Best A/B Testing Tools

A
Researched and written by Alanna Iwuh

A/B testing tools and software tests versions of webpages and digital experiences to promote the best outcomes. Marketers and web developers use A/B testing tools to deploy different versions of digital content, such as calls to action or images, and track which variation encourages more visitors to convert. Performance results can be combined with segmentation data (such as the visitor’s age, or whether they arrived via social media or search) to personalize experiences to each visitor. Marketers use these platforms to improve conversion rates and engage more of the visitors that interact with their brands online.

Testing and personalization platforms are deployed on top of web development infrastructure and web content management software, and they integrate with digital analytics software and heatmap tools to track visitor behavior.

To qualify for inclusion in the A/B Testing Tools category, a product must:

Conduct split-traffic experiments with defined, trackable goals to determine best performing web content
Deploy multiple versions of any web content in real time
Perform split-URL experiments
Adjust and manage traffic volume to experiment variations
Provide tools for both technical and non-technical users to perform tests

Best A/B Testing Tools At A Glance

Highest Performer:
Best Contender:
Most Niche:
Most Trending:
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Most Niche:
Most Trending:

G2 takes pride in showing unbiased reviews on user satisfaction in our ratings and reports. We do not allow paid placements in any of our ratings, rankings, or reports. Learn about our scoring methodologies.

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166 Listings in A/B Testing Available
(736)4.3 out of 5
14th Easiest To Use in A/B Testing software
Save to My Lists
Entry Level Price:Contact Us
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Running an experimentation program is tricky. Whether your goal is to boost website conversion or improve user experience, there’s just so much you need to do to get things right. That’s why thousan

    Users
    • Product Manager
    • Digital Marketing Manager
    Industries
    • Computer Software
    • Marketing and Advertising
    Market Segment
    • 57% Mid-Market
    • 27% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • VWO Testing Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    125
    Customer Support
    114
    A/B Testing
    102
    Testing Efficiency
    91
    Helpful
    66
    Cons
    Limitations
    45
    Missing Features
    36
    Limited Features
    33
    Learning Curve
    32
    Difficult Learning
    27
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • VWO Testing features and usability ratings that predict user satisfaction
    8.9
    Has the product been a good partner in doing business?
    Average: 9.1
    8.2
    Reporting and Analytics
    Average: 8.4
    8.3
    Multivariate testing capacities
    Average: 8.5
    6.5
    AI/Machine Learning
    Average: 7.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2010
    HQ Location
    New Delhi
    Twitter
    @wingify
    7,493 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    384 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Running an experimentation program is tricky. Whether your goal is to boost website conversion or improve user experience, there’s just so much you need to do to get things right. That’s why thousan

Users
  • Product Manager
  • Digital Marketing Manager
Industries
  • Computer Software
  • Marketing and Advertising
Market Segment
  • 57% Mid-Market
  • 27% Small-Business
VWO Testing Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
125
Customer Support
114
A/B Testing
102
Testing Efficiency
91
Helpful
66
Cons
Limitations
45
Missing Features
36
Limited Features
33
Learning Curve
32
Difficult Learning
27
VWO Testing features and usability ratings that predict user satisfaction
8.9
Has the product been a good partner in doing business?
Average: 9.1
8.2
Reporting and Analytics
Average: 8.4
8.3
Multivariate testing capacities
Average: 8.5
6.5
AI/Machine Learning
Average: 7.5
Seller Details
Company Website
Year Founded
2010
HQ Location
New Delhi
Twitter
@wingify
7,493 Twitter followers
LinkedIn® Page
www.linkedin.com
384 employees on LinkedIn®
(658)4.6 out of 5
Optimized for quick response
Save to My Lists
Entry Level Price:Contact Us
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Bloomreach is the agentic platform for personalization. Powering autonomous search, conversational shopping, and autonomous marketing, Bloomreach personalizes the entire customer experience. From reta

    Users
    • CRM Manager
    • Marketing Specialist
    Industries
    • Retail
    • Marketing and Advertising
    Market Segment
    • 50% Mid-Market
    • 28% Small-Business
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Bloomreach is a comprehensive Customer Data Platform and Marketing Automation tool that provides advanced features for marketers, including personalization, segmentation, and reporting capabilities.
    • Users frequently mention the platform's intuitive interface, robust functionality, and exceptional customer support, praising its ability to deliver personalized communication and provide detailed insights into customer behavior.
    • Reviewers mentioned that the platform can be complex for first-time users, the integration process could be faster, and there are occasional issues with report reliability and slow loading times.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Bloomreach Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    116
    Features
    99
    Customer Support
    96
    Helpful
    87
    Analytics
    58
    Cons
    Learning Curve
    75
    Limited Features
    51
    Missing Features
    49
    Learning Difficulty
    47
    Limitations
    41
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Bloomreach features and usability ratings that predict user satisfaction
    9.1
    Has the product been a good partner in doing business?
    Average: 9.1
    8.3
    Reporting and Analytics
    Average: 8.4
    8.2
    Multivariate testing capacities
    Average: 8.5
    7.0
    AI/Machine Learning
    Average: 7.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2009
    HQ Location
    Mountain View, CA
    Twitter
    @bloomreach_tm
    10,588 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,071 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Bloomreach is the agentic platform for personalization. Powering autonomous search, conversational shopping, and autonomous marketing, Bloomreach personalizes the entire customer experience. From reta

