SlideShare a Scribd company logo
Stephen Tucker
Twitter: @buntingpro
www.getbunting.com
Experiment 1
Retailer & Products
Retailer of drink accessories (glasses, decanters, etc).
Hypothesis:
Product recommendations on the product page, showing similar
alternatives to the product being viewed, will help visitors find what
they’re looking for, and thus increase the conversion rate.
Solution:
Product recommendations on product page, below main product image.
Variation A - 6x1 recommendations, algorithm-driven
Variation B - 5x1 recommendations, algorithm-driven
Control - no recommendations
Experiment 2
Hypothesis:
Product recommendations on the cart page, showing complementary
additions to the product(s) in the shopper’s cart, will increase average
order value.
Solution:
Product recommendations on cart page, below shopping cart details and
‘checkout’ button.
Variation A - 6x1 recommendations, algorithm-driven
Variation B - 5x1 recommendations, algorithm-driven
Control - no recommendations
Variation A - 6x1 recommendations, algorithm-driven
Variation B - 5x1 recommendations, algorithm-driven
7 things we’ve learnt at Bunting that will
improve your recommendation performance
7 things we’ve learnt at Bunting that will
improve your recommendation performance
1) Quantity / image size can dramatically affect performance
7 things we’ve learnt at Bunting that will
improve your recommendation performance
1) Quantity / image size can dramatically affect performance
2) Use isolated images, rather than lifestyle images
7 things we’ve learnt at Bunting that will
improve your recommendation performance
1) Quantity / image size can dramatically affect performance
2) Use isolated images, rather than lifestyle images
3) Place your recommendations directly below main product photo /
summary description, but above product description
7 things we’ve learnt at Bunting that will
improve your recommendation performance
1) Quantity / image size can dramatically affect performance
2) Use isolated images, rather than lifestyle images
3) Place your recommendations directly below main product photo /
summary description, but above product description
4) Recommendations grids: horizontal generally perform better on
desktops, while vertical should be used on small mobile devices
7 things we’ve learnt at Bunting that will
improve your recommendation performance
1) Quantity / image size can dramatically affect performance
2) Use isolated images, rather than lifestyle images
3) Place your recommendations directly below main product photo /
summary description, but above product description
4) Recommendations grids: horizontal generally perform better on
desktops, while vertical should be used on small mobile devices
5) Remember the context! Product page recommendations should be
similar alternatives to the main product. Post-add-to-cart
recommendations should be complimentary extras to the cart
contents
7 things we’ve learnt at Bunting that will
improve your recommendation performance
1) Quantity / image size can dramatically affect performance
2) Use isolated images, rather than lifestyle images
3) Place your recommendations directly below main product photo /
summary description, but above product description
4) Recommendations grids: horizontal generally perform better on
desktops, while vertical should be used on small mobile devices
5) Remember the context! Product page recommendations should be
similar alternatives to the main product. Post-add-to-cart
recommendations should be complimentary extras to the cart contents
6) Use big data recommendations, rather than human assigned
7 things we’ve learnt at Bunting that will
improve your recommendation performance
1) Quantity / image size can dramatically affect performance
2) Use isolated images, rather than lifestyle images
3) Place your recommendations directly below main product photo /
summary description, but above product description
4) Recommendations grids: horizontal generally perform better on
desktops, while vertical should be used on small mobile devices
5) Remember the context! Product page recommendations should be
similar alternatives to the main product. Post-add-to-cart
recommendations should be complimentary extras to the cart contents
6) Use big data recommendations, rather than human assigned
7) Split test different recommendation content
(eg: most popular vs. related)
Twitter: @buntingpro
Free trial our tool:
www.getbunting.com/register

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Introduction to Personalisation - Stephen Tucker

