SlideShare a Scribd company logo
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Dashboard Strategy
Presented by Nick
Wilsdon
24th April 2019
Insert Confidentiality Level in slide footer 2 24 September 2019
Why should you listen to me?
Search Product Owner
Vodafone Group
Manages SEO programme
deployment across 22
international markets to 516m
mobile customers
3
5 Challenges we faced
24 September 20195
1. Needed a single report for multiple stake-holders
Malta Spain Germany Netherlands
Greece Hungary Turkey Ireland
UK Italy Romania Czech Republic
India
Qatar
Egypt
South Africa
Australia
New Zealand
Ghana
Europe Asia Africa Oceania
Portugal Kenya
2. Needed to standardise SEO reporting across multiple OpCos
24 September 20197
3. Need to be data-driven and automated
24 September 20198
4. Lack of internal, specialist resource to deploy
24 September 20199
5. Budget needs to be spent creatively and efficiently
So what did we do?
Insert Confidentiality Level in slide footer 11 24 September 2019
Why we decided on Google Data Studio
Common data sets
could be added,
such as Google
Search Console
(GSC) and Google
Sheets
DS comes with
many pre-made
connectors to pipe
data into reports.
No coding
required
Focus on shared
data components,
that could be used
across the platform
and between
teams
Reports are easy
to build, this
approach would
not require initial
specialist resource
Plus the platform
is free!
Visualisation
Data
Data Pipelining
Your first data set -
Google Search Console
(GSC)
24 September 201914
Why GSC first?
Accessible and universal
Poor native UI
Justifies using new domain properties
24 September 201915*Data from Deepcrawl.com domain
Sam Marsden – http://bit.ly/next-level-gds
24 September 201916
Sam Marsden – http://bit.ly/next-level-gds
*Data from Deepcrawl.com domain
24 September 201917
Sam Marsden – http://bit.ly/next-level-gds
*Data from Deepcrawl.com domain
24 September 201918
Sam Marsden – http://bit.ly/next-level-gds
*Data from Deepcrawl.com domain
24 September 201919
24 September 201920
Add and blending more data sources
24 September 201921
Reporting structure and
strategy
Clear reporting sections across each GDS report
24 September 201923
Contro
l
Action
Performanc
e
Planning
24 September 201924
Traffic
Orders
Revenue
CPA
Ambition for reporting KPIs
24 September 201925
How do current KPIs fit into our reporting structure?
24 September 201926
Contro
l
Action
Performanc
e
Planning
Performance
24 September 201927
Examples:
• Traffic
• Orders
• Activations
• Revenue
• Sales
• CPA (SEO CPA)
• Call centre deflection savings
• Conversion rate (CVR)
• Rankings (reluctantly!)
What should go in these sections
Lag metrics that track performance
against targets to:
• Shown against time, so we can
correlate positive SEO activity to
commercial lead metrics
• Aligned to commercial objectives
• Only contain metrics that are not
subject to interpretation by SEO
specialists
These sections should be for senior
stakeholders to support internal
reporting
24 September 201928
Performance - sample
Performance
Planning
24 September 201929
Examples:
• SEO Forecasting
• SEO Development queue
• Key upcoming events
(migrations/launches)
• Team holidays
• Google Trends
• CPSV data
What should go in these sections
Planning shows how the team is thinking
ahead and matching resources and
activity to meet the challenges within the
program
• Forecast work
• Planned activity
These sections should be for team
leaders
Control
24 September 201930
Examples:
• 3rd party visibility graphs
• Google Search Console Data
• Little Warden Alerts
• GSC alerts (new API 🤞)
• SEO tool alerts
What should go in these
sections
Metrics that require technical
SEO governance to allow the
team to be more effective
• Process confirmations
• Technical checks
• Automated metrics
These sections should be for
technical practitioners only
Action
24 September 201931
• Various data mash-ups that
provide insight to SEO teams
and allow them to perform their
job more effectively
What should go in these sections
This section is a repository for actionable
data to address specific SEO challenges
• Charts containing data that can be
downloaded and worked on
• Lead metrics that are measuring
progress on resolving these outputs,
i.e. reducing number of thin content
pages over time
These sections should be for
technical practitioners only
24 September 201932
Sam Marsden – http://bit.ly/next-level-gds
*Data from Deepcrawl.com domain
24 September 201933
Action – sample report
Using CrUX API to assess page speed against
competitors
24 September 201934
Icon shows the
intention and
audience for
each report.
