"We believe [TYPE OF USER] has a 
problem [DOING THING]. We can help 
them with [OUR SOLUTION]. We'll know 
we're right if [CHANGE IN METRIC]."
A project’s Goals & Objectives 
1. Define your goals 
2. Translate your Goals in “Human questions” 
3. Kpi’ify your human questions 
4. Create your data/triggers 
5. Create an actionable dashboard
You know what 
would be a cool 
new feature? 
Shut up and 
explain why KPI 2 
is down by 12% If a big change 
in a KPI doesn’t 
cause 
somebody to 
pick up a phone 
or run to 
someone’s desk 
it’s not a good 
KPI
What 
figure , indicator or 
ratio would give 
an answer to the 
Human Questions 
?
A project’s Goals & Objectives 
1. Define your goals 
2. Translate your Goals in “Human questions” 
3. Kpi’ify your human questions 
4. Create your data/triggers 
5. Create an actionable dashboard
A project’s data/triggers 
Where is your data coming from? 
• online metrics? 
• exports from tools? 
• External partners (travel, ticket sales offices,...) 
• ... 
In what format is it available 
• document format: excel, MySQL, CSV, PDF, … 
• timing: live, hourly, daily, weekly, monthly, random, ...
A project’s data/triggers 
Triggers? 
Data triggers are events that generate data on the answer of the human 
questions 
• a click on a website 
• a money transfer in a sale 
• a scan of a bracelet 
• a click on a like button 
• a click on a buy button 
• result of a survey 
• ….
A project’s Goals & Objectives 
1. Define your goals 
2. Translate your Goals in “Human questions” 
3. Kpi’ify your human questions 
4. Create your data/triggers 
5. Create an actionable dashboard
THE DEFINITION: 
“AN INFORMATION RADIATOR IS A DISPLAY 
POSTED IN A PLACE WHERE PEOPLE CAN SEE IT 
AS THEY WORK OR WALK BY. IT SHOWS READERS 
INFORMATION THEY CARE ABOUT WITHOUT 
HAVING TO ASK ANYONE A QUESTION. THIS MEANS 
MORE COMMUNICATION WITH FEWER 
INTERRUPTIONS.
Dashboards
Image source: http://www.hotbutterstudio.com/
Sales in 
excel 
Google 
Reports 
Facebook Your data 
Insights 
Web 
Analytics 
Insights 
LinkedIn 
Stats 
YouTube 
Stats 
Pinterest 
Stats 
Twitter 
Stats 
Google+ 
Stats 
A calendar in 
Google Docs 
A survey 
result in a 
dropbox
Dashboard basics 
2 3 
Create (or connect to) 
a data source(s) with 
the data you need 
choose a graphic 
style that suits your 
data 
enrich data with 
indicators and info to 
tell a story 
Create “queries” on 
your data to fill your 
graph 
1 
3
Dashboard basics 
1. Is it quantifiable? 
Your metric should be measurable. 
2. Is it visible, understandable and clearly communicated? 
Your metric should serve as a reference point in conversations. 
3. Is it comparative? 
You should be able to compare the metric to benchmarks or other points in time. 
4. Is it a rate or ratio? 
Showing a rate of change is more illustrative than an absolute number. 
5. Does it change your behavior? 
If the metric you choose doesn’t enact change, you need a different one 
(Is it attributed to revenue/cost? ) 
Attributing your efforts to value for the business. 
It’s not a dashboard basic but will get you the budget to create one + will get CEO attention ;) 
Adapted Sources of : Kissmetrics, Ben Yoskovitz and Alistair Croll, Author of Lean Analytics
Dashboard example: 
human question: do they read our new content 
People who spend 
+180 secs grow from 
12%... 
… to 22% by changing 
content in 6 weeks 
1. Is it quantifiable? 
Your metric should be measurable. We created extra “time on page” 
segments In low (-30secs), medium (-180secs) and High (+180 secs)
Dashboard example: 
human question: how’s Facebook doing 
1: these Facebook Posts 
4: also in % 
change… 
2: created this 
effect 3: which is compared to the same 
previous period with indicators 
5: …and in in 
human terms 6: and explained. 
2: Is it visible and clearly communicated? 
