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Using Google Analytics 360 to turn data into actions
Overherd – Nov 2018
Alina Sisianu
About me
• Web Analytics Specialist at World Vision
• Digital Marketing Freelancer
• Previous: Insights Manager at Pauley
Creative
Twitter: @alinasisianu
“We have so much data on the web, almost all of it is available for
free, that we dive into the data ocean hoping that magically
awesome things will follow. They never do.”
Avinash Kaushik
Google Analytics and Google analytics 360 is a
cloud based platform that gathers website traffic
data. It can do wonders but…
... it has got it’s limitations
Your insights are as good as the quality of your data
Poor
Quality
Data
Wrong
Insights
Bad
Decisions
How to ensure your GA data is clean?
3 tips to keep GA data clean
1 2 3
Use UTM tags Use Filters Audit website tags
Use UTM tags to track campaigns
1 2
Use UTM tags to measure:
• Emails campaigns
• Direct Mail
• Paid Ads
• Social Media Posts
• TV & Radio
• PR
• Content marketing
• Etc.
https://ga-dev-tools.appspot.com/campaign-url-builder/
Use filters to control which data is included in your reports
2
What should we filter?
• Internal traffic
• Traffic from agencies
and other partners
• Google Bots
• Referral Spam
Website tag audits
2
Use tools such as
• WASP
http://www.webanalyticssolutionprofiler.com/#axzz5Xs6I1MYj
• Observer Point tag debugger
https://www.observepoint.com/tag-debugger/
• Tag Inspector
https://taginspector.com
LET’S LOOK AT THE
INSIGHTS WE CAN CREATE
Are we targeting the right
audience?
Audience in GA
1
2
Demographic
Geographic
Audience Demographic
70%
Findings:
• 70% of online enquiries
come from people aged
between 18-34, mostly
females.
0 50 100 150 200
25-34
35-44
18-24
45-54
55-64
65+
Conversions by age
Insights:
• We are targeting the wrong
audience for this product
and channel.
Recommendations:
• Find attrition Rate for this
audience & Calculate LTV
• Target the younger audience online
if they prove to stay with us
beyond the 1 year mark
30%
0%
20%
40%
60%
80%
Female Male
Conversions by gender: Segment 18 -
34
Audience Geo
Findings:
• 42% of conversions are from London
• 87% of these convert via Organic
(154) and PPC(157)
• Half of the PPC conversions are
branded (WV) and the other half
come from product specific keyword
that world vision currently does not
rank well for.
Insights:
• Higher brand and product
awareness in and around
London
Recommendations:
• Increase the PPC budget for London region. Bid more
aggressively in this region on company name and product
keywords
• Look at increasing brand awareness in other target cities.
42%
2%2%
1%
1%
1%1%
10%
% Conversions by location
London
Glasgow
Edinburgh
Birmingham
Manchester
Liverpool
Milton Keynes
Leeds
Newcastle upon Tyne
Bristol
Croydon
Reading
Cambridge
Other
London
Where to find the audience report in GA ?
Note: This is a generic GA account
Measuring the performance of Display
advertising
Channel spent breakdown
47%
19%
9%
0%
5%
10%
15%
20%
25%
30%
35%
40%
45%
50%
Display Paid Search Organic
% of the total spend
• 47% of the budget spent
on Display advertising
• Testing if bringing more
people in the funnel
generates higher
conversions
Channel conversion breakdown
Finding:
Based on the last click attribution model
display has generated 4% of the total
conversions
PPC and Organic drives the most
conversions
47%
19%
9%
4%
34%
28%
0%
5%
10%
15%
20%
25%
30%
35%
40%
45%
50%
Display Paid Search Organic
Spend vs conversions by channel (last click)
% of total spend % of the total number of conversions (Last Click)
Display is mostly an assisting channel
Findings:
Direct, Organic, and PPC act more as
closers along the way towards
conversions, whereas email, and display
work more as introducers/engager
Insights:
Display does not get it’s full value in a
last click attribution model.
