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Getting the right mix of
Digital Analytics tracking, processes and tools
Sjaun Wong, Digital Analytics - Comic Relief
12 May 2015, London
1
@datadigitally Sjaun Wong
2
Comic Relief - Overview
In 30 years: over £1 bil. raised
In Mar. ‘15: raised £78mil. and counting
Our vision: A just world free from poverty
We are Grant-giving organisation and our sites:
1) Support fundraising campaigns
2) Applications for grants (Comic Relief site)
20142015
We alternate with
a “Big Bang” campaign, every other year
3
Comic Relief – Our Campaign sites
1) Our campaign site runs once every 2 years
2) We needed resources for a short limited time
3) Sport Relief code-base learnings overlayed on Red Nose Day and vice versa
4) User Journeys and CTAs are very different for both sites
@datadigitally Sjaun Wong
4
Comic Relief – Our Campaign sites
Our Challenges and key learnings from our experience over the last year:
1) Tracking Solution – Tag Management Service
2) Actioning Insights – Processes & Tools
3) Tag Auditing and Data Quality Testing
@datadigitally Sjaun Wong
5
Red Nose Day – Challenges & Outcomes
1) A reusable tracking solution across 4 domains / teams
2) Track more data and improve data accuracy
3) Increase flexibility and agility of requirements for marketers
4) Reduce developer resource for tracking
@datadigitally Sjaun Wong
6
Red Nose Day – Challenges & Outcomes
1) Mitigated risk of code conflicts by deploying multiple containers for each
subdomain / team
2) Reduced developer resource and time on tracking
3) Marketers had more depth & breadth of data
4) Satisfied unknown requirements by understanding the context of objectives
This encouraged teams to always plan their tracking requirements!
@datadigitally Sjaun Wong
7
Red Nose Day – Challenges & Outcomes
1) Use a master Tag Management container that has your basic configuration
2) Separate your containers across each subdomain
3) Use consistent naming conventions within the container
4) Start best practice early
e.g.
- Check the parent nodes in the DOM tree to find the closest Element ID
- Simplify Event Categorisation so all marketing teams can understand it
@datadigitally Sjaun Wong
8
Red Nose Day – Challenges & Outcomes
1) Data needed to be easily available, accessible and easy to integrate into Excel
for daily campaign reporting meetings
2) Track SEO
3) Required retroactive analysis of complicated user journeys
@datadigitally Sjaun Wong
9
Red Nose Day – Challenges & Outcomes
1) Daily CRO & Insight Meetings
- Analytics Edge - Excel automation
- Decision-makers in one meeting
- Feedback loop informed new requests
2) SEO insight
- Webmaster tools used in GA
- “Low hanging fruit” – Top search queries with Low CTR:
> Keyword Cannibalism
> Missing Landing Pages
> Search Snippet optimisation
3) User Journeys Insights
GA -> FunnelPlus:
- Retroactive analysis of user journeys / funnels
- Combine Events and Page URL steps in user journeys
@datadigitally Sjaun Wong
10
Red Nose Day – Challenges & Outcomes
1) Create daily / weekly CRO meetings with key decision-makers
- This will increase your velocity to change
- BYO Analyst: Use a data feedback-loop to inform your key decisions
2) Analytics Edge - Windows Excel add-in
www.analyticsedge.com
- Basic is free
- Free templates: bit.do/freereports
@datadigitally Sjaun Wong
11
Red Nose Day – Challenges & Outcomes
3) Webmaster Tools
- Search queries and Landing Pages are key
- Use search query reports, remove brand search terms and automate through
Analytics Edge
- Check the search rankings and snippets: bit.do/top100
@datadigitally Sjaun Wong
12
Red Nose Day – Challenges & Outcomes
4) FunnelPlus: User Journey Tool - www.funnelplus.com
- Retroactive funnel analysis
- Mix events with page steps
- Add Dimensions in funnel
@datadigitally Sjaun Wong
13
Planning this year
WHY?
We need to improve tag data quality & collection
- Check pages with missing tags and compare releases (regression test)
- Check browser and device data consistency
- Better Data Quality: Scenario test events and data validity / quality
HOW?