Your metric should serve as a reference point in conversations.
Dashboard example: 
human question: how’s Facebook growth doing 
3: Is it comparative? 
You should be able to compare the metric to benchmarks or other points in 
time.
Dashboard example: 
human question: what social channel 
drives conversion? 
4: Is it a rate or ratio? 
Showing a rate of change is more illustrative than an absolute number.
Dashboard example: 
human question: which channels works best? 
Which affiliate 
partner or channel 
generated most 
conversion and 
should we invest 
in? 
5: Does it change your behavior? 
If the metric you choose doesn’t enact change, you need a 
different one
Dashboard example: 
human question: are we on campaign budget 
Daily budget automatically 
updated through API 
Budget goal from Campaign budget 
Google Doc 
(Is it attributed to revenue/cost? ) 
Attributing your efforts to value or cost for the business. 
We do get calls if we are in the red here ;)
“Understand the Customer 
Experience so that you can 
influence the optimal 
customer behavior that will 
lead to win-win outcomes” 
The Holy Analytics 
Trinity Outcome 
Orders/Leads/Revenue 
How, Why 
Conversion Rates 
Problem resolution 
Behavior 
Clickstream 
Click Density Analysis 
Segmentation 
Key Metrics, 
Search Intent 
Experience 
Research 
Customer Satisfaction 
A/B Testing 
User Tests 
Voice of customer 
Source: avinash kaushik
“Understand the Customer 
Experience so that you can 
influence the optimal 
customer behavior that will 
lead to win-win outcomes” 
The Holy Analytics 
Trinity Outcome 
Orders/Leads/Revenue 
How, Why 
Conversion Rates 
Problem resolution 
Behavior 
Clickstream 
Click Density Analysis 
Segmentation 
Key Metrics, 
Search Intent 
Experience 
Research 
Customer Satisfaction 
A/B Testing 
User Tests 
Voice of customer 
Analytics 
User 
research & 
tests, 
surveys 
Business 
data 
Source: avinash kaushik
“Understand the Customer 
Experience so that you can 
influence the optimal 
customer behavior that will 
lead to win-win outcomes” 
The Holy Analytics 
Trinity Outcome 
Orders/Leads/Revenue 
How, Why 
Conversion Rates 
Problem resolution 
Behavior 
Clickstream 
Click Density Analysis 
Segmentation 
Key Metrics, 
Search Intent 
Experience 
Research 
Customer Satisfaction 
A/B Testing 
User Tests 
Voice of customer 
Analytics 
User 
research & 
tests, 
surveys 
Business 
data 
DASHBOARD 
Source: avinash kaushik
That’s a lot of Analytics 
where’s the “lean” part?
A 
Analytics starts here 
Design Develo 
p 
Discove 
r 
B 
Goals 
User Journeys 
Wireframes 
…. 
Art Direction 
Page Models 
Copy 
…. 
CMS 
HTML 
CSS 
…. 
I re-use the 
wireframes of the 
UX-people and 
annotate them 
how the frontend 
people should 
place the triggers 
(because some 
companies need 
a metrics report )
Dashboards 
• This expensive looking dashboard cost 
about 20$/user/month 
• To create: 
• is more work up front 
• …but a lot less work then a monthly 
report 
• Plays really well with 
• ….
Dashboard data sources
Dashboard data sources
Remember 
these? 
"We believe [TYPE OF USER] has a 
problem [DOING THING]. We can help 
them with [OUR SOLUTION]. We'll know 
we're right if [CHANGE IN METRIC]."
"We believe [Ann] has a problem 
[using our product selector]. We can 
help them with [starting from moods vs 
products]. We'll know we're right if 
[she spends more time in the 
collection pages]." 
Can we test Ann? 
• 36 years old 
• Living in a city 
• Married ?
Facebook Ad 
Homepage 
V1 
Homepage 
V2 
1000 Clicks 
1000 Clicks 
Google 
Analytics 
Result 
validation
Facebook Ad
Homepage 
V1
Homepage 
V2
“Ann” who spend +180 
secs can grow from 
12%... 
