SlideShare a Scribd company logo
Impacting Business Performance with Analytics
12th Nov 2015
Notes in red boxes have been added post presentation to give context to the slides
G’day, I’m Peter
This all keeps me busy…
@peter_oneill #emetricsPage 2
I run an Analytics consultancy
28th Oct 2015
I also organise some Analytics events
Do you already use Analytics to impact business performance?
#ilive2015@peter_oneillPage 3
The audience survey showed that:
• Nearly everyone had an analytics tool
installed
• Most people had looked at their data
• Half of people looked at it on a regular basis
for reporting
• Only a few people actually analysed their data
• Only a couple had used insights from
analytics data to improve their business
performance
To provide intelligence that informs
business actions leading to an
improvement in performance for
online organisations
To provide intelligence that informs
business actions leading to an
improvement in performance for
online organisations
Purpose of Digital Analytics
Page 4 @peter_oneill #ilive2015
Purpose of Digital Analytics
To be more blunt, the purpose of Digital Analytics is:
1. To make your company more money
2. So you get a bigger bonus/pay rise
Page 5
Photo Credit:
HikingArtist.com
via Compfight cc
@peter_oneill #ilive2015
Example of using analytics to impact business performance
 This retailer appeared to have an
issue with their mobile conversion
rate
#ilive2015@peter_oneillPage 6
The plan for today
Set of Tips & Tricks
@peter_oneillPage 7
Photo Credit: HikingArtist.com
via Compfight cc
#ilive2015
Page 8
ANALYTICS SET-UP TIPS
@peter_oneill #ilive2015
The 1st task to get value from an Analytics tool
Back away from your computer…
…what are your business questions?
Page 9
© dotmatchbox via Compfight cc
@peter_oneill #ilive2015
Before you do look at any reports or even
implement analytics, the first action is to
think through what information you need
from the analytics.
Get all stakeholders together and discuss
their information needs, the decisions they
will be making based on analytics data
and the actions they will be taking.
Three of my learnings re setting up your Analytics tool
1. Don’t aim for perfection
2. Creativity is critical (yes really)
3. Your tracking solution should be aimed at the lowest common
denominator
Page 10
5 Platinum
4 Gold
3 Silver
2 Core
1 Basic
@peter_oneill #ilive2015
Capture useful information, not everything (so available asap)
If you can’t think of it, can’t ask dev to capture it
So that everyone in the company can understand the data in the reports
What is included within core information?
 Page Information
 Page Naming Convention
 Page Type
 URL & Referrer
 Campaign Tracking
 Detailed tracking for all channels
 Macro Conversion Actions
 Directly tied to business success
 Visitor Information
 Visitor Type
 Customer ID
@peter_oneillPage 11 #ilive2015
5 Platinum
4 Gold
3 Silver
2 Core
1 Basic
Getting the Page Naming Convention right
 Three rules for any page naming convention
 One page name per page on the website
 Hierarchy that groups pages in a logical manner
 All page names are intuitive so recognised by anyone
 Example page naming convention for a retailer
#ilive2015@peter_oneillPage 12
 /homepage
 /department/<department name>
 /product-list/<department name>
/<product list name>
 /search-results?term=<search term>
 /product/<department name>
/<product list name>/<product name>
 /error-page/<error number>-error
 /checkout/cart
 /checkout/process/<page name>
 /checkout/confirmation
 /store-finder
 /store-finder/<store name>
 /account/<page name>
 /my-account/<page name>
 /business/<page name>
Example of content information
 Title: chinas refined nickel imports rise 59 in september
 Content ID: 3500554
 Category: base metals
 Author: ellie wang
 Language: english
 Image Flag: no
 Video Flag: no
 Access Method: homepage article list
 Publication Date: 2015-10-26
 Days since Publication: 16
 Recency: recent
 Number of Words: 265
 Length: medium
Page 13 @peter_oneill #ilive2015
Example of content interactions
 View Article
 Read Article
 Based on time on page
 Based on scrolling to bottom
 Comment on Article
 Share Article
 Via Social Media
 View email
 Print Article
 Add Clipping
 Click to view another article
 Sign up with website
Page 14 @peter_oneill #ilive2015
Page 15
ANALYSIS & INSIGHTS TIPS
@peter_oneill #ilive2015
Analysing a website funnel performance
Page 16 @peter_oneill #ilive2015
• It is nice to have data showing the
number of sessions at each stage of
the purchase process
• More useful is the completion rate
between each stage
• If this can be compared against targets
• Then focus efforts on the stage with
the biggest gap against performance
• That has the potential to deliver
the highest ROI
• Fix what actually is broken, not just
what you think you should work on.
