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Analytics For The Business & 
Marketing Executives
Roger Lopez 
VP Marketing 
Sideqik 
@inemode 
www.sideqik.com 
Linkedin.com/in/imroger
3 
1. The Challenge 
2. The Basics 
3. The Framework
Only 
Of Available Data is Used 
Forrester Research: Can You Give The Business The Data That It 
Needs? by Michele Goetz, November 13, 2013 
@RyanJones
S$@* (STUFF) Your Boss Doesn’t Care About 
What’s important to you isn’t so important to your boss. 
@RyanJones 
S.Y.B.D.C.A
Some Metrics Are Best 
Left To Yourself. 
PageRank Impressions CTR Links 
Rankings CPC Bounce Rate Visits Hits 
Keyword Density Domain Authority 
Followers Retweets Shares Likes Plusses 
Page Speed Pages/Visit Time on Site 
These metrics are best used internally to help increase the metric your boss 
actually cares about: Her Goal
7 
Every Level in Digital 
Speaks a different 
Language
I don’t know how to enlighten my 
Boss? 
What Does Your Boss Care About?
Your Boss Cares About 
One Thing: 
Am I Spending 
My Money 
Effectively?
Your Boss Cares About: 
His Bonus
How To Get Your 
Boss Promoted 
@RyanJones
REPORTING IS NOT ANALYTICS 
Reporting: Analytics: 
What Does The 
Number Mean I 
Should Do? 
What’s The 
Number? 
@RyanJones
The Traditional Marketing Funnel From B-School Books: 
THE OLD 
FUNNEL 
@RyanJones
The Path To Conversion Isn’t so Simple Anymore 
USER JOURNEY 
@RyanJones
Same categories, lots of different paths. 
THE NEW 
FUNNEL 
@RyanJones 
AWARENESS 
INTEREST 
DESIRE 
ACTION
16
ACTIONABLE ANALYTICS 
Data to act on AND a business reason to 
take those actions. 
@RyanJones
SIMPLIFY 
REPORTING
19 
1. Business Objectives 
2. Goals 
3. Metrics 
4. Key Performance Indicators 
5. Targets 
6. Dimensions 
7. Segments 
The Basics
20 
3 Areas Of Web Analytics Expertise 
Data Reporting 
Data Capture 
Data Analysis
21 
Analyse Data 
Create 
Actionable 
Insights 
Implement 
Data Analysis Process 
Evaluate
22 
Business Objectives? 
This is the answer to the question: "Why does your website exist?“ 
Or: "What are you hoping to accomplish for your business by being on the web?" 
Or: "What are the three most important priorities for your site?" 
Or other questions like that. 
Without a clearly defined list of business objectives you are doomed, because if 
you don't know where you are going then any road will take you there. 
The objectives must be DUMB: Doable. Understandable. Manageable. Beneficial
Improve marketing effectiveness might 
translate into these goals because 
currently they are your priorities: 
1. identify broken things in m 
2. figure out how to do n 
3. experiment with p type of campaigns 
23 
Goals 
Sell more stuff really means we 
have to: 
1. do x 
2. improve y 
3. reduce z 
This step of identifying Goals is important it not for the fact that almost every C 
level executive, every VP and SVP, give very high level nearly impossible to pin 
down business objectives
24 
Metric 
A metric is a number. 
Technically a metric can be a Count (a 
total) or a Ratio (a division of one 
number by another). 
• Examples of metrics that are a 
Count is - Visits or Pageviews. 
• Examples of a Ratio- is Conversion 
Rate (a quantitative metric) or Task 
Completion Rate (a qualitative 
metric)
25 
KPI (Key performance indicators) 
A key performance indicator (KPI) is a metric that 
helps you understand how you are doing against 
your objectives. 
That last word – objectives – is critical to 
something being called a KPI, which is also why 
KPI's tend to be unique to each company 
Examples of KPI’s 
Business objective: Sell Stuff. KPI: Average Order Size. 
Business objective: Increase Revenue KPI: Average Order 
Size and # of clicks on banner ads.
26 
KPI (Key performance indicators) 
Business Objectives -> Goals -> KPI's -> Metrics -> Magic
27 
Targets 
Targets are numerical values you have pre-determined 
as indicators success or failure. 
It is critical that you create targets for each web 
analytics key performance indicator. 
Target: 2014 AOV Target of $95
28 
Targets 
You can create targets for the quarter (Christmas!) or for the year or to any drill down level of 
specificity. But at least have one overall target for each KPI. 
Business Objectives -> Goals -> KPIs -> Metrics -> Targets -> Happy Dance
29 
Dimension 
A dimension is, typically, an attribute of the Visitor 
to your website. 
It is critical that you create targets for each web 
analytics key performance indicator.
30 
Dimension
31 
Segments 
A segment contains a group of rows from one or more dimensions.. 
In aggregate almost all data is useless (like # of Visits). The best way 
to find insights is to segment the data using one or more dimensions 
(like # of Visits from: USA, UK, India as a % of All Visits).