  • 2. Experiment 1 Retailer & Products Retailer of drink accessories (glasses, decanters, etc). Hypothesis: Product recommendations on the product page, showing similar alternatives to the product being viewed, will help visitors find what they’re looking for, and thus increase the conversion rate. Solution: Product recommendations on product page, below main product image.
  • 3. Variation A - 6x1 recommendations, algorithm-driven Variation B - 5x1 recommendations, algorithm-driven Control - no recommendations
  • 4.
  • 5.
  • 6. Experiment 2 Hypothesis: Product recommendations on the cart page, showing complementary additions to the product(s) in the shopper’s cart, will increase average order value. Solution: Product recommendations on cart page, below shopping cart details and ‘checkout’ button.
  • 7. Variation A - 6x1 recommendations, algorithm-driven Variation B - 5x1 recommendations, algorithm-driven Control - no recommendations Variation A - 6x1 recommendations, algorithm-driven Variation B - 5x1 recommendations, algorithm-driven
  • 8.
  • 9.
  • 10. 7 things we’ve learnt at Bunting that will improve your recommendation performance
  • 11. 7 things we’ve learnt at Bunting that will improve your recommendation performance 1) Quantity / image size can dramatically affect performance
  • 12. 7 things we’ve learnt at Bunting that will improve your recommendation performance 1) Quantity / image size can dramatically affect performance 2) Use isolated images, rather than lifestyle images
  • 13. 7 things we’ve learnt at Bunting that will improve your recommendation performance 1) Quantity / image size can dramatically affect performance 2) Use isolated images, rather than lifestyle images 3) Place your recommendations directly below main product photo / summary description, but above product description
  • 14. 7 things we’ve learnt at Bunting that will improve your recommendation performance 1) Quantity / image size can dramatically affect performance 2) Use isolated images, rather than lifestyle images 3) Place your recommendations directly below main product photo / summary description, but above product description 4) Recommendations grids: horizontal generally perform better on desktops, while vertical should be used on small mobile devices
  • 15. 7 things we’ve learnt at Bunting that will improve your recommendation performance 1) Quantity / image size can dramatically affect performance 2) Use isolated images, rather than lifestyle images 3) Place your recommendations directly below main product photo / summary description, but above product description 4) Recommendations grids: horizontal generally perform better on desktops, while vertical should be used on small mobile devices 5) Remember the context! Product page recommendations should be similar alternatives to the main product. Post-add-to-cart recommendations should be complimentary extras to the cart contents
  • 16. 7 things we’ve learnt at Bunting that will improve your recommendation performance 1) Quantity / image size can dramatically affect performance 2) Use isolated images, rather than lifestyle images 3) Place your recommendations directly below main product photo / summary description, but above product description 4) Recommendations grids: horizontal generally perform better on desktops, while vertical should be used on small mobile devices 5) Remember the context! Product page recommendations should be similar alternatives to the main product. Post-add-to-cart recommendations should be complimentary extras to the cart contents 6) Use big data recommendations, rather than human assigned
  • 17. 7 things we’ve learnt at Bunting that will improve your recommendation performance 1) Quantity / image size can dramatically affect performance 2) Use isolated images, rather than lifestyle images 3) Place your recommendations directly below main product photo / summary description, but above product description 4) Recommendations grids: horizontal generally perform better on desktops, while vertical should be used on small mobile devices 5) Remember the context! Product page recommendations should be similar alternatives to the main product. Post-add-to-cart recommendations should be complimentary extras to the cart contents 6) Use big data recommendations, rather than human assigned 7) Split test different recommendation content (eg: most popular vs. related)
  • 18. Twitter: @buntingpro Free trial our tool: www.getbunting.com/register

Editor's Notes

  1. Variables influencing the result Size of product recommendation images Smaller recommendation images of Variation A will reduce the detail, which could affect the incentive to click. Number of recommendations Recommendations 1-5 are identical in both variations. However the additional 6th recommendation in Variation A will raise the chance of showing the visitor the right desirable alternative for them. Vertical height Taller images on Variation B could increase the chance of that image / product details are cropped below the fold. Variables influencing the result Size of product recommendation images Smaller recommendation images of Variation A will reduce the detail, which could affect the incentive to click. Number of recommendations Recommendations 1-5 are identical in both variations. However the additional 6th recommendation in Variation A will raise the chance of showing the visitor the right desirable alternative for them. Vertical height Taller images on Variation B could increase the chance of that image / product details are cropped below the fold. sdsd