Business Performance Diagnostic
 Identify underperforming areas
 Create a list of actions with value per fix
#ilive2015@peter_oneillPage 17
Monitor negative experiences on the website
 Are negative website experiences an issue for you?
1. Viewing 404 Error pages
2. Experiencing Form Validation errors
3. Returning zero results from an internal search
 If % Sessions that experience issues is above X%, take action
 Set own limit but should be below 5%
@peter_oneillPage 18 #ilive2015
Identify the cause of form validation errors
Page 19 @peter_oneill #ilive2015
Identify the cause of 404 error pages
 From my core tracking recommendations:
1. The full URL of the page being viewed
2. The referrer to this page
 These can be used to identify the cause of 404 error pages
 URL that generated error
 Previous page whether off site or an internal page
@peter_oneillPage 20 #ilive2015
Identify search terms with 0 search results
 The tracking required is the search term for each search and the
number of search results that are returned
 Get a report of search terms with ZERO search results
 Fix it so people can find what they were looking for
@peter_oneillPage 21 #ilive2015
The Perfect Report
See this…
… do that
Page 22
© Sport tactic via mind the product
@peter_oneill #ilive2015
A client once requested reports where non
analytics could see information and
automatically act upon it.
It is similar to any team sport where, if you
train hard enough, you automatically know
where to position yourself if a certain play
is happening.
Creating reports that are similar is
incredibly powerful for getting value out of
analytics.
See This, Do That – Merchandise Report
A.Most popular product
B.The money maker
C.Something is wrong
D.Another issue here
E.Opportunity product, make more
visible
#ilive2015Page 23 @peter_oneill
See This, Do That – Content Report
 Remember all that
content tracking
earlier?
 Article #2 – is not
actually that good
 Article #11 – promote
everywhere you can
 Note these reports
can also be grouped
by category, author,
etc
#ilive2015@peter_oneillPage 24
Page 25
COMPANY & PROCESS TIPS
@peter_oneill #ilive2015
Ambition: Analytics Perfection
In my opinion, this cannot
be achieved when access to
the analytics intelligence
is available to only the
analysts
#ilive2015Page 26 @peter_oneill
Analysts are vastly outnumbered in any
company. If they are the gatekeeper to
the information needed by everyone else,
they are a barrier to the use of analytics.
Analytics MUST be accessible by
everyone in the organisation.
Educate people on the basics – then more
 HITS – How Idiots Track Success
 UVs = Users = unique browsers = inflated number
 Campaign tracking is easy, attribution is hard
 You can track anything e.g. Weather
#ilive2015Page 27 @peter_oneill
Get the organisation used to seeing analytics data
Analytics is not about
reporting…
…but reporting is
critical for analytics
#ilive2015Page 28
Executive
Summary
Ecommerce
Top
Products
Availability
Marketing
Organic
Social Media
Content
Landing
Pages
Blog Posts
Performance
Summary
@peter_oneill
Analytics tools that exist solely to produce reports is a
waste of time.
But Performance Reports are valuable so stakeholders
don’t need to use complicated Analytics tools.
Instead have an automated user friendly source of
information delivered when they need it.
May still be 30 reports produced BUT everyone only
sees the 2 or 3 that they will find useful.
Then when people start making requests…
 Once you have educated
people, they should
start asking questions
& making requests
 If people want analytics
support, must first give:
1. An hypothesis of what
they expect to see in the
data
2. The action they will
take based on the data
#ilive2015Page 29 @peter_oneill
Ultimately, Analytics needs to go viral
 Spread the ideas and usage throughout
the company
 For every new campaign & website
feature
 Success is defined
 KPIs are defined
 Targets are set
 Is tracked properly
 Performance is evaluated
 The business learns & improves
#ilive2015Page 30
Photo Credit: Postmemes.com via Compfight cc
@peter_oneill
Bringing this all together - my vision for the future
 Analytics is not having the impact it could be on organisations
This MUST change
 Organisations need to see Analytics as a normal cost of doing business
 They invest accordingly in the tools and the people
 Analytics needs to become a recognised career path with education
options reflecting this
 So people can learn these techniques for tracking and analysing data
 Success takes a long time but is already a reality for some companies
Hopefully your organisation is next
@peter_oneillPage 31 #ilive2015
THANK YOU
Page 32
I can be found at
• peteroneill@l3analytics.com
• @peter_oneill
• +44 7843 617 347
• www.linkedin.com/in/peteroneill
@peter_oneill #ilive2015