Users
  • CRM Manager
  • Marketing Specialist
Industries
  • Retail
  • Marketing and Advertising
Market Segment
  • 50% Mid-Market
  • 28% Small-Business
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Bloomreach is a comprehensive Customer Data Platform and Marketing Automation tool that provides advanced features for marketers, including personalization, segmentation, and reporting capabilities.
  • Users frequently mention the platform's intuitive interface, robust functionality, and exceptional customer support, praising its ability to deliver personalized communication and provide detailed insights into customer behavior.
  • Reviewers mentioned that the platform can be complex for first-time users, the integration process could be faster, and there are occasional issues with report reliability and slow loading times.
Bloomreach Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
116
Features
99
Customer Support
96
Helpful
87
Analytics
58
Cons
Learning Curve
75
Limited Features
51
Missing Features
49
Learning Difficulty
47
Limitations
41
Bloomreach features and usability ratings that predict user satisfaction
9.1
Has the product been a good partner in doing business?
Average: 9.1
8.3
Reporting and Analytics
Average: 8.4
8.2
Multivariate testing capacities
Average: 8.5
7.0
AI/Machine Learning
Average: 7.5
Seller Details
Company Website
Year Founded
2009
HQ Location
Mountain View, CA
Twitter
@bloomreach_tm
10,588 Twitter followers
LinkedIn® Page
www.linkedin.com
1,071 employees on LinkedIn®

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(283)4.5 out of 5
Optimized for quick response
6th Easiest To Use in A/B Testing software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    At AB Tasty, we’re your partner for pushing great ideas even further through optimization. We achieve this by empowering brands to build better experiences using personalization, experimentation, reco

    Users
    No information available
    Industries
    • Retail
    • Cosmetics
    Market Segment
    • 47% Mid-Market
    • 36% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • AB Tasty Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    58
    Customer Support
    52
    Experience
    29
    Testing Efficiency
    26
    A/B Testing
    25
    Cons
    Learning Curve
    10
    Limitations
    9
    Testing Difficulties
    9
    Missing Features
    8
    Technical Issues
    8
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • AB Tasty features and usability ratings that predict user satisfaction
    9.2
    Has the product been a good partner in doing business?
    Average: 9.1
    7.9
    Reporting and Analytics
    Average: 8.4
    8.3
    Multivariate testing capacities
    Average: 8.5
    6.2
    AI/Machine Learning
    Average: 7.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    AB Tasty
    Company Website
    Year Founded
    2009
    HQ Location
    PARIS, France
    Twitter
    @ABTasty
    12,088 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    356 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

At AB Tasty, we’re your partner for pushing great ideas even further through optimization. We achieve this by empowering brands to build better experiences using personalization, experimentation, reco

Users
No information available
Industries
  • Retail
  • Cosmetics
Market Segment
  • 47% Mid-Market
  • 36% Enterprise
AB Tasty Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
58
Customer Support
52
Experience
29
Testing Efficiency
26
A/B Testing
25
Cons
Learning Curve
10
Limitations
9
Testing Difficulties
9
Missing Features
8
Technical Issues
8
AB Tasty features and usability ratings that predict user satisfaction
9.2
Has the product been a good partner in doing business?
Average: 9.1
7.9
Reporting and Analytics
Average: 8.4
8.3
Multivariate testing capacities
Average: 8.5
6.2
AI/Machine Learning
Average: 7.5
Seller Details
Seller
AB Tasty
Company Website
Year Founded
2009
HQ Location
PARIS, France
Twitter
@ABTasty
12,088 Twitter followers
LinkedIn® Page
www.linkedin.com
356 employees on LinkedIn®
(461)4.5 out of 5
Optimized for quick response
2nd Easiest To Use in A/B Testing software
Save to My Lists
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    With over 25+ years of experience and a global presence across Asia, Europe, and the USA, Netcore Cloud is an AI-powered platform designed to transform customer experience and personalization in the w