… to 27% by a new 
homepage in 4 weeks 
Not real data from this customer, for explanatory purpose only 
Google 
Analytics
Test your results in http://isvalid.org/ 
Result 
validation
Create a PLANNING 
We don’t use expensive planning tools, 
but Google sheets 
• To make a planning for each 
channel, we can show in the 
dashboard 
• To pick up the changes, posts, 
events, e-mail lists… we created 
and pushed out in the dashboard 
• …and correlate with visitor data
Create a PLANNING 
• Pick up events from the Google 
Sheets Calendar…and correlate 
with visitor data
Consumer Satisfaction 
• We don’t use expensive customer 
satisfaction tools 
• We use Google Customer Survey’s 
• …or a simple Google Form that 
sends data to a Google sheet… 
• Which we pick up in our Dashboards
We don’t build Sites 
@Nascom
We do service design 
@Nascom
“We need a site” 
As seen by developers: 
The customer needs to go from A to B. 
Let’s build him a car
“We need a site” 
As seen by an agency: 
The customer needs to go from A to B. 
Let’s build him a fancy good looking car
“We need a site” 
As seen by an Nascom: 
The customer needs to go from A to B. 
Let’s see what his clients need. And give them a map. Learn 
them to drive. Provide a dashboard… 
And improve so we can get to point C
So where do we start Analytics? 
Start here 
Do not stop here. 
Keep measuring/improving
Measure to improve Slide 
1. Is it comparative? 
You should be able to compare the 
metric to benchmarks or other points in 
time. 
Source: Shana Rusonis, Content Marketeer, KissMetrics
We pick one KPI 
and improve on 
that. 
Go on to the next. 
Source: avinash kaushik
TWITTER ME: 
@NODESKTOPHERO 
LINKEDIN: 
WWW.LINKEDIN.COM/IN/YVESFERKET
Questions? 
NASCOM 
INFO@NASCOM.BE 
@NASCOM ON TWITTER

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Lean Analytics & Analytics Dashboards

  • 1. LEAN ANALYTICS LEANUX FEST #LEANUXFEST – SEP 16, 2014 YVES FERKET - NASCOM Image Source: istrategy2009.com
  • 2. I AM YVES FERKET HI! AND I WORK AT NASCOMIN BELGIUM.
  • 3.
  • 4. I USED TO DO UX
  • 7. Sales Analytics Analytics Excel Excel Timesheets coffee
  • 10. InT 5 fihgurees: Planet Internet Portal Case • 1999 • 2th biggest Belgian site • +60.000 visitors/day • +30.000 pages changed • 600 comments received
  • 11. AbTout thhe ceomm ePnts:lanet Internet Portal Case • 6 likes… • Friends/Family/Colleagues • All the other mails & comments: • I can’t find my e-mail? • Where’s the SMS button? • You misplaced my favorite section? • Where is X? • I can’t find Y? • (multiply 594 times)
  • 12. so: Lessons Learned (1999) • People don’t care about design • Don’t mess with top tasks • Measure before you change • 1999 isn’t always a party
  • 13. So I stopped designing & started measuring users
  • 14. Picture source: Daniel Dare https://www.flickr.com/photos/danieldare/6193235979/
  • 15.
  • 17. <Google Analytics code inserted in HTML> Button Button website website with analytics <Javascript code on buttons to track events>
  • 18. Done!
  • 19. Building a Site @Nascom
  • 20. A So where do we start Analytics? Design Develo p Discove r B Goals User Journeys Wireframes …. Art Direction Page Models Copy …. CMS HTML CSS ….
  • 21. A So where do we start Analytics? Design Develo p Discove r B Goals User Journeys Wireframes …. Art Direction Page Models Copy …. CMS HTML CSS ….
  • 22. A Analytics starts here Design Develo p Discove r B Goals User Journeys Wireframes …. Art Direction Page Models Copy …. CMS HTML CSS ….
  • 23. A Design Develo p Discove r B Goals User Journeys Wireframes …. Art Direction Page Models Copy …. CMS HTML CSS …. Not here
  • 24. Image source: http://kustomculture.skynetblogs.be/archive/2007/06/27/cad-attack-1949-custom-cadillac.html Just slappin’ on Google Analytics code is putting a screwdriver on the hood of a car and expect it to fix the engine.
