A/B Split testing - Revision history

Lori at 20:21, 10 July 2020

2020-07-10T20:21:36Z

Lori at 19:14, 10 July 2020

2020-07-10T19:14:36Z

Lori at 19:14, 10 July 2020

2020-07-10T19:14:06Z

Lori at 19:12, 10 July 2020

2020-07-10T19:12:58Z

Lori at 14:47, 5 February 2019

2019-02-05T14:47:42Z

Lori at 14:46, 5 February 2019

2019-02-05T14:46:53Z

Admin at 16:23, 27 November 2012

2012-11-27T16:23:19Z

Admin: Created page with 'A/B Split testing (or A/B Testing) is a marketing term which describes testing two variations of a marketing message on customers to determine which message is more effective in …'

2012-11-27T16:22:56Z

Created page with 'A/B Split testing (or A/B Testing) is a marketing term which describes testing two variations of a marketing message on customers to determine which message is more effective in …'

New page

A/B Split testing (or A/B Testing) is a marketing term which describes testing two variations of a marketing message on customers to determine which message is more effective in producing [[Conversion Action]]s by customers.

The "A" and "B" refer to the two marketing messages or designs.

## Mechanism ##

When a visitor comes to a website, the site implements a means to divide visitors into one or more groups (The "A" group, the "B" group, etc.) ConversionRuler customers can download a script to do this (available in [[PHP}] or [[ASP]] - ask for other implementations). Best case scenario to to divide traffic equally between both sources. Typically the "division" can be handled by a [[redirect]] to another set of pages.

When splitting traffic:

* Do so equally, or consistently, to be able to compare leads to conversions.
* Pages should have analogous "conversion points" - meaning you should not have one page have a "Buy Now" button and another lead to a dead end, for example
* [[Conversion Tracking]] should be installed on each page, and pages should record differently

## Analyzing Results ##

The larger your sample size for A/B Testing, the better results you will get. When your [[Conversion Tracking]] software runs a report, you should be able to get something like:

{|
!align="left"|Test
!align="left"|Landings
!align="right"|Orders
!align="right"|Amount
|-
|A
|1023
|56
|$394.32
|-
|B
|1021
|32
|$561.44
|}

In this case, you can see that '''Test A''' had more conversions, but had a lower revenue totals. Depending on the value of return customers for a campaign, marketers can make a decision based on the effectiveness of each message and the desired result to maximize profit.

[[Category:Technical]]
[[Category:Glossary]]

@@ Line 5: / Line 5: @@
 == Mechanism ==
-When a visitor comes to a website, the site implements a means to divide visitors into one or more groups (The "A" group, the "B" group, etc.) ConversionRuler customers can download a script to do this (available in [[PHP}] or [[ASP]] - ask for other implementations). Best case scenario to to divide traffic equally between both sources. Typically the "division" can be handled by a [[redirect]] to another set of pages.
+When a visitor comes to a website, the site implements a means to divide visitors into one or more groups (The "A" group, the "B" group, etc.) ConversionRuler customers can download a script to do this (available in [[PHP}] or [[ASP]] - ask for other implementations). Best case scenario is to divide traffic equally between both sources. Typically the "division" can be handled by a [[redirect]] to another set of pages.
 When splitting traffic:

@@ Line 1: / Line 1: @@
 A/B Split testing (or A/B Testing) is a marketing term which describes testing two variations of a marketing message on customers to determine which message is more effective in producing [[Conversion Action]]s by customers.
-The "A" and "B" refer to the two marketing messages or designs.
+The "A" and "B" refer to the two marketing messages or designs. [[New Page Here]]
 == Mechanism ==

← Older revision		Revision as of 14:46, 5 February 2019
Line 38:		Line 38:
	[[Category:Technical]]		[[Category:Technical]]
	[[Category:Glossary]]		[[Category:Glossary]]
		+	[[Category:Marketing Tools]]

@@ Line 17: / Line 17: @@
 The larger your sample size for A/B Testing, the better results you will get. When your [[Conversion Tracking]] software runs a report, you should be able to get something like:
- {|
+{| cellspacing=10px; cellpadding=10px
-!align="left"|Test
+|-
-!align="left"|Landings
+! scope="col" |Test
-!align="right"|Orders
+! scope="col" | Landings
-!align="right"|Amount
+! scope="col" | Orders
 |-
 |A

@@ Line 34: / Line 34: @@
 |}
-In this case, you can see that '''Test A''' had more conversions, but had a lower revenue totals. Depending on the value of return customers for a campaign, marketers can make a decision based on the effectiveness of each message and the desired result to maximize profit.
+In this case, you can see that '''Test A''' had more conversions, but had a lower revenue total. Depending on the value of return customers for a campaign, marketers can make a decision based on the effectiveness of each message and the desired result to maximize profit.
 [[Category:Technical]]
 [[Category:Glossary]]
 [[Category:Marketing Tools]]

@@ Line 9: / Line 9: @@
 When splitting traffic:
-* Do so equally, or consistently, to be able to compare leads to conversions.
+* Do so equally, or consistently, to be able to compare leads to conversions
 * Pages should have analogous "conversion points" - meaning you should not have one page have a "Buy Now" button and another lead to a dead end, for example
 * [[Conversion Tracking]] should be installed on each page, and pages should record differently