    Users
    • Marketing Manager
    • Digital Marketing Manager
    Industries
    • Financial Services
    • Insurance
    Market Segment
    • 48% Mid-Market
    • 35% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Netcore Customer Engagement and Experience Platform Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    190
    Customer Support
    145
    Helpful
    144
    Customer Engagement
    141
    Engagement
    134
    Cons
    Missing Features
    52
    Poor Customer Support
    42
    Slow Loading
    40
    Reporting Issues
    39
    Learning Curve
    37
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Netcore Customer Engagement and Experience Platform features and usability ratings that predict user satisfaction
    9.1
    Has the product been a good partner in doing business?
    Average: 9.1
    8.8
    Reporting and Analytics
    Average: 8.4
    8.4
    Multivariate testing capacities
    Average: 8.5
    8.1
    AI/Machine Learning
    Average: 7.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    1998
    HQ Location
    Mumbai, Maharashtra
    Twitter
    @netcore_cloud
    1,849 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,199 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

With over 25+ years of experience and a global presence across Asia, Europe, and the USA, Netcore Cloud is an AI-powered platform designed to transform customer experience and personalization in the w

Users
  • Marketing Manager
  • Digital Marketing Manager
Industries
  • Financial Services
  • Insurance
Market Segment
  • 48% Mid-Market
  • 35% Enterprise
Netcore Customer Engagement and Experience Platform Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
190
Customer Support
145
Helpful
144
Customer Engagement
141
Engagement
134
Cons
Missing Features
52
Poor Customer Support
42
Slow Loading
40
Reporting Issues
39
Learning Curve
37
Netcore Customer Engagement and Experience Platform features and usability ratings that predict user satisfaction
9.1
Has the product been a good partner in doing business?
Average: 9.1
8.8
Reporting and Analytics
Average: 8.4
8.4
Multivariate testing capacities
Average: 8.5
8.1
AI/Machine Learning
Average: 7.5
Seller Details
Company Website
Year Founded
1998
HQ Location
Mumbai, Maharashtra
Twitter
@netcore_cloud
1,849 Twitter followers
LinkedIn® Page
www.linkedin.com
1,199 employees on LinkedIn®
(494)4.5 out of 5
Optimized for quick response
4th Easiest To Use in A/B Testing software
Save to My Lists
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Founded in 2014 and headquartered in Oakland, California, LaunchDarkly serves over 5,500 enterprises, including a quarter of the Fortune 500. As the industry’s leading end-to-end feature management pl

    Users
    • Software Engineer
    • Senior Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 47% Mid-Market
    • 43% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • LaunchDarkly Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    247
    Feature Flags
    234
    Features
    106
    Easy Setup
    78
    Integrations
    72
    Cons
    Feature Flags Issues
    78
    Feature Flags Management
    64
    Poor UI
    49
    Complex Features
    47
    Confusing Interface
    45
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • LaunchDarkly features and usability ratings that predict user satisfaction
    9.0
    Has the product been a good partner in doing business?
    Average: 9.1
    7.2
    Reporting and Analytics
    Average: 8.4
    8.3
    Multivariate testing capacities
    Average: 8.5
    6.1
    AI/Machine Learning
    Average: 7.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2014
    HQ Location
    Oakland, CA
    Twitter
    @LaunchDarkly
    5,384 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    506 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Founded in 2014 and headquartered in Oakland, California, LaunchDarkly serves over 5,500 enterprises, including a quarter of the Fortune 500. As the industry’s leading end-to-end feature management pl

Users
  • Software Engineer
  • Senior Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 47% Mid-Market
  • 43% Enterprise
LaunchDarkly Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
247
Feature Flags
234
Features
106
Easy Setup
78
Integrations
72
Cons
Feature Flags Issues
78
Feature Flags Management
64
Poor UI
49
Complex Features
47
Confusing Interface
45
LaunchDarkly features and usability ratings that predict user satisfaction
9.0
Has the product been a good partner in doing business?
Average: 9.1
7.2
Reporting and Analytics
Average: 8.4
8.3
Multivariate testing capacities
Average: 8.5
6.1
AI/Machine Learning
Average: 7.5
Seller Details
Company Website
Year Founded
2014
HQ Location
Oakland, CA
Twitter
@LaunchDarkly
5,384 Twitter followers
LinkedIn® Page
www.linkedin.com
506 employees on LinkedIn®
(43)4.5 out of 5
Optimized for quick response
Save to My Lists
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    AppMetrica is an affordable and reliable (yes, it is possible) all-in-one mobile app analytics tool that provides a comprehensive analysis of your mobile app user behavior, in-app revenue, mobile acqu