  • 25. So, start with a set of Goals & Objectives
  • 26. A project’s Goals & Objectives 1. Define your goals 2. Translate your Goals in “Human questions” 3. Kpi’ify your human questions 4. Create your data/triggers 5. Create an actionable dashboard
  • 27. What do you expect as an outcome? What would be a success factor? Why are we doing this?
  • 28. This is something we do in every project. It’s clear, simple & agreed on. Distribute 100 points to your goals By everybody
  • 29. A project’s Goals & Objectives 1. Define your goals 2. Translate your Goals in “Human questions” 3. Kpi’ify your human questions 4. Create your data/triggers 5. Create an actionable dashboard
  • 30. Translate Goals in Human understood by everybody. Marketing Sales Management CEO Which human question would lead to your goal. E.g. Do people do x on our site?
  • 31. Human Questions are a bit like a hypothesis "We believe [TYPE OF USER] has a problem [DOING THING]. We can help them with [OUR SOLUTION]. We'll know we're right if [CHANGE IN METRIC]."
  • 32. A project’s Goals & Objectives 1. Define your goals 2. Translate your Goals in “Human questions” 3. Kpi’ify your human questions 4. Create your data/triggers 5. Create an actionable dashboard
  • 33. You know what would be a cool new feature? Shut up and explain why KPI 2 is down by 12% If a big change in a KPI doesn’t cause somebody to pick up a phone or run to someone’s desk it’s not a good KPI
  • 34. What figure , indicator or ratio would give an answer to the Human Questions ?
  • 35. A project’s Goals & Objectives 1. Define your goals 2. Translate your Goals in “Human questions” 3. Kpi’ify your human questions 4. Create your data/triggers 5. Create an actionable dashboard
  • 36. A project’s data/triggers Where is your data coming from? • online metrics? • exports from tools? • External partners (travel, ticket sales offices,...) • ... In what format is it available • document format: excel, MySQL, CSV, PDF, … • timing: live, hourly, daily, weekly, monthly, random, ...
  • 37. A project’s data/triggers Triggers? Data triggers are events that generate data on the answer of the human questions • a click on a website • a money transfer in a sale • a scan of a bracelet • a click on a like button • a click on a buy button • result of a survey • ….
  • 38. A project’s Goals & Objectives 1. Define your goals 2. Translate your Goals in “Human questions” 3. Kpi’ify your human questions 4. Create your data/triggers 5. Create an actionable dashboard
  • 39. THE DEFINITION: “AN INFORMATION RADIATOR IS A DISPLAY POSTED IN A PLACE WHERE PEOPLE CAN SEE IT AS THEY WORK OR WALK BY. IT SHOWS READERS INFORMATION THEY CARE ABOUT WITHOUT HAVING TO ASK ANYONE A QUESTION. THIS MEANS MORE COMMUNICATION WITH FEWER INTERRUPTIONS.
  • 42. Sales in excel Google Reports Facebook Your data Insights Web Analytics Insights LinkedIn Stats YouTube Stats Pinterest Stats Twitter Stats Google+ Stats A calendar in Google Docs A survey result in a dropbox
  • 43. Dashboard basics 2 3 Create (or connect to) a data source(s) with the data you need choose a graphic style that suits your data enrich data with indicators and info to tell a story Create “queries” on your data to fill your graph 1 3
  • 44. Dashboard basics 1. Is it quantifiable? Your metric should be measurable. 2. Is it visible, understandable and clearly communicated? Your metric should serve as a reference point in conversations. 3. Is it comparative? You should be able to compare the metric to benchmarks or other points in time. 4. Is it a rate or ratio? Showing a rate of change is more illustrative than an absolute number. 5. Does it change your behavior? If the metric you choose doesn’t enact change, you need a different one (Is it attributed to revenue/cost? ) Attributing your efforts to value for the business. It’s not a dashboard basic but will get you the budget to create one + will get CEO attention ;) Adapted Sources of : Kissmetrics, Ben Yoskovitz and Alistair Croll, Author of Lean Analytics
  • 45. Dashboard example: human question: do they read our new content People who spend +180 secs grow from 12%... … to 22% by changing content in 6 weeks 1. Is it quantifiable? Your metric should be measurable. We created extra “time on page” segments In low (-30secs), medium (-180secs) and High (+180 secs)
  • 46. Dashboard example: human question: how’s Facebook doing 1: these Facebook Posts 4: also in % change… 2: created this effect 3: which is compared to the same previous period with indicators 5: …and in in human terms 6: and explained. 2: Is it visible and clearly communicated? Your metric should serve as a reference point in conversations.