More Related Content

PPTX
See This, Do That Analytics presentation from Superweek 2014
PPTX
One + two + three + four
PPTX
Analytics for publishers
PPTX
Campaign attribution is broken
PPTX
Breaking down the barriers to the use of digital analytics
PPT
Making Web Analytics Actionable in Universities
PPTX
Five tips in ten minutes
PPTX
Web Analytics Camp Lille
See This, Do That Analytics presentation from Superweek 2014
One + two + three + four
Analytics for publishers
Campaign attribution is broken
Breaking down the barriers to the use of digital analytics
Making Web Analytics Actionable in Universities
Five tips in ten minutes
Web Analytics Camp Lille

What's hot (20)

PPT
Measuring Engagement of Social Media websites in the Web 2.0 world
PPT
Why Should You Care About Web Analytics
PDF
Are You Ready for Marketing Attribution?
PPTX
Frameworks to Train New Analysts - Matt Whiteley - MeasureCamp12 - London 2018
PDF
Lets talk attribution
PDF
How to Manage and Maximize Content Creation on a Large Scale
PDF
Best Practices for Creating Infographics
PDF
[Elite Camp 2016] Thomas Barker - From Zero to In-House Optimisation Superstars
 
PDF
John Peebles — Building Products: More than Meets the Eye (Turing Festival 2016)
PDF
Google Analytics 101 for Business - How to Get Started With Google Analytics
PDF
Careering through Analytics - MeasureFest
PDF
Jeff Sauer - Attribution is Bullshit
 
PPTX
What is Driving Your Leads? 10 Steps to Attribution Analysis
PDF
Top 10 CMS Features to Increase Traffic & Revenue from Mobile, Schemas, Voice...
PDF
Opticon 2015-Personalization Using Optimizely Audience Integrations
PPT
GoMeasure SG & KL - Analytics 101 Presentation
PPTX
Lean Analytics & Analytics Dashboards
PDF
Using Google Analytics for SEO Reporting in a (not provided) World
PDF
How To Avoid a Website Redesign Disaster - Paul Rouke at Digital Marketing Sh...
PPTX
Latest copy impacting business performance with analytics
Measuring Engagement of Social Media websites in the Web 2.0 world
Why Should You Care About Web Analytics
Are You Ready for Marketing Attribution?
Frameworks to Train New Analysts - Matt Whiteley - MeasureCamp12 - London 2018
Lets talk attribution
How to Manage and Maximize Content Creation on a Large Scale
Best Practices for Creating Infographics
[Elite Camp 2016] Thomas Barker - From Zero to In-House Optimisation Superstars
 
John Peebles — Building Products: More than Meets the Eye (Turing Festival 2016)
Google Analytics 101 for Business - How to Get Started With Google Analytics
Careering through Analytics - MeasureFest
Jeff Sauer - Attribution is Bullshit
 