    Users
    No information available
    Industries
    • Computer Games
    • Information Technology and Services
    Market Segment
    • 60% Small-Business
    • 33% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • AppMetrica Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    26
    Analytics
    21
    Easy Integrations
    17
    Easy Setup
    13
    Integrations
    13
    Cons
    Reporting Issues
    9
    Inadequate Reporting
    8
    Missing Features
    7
    Poor Reporting
    6
    Limitations
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • AppMetrica features and usability ratings that predict user satisfaction
    9.3
    Has the product been a good partner in doing business?
    Average: 9.1
    9.8
    Reporting and Analytics
    Average: 8.4
    9.8
    Multivariate testing capacities
    Average: 8.5
    9.5
    AI/Machine Learning
    Average: 7.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2004
    HQ Location
    Dubai
    LinkedIn® Page
    www.linkedin.com
    53 employees on LinkedIn®
    Ownership
    AppMetrica
Product Description
How are these determined?Information
This description is provided by the seller.

AppMetrica is an affordable and reliable (yes, it is possible) all-in-one mobile app analytics tool that provides a comprehensive analysis of your mobile app user behavior, in-app revenue, mobile acqu

Users
No information available
Industries
  • Computer Games
  • Information Technology and Services
Market Segment
  • 60% Small-Business
  • 33% Mid-Market
AppMetrica Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
26
Analytics
21
Easy Integrations
17
Easy Setup
13
Integrations
13
Cons
Reporting Issues
9
Inadequate Reporting
8
Missing Features
7
Poor Reporting
6
Limitations
4
AppMetrica features and usability ratings that predict user satisfaction
9.3
Has the product been a good partner in doing business?
Average: 9.1
9.8
Reporting and Analytics
Average: 8.4
9.8
Multivariate testing capacities
Average: 8.5
9.5
AI/Machine Learning
Average: 7.5
Seller Details
Company Website
Year Founded
2004
HQ Location
Dubai
LinkedIn® Page
www.linkedin.com
53 employees on LinkedIn®
Ownership
AppMetrica
(407)4.2 out of 5
View top Consulting Services for Optimizely Web Experimentation
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Optimizely Web Experimentation enables marketers and product teams to run fast, scalable experiments and personalization campaigns—without heavy dependence on engineering resources. Easily test user i

    Users
    • Software Engineer
    • Product Manager
    Industries
    • Computer Software
    • Financial Services
    Market Segment
    • 47% Mid-Market
    • 30% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Optimizely Web Experimentation Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    190
    User Interface
    84
    Easy Setup
    68
    Intuitive
    47
    Customer Support
    41
    Cons
    Learning Curve
    49
    Expensive
    29
    Bugs
    24
    Slow Performance
    20
    Integration Issues
    17
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Optimizely Web Experimentation features and usability ratings that predict user satisfaction
    7.9
    Has the product been a good partner in doing business?
    Average: 9.1
    8.2
    Reporting and Analytics
    Average: 8.4
    8.4
    Multivariate testing capacities
    Average: 8.5
    6.4
    AI/Machine Learning
    Average: 7.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1994
    HQ Location
    New York
    Twitter
    @Optimizely
    29,328 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,521 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Optimizely Web Experimentation enables marketers and product teams to run fast, scalable experiments and personalization campaigns—without heavy dependence on engineering resources. Easily test user i

Users
  • Software Engineer
  • Product Manager
Industries
  • Computer Software
  • Financial Services
Market Segment
  • 47% Mid-Market
  • 30% Enterprise
Optimizely Web Experimentation Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
190
User Interface
84
Easy Setup
68
Intuitive
47
Customer Support
41
Cons
Learning Curve
49
Expensive
29
Bugs
24
Slow Performance
20
Integration Issues
17
Optimizely Web Experimentation features and usability ratings that predict user satisfaction
7.9
Has the product been a good partner in doing business?
Average: 9.1
8.2
Reporting and Analytics
Average: 8.4
8.4
Multivariate testing capacities
Average: 8.5
6.4
AI/Machine Learning
Average: 7.5
Seller Details
Year Founded
1994
HQ Location
New York
Twitter
@Optimizely
29,328 Twitter followers
LinkedIn® Page
www.linkedin.com
1,521 employees on LinkedIn®
Entry Level Price:Contact Us
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Kameleoon enables brands to enhance their products and digital interactions, providing a unique optimization solution that combines Web Experimentation, Feature Experimentation, and AI-Driven Personal

