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Cracking the Data
Understand how website data
can give you profitable insights
Anna Lewis
Digital Hampshire
April 2017
Anna Lewis
• Founder of Polka Dot Data
• Helped over 100 businesses use data wisely
• 9 years analytics experience
• Total Google Analytics geek
• Background in SEO and PPC
• Agency, client side and freelance experience
© Koozai Ltd
Cracking the data
What’s your
business plan?
Growth, hiring,
investments, sales,
targets, details etc
What’s your website
plan? It has to look
really good!
Cracking the data
What’s your
business plan?
Growth, hiring,
investments, sales,
targets, details etc
What’s your website
plan? It has to look
really good!
Consider business KPIs when planning websites
What does web analytics tell you?
• Sessions
• Bounce Rate
• Pages
• Conversion Rate
• Traffic sources
Our survey said!
What CAN web analytics tell you?
• Products / bookings sold
• Groups of content viewed
• Conversion rates of marketing channels
• Which mobile phone models were used
• Browser versions, IP locations, Networks
The less known
answers are!
What CAN web analytics tell you?
• Sessions / Days to sale
• Top performing entry pages
• Which groups of content perform best
• What content you should write for your KPIs
• Which version of a page generates more sales
The less known
answers are!
What CAN web analytics tell you?
• Products returned
• Products added to cart
• Products removed from carts
• Payment and delivery methods used
• Drop out rates for payment and delivery
The less known
answers are!
What CAN web analytics tell you?
• Traffic with low value
• Customers with intent to buy
• High value returning customers activity on site
• Which FAQ pages & information help sales
• Products added to cart but not purchased
The less known
answers are!
What CAN web analytics tell you?
We aim to reduce the drop out from delivery
from 25% to 22%.
This will generate 100 more sales per month.
With an AOV of £50, this is £5k extra / month.
That’s a £60,000 per year revenue increase.
The investment to improve delivery will cost £10k,
meaning a profit of £50k in the first year.
What CAN web analytics tell you?
We aim to reduce the drop out from delivery
from 25% to 22%.
This will generate 100 more sales per month.
With an AOV of £50, this is £5k extra / month.
That’s a £60,000 per year revenue increase.
The investment to improve delivery will cost £10k,
meaning a profit of £50k in the first year.
What CAN web analytics tell you?
We aim to reduce the drop out from delivery
from 25% to 22%.
This will generate 100 more sales per month.
With an AOV of £50, this is £5k extra / month.
That’s a £60,000 per year revenue increase.
The investment to improve delivery will cost £10k,
meaning a profit of £50k in the first year.
What CAN web analytics tell you?
We aim to reduce the drop out from delivery
from 25% to 22%.
This will generate 100 more sales per month.
With an AOV of £50, this is £5k extra / month.
That’s a £60,000 per year revenue increase.
The investment to improve delivery will cost £10k,
meaning a profit of £50k in the first year.
What CAN web analytics tell you?
We aim to reduce the drop out from delivery
from 25% to 22%.
This will generate 100 more sales per month.
With an AOV of £50, this is £5k extra / month.
That’s a £60,000 per year revenue increase.
The investment to improve delivery will cost £10k,
meaning a profit of £50k in the first year.
Enhanced
Ecommerce
Showcase
Shopping Behaviour
Shopping Behaviour
Apply segments
Create segments
Improve journey
Uplift Conv. Rate
Improve return
Shopping Behaviour
Viewed page
Read 50%
Read 100%
Viewed more
Converted
https://www.simoahava.com/analytics/
track-content-enhanced-ecommerce/
Checkout Behaviour
Checkout Behaviour
Apply segments
Create segments
Improve journey
Uplift Conv. Rate
Improve return
Checkout Behaviour
Pinpoint issues
Monitor change
Easily report
Extra Detail
Remarketing
Product Performance
Product Performance
Product Performance
• Buy to Detail Rate
• What % of product views resulted in a purchase
• Which products are not selling themselves well enough on site?
• Which products may not have a competitive enough offering?
• Are certain brands / categories easier purchases than others?
• Do some products need to be marketed better / better copy / cheaper?
• Cart to Detail Rate
• What % of product views resulted in add to cart
• Monitor drop outs
• Where do you need to remarket?
• Why do people add to cart but not purchase ?
• Are people window shopping or have intent to buy certain categories?
Product Performance - Category
Product Performance - Category
Find profitable categories
Monitor promoted areas
Identify high return rates
Prod. Performance - Shopping Behaviour
Prod. Performance - Shopping Behaviour
So much detail!
Prod. Performance - Shopping Behaviour
Visibility Actual sales
Click throughs
Changed minds
Intent Product CR
Product List Performance
Product List Performance
Which lists are
more successful?
Product List Position
Best
Practices
Write a
Measurement
Plan
Good Web Analytics Foundations
Ensure
high quality
set up
Learn
how to
use the
data
Find
what
works for
you
Set KPIs,
benchmarks
and good/bad
thresholds
Identify KPIs
for business
Measurement
Plan
Accurate set
up & code
Reports &
Dashboards
Find actionable
insights
Make updates
& AB test
Measure
success
Make updates
& AB test
Measure
success
Check &
update set up
Make updates
& AB test
Measure
success
Make updates
& AB test
Measure
success
Make updates
& AB test
Recommended Analytics Process
Analytics
Training
Insights
Dashboards
Reports
Get stuck in to your data!