Action reports
are for technical
practitioners
COMPETITOR AVODAFONE SITE
http://bit.ly/
crux-report
And remember, all DS charts can be downloaded to
excel/csv
24 September 201935
Taking Google DS
to the next level
36 24 September 2019
Visualisation
Data
Data Pipelining
Data Storage
Visualisation
Data
Data Pipelining
39 24 September 2019
Why do we need to use data storage?
Bringing data into our data storage layer allows us
to develop a more advanced solution. Some use
cases included:
• Solving data storage restrictions of original
sources, i.e. 16 months of viewable data from
GSC
• Allowing advanced data aggregation from
multiple sources, beyond limits of DS blending
• Improving report performance and reliability
• Supporting custom attribution models and
funnels, outside the scope of individual platforms
or data sources
Data Storage
Visualisation
Data
How did we deliver on
our 5 challenges?
40 24 September 2019
24 September 201941
1. Needed a single report for multiple stake-holders
Malta Spain Germany Netherlands
Greece Hungary Turkey Ireland
UK Italy Romania Czech Republic
India
Qatar
Egypt
South Africa
Australia
New Zealand
Ghana
Europe Asia Africa Oceania
Portugal Kenya
2. Needed to standardise SEO reporting across multiple OpCos
24 September 201943
3. Need to be data-driven and automated
44
4. Lack of internal, specialist resource to deploy
24 September 201945
5. Budget needs to be spent creatively and efficiently
Extra tip: Measuring usage and adoption
46 24 September 2019
Where do we go next?
47 24 September 2019
48
Data ecosystem between group and
opco’s
49 24 September 2019
Data pipelining and portability between teams
50 24 September 2019
We’ve only just begun
Thank You
51 24 September 2019

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Dashboard Strategy | Nick Wilsdon, Vodafone

  • 1. Dashboard Strategy Presented by Nick Wilsdon 24th April 2019
  • 2. Insert Confidentiality Level in slide footer 2 24 September 2019 Why should you listen to me? Search Product Owner Vodafone Group Manages SEO programme deployment across 22 international markets to 516m mobile customers
  • 3. 3
  • 5. 24 September 20195 1. Needed a single report for multiple stake-holders
  • 6. Malta Spain Germany Netherlands Greece Hungary Turkey Ireland UK Italy Romania Czech Republic India Qatar Egypt South Africa Australia New Zealand Ghana Europe Asia Africa Oceania Portugal Kenya 2. Needed to standardise SEO reporting across multiple OpCos
  • 7. 24 September 20197 3. Need to be data-driven and automated
  • 8. 24 September 20198 4. Lack of internal, specialist resource to deploy
  • 9. 24 September 20199 5. Budget needs to be spent creatively and efficiently
  • 10. So what did we do?
  • 11. Insert Confidentiality Level in slide footer 11 24 September 2019 Why we decided on Google Data Studio Common data sets could be added, such as Google Search Console (GSC) and Google Sheets DS comes with many pre-made connectors to pipe data into reports. No coding required Focus on shared data components, that could be used across the platform and between teams Reports are easy to build, this approach would not require initial specialist resource Plus the platform is free!