    Users
    No information available
    Industries
    • Automotive
    • Insurance
    Market Segment
    • 54% Mid-Market
    • 27% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Kameleoon Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Customer Support
    24
    Ease of Use
    23
    A/B Testing
    20
    Easy Setup
    10
    Experimentation
    9
    Cons
    Developer Dependency
    9
    Difficult Learning
    7
    Difficulty of Use
    7
    Learning Curve
    7
    Missing Features
    7
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Kameleoon features and usability ratings that predict user satisfaction
    9.1
    Has the product been a good partner in doing business?
    Average: 9.1
    8.3
    Reporting and Analytics
    Average: 8.4
    8.6
    Multivariate testing capacities
    Average: 8.5
    7.3
    AI/Machine Learning
    Average: 7.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Kameleoon
    Company Website
    Year Founded
    2012
    HQ Location
    Paris
    Twitter
    @kameleoonrocks
    3,219 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    211 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Kameleoon enables brands to enhance their products and digital interactions, providing a unique optimization solution that combines Web Experimentation, Feature Experimentation, and AI-Driven Personal

Users
No information available
Industries
  • Automotive
  • Insurance
Market Segment
  • 54% Mid-Market
  • 27% Enterprise
Kameleoon Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Customer Support
24
Ease of Use
23
A/B Testing
20
Easy Setup
10
Experimentation
9
Cons
Developer Dependency
9
Difficult Learning
7
Difficulty of Use
7
Learning Curve
7
Missing Features
7
Kameleoon features and usability ratings that predict user satisfaction
9.1
Has the product been a good partner in doing business?
Average: 9.1
8.3
Reporting and Analytics
Average: 8.4
8.6
Multivariate testing capacities
Average: 8.5
7.3
AI/Machine Learning
Average: 7.5
Seller Details
Seller
Kameleoon
Company Website
Year Founded
2012
HQ Location
Paris
Twitter
@kameleoonrocks
3,219 Twitter followers
LinkedIn® Page
www.linkedin.com
211 employees on LinkedIn®
(505)4.5 out of 5
Optimized for quick response
10th Easiest To Use in A/B Testing software
View top Consulting Services for MoEngage
Save to My Lists
Entry Level Price:Free Upto 10,000 Month...
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    MoEngage is a cross-channel customer engagement platform built for marketers and product owners who value agility over cumbersome complexity. We help consumer brands adapt quickly to evolving customer

    Users
    • Product Manager
    • Digital Marketing Manager
    Industries
    • Financial Services
    • Online Media
    Market Segment
    • 55% Mid-Market
    • 24% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • MoEngage Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    80
    Features
    52
    Customer Support
    49
    Helpful
    48
    Analytics
    43
    Cons
    Missing Features
    33
    Learning Curve
    21
    Expensive
    16
    Limited Features
    15
    Improvements Needed
    14
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • MoEngage features and usability ratings that predict user satisfaction
    9.2
    Has the product been a good partner in doing business?
    Average: 9.1
    8.9
    Reporting and Analytics
    Average: 8.4
    8.6
    Multivariate testing capacities
    Average: 8.5
    8.4
    AI/Machine Learning
    Average: 7.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    MoEngage
    Company Website
    Year Founded
    2014
    HQ Location
    San Francisco, California
    Twitter
    @moengage
    2,491 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    845 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

MoEngage is a cross-channel customer engagement platform built for marketers and product owners who value agility over cumbersome complexity. We help consumer brands adapt quickly to evolving customer

Users
  • Product Manager
  • Digital Marketing Manager
Industries
  • Financial Services
  • Online Media
Market Segment
  • 55% Mid-Market
  • 24% Small-Business
MoEngage Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
80
Features
52
Customer Support
49
Helpful
48
Analytics
43
Cons
Missing Features
33
Learning Curve
21
Expensive
16
Limited Features
15
Improvements Needed
14
MoEngage features and usability ratings that predict user satisfaction
9.2
Has the product been a good partner in doing business?
Average: 9.1
8.9
Reporting and Analytics
Average: 8.4
8.6
Multivariate testing capacities
Average: 8.5
8.4
AI/Machine Learning
Average: 7.5
Seller Details
Seller
MoEngage
Company Website
Year Founded
2014
HQ Location
San Francisco, California
Twitter
@moengage
2,491 Twitter followers
LinkedIn® Page
www.linkedin.com
845 employees on LinkedIn®
(145)4.8 out of 5
1st Easiest To Use in A/B Testing software
Save to My Lists
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Statsig is a complete platform for product growth, with 4 major products: experimentation, feature flagging, product analytics, and session session replays. All of Statsig's products are powered b