32 
Segments 
A segment contains a group of rows from one or more dimensions.. 
In aggregate almost all data is useless (like # of Visits). The best way to 
find insights is to segment the data using one or more dimensions (like 
# of Visits from: USA, UK, India as a % of All Visits). 
Segment or Die
33 
Now what? 
How to I Put everything 
Together..?
34 
34 
Provides clarity on what data to look at 
Business 
Objectives 
Website 
Goals 
KPIs 
Targets 
Data 
Analysis 
Fact-finding, understanding the business 
Translating BOs into digital solutions 
Goals (Metrics) 
Targeted improvement (x% increase) 
Segmentation (Traffic Acquisition, 
Behaviour, Outcomes)
35 
A model to measure digital 
Lets we Work at ALS – Pre-Ice Bucket 
Business Objective: 
Attendance at Events 
Goals: 
Increase web sign ups. 
Key Performance Indicators: 
# of ALS Sign-ups for ALS Action Alerts 
# of Individual Memberships 
Target: 
Action Alert: 14,000 per month 
Memberships: 4,800 per month 
Segments: 
Acquisition: Organic search, Email campaigns, Mid-western US states 
Behavior: Visits to conversions (Action Alerts, Memberships)
36 
More examples
37 
Key Takeaways 
 Web Analytics works best when business objectives and 
measurement expectations are clearly defined in advance. 
 Utilize the Data Analysis Process & Web Analytics Model for 
focus and clarity. 
 Focusing on Data analysis makes you a better Digital 
Marketer
38 
Future Digital School 
 Oct 21st Google analytics 201- From Reporting Squirel to 
Analysis Ninja - 
 Nov 4th Launching your Startups Site on a Budget 
 Nov 18th Marketing Automation for B2C 
 Dec 2nd Website Conversion tips and tricks - 
 Dec 16th Together Marketing for Startups 
 Jan 6th Email Marketing for Startups 
 Jan 20th Video Marketing on a Budget
39 
Roger Lopez 
VP Marketing 
Sideqik 
@inemode 
www.sideqik.com 
Linkedin.com/in/imroger

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Analytics for Business Executives & Marketers

  • 1. Analytics For The Business & Marketing Executives
  • 2. Roger Lopez VP Marketing Sideqik @inemode www.sideqik.com Linkedin.com/in/imroger
  • 3. 3 1. The Challenge 2. The Basics 3. The Framework
  • 4. Only Of Available Data is Used Forrester Research: Can You Give The Business The Data That It Needs? by Michele Goetz, November 13, 2013 @RyanJones
  • 5. S$@* (STUFF) Your Boss Doesn’t Care About What’s important to you isn’t so important to your boss. @RyanJones S.Y.B.D.C.A
  • 6. Some Metrics Are Best Left To Yourself. PageRank Impressions CTR Links Rankings CPC Bounce Rate Visits Hits Keyword Density Domain Authority Followers Retweets Shares Likes Plusses Page Speed Pages/Visit Time on Site These metrics are best used internally to help increase the metric your boss actually cares about: Her Goal
  • 7. 7 Every Level in Digital Speaks a different Language
  • 8. I don’t know how to enlighten my Boss? What Does Your Boss Care About?
  • 9. Your Boss Cares About One Thing: Am I Spending My Money Effectively?
  • 10. Your Boss Cares About: His Bonus
  • 11. How To Get Your Boss Promoted @RyanJones
  • 12. REPORTING IS NOT ANALYTICS Reporting: Analytics: What Does The Number Mean I Should Do? What’s The Number? @RyanJones
  • 13. The Traditional Marketing Funnel From B-School Books: THE OLD FUNNEL @RyanJones
  • 14. The Path To Conversion Isn’t so Simple Anymore USER JOURNEY @RyanJones
  • 15. Same categories, lots of different paths. THE NEW FUNNEL @RyanJones AWARENESS INTEREST DESIRE ACTION
  • 16. 16
  • 17. ACTIONABLE ANALYTICS Data to act on AND a business reason to take those actions. @RyanJones
  • 19. 19 1. Business Objectives 2. Goals 3. Metrics 4. Key Performance Indicators 5. Targets 6. Dimensions 7. Segments The Basics
  • 20. 20 3 Areas Of Web Analytics Expertise Data Reporting Data Capture Data Analysis
  • 21. 21 Analyse Data Create Actionable Insights Implement Data Analysis Process Evaluate
  • 22. 22 Business Objectives? This is the answer to the question: "Why does your website exist?“ Or: "What are you hoping to accomplish for your business by being on the web?" Or: "What are the three most important priorities for your site?" Or other questions like that. Without a clearly defined list of business objectives you are doomed, because if you don't know where you are going then any road will take you there. The objectives must be DUMB: Doable. Understandable. Manageable. Beneficial
  • 23. Improve marketing effectiveness might translate into these goals because currently they are your priorities: 1. identify broken things in m 2. figure out how to do n 3. experiment with p type of campaigns 23 Goals Sell more stuff really means we have to: 1. do x 2. improve y 3. reduce z This step of identifying Goals is important it not for the fact that almost every C level executive, every VP and SVP, give very high level nearly impossible to pin down business objectives
  • 24. 24 Metric A metric is a number. Technically a metric can be a Count (a total) or a Ratio (a division of one number by another). • Examples of metrics that are a Count is - Visits or Pageviews. • Examples of a Ratio- is Conversion Rate (a quantitative metric) or Task Completion Rate (a qualitative metric)
  • 25. 25 KPI (Key performance indicators) A key performance indicator (KPI) is a metric that helps you understand how you are doing against your objectives. That last word – objectives – is critical to something being called a KPI, which is also why KPI's tend to be unique to each company Examples of KPI’s Business objective: Sell Stuff. KPI: Average Order Size. Business objective: Increase Revenue KPI: Average Order Size and # of clicks on banner ads.