What is Driving Your Leads? 10 Steps to Attribution Analysis
Top 10 CMS Features to Increase Traffic & Revenue from Mobile, Schemas, Voice...
Opticon 2015-Personalization Using Optimizely Audience Integrations
GoMeasure SG & KL - Analytics 101 Presentation
Lean Analytics & Analytics Dashboards
Using Google Analytics for SEO Reporting in a (not provided) World
How To Avoid a Website Redesign Disaster - Paul Rouke at Digital Marketing Sh...
Latest copy impacting business performance with analytics
Ad

Viewers also liked (12)

PPTX
Google Analytics Crash Course
PDF
Crunching data with go: Tips, tricks, use-cases
PDF
From Data Science to Production - deploy, scale, enjoy! / PyData Amsterdam - ...
PPTX
Ga tips and tricks London Measurecamp
PPTX
Measure camp pres 5 cro myths
PDF
Get more from Analytics 360 with BigQuery and the Google Cloud Platform
PDF
User-Centric Analytics (MeasureCamp Talk)
PPTX
Superweek 2015 traffic attribution
PDF
A/B Testing Pitfalls - MeasureCamp London 2015
PPTX
Google BigQuery 101 & What’s New
PPTX
31 Ways To Destroy Your Google Analytics Implementation
PDF
Google Analytics Premium for Better Data-Driven Decisions With Swapnil Sinha
Google Analytics Crash Course
Crunching data with go: Tips, tricks, use-cases
From Data Science to Production - deploy, scale, enjoy! / PyData Amsterdam - ...
Ga tips and tricks London Measurecamp
Measure camp pres 5 cro myths
Get more from Analytics 360 with BigQuery and the Google Cloud Platform
User-Centric Analytics (MeasureCamp Talk)
Superweek 2015 traffic attribution
A/B Testing Pitfalls - MeasureCamp London 2015
Google BigQuery 101 & What’s New
31 Ways To Destroy Your Google Analytics Implementation
Google Analytics Premium for Better Data-Driven Decisions With Swapnil Sinha
Ad

Similar to Impacting Business Performance with Analytics (20)

PDF
Peter O'Neill - Making Analytics Valuable MKTFEST 2014
PPTX
Analysing Analytics - Business Insights From Google Analytics By Peter O'Neill
PPTX
Conquer the Interwebs: The Three Pillars of Web Analytics
PDF
From Data to Decisions How Web Analytics Tools Drive Smarter Strategies.pdf
PPTX
Managing web analytics
PPTX
My Way: Techniques & Approaches for Web Analytics
PDF
From Digital Analytics to Insight
PPT
Interactive Metrics, What You Really Need to Know
PPTX
Final waca free trial ppt
PDF
Web Analytics Roadmap 2018
PPTX
Google Analytics Training - full 2017
PDF
Faster Ways To Data Insights
PPTX
Revealing Behavior: Web Analytics Strategy 101
PDF
Digital analytics: Wrap-up (Lecture 12)
PPTX
Google Analytics Workshop - Steps To Better Measurement
PPTX
Analytics for Business Executives & Marketers
PDF
Web analytics core principles
PDF
Making Money Out of Data
PPTX
Analytics 101 Presentation (1)
PPTX
Stamats: Analytics Webinar
Peter O'Neill - Making Analytics Valuable MKTFEST 2014
Analysing Analytics - Business Insights From Google Analytics By Peter O'Neill
Conquer the Interwebs: The Three Pillars of Web Analytics
From Data to Decisions How Web Analytics Tools Drive Smarter Strategies.pdf
Managing web analytics
My Way: Techniques & Approaches for Web Analytics
From Digital Analytics to Insight
Interactive Metrics, What You Really Need to Know
Final waca free trial ppt
Web Analytics Roadmap 2018
Google Analytics Training - full 2017
Faster Ways To Data Insights
Revealing Behavior: Web Analytics Strategy 101
Digital analytics: Wrap-up (Lecture 12)
Google Analytics Workshop - Steps To Better Measurement
Analytics for Business Executives & Marketers
Web analytics core principles
Making Money Out of Data
Analytics 101 Presentation (1)
Stamats: Analytics Webinar

More from Peter O'Neill (7)