Anna Lewis
polkadotdata.com
anna@polkadotdata.com
Set up &
Auditing

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Using Enhanced Ecommerce in Google Analytics for Business Growth

  • 1. Cracking the Data Understand how website data can give you profitable insights Anna Lewis Digital Hampshire April 2017
  • 2. Anna Lewis • Founder of Polka Dot Data • Helped over 100 businesses use data wisely • 9 years analytics experience • Total Google Analytics geek • Background in SEO and PPC • Agency, client side and freelance experience © Koozai Ltd
  • 3. Cracking the data What’s your business plan? Growth, hiring, investments, sales, targets, details etc What’s your website plan? It has to look really good!
  • 4. Cracking the data What’s your business plan? Growth, hiring, investments, sales, targets, details etc What’s your website plan? It has to look really good! Consider business KPIs when planning websites
  • 5. What does web analytics tell you? • Sessions • Bounce Rate • Pages • Conversion Rate • Traffic sources Our survey said!
  • 6. What CAN web analytics tell you? • Products / bookings sold • Groups of content viewed • Conversion rates of marketing channels • Which mobile phone models were used • Browser versions, IP locations, Networks The less known answers are!
  • 7. What CAN web analytics tell you? • Sessions / Days to sale • Top performing entry pages • Which groups of content perform best • What content you should write for your KPIs • Which version of a page generates more sales The less known answers are!
  • 8. What CAN web analytics tell you? • Products returned • Products added to cart • Products removed from carts • Payment and delivery methods used • Drop out rates for payment and delivery The less known answers are!
  • 9. What CAN web analytics tell you? • Traffic with low value • Customers with intent to buy • High value returning customers activity on site • Which FAQ pages & information help sales • Products added to cart but not purchased The less known answers are!
  • 10. What CAN web analytics tell you? We aim to reduce the drop out from delivery from 25% to 22%. This will generate 100 more sales per month. With an AOV of £50, this is £5k extra / month. That’s a £60,000 per year revenue increase. The investment to improve delivery will cost £10k, meaning a profit of £50k in the first year.
  • 11. What CAN web analytics tell you? We aim to reduce the drop out from delivery from 25% to 22%. This will generate 100 more sales per month. With an AOV of £50, this is £5k extra / month. That’s a £60,000 per year revenue increase. The investment to improve delivery will cost £10k, meaning a profit of £50k in the first year.
  • 12. What CAN web analytics tell you? We aim to reduce the drop out from delivery from 25% to 22%. This will generate 100 more sales per month. With an AOV of £50, this is £5k extra / month. That’s a £60,000 per year revenue increase. The investment to improve delivery will cost £10k, meaning a profit of £50k in the first year.
  • 13. What CAN web analytics tell you? We aim to reduce the drop out from delivery from 25% to 22%. This will generate 100 more sales per month. With an AOV of £50, this is £5k extra / month. That’s a £60,000 per year revenue increase. The investment to improve delivery will cost £10k, meaning a profit of £50k in the first year.
  • 14. What CAN web analytics tell you? We aim to reduce the drop out from delivery from 25% to 22%. This will generate 100 more sales per month. With an AOV of £50, this is £5k extra / month. That’s a £60,000 per year revenue increase. The investment to improve delivery will cost £10k, meaning a profit of £50k in the first year.
  • 17. Shopping Behaviour Apply segments Create segments Improve journey Uplift Conv. Rate Improve return
  • 18. Shopping Behaviour Viewed page Read 50% Read 100% Viewed more Converted https://www.simoahava.com/analytics/ track-content-enhanced-ecommerce/
  • 20. Checkout Behaviour Apply segments Create segments Improve journey Uplift Conv. Rate Improve return
  • 21. Checkout Behaviour Pinpoint issues Monitor change Easily report Extra Detail Remarketing
  • 24. Product Performance • Buy to Detail Rate • What % of product views resulted in a purchase • Which products are not selling themselves well enough on site? • Which products may not have a competitive enough offering? • Are certain brands / categories easier purchases than others? • Do some products need to be marketed better / better copy / cheaper? • Cart to Detail Rate • What % of product views resulted in add to cart • Monitor drop outs • Where do you need to remarket? • Why do people add to cart but not purchase ? • Are people window shopping or have intent to buy certain categories?
  • 26. Product Performance - Category Find profitable categories Monitor promoted areas Identify high return rates
  • 27. Prod. Performance - Shopping Behaviour
  • 28. Prod. Performance - Shopping Behaviour So much detail!
  • 29. Prod. Performance - Shopping Behaviour Visibility Actual sales Click throughs Changed minds Intent Product CR
  • 31. Product List Performance Which lists are more successful?
  • 34. Write a Measurement Plan Good Web Analytics Foundations Ensure high quality set up Learn how to use the data Find what works for you Set KPIs, benchmarks and good/bad thresholds
  • 35. Identify KPIs for business Measurement Plan Accurate set up & code Reports & Dashboards Find actionable insights Make updates & AB test Measure success Make updates & AB test Measure success Check & update set up Make updates & AB test Measure success Make updates & AB test Measure success Make updates & AB test Recommended Analytics Process
  • 36. Analytics Training Insights Dashboards Reports Get stuck in to your data! Anna Lewis polkadotdata.com anna@polkadotdata.com Set up & Auditing