    Users
    • Software Engineer
    • Product Manager
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 44% Mid-Market
    • 32% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Statsig Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    66
    Features
    65
    Experimentation
    54
    Analytics
    45
    Easy Setup
    42
    Cons
    Missing Features
    24
    Learning Curve
    21
    Steep Learning Curve
    18
    Lack of Guidance
    12
    Limited Features
    12
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Statsig features and usability ratings that predict user satisfaction
    9.6
    Has the product been a good partner in doing business?
    Average: 9.1
    8.8
    Reporting and Analytics
    Average: 8.4
    9.0
    Multivariate testing capacities
    Average: 8.5
    6.6
    AI/Machine Learning
    Average: 7.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Statsig
    Company Website
    Year Founded
    2021
    HQ Location
    Bellevue, US
    LinkedIn® Page
    www.linkedin.com
    97 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Statsig is a complete platform for product growth, with 4 major products: experimentation, feature flagging, product analytics, and session session replays. All of Statsig's products are powered b

Users
  • Software Engineer
  • Product Manager
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 44% Mid-Market
  • 32% Small-Business
Statsig Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
66
Features
65
Experimentation
54
Analytics
45
Easy Setup
42
Cons
Missing Features
24
Learning Curve
21
Steep Learning Curve
18
Lack of Guidance
12
Limited Features
12
Statsig features and usability ratings that predict user satisfaction
9.6
Has the product been a good partner in doing business?
Average: 9.1
8.8
Reporting and Analytics
Average: 8.4
9.0
Multivariate testing capacities
Average: 8.5
6.6
AI/Machine Learning
Average: 7.5
Seller Details
Seller
Statsig
Company Website
Year Founded
2021
HQ Location
Bellevue, US
LinkedIn® Page
www.linkedin.com
97 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Dynamic Yield, a Mastercard company, helps businesses across industries deliver digital customer experiences that are personalized, optimized, and synchronized. With Dynamic Yield, marketers, product

    Users
    • Product Manager
    Industries
    • Retail
    • Apparel & Fashion
    Market Segment
    • 56% Mid-Market
    • 29% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Dynamic Yield Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Customer Support
    25
    Ease of Use
    23
    Personalization
    20
    Experience
    17
    Helpful
    15
    Cons
    Limitations
    7
    Missing Features
    7
    Inadequate Reporting
    5
    Time-Consuming
    5
    Campaign Management
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Dynamic Yield features and usability ratings that predict user satisfaction
    9.1
    Has the product been a good partner in doing business?
    Average: 9.1
    8.0
    Reporting and Analytics
    Average: 8.4
    8.7
    Multivariate testing capacities
    Average: 8.5
    8.0
    AI/Machine Learning
    Average: 7.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1966
    HQ Location
    Purchase, NY
    Twitter
    @Mastercard
    484,871 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    39,582 employees on LinkedIn®
    Ownership
    NYSE - New York Stock Exchange
Product Description
How are these determined?Information
This description is provided by the seller.

Dynamic Yield, a Mastercard company, helps businesses across industries deliver digital customer experiences that are personalized, optimized, and synchronized. With Dynamic Yield, marketers, product

Users
  • Product Manager
Industries
  • Retail
  • Apparel & Fashion
Market Segment
  • 56% Mid-Market
  • 29% Enterprise
Dynamic Yield Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Customer Support
25
Ease of Use
23
Personalization
20
Experience
17
Helpful
15
Cons
Limitations
7
Missing Features
7
Inadequate Reporting
5
Time-Consuming
5
Campaign Management
4
Dynamic Yield features and usability ratings that predict user satisfaction
9.1
Has the product been a good partner in doing business?
Average: 9.1
8.0
Reporting and Analytics
Average: 8.4
8.7
Multivariate testing capacities
Average: 8.5
8.0
AI/Machine Learning
Average: 7.5
Seller Details
Year Founded
1966
HQ Location
Purchase, NY
Twitter
@Mastercard
484,871 Twitter followers
LinkedIn® Page
www.linkedin.com
39,582 employees on LinkedIn®
Ownership
NYSE - New York Stock Exchange
(746)4.5 out of 5
7th Easiest To Use in A/B Testing software
Save to My Lists
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    PostHog is the open-source, all-in-one platform that helps engineers build better products. We enable software teams to capture events, perform analytics, record user sessions, conduct experiments a

    Users
    • Software Engineer
    • CTO
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 79% Small-Business
    • 19% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • PostHog Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    240
    Easy Setup
    179
    Analytics
    141
    Insights
    128
    Session Recordings
    113
    Cons
    Learning Curve
    82
    Missing Features
    64
    Steep Learning Curve
    60
    Not Intuitive
    57
    Complexity
    48
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • PostHog features and usability ratings that predict user satisfaction
    8.9
    Has the product been a good partner in doing business?
    Average: 9.1
    8.5
    Reporting and Analytics
    Average: 8.4
    8.2
    Multivariate testing capacities
    Average: 8.5
    7.0
    AI/Machine Learning
    Average: 7.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    PostHog
    Company Website
    Year Founded
    2020
    HQ Location
    San Francisco, US
    Twitter
    @posthog
    13,425 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    60 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