PPTX
The Ecommerce Funnel
PPTX
Creating website visualisation maps
PPTX
The Digital Analytics Solution of the Future
PPTX
Deep Thoughts + Opinions on Digital Analytics
PPTX
Introduction to SiteCatalyst ReportBuilder
PPT
Putney Magpies 2009 Presentation Night
PPT
Human Rights TV Case Study
The Ecommerce Funnel
Creating website visualisation maps
The Digital Analytics Solution of the Future
Deep Thoughts + Opinions on Digital Analytics
Introduction to SiteCatalyst ReportBuilder
Putney Magpies 2009 Presentation Night
Human Rights TV Case Study

Recently uploaded (20)

PDF
Data Engineering Interview Questions & Answers Cloud Data Stacks (AWS, Azure,...
PPTX
SAP 2 completion done . PRESENTATION.pptx
PPTX
Topic 5 Presentation 5 Lesson 5 Corporate Fin
PDF
Optimise Shopper Experiences with a Strong Data Estate.pdf
PPTX
Leprosy and NLEP programme community medicine
PPTX
Introduction-to-Cloud-ComputingFinal.pptx
PDF
Business Analytics and business intelligence.pdf
PPTX
Data_Analytics_and_PowerBI_Presentation.pptx
PDF
168300704-gasification-ppt.pdfhghhhsjsjhsuxush
PPT
Predictive modeling basics in data cleaning process
PPT
DATA COLLECTION METHODS-ppt for nursing research
PDF
Oracle OFSAA_ The Complete Guide to Transforming Financial Risk Management an...
PDF
Lecture1 pattern recognition............
PPTX
Database Infoormation System (DBIS).pptx
PDF
[EN] Industrial Machine Downtime Prediction
PPTX
mbdjdhjjodule 5-1 rhfhhfjtjjhafbrhfnfbbfnb
PPTX
STERILIZATION AND DISINFECTION-1.ppthhhbx
PDF
Data Engineering Interview Questions & Answers Batch Processing (Spark, Hadoo...
PPTX
A Complete Guide to Streamlining Business Processes
Data Engineering Interview Questions & Answers Cloud Data Stacks (AWS, Azure,...
SAP 2 completion done . PRESENTATION.pptx
Topic 5 Presentation 5 Lesson 5 Corporate Fin
Optimise Shopper Experiences with a Strong Data Estate.pdf
Leprosy and NLEP programme community medicine
Introduction-to-Cloud-ComputingFinal.pptx
Business Analytics and business intelligence.pdf
Data_Analytics_and_PowerBI_Presentation.pptx
168300704-gasification-ppt.pdfhghhhsjsjhsuxush
Predictive modeling basics in data cleaning process
DATA COLLECTION METHODS-ppt for nursing research
Oracle OFSAA_ The Complete Guide to Transforming Financial Risk Management an...
Lecture1 pattern recognition............
Database Infoormation System (DBIS).pptx
[EN] Industrial Machine Downtime Prediction
mbdjdhjjodule 5-1 rhfhhfjtjjhafbrhfnfbbfnb
STERILIZATION AND DISINFECTION-1.ppthhhbx
Data Engineering Interview Questions & Answers Batch Processing (Spark, Hadoo...
A Complete Guide to Streamlining Business Processes