70%
60%
50%
45%
42%
40%
38%
37%
0%
30%
40%
50%
55%
58%
60%
62%
63%
100%
0% 20% 40% 60% 80% 100% 120%
Display
Email
Social [Organic]
Organic Search [Unknown]
Paid Search [Branded]
Direct
Paid Search [Non-Branded]
Referral
Organic Search [Branded]
Assisting vs Last click conversions by channel
Assisted Conversions Last click Conversions
Attribution Models
Applying time decay model to measure multichannel conversions
Finding:
Using Time decay Model all 3 channels
have seen an increase in value. Display
now accounts for 6% of conversions.
Insights:
We have overinvested in display
advertising
47%
19%
9%
6%
35%
32%
4%
34%
28%
0%
5%
10%
15%
20%
25%
30%
35%
40%
45%
50%
Display Paid Search Organic
Channel performance by attribution model
(last click vs time decay)
% of total spend % of total conversions (time decay)
% of total conversions (last click)
Display cost per acquisition is significantly improved
with the time decay model
Findings:
In a time decay model CPA is improved
for all 3 channels. Display CPA is has
seen the biggest impact.
Insights:
Display generates more value than we
have initially credit it for. CPA is still to
high.
Recommendations:
Scale back Display advertising to the
point of positive ROI.
£6,221.08
£285.02 £162.95
£4,205.80
£276.58 £146.98
£0.00
£1,000.00
£2,000.00
£3,000.00
£4,000.00
£5,000.00
£6,000.00
£7,000.00
Display Paid Search Organic
Cost per conversion by Attribution Model
CPA by last click CPA by time decay
What channels is display supporting the most?
Findings:
Organic is the largest recipient of display
media efforts
Insights:
Stopping all display advertising will
affect the performance of Organic Direct
and PPC channels
119
55 58
0
20
40
60
80
100
120
140
Display effect on Organic Display effect on PPC Display effect on Direct
Display effect on Organic, PPC and Direct
conversions
Recommendations:
Do not cease this activity as it will have
a negative impact on conversions from
other channels.
Explore new channels e.g. e-mail. Test
and learn approach.
Remember your insights are as good
as the quality of your data !
Start cleaning your data now and
create insights that drive actions!
Questions?

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Using Google Analytics to turn data into action

  • 1. Using Google Analytics 360 to turn data into actions Overherd – Nov 2018 Alina Sisianu
  • 2. About me • Web Analytics Specialist at World Vision • Digital Marketing Freelancer • Previous: Insights Manager at Pauley Creative Twitter: @alinasisianu
  • 3. “We have so much data on the web, almost all of it is available for free, that we dive into the data ocean hoping that magically awesome things will follow. They never do.” Avinash Kaushik
  • 4. Google Analytics and Google analytics 360 is a cloud based platform that gathers website traffic data. It can do wonders but…
  • 5. ... it has got it’s limitations
  • 6.
  • 7. Your insights are as good as the quality of your data Poor Quality Data Wrong Insights Bad Decisions
  • 8. How to ensure your GA data is clean?
  • 9. 3 tips to keep GA data clean 1 2 3 Use UTM tags Use Filters Audit website tags
  • 10. Use UTM tags to track campaigns 1 2 Use UTM tags to measure: • Emails campaigns • Direct Mail • Paid Ads • Social Media Posts • TV & Radio • PR • Content marketing • Etc. https://ga-dev-tools.appspot.com/campaign-url-builder/
  • 11. Use filters to control which data is included in your reports 2 What should we filter? • Internal traffic • Traffic from agencies and other partners • Google Bots • Referral Spam
  • 12. Website tag audits 2 Use tools such as • WASP http://www.webanalyticssolutionprofiler.com/#axzz5Xs6I1MYj • Observer Point tag debugger https://www.observepoint.com/tag-debugger/ • Tag Inspector https://taginspector.com
  • 13. LET’S LOOK AT THE INSIGHTS WE CAN CREATE
  • 14. Are we targeting the right audience?