  • 47. Dashboard example: human question: how’s Facebook growth doing 3: Is it comparative? You should be able to compare the metric to benchmarks or other points in time.
  • 48. Dashboard example: human question: what social channel drives conversion? 4: Is it a rate or ratio? Showing a rate of change is more illustrative than an absolute number.
  • 49. Dashboard example: human question: which channels works best? Which affiliate partner or channel generated most conversion and should we invest in? 5: Does it change your behavior? If the metric you choose doesn’t enact change, you need a different one
  • 50. Dashboard example: human question: are we on campaign budget Daily budget automatically updated through API Budget goal from Campaign budget Google Doc (Is it attributed to revenue/cost? ) Attributing your efforts to value or cost for the business. We do get calls if we are in the red here ;)
  • 51. “Understand the Customer Experience so that you can influence the optimal customer behavior that will lead to win-win outcomes” The Holy Analytics Trinity Outcome Orders/Leads/Revenue How, Why Conversion Rates Problem resolution Behavior Clickstream Click Density Analysis Segmentation Key Metrics, Search Intent Experience Research Customer Satisfaction A/B Testing User Tests Voice of customer Source: avinash kaushik
  • 52. “Understand the Customer Experience so that you can influence the optimal customer behavior that will lead to win-win outcomes” The Holy Analytics Trinity Outcome Orders/Leads/Revenue How, Why Conversion Rates Problem resolution Behavior Clickstream Click Density Analysis Segmentation Key Metrics, Search Intent Experience Research Customer Satisfaction A/B Testing User Tests Voice of customer Analytics User research & tests, surveys Business data Source: avinash kaushik
  • 53. “Understand the Customer Experience so that you can influence the optimal customer behavior that will lead to win-win outcomes” The Holy Analytics Trinity Outcome Orders/Leads/Revenue How, Why Conversion Rates Problem resolution Behavior Clickstream Click Density Analysis Segmentation Key Metrics, Search Intent Experience Research Customer Satisfaction A/B Testing User Tests Voice of customer Analytics User research & tests, surveys Business data DASHBOARD Source: avinash kaushik
  • 54. That’s a lot of Analytics where’s the “lean” part?
  • 55. A Analytics starts here Design Develo p Discove r B Goals User Journeys Wireframes …. Art Direction Page Models Copy …. CMS HTML CSS …. I re-use the wireframes of the UX-people and annotate them how the frontend people should place the triggers (because some companies need a metrics report )
  • 56. Dashboards • This expensive looking dashboard cost about 20$/user/month • To create: • is more work up front • …but a lot less work then a monthly report • Plays really well with • ….
  • 59. Remember these? "We believe [TYPE OF USER] has a problem [DOING THING]. We can help them with [OUR SOLUTION]. We'll know we're right if [CHANGE IN METRIC]."
  • 60. "We believe [Ann] has a problem [using our product selector]. We can help them with [starting from moods vs products]. We'll know we're right if [she spends more time in the collection pages]." Can we test Ann? • 36 years old • Living in a city • Married ?
  • 61.
  • 62. Facebook Ad Homepage V1 Homepage V2 1000 Clicks 1000 Clicks Google Analytics Result validation
  • 66. “Ann” who spend +180 secs can grow from 12%... … to 27% by a new homepage in 4 weeks Not real data from this customer, for explanatory purpose only Google Analytics
  • 67. Test your results in http://isvalid.org/ Result validation
  • 68. Create a PLANNING We don’t use expensive planning tools, but Google sheets • To make a planning for each channel, we can show in the dashboard • To pick up the changes, posts, events, e-mail lists… we created and pushed out in the dashboard • …and correlate with visitor data
  • 69. Create a PLANNING • Pick up events from the Google Sheets Calendar…and correlate with visitor data
  • 70. Consumer Satisfaction • We don’t use expensive customer satisfaction tools • We use Google Customer Survey’s • …or a simple Google Form that sends data to a Google sheet… • Which we pick up in our Dashboards
  • 71. We don’t build Sites @Nascom
  • 72. We do service design @Nascom
  • 73. “We need a site” As seen by developers: The customer needs to go from A to B. Let’s build him a car
  • 74. “We need a site” As seen by an agency: The customer needs to go from A to B. Let’s build him a fancy good looking car
  • 75. “We need a site” As seen by an Nascom: The customer needs to go from A to B. Let’s see what his clients need. And give them a map. Learn them to drive. Provide a dashboard… And improve so we can get to point C
  • 76. So where do we start Analytics? Start here Do not stop here. Keep measuring/improving
  • 77. Measure to improve Slide 1. Is it comparative? You should be able to compare the metric to benchmarks or other points in time. Source: Shana Rusonis, Content Marketeer, KissMetrics
  • 78. We pick one KPI and improve on that. Go on to the next. Source: avinash kaushik
  • 79. TWITTER ME: @NODESKTOPHERO LINKEDIN: WWW.LINKEDIN.COM/IN/YVESFERKET
  • 80. Questions? NASCOM INFO@NASCOM.BE @NASCOM ON TWITTER

Editor's Notes

  1. Freelancer @Nascom
  2. I’m a productdesiger…& started designing sites around 95’ish
  3. Design sites, do wireframes…
  4. No more design…So why this sudden switch?
  5. Because of this site: An ugly Belgian Portal site in 1999
  6. Which we redesigned to this (still 1999 …don’t expect to much, almost no CSS or anything. We used HTML tables)
  7. This is what we did with the UX team. . I expected cheering in the streets and spontaneous parties breaking out with people dancing & padding each other on the back.
  8. This was the result.
  9. Eyetracking. Pré google analytics era
  10. And overnight my live changed from the rockstar live of a designer
  11. To a web analytics nerd. I admit : Ilove excel.
  12. You measure pages viewed, you measure events like clicks
  13. And you get reports. Who looks at any analytics on a regular basis?
  14. So this is more or less a general site building approach
  15. In the beginning? In the end? Who says after the code goes live?
  16. Some of Us did this yesterday. Get Marketing Sales & CEO in the room for this
  17. And here, sales & marketing start fighting…. Example: a lingerie site
  18. Put the collection in the picture Do they find their way to the collection What’s most popular… Some of them are easy to answer…some of them don’t.
  19. It’s a bit like this….
  20. KEEPEEai-IFy
  21. Alistair Cockburn in his book “crystal clear: a human-powered methodology for small teams”
  22. So because Google analytics alone will not do…we create dashboards
  23. ----- Meeting Notes (16/09/14 12:57) ----- Content groups can help to determine content vs functional pages
  24. Not a big fan of Facebookfan counting, but it serves the purpose
  25. Traffic over conversion ratio = cTR
  26. We shifted budget from some big tourist sites to niche players.
  27. So what should you strive for? Understand the Customer Experience so that you can influence the optimal customer behavior that will lead to win-win outcomes”
  28. Understand the Customer Experience so that you can influence the optimal customer behavior that will lead to win-win outcomes”
  29. The dashboard doesn’t give you god powers…but at least you know what you created is doing..
  30. Some developers demand a metrics guide. The more developers working on it, the thicker they need the guide. It is useful for tagging or front enders
  31. Measure Social, Site en campaigns through the reporting API
  32. Stakeholders Pains en Gains Onderscheidende doelgroepen krijgen een gezicht
  33. We can run a facebook ad for 2K clicks (you may use less) to an A/B test (for Ann’s only). Measure in GA, validate afterwards
  34. Age 33-39 Women Married Living in Antwerp-Hasselt-Gent-Brussels,… Even can put in education
  35. A version (control)
  36. So would have used a bank case study if I had to speak in the morning… I circled the thing you have to look at… This is the B version
  37. We track the time on pages for Ann’s coming in through facebook segment
  38. Interne en external stakeholders, partners can access it. Garbage in is garbage out
  39. Team pic didnt
  40. Improve: teest + measure