Impacting Business Performance with Analytics

  • 1. Impacting Business Performance with Analytics 12th Nov 2015 Notes in red boxes have been added post presentation to give context to the slides
  • 2. G’day, I’m Peter This all keeps me busy… @peter_oneill #emetricsPage 2 I run an Analytics consultancy 28th Oct 2015 I also organise some Analytics events
  • 3. Do you already use Analytics to impact business performance? #ilive2015@peter_oneillPage 3 The audience survey showed that: • Nearly everyone had an analytics tool installed • Most people had looked at their data • Half of people looked at it on a regular basis for reporting • Only a few people actually analysed their data • Only a couple had used insights from analytics data to improve their business performance
  • 4. To provide intelligence that informs business actions leading to an improvement in performance for online organisations To provide intelligence that informs business actions leading to an improvement in performance for online organisations Purpose of Digital Analytics Page 4 @peter_oneill #ilive2015
  • 5. Purpose of Digital Analytics To be more blunt, the purpose of Digital Analytics is: 1. To make your company more money 2. So you get a bigger bonus/pay rise Page 5 Photo Credit: HikingArtist.com via Compfight cc @peter_oneill #ilive2015
  • 6. Example of using analytics to impact business performance  This retailer appeared to have an issue with their mobile conversion rate #ilive2015@peter_oneillPage 6
  • 7. The plan for today Set of Tips & Tricks @peter_oneillPage 7 Photo Credit: HikingArtist.com via Compfight cc #ilive2015
  • 8. Page 8 ANALYTICS SET-UP TIPS @peter_oneill #ilive2015
  • 9. The 1st task to get value from an Analytics tool Back away from your computer… …what are your business questions? Page 9 © dotmatchbox via Compfight cc @peter_oneill #ilive2015 Before you do look at any reports or even implement analytics, the first action is to think through what information you need from the analytics. Get all stakeholders together and discuss their information needs, the decisions they will be making based on analytics data and the actions they will be taking.
  • 10. Three of my learnings re setting up your Analytics tool 1. Don’t aim for perfection 2. Creativity is critical (yes really) 3. Your tracking solution should be aimed at the lowest common denominator Page 10 5 Platinum 4 Gold 3 Silver 2 Core 1 Basic @peter_oneill #ilive2015 Capture useful information, not everything (so available asap) If you can’t think of it, can’t ask dev to capture it So that everyone in the company can understand the data in the reports
  • 11. What is included within core information?  Page Information  Page Naming Convention  Page Type  URL & Referrer  Campaign Tracking  Detailed tracking for all channels  Macro Conversion Actions  Directly tied to business success  Visitor Information  Visitor Type  Customer ID @peter_oneillPage 11 #ilive2015 5 Platinum 4 Gold 3 Silver 2 Core 1 Basic
  • 12. Getting the Page Naming Convention right  Three rules for any page naming convention  One page name per page on the website  Hierarchy that groups pages in a logical manner  All page names are intuitive so recognised by anyone  Example page naming convention for a retailer #ilive2015@peter_oneillPage 12  /homepage  /department/<department name>  /product-list/<department name> /<product list name>  /search-results?term=<search term>  /product/<department name> /<product list name>/<product name>  /error-page/<error number>-error  /checkout/cart  /checkout/process/<page name>  /checkout/confirmation  /store-finder  /store-finder/<store name>  /account/<page name>  /my-account/<page name>  /business/<page name>
  • 13. Example of content information  Title: chinas refined nickel imports rise 59 in september  Content ID: 3500554  Category: base metals  Author: ellie wang  Language: english  Image Flag: no  Video Flag: no  Access Method: homepage article list  Publication Date: 2015-10-26  Days since Publication: 16  Recency: recent  Number of Words: 265  Length: medium Page 13 @peter_oneill #ilive2015
  • 14. Example of content interactions  View Article  Read Article  Based on time on page  Based on scrolling to bottom  Comment on Article  Share Article  Via Social Media  View email  Print Article  Add Clipping  Click to view another article  Sign up with website Page 14 @peter_oneill #ilive2015
  • 15. Page 15 ANALYSIS & INSIGHTS TIPS @peter_oneill #ilive2015
  • 16. Analysing a website funnel performance Page 16 @peter_oneill #ilive2015 • It is nice to have data showing the number of sessions at each stage of the purchase process • More useful is the completion rate between each stage • If this can be compared against targets • Then focus efforts on the stage with the biggest gap against performance • That has the potential to deliver the highest ROI • Fix what actually is broken, not just what you think you should work on.