  • 13. Your first data set - Google Search Console (GSC)
  • 14. 24 September 201914 Why GSC first? Accessible and universal Poor native UI Justifies using new domain properties
  • 15. 24 September 201915*Data from Deepcrawl.com domain Sam Marsden – http://bit.ly/next-level-gds
  • 16. 24 September 201916 Sam Marsden – http://bit.ly/next-level-gds *Data from Deepcrawl.com domain
  • 17. 24 September 201917 Sam Marsden – http://bit.ly/next-level-gds *Data from Deepcrawl.com domain
  • 18. 24 September 201918 Sam Marsden – http://bit.ly/next-level-gds *Data from Deepcrawl.com domain
  • 20. 24 September 201920 Add and blending more data sources
  • 23. Clear reporting sections across each GDS report 24 September 201923 Contro l Action Performanc e Planning
  • 26. How do current KPIs fit into our reporting structure? 24 September 201926 Contro l Action Performanc e Planning
  • 27. Performance 24 September 201927 Examples: • Traffic • Orders • Activations • Revenue • Sales • CPA (SEO CPA) • Call centre deflection savings • Conversion rate (CVR) • Rankings (reluctantly!) What should go in these sections Lag metrics that track performance against targets to: • Shown against time, so we can correlate positive SEO activity to commercial lead metrics • Aligned to commercial objectives • Only contain metrics that are not subject to interpretation by SEO specialists These sections should be for senior stakeholders to support internal reporting
  • 28. 24 September 201928 Performance - sample Performance
  • 29. Planning 24 September 201929 Examples: • SEO Forecasting • SEO Development queue • Key upcoming events (migrations/launches) • Team holidays • Google Trends • CPSV data What should go in these sections Planning shows how the team is thinking ahead and matching resources and activity to meet the challenges within the program • Forecast work • Planned activity These sections should be for team leaders
  • 30. Control 24 September 201930 Examples: • 3rd party visibility graphs • Google Search Console Data • Little Warden Alerts • GSC alerts (new API 🤞) • SEO tool alerts What should go in these sections Metrics that require technical SEO governance to allow the team to be more effective • Process confirmations • Technical checks • Automated metrics These sections should be for technical practitioners only
  • 31. Action 24 September 201931 • Various data mash-ups that provide insight to SEO teams and allow them to perform their job more effectively What should go in these sections This section is a repository for actionable data to address specific SEO challenges • Charts containing data that can be downloaded and worked on • Lead metrics that are measuring progress on resolving these outputs, i.e. reducing number of thin content pages over time These sections should be for technical practitioners only
  • 32. 24 September 201932 Sam Marsden – http://bit.ly/next-level-gds *Data from Deepcrawl.com domain
  • 33. 24 September 201933 Action – sample report
  • 34. Using CrUX API to assess page speed against competitors 24 September 201934 Icon shows the intention and audience for each report. Action reports are for technical practitioners COMPETITOR AVODAFONE SITE http://bit.ly/ crux-report
  • 35. And remember, all DS charts can be downloaded to excel/csv 24 September 201935
  • 36. Taking Google DS to the next level 36 24 September 2019
  • 39. 39 24 September 2019 Why do we need to use data storage? Bringing data into our data storage layer allows us to develop a more advanced solution. Some use cases included: • Solving data storage restrictions of original sources, i.e. 16 months of viewable data from GSC • Allowing advanced data aggregation from multiple sources, beyond limits of DS blending • Improving report performance and reliability • Supporting custom attribution models and funnels, outside the scope of individual platforms or data sources Data Storage Visualisation Data
  • 40. How did we deliver on our 5 challenges? 40 24 September 2019
  • 41. 24 September 201941 1. Needed a single report for multiple stake-holders
  • 42. Malta Spain Germany Netherlands Greece Hungary Turkey Ireland UK Italy Romania Czech Republic India Qatar Egypt South Africa Australia New Zealand Ghana Europe Asia Africa Oceania Portugal Kenya 2. Needed to standardise SEO reporting across multiple OpCos
  • 43. 24 September 201943 3. Need to be data-driven and automated
  • 44. 44 4. Lack of internal, specialist resource to deploy
  • 45. 24 September 201945 5. Budget needs to be spent creatively and efficiently
  • 46. Extra tip: Measuring usage and adoption 46 24 September 2019
  • 47. Where do we go next? 47 24 September 2019
  • 48. 48 Data ecosystem between group and opco’s
  • 49. 49 24 September 2019 Data pipelining and portability between teams
  • 50. 50 24 September 2019 We’ve only just begun
  • 51. Thank You 51 24 September 2019