  • 16. Audience Demographic 70% Findings: • 70% of online enquiries come from people aged between 18-34, mostly females. 0 50 100 150 200 25-34 35-44 18-24 45-54 55-64 65+ Conversions by age Insights: • We are targeting the wrong audience for this product and channel. Recommendations: • Find attrition Rate for this audience & Calculate LTV • Target the younger audience online if they prove to stay with us beyond the 1 year mark 30% 0% 20% 40% 60% 80% Female Male Conversions by gender: Segment 18 - 34
  • 17. Audience Geo Findings: • 42% of conversions are from London • 87% of these convert via Organic (154) and PPC(157) • Half of the PPC conversions are branded (WV) and the other half come from product specific keyword that world vision currently does not rank well for. Insights: • Higher brand and product awareness in and around London Recommendations: • Increase the PPC budget for London region. Bid more aggressively in this region on company name and product keywords • Look at increasing brand awareness in other target cities. 42% 2%2% 1% 1% 1%1% 10% % Conversions by location London Glasgow Edinburgh Birmingham Manchester Liverpool Milton Keynes Leeds Newcastle upon Tyne Bristol Croydon Reading Cambridge Other London
  • 18. Where to find the audience report in GA ? Note: This is a generic GA account
  • 19. Measuring the performance of Display advertising
  • 20. Channel spent breakdown 47% 19% 9% 0% 5% 10% 15% 20% 25% 30% 35% 40% 45% 50% Display Paid Search Organic % of the total spend • 47% of the budget spent on Display advertising • Testing if bringing more people in the funnel generates higher conversions
  • 21. Channel conversion breakdown Finding: Based on the last click attribution model display has generated 4% of the total conversions PPC and Organic drives the most conversions 47% 19% 9% 4% 34% 28% 0% 5% 10% 15% 20% 25% 30% 35% 40% 45% 50% Display Paid Search Organic Spend vs conversions by channel (last click) % of total spend % of the total number of conversions (Last Click)
  • 22. Display is mostly an assisting channel Findings: Direct, Organic, and PPC act more as closers along the way towards conversions, whereas email, and display work more as introducers/engager Insights: Display does not get it’s full value in a last click attribution model. 70% 60% 50% 45% 42% 40% 38% 37% 0% 30% 40% 50% 55% 58% 60% 62% 63% 100% 0% 20% 40% 60% 80% 100% 120% Display Email Social [Organic] Organic Search [Unknown] Paid Search [Branded] Direct Paid Search [Non-Branded] Referral Organic Search [Branded] Assisting vs Last click conversions by channel Assisted Conversions Last click Conversions
  • 24. Applying time decay model to measure multichannel conversions Finding: Using Time decay Model all 3 channels have seen an increase in value. Display now accounts for 6% of conversions. Insights: We have overinvested in display advertising 47% 19% 9% 6% 35% 32% 4% 34% 28% 0% 5% 10% 15% 20% 25% 30% 35% 40% 45% 50% Display Paid Search Organic Channel performance by attribution model (last click vs time decay) % of total spend % of total conversions (time decay) % of total conversions (last click)
  • 25. Display cost per acquisition is significantly improved with the time decay model Findings: In a time decay model CPA is improved for all 3 channels. Display CPA is has seen the biggest impact. Insights: Display generates more value than we have initially credit it for. CPA is still to high. Recommendations: Scale back Display advertising to the point of positive ROI. £6,221.08 £285.02 £162.95 £4,205.80 £276.58 £146.98 £0.00 £1,000.00 £2,000.00 £3,000.00 £4,000.00 £5,000.00 £6,000.00 £7,000.00 Display Paid Search Organic Cost per conversion by Attribution Model CPA by last click CPA by time decay
  • 26. What channels is display supporting the most? Findings: Organic is the largest recipient of display media efforts Insights: Stopping all display advertising will affect the performance of Organic Direct and PPC channels 119 55 58 0 20 40 60 80 100 120 140 Display effect on Organic Display effect on PPC Display effect on Direct Display effect on Organic, PPC and Direct conversions Recommendations: Do not cease this activity as it will have a negative impact on conversions from other channels. Explore new channels e.g. e-mail. Test and learn approach.
  • 27. Remember your insights are as good as the quality of your data !
  • 28. Start cleaning your data now and create insights that drive actions!