  • 17. Business Performance Diagnostic  Identify underperforming areas  Create a list of actions with value per fix #ilive2015@peter_oneillPage 17
  • 18. Monitor negative experiences on the website  Are negative website experiences an issue for you? 1. Viewing 404 Error pages 2. Experiencing Form Validation errors 3. Returning zero results from an internal search  If % Sessions that experience issues is above X%, take action  Set own limit but should be below 5% @peter_oneillPage 18 #ilive2015
  • 19. Identify the cause of form validation errors Page 19 @peter_oneill #ilive2015
  • 20. Identify the cause of 404 error pages  From my core tracking recommendations: 1. The full URL of the page being viewed 2. The referrer to this page  These can be used to identify the cause of 404 error pages  URL that generated error  Previous page whether off site or an internal page @peter_oneillPage 20 #ilive2015
  • 21. Identify search terms with 0 search results  The tracking required is the search term for each search and the number of search results that are returned  Get a report of search terms with ZERO search results  Fix it so people can find what they were looking for @peter_oneillPage 21 #ilive2015
  • 22. The Perfect Report See this… … do that Page 22 © Sport tactic via mind the product @peter_oneill #ilive2015 A client once requested reports where non analytics could see information and automatically act upon it. It is similar to any team sport where, if you train hard enough, you automatically know where to position yourself if a certain play is happening. Creating reports that are similar is incredibly powerful for getting value out of analytics.
  • 23. See This, Do That – Merchandise Report A.Most popular product B.The money maker C.Something is wrong D.Another issue here E.Opportunity product, make more visible #ilive2015Page 23 @peter_oneill
  • 24. See This, Do That – Content Report  Remember all that content tracking earlier?  Article #2 – is not actually that good  Article #11 – promote everywhere you can  Note these reports can also be grouped by category, author, etc #ilive2015@peter_oneillPage 24
  • 25. Page 25 COMPANY & PROCESS TIPS @peter_oneill #ilive2015
  • 26. Ambition: Analytics Perfection In my opinion, this cannot be achieved when access to the analytics intelligence is available to only the analysts #ilive2015Page 26 @peter_oneill Analysts are vastly outnumbered in any company. If they are the gatekeeper to the information needed by everyone else, they are a barrier to the use of analytics. Analytics MUST be accessible by everyone in the organisation.
  • 27. Educate people on the basics – then more  HITS – How Idiots Track Success  UVs = Users = unique browsers = inflated number  Campaign tracking is easy, attribution is hard  You can track anything e.g. Weather #ilive2015Page 27 @peter_oneill
  • 28. Get the organisation used to seeing analytics data Analytics is not about reporting… …but reporting is critical for analytics #ilive2015Page 28 Executive Summary Ecommerce Top Products Availability Marketing Organic Social Media Content Landing Pages Blog Posts Performance Summary @peter_oneill Analytics tools that exist solely to produce reports is a waste of time. But Performance Reports are valuable so stakeholders don’t need to use complicated Analytics tools. Instead have an automated user friendly source of information delivered when they need it. May still be 30 reports produced BUT everyone only sees the 2 or 3 that they will find useful.
  • 29. Then when people start making requests…  Once you have educated people, they should start asking questions & making requests  If people want analytics support, must first give: 1. An hypothesis of what they expect to see in the data 2. The action they will take based on the data #ilive2015Page 29 @peter_oneill
  • 30. Ultimately, Analytics needs to go viral  Spread the ideas and usage throughout the company  For every new campaign & website feature  Success is defined  KPIs are defined  Targets are set  Is tracked properly  Performance is evaluated  The business learns & improves #ilive2015Page 30 Photo Credit: Postmemes.com via Compfight cc @peter_oneill
  • 31. Bringing this all together - my vision for the future  Analytics is not having the impact it could be on organisations This MUST change  Organisations need to see Analytics as a normal cost of doing business  They invest accordingly in the tools and the people  Analytics needs to become a recognised career path with education options reflecting this  So people can learn these techniques for tracking and analysing data  Success takes a long time but is already a reality for some companies Hopefully your organisation is next @peter_oneillPage 31 #ilive2015
  • 32. THANK YOU Page 32 I can be found at • peteroneill@l3analytics.com • @peter_oneill • +44 7843 617 347 • www.linkedin.com/in/peteroneill @peter_oneill #ilive2015