QA team shared resource
QA Tools:
> Eclipse Software (Java IDE)
> Selenium Webdriver (web automation)
> Browserstack (browser emulator)
@datadigitally Sjaun Wong
14
Sport Relief ‘16 – Looking forward
@datadigitally Sjaun Wong
15
Comic Relief – Our Campaign sites
1) Tag Management Service:
- Start best practice early and delineate between teams / sections of your site
2) Insights:
- CRO Weekly meetings
- SEO: Use automation tools (Analytics Edge) and monitor all parts of your rankings
- User Journeys / Funnel Visualisation: Funnelplus is better than GA funnels
3) Automated Tag Auditing and Data Quality Testing
- Check for missing tags and regression test changes between sprint releases
- Check (older) browser and device data consistency
- Scenario and Data validation tests e.g. third-party API’s, different coding teams
@datadigitally Sjaun Wong
16
Sjaun Wong
Digital Analytics and Insights
Comic Relief
Email: s.wong@comicrelief.com
Tel: +44 (0)207 820 2000
@datadigitally
Sjaun Wong

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Getting the right mix of digital analytics tracking, processes and tools

  • 1. Getting the right mix of Digital Analytics tracking, processes and tools Sjaun Wong, Digital Analytics - Comic Relief 12 May 2015, London 1 @datadigitally Sjaun Wong
  • 2. 2 Comic Relief - Overview In 30 years: over £1 bil. raised In Mar. ‘15: raised £78mil. and counting Our vision: A just world free from poverty We are Grant-giving organisation and our sites: 1) Support fundraising campaigns 2) Applications for grants (Comic Relief site) 20142015 We alternate with a “Big Bang” campaign, every other year
  • 3. 3 Comic Relief – Our Campaign sites 1) Our campaign site runs once every 2 years 2) We needed resources for a short limited time 3) Sport Relief code-base learnings overlayed on Red Nose Day and vice versa 4) User Journeys and CTAs are very different for both sites @datadigitally Sjaun Wong
  • 4. 4 Comic Relief – Our Campaign sites Our Challenges and key learnings from our experience over the last year: 1) Tracking Solution – Tag Management Service 2) Actioning Insights – Processes & Tools 3) Tag Auditing and Data Quality Testing @datadigitally Sjaun Wong
  • 5. 5 Red Nose Day – Challenges & Outcomes 1) A reusable tracking solution across 4 domains / teams 2) Track more data and improve data accuracy 3) Increase flexibility and agility of requirements for marketers 4) Reduce developer resource for tracking @datadigitally Sjaun Wong
  • 6. 6 Red Nose Day – Challenges & Outcomes 1) Mitigated risk of code conflicts by deploying multiple containers for each subdomain / team 2) Reduced developer resource and time on tracking 3) Marketers had more depth & breadth of data 4) Satisfied unknown requirements by understanding the context of objectives This encouraged teams to always plan their tracking requirements! @datadigitally Sjaun Wong
  • 7. 7 Red Nose Day – Challenges & Outcomes 1) Use a master Tag Management container that has your basic configuration 2) Separate your containers across each subdomain 3) Use consistent naming conventions within the container 4) Start best practice early e.g. - Check the parent nodes in the DOM tree to find the closest Element ID - Simplify Event Categorisation so all marketing teams can understand it @datadigitally Sjaun Wong
  • 8. 8 Red Nose Day – Challenges & Outcomes 1) Data needed to be easily available, accessible and easy to integrate into Excel for daily campaign reporting meetings 2) Track SEO 3) Required retroactive analysis of complicated user journeys @datadigitally Sjaun Wong
  • 9. 9 Red Nose Day – Challenges & Outcomes 1) Daily CRO & Insight Meetings - Analytics Edge - Excel automation - Decision-makers in one meeting - Feedback loop informed new requests 2) SEO insight - Webmaster tools used in GA - “Low hanging fruit” – Top search queries with Low CTR: > Keyword Cannibalism > Missing Landing Pages > Search Snippet optimisation 3) User Journeys Insights GA -> FunnelPlus: - Retroactive analysis of user journeys / funnels - Combine Events and Page URL steps in user journeys @datadigitally Sjaun Wong
  • 10. 10 Red Nose Day – Challenges & Outcomes 1) Create daily / weekly CRO meetings with key decision-makers - This will increase your velocity to change - BYO Analyst: Use a data feedback-loop to inform your key decisions 2) Analytics Edge - Windows Excel add-in www.analyticsedge.com - Basic is free - Free templates: bit.do/freereports @datadigitally Sjaun Wong
  • 11. 11 Red Nose Day – Challenges & Outcomes 3) Webmaster Tools - Search queries and Landing Pages are key - Use search query reports, remove brand search terms and automate through Analytics Edge - Check the search rankings and snippets: bit.do/top100 @datadigitally Sjaun Wong
  • 12. 12 Red Nose Day – Challenges & Outcomes 4) FunnelPlus: User Journey Tool - www.funnelplus.com - Retroactive funnel analysis - Mix events with page steps - Add Dimensions in funnel @datadigitally Sjaun Wong
  • 13. 13 Planning this year WHY? We need to improve tag data quality & collection - Check pages with missing tags and compare releases (regression test) - Check browser and device data consistency - Better Data Quality: Scenario test events and data validity / quality HOW? QA team shared resource QA Tools: > Eclipse Software (Java IDE) > Selenium Webdriver (web automation) > Browserstack (browser emulator) @datadigitally Sjaun Wong
  • 14. 14 Sport Relief ‘16 – Looking forward @datadigitally Sjaun Wong
  • 15. 15 Comic Relief – Our Campaign sites 1) Tag Management Service: - Start best practice early and delineate between teams / sections of your site 2) Insights: - CRO Weekly meetings - SEO: Use automation tools (Analytics Edge) and monitor all parts of your rankings - User Journeys / Funnel Visualisation: Funnelplus is better than GA funnels 3) Automated Tag Auditing and Data Quality Testing - Check for missing tags and regression test changes between sprint releases - Check (older) browser and device data consistency - Scenario and Data validation tests e.g. third-party API’s, different coding teams @datadigitally Sjaun Wong
  • 16. 16 Sjaun Wong Digital Analytics and Insights Comic Relief Email: s.wong@comicrelief.com Tel: +44 (0)207 820 2000 @datadigitally Sjaun Wong