PostHog is the open-source, all-in-one platform that helps engineers build better products. We enable software teams to capture events, perform analytics, record user sessions, conduct experiments a

Users
  • Software Engineer
  • CTO
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 79% Small-Business
  • 19% Mid-Market
PostHog Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
240
Easy Setup
179
Analytics
141
Insights
128
Session Recordings
113
Cons
Learning Curve
82
Missing Features
64
Steep Learning Curve
60
Not Intuitive
57
Complexity
48
PostHog features and usability ratings that predict user satisfaction
8.9
Has the product been a good partner in doing business?
Average: 9.1
8.5
Reporting and Analytics
Average: 8.4
8.2
Multivariate testing capacities
Average: 8.5
7.0
AI/Machine Learning
Average: 7.5
Seller Details
Seller
PostHog
Company Website
Year Founded
2020
HQ Location
San Francisco, US
Twitter
@posthog
13,425 Twitter followers
LinkedIn® Page
www.linkedin.com
60 employees on LinkedIn®
(407)4.5 out of 5
Optimized for quick response
View top Consulting Services for Algolia
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Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Algolia is the world’s only end-to-end AI search and discovery platform. Our engineers invented a breakthrough use of AI to create exponentially better search & discovery. Our proprietary NeuralSe

    Users
    • CTO
    • Software Engineer
    Industries
    • Computer Software
    • Retail
    Market Segment
    • 59% Small-Business
    • 28% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Algolia Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    48
    Search Efficiency
    26
    Speed
    20
    Easy Integrations
    18
    Efficiency
    18
    Cons
    Limitations
    15
    Expensive
    11
    Feature Deficiency
    11
    High Learning Curve
    10
    Improvement Needed
    10
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Algolia features and usability ratings that predict user satisfaction
    9.2
    Has the product been a good partner in doing business?
    Average: 9.1
    8.2
    Reporting and Analytics
    Average: 8.4
    8.0
    Multivariate testing capacities
    Average: 8.5
    7.4
    AI/Machine Learning
    Average: 7.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2012
    HQ Location
    San Francisco, CA
    Twitter
    @algolia
    25,609 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    818 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Algolia is the world’s only end-to-end AI search and discovery platform. Our engineers invented a breakthrough use of AI to create exponentially better search & discovery. Our proprietary NeuralSe

Users
  • CTO
  • Software Engineer
Industries
  • Computer Software
  • Retail
Market Segment
  • 59% Small-Business
  • 28% Mid-Market
Algolia Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
48
Search Efficiency
26
Speed
20
Easy Integrations
18
Efficiency
18
Cons
Limitations
15
Expensive
11
Feature Deficiency
11
High Learning Curve
10
Improvement Needed
10
Algolia features and usability ratings that predict user satisfaction
9.2
Has the product been a good partner in doing business?
Average: 9.1
8.2
Reporting and Analytics
Average: 8.4
8.0
Multivariate testing capacities
Average: 8.5
7.4
AI/Machine Learning
Average: 7.5
Seller Details
Company Website
Year Founded
2012
HQ Location
San Francisco, CA
Twitter
@algolia
25,609 Twitter followers
LinkedIn® Page
www.linkedin.com
818 employees on LinkedIn®
(75)4.1 out of 5
View top Consulting Services for Adobe Target
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Target makes it easy for you to create personalized digital experiences that deliver real results and revenue.

    Users
    No information available
    Industries
    • Information Technology and Services
    • Marketing and Advertising
    Market Segment
    • 57% Enterprise
    • 16% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Adobe Target Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Personalization
    6
    A/B Testing
    4
    Ease of Use
    4
    Experimentation
    4
    Targeting
    3
    Cons
    Learning Curve
    4
    Difficult Setup
    3
    Not Intuitive
    3
    Steep Learning Curve
    3
    Bug Issues
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Adobe Target features and usability ratings that predict user satisfaction
    8.1
    Has the product been a good partner in doing business?
    Average: 9.1
    7.4
    Reporting and Analytics
    Average: 8.4
    7.7
    Multivariate testing capacities
    Average: 8.5
    7.9
    AI/Machine Learning
    Average: 7.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Adobe
    Year Founded
    1982
    HQ Location
    San Jose, CA
    Twitter
    @Adobe
    975,649 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    42,285 employees on LinkedIn®
    Ownership
    NASDAQ:ADBE
Product Description
How are these determined?Information
This description is provided by the seller.

Target makes it easy for you to create personalized digital experiences that deliver real results and revenue.