  • 26. 26 KPI (Key performance indicators) Business Objectives -> Goals -> KPI's -> Metrics -> Magic
  • 27. 27 Targets Targets are numerical values you have pre-determined as indicators success or failure. It is critical that you create targets for each web analytics key performance indicator. Target: 2014 AOV Target of $95
  • 28. 28 Targets You can create targets for the quarter (Christmas!) or for the year or to any drill down level of specificity. But at least have one overall target for each KPI. Business Objectives -> Goals -> KPIs -> Metrics -> Targets -> Happy Dance
  • 29. 29 Dimension A dimension is, typically, an attribute of the Visitor to your website. It is critical that you create targets for each web analytics key performance indicator.
  • 31. 31 Segments A segment contains a group of rows from one or more dimensions.. In aggregate almost all data is useless (like # of Visits). The best way to find insights is to segment the data using one or more dimensions (like # of Visits from: USA, UK, India as a % of All Visits).
  • 32. 32 Segments A segment contains a group of rows from one or more dimensions.. In aggregate almost all data is useless (like # of Visits). The best way to find insights is to segment the data using one or more dimensions (like # of Visits from: USA, UK, India as a % of All Visits). Segment or Die
  • 33. 33 Now what? How to I Put everything Together..?
  • 34. 34 34 Provides clarity on what data to look at Business Objectives Website Goals KPIs Targets Data Analysis Fact-finding, understanding the business Translating BOs into digital solutions Goals (Metrics) Targeted improvement (x% increase) Segmentation (Traffic Acquisition, Behaviour, Outcomes)
  • 35. 35 A model to measure digital Lets we Work at ALS – Pre-Ice Bucket Business Objective: Attendance at Events Goals: Increase web sign ups. Key Performance Indicators: # of ALS Sign-ups for ALS Action Alerts # of Individual Memberships Target: Action Alert: 14,000 per month Memberships: 4,800 per month Segments: Acquisition: Organic search, Email campaigns, Mid-western US states Behavior: Visits to conversions (Action Alerts, Memberships)
  • 37. 37 Key Takeaways  Web Analytics works best when business objectives and measurement expectations are clearly defined in advance.  Utilize the Data Analysis Process & Web Analytics Model for focus and clarity.  Focusing on Data analysis makes you a better Digital Marketer
  • 38. 38 Future Digital School  Oct 21st Google analytics 201- From Reporting Squirel to Analysis Ninja -  Nov 4th Launching your Startups Site on a Budget  Nov 18th Marketing Automation for B2C  Dec 2nd Website Conversion tips and tricks -  Dec 16th Together Marketing for Startups  Jan 6th Email Marketing for Startups  Jan 20th Video Marketing on a Budget
  • 39. 39 Roger Lopez VP Marketing Sideqik @inemode www.sideqik.com Linkedin.com/in/imroger

Editor's Notes

  1. Data Analysis is a challenging area of expertise because of all the potential roadblocks, possibilities and data overload. On top of that, we are expected to provide actionable insights that clients appreciate. Especially when there‘s a lack of clarity on objectives, we will tend to feel this way Over the next few minutes, I‘ll share with you an example of analysis work I did for a client and hopefully you‘ll get some insights from it.
  2. Data Analysis is a challenging area of expertise because of all the potential roadblocks, possibilities and data overload. On top of that, we are expected to provide actionable insights that clients appreciate. Especially when there‘s a lack of clarity on objectives, we will tend to feel this way Over the next few minutes, I‘ll share with you an example of analysis work I did for a client and hopefully you‘ll get some insights from it.
  3. There are 3 areas of expertise in web analytics. Data Capture is the coding and implementation of web analytics tracking. Data Reporting is where we update team on their performance and sometimes unfortunately this is where we end up data puking. Analysing data is the fundamental stage of creating actionable insights. The process of doing so helps us add value to clients, and also improve our value of work in data capture and data reporting.
  4. There are 3 areas of expertise in web analytics. Data Capture is the coding and implementation of web analytics tracking. Data Reporting is where we update team on their performance and sometimes unfortunately this is where we end up data puking. Analysing data is the fundamental stage of creating actionable insights. The process of doing so helps us add value to clients, and also improve our value of work in data capture and data reporting.