Users
No information available
Industries
  • Information Technology and Services
  • Marketing and Advertising
Market Segment
  • 57% Enterprise
  • 16% Small-Business
Adobe Target Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Personalization
6
A/B Testing
4
Ease of Use
4
Experimentation
4
Targeting
3
Cons
Learning Curve
4
Difficult Setup
3
Not Intuitive
3
Steep Learning Curve
3
Bug Issues
2
Adobe Target features and usability ratings that predict user satisfaction
8.1
Has the product been a good partner in doing business?
Average: 9.1
7.4
Reporting and Analytics
Average: 8.4
7.7
Multivariate testing capacities
Average: 8.5
7.9
AI/Machine Learning
Average: 7.5
Seller Details
Seller
Adobe
Year Founded
1982
HQ Location
San Jose, CA
Twitter
@Adobe
975,649 Twitter followers
LinkedIn® Page
www.linkedin.com
42,285 employees on LinkedIn®
Ownership
NASDAQ:ADBE
(145)4.7 out of 5
12th Easiest To Use in A/B Testing software
Save to My Lists
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Split was recently acquired by Harness® to bring teams the most robust feature management and experimentation solution on the market. Set up feature flags and safely deploy to production, controllin

    Users
    • Software Engineer
    Industries
    • Computer Software
    • Financial Services
    Market Segment
    • 43% Mid-Market
    • 37% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Split by Harness Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    20
    Features
    18
    Feature Flags
    12
    Easy Setup
    11
    Useful
    7
    Cons
    Feature Flags Issues
    7
    Limitations
    5
    Missing Features
    4
    Not Intuitive
    4
    Poor Interface
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Split by Harness features and usability ratings that predict user satisfaction
    9.4
    Has the product been a good partner in doing business?
    Average: 9.1
    8.1
    Reporting and Analytics
    Average: 8.4
    8.8
    Multivariate testing capacities
    Average: 8.5
    6.6
    AI/Machine Learning
    Average: 7.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2015
    HQ Location
    Redwood City, California
    Twitter
    @SplitSoftware
    1,523 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    67 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Split was recently acquired by Harness® to bring teams the most robust feature management and experimentation solution on the market. Set up feature flags and safely deploy to production, controllin

Users
  • Software Engineer
Industries
  • Computer Software
  • Financial Services
Market Segment
  • 43% Mid-Market
  • 37% Enterprise
Split by Harness Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
20
Features
18
Feature Flags
12
Easy Setup
11
Useful
7
Cons
Feature Flags Issues
7
Limitations
5
Missing Features
4
Not Intuitive
4
Poor Interface
4
Split by Harness features and usability ratings that predict user satisfaction
9.4
Has the product been a good partner in doing business?
Average: 9.1
8.1
Reporting and Analytics
Average: 8.4
8.8
Multivariate testing capacities
Average: 8.5
6.6
AI/Machine Learning
Average: 7.5
Seller Details
Year Founded
2015
HQ Location
Redwood City, California
Twitter
@SplitSoftware
1,523 Twitter followers
LinkedIn® Page
www.linkedin.com
67 employees on LinkedIn®

Learn More About A/B Testing Tools

What are A/B Testing Tools?

A/B testing tools measure how customers interact with a brand’s digital creative content. Through conducting tests on customer interaction, companies can extract real data and metrics to optimize products.

A/B testing tools allow marketers, advertisers, and web developers to test different versions of digital content to find the customer-preferred digital experience and personalization for various personas. Website visitors subconsciously react to every element on a web page—such as the color and aggressiveness of a live chat pop-up, the phrasing of a call-to-action (CTA) button, or the positioning of the search bar. A/B testing solutions give web content creators the tools to deploy the tests, determine the target audience, and analyze the experiment results. These tools are used to improve conversion rate and bounce rates, as well as the overall success of a website.

The main way that digital creativity is tested is through a rotating A/B test. This is done by using two iterations of a design and seeing which one gets the highest click-through rate. A company can conduct a test with version A for 500 users from the target audience and then another test on version B for 500 users with a completely different variant. The company can then see which one gets the highest click-through rate and, ultimately, determine which variant should be used.

A/B testing can offer the following use cases to improve a company’s performance:

  • Create the most successful version of the e-commerce site, especially the home page and calls-to-action (CTA)
  • Increase website traffic and reduce bounce rates
  • Gain insight into user behavior
  • Analyze any and all test segments to discover key opportunities
  • Increase conversion rates and e-commerce profits
  • Tailor e-commerce content and goals through continuous testing
  • Determine the consumer impact of differing designs and formats on website optimization

What Types of A/B Testing Tools Exist?

Proprietary A/B testing

Proprietary solutions will require time and resources but will adapt to very specific case studies and customizations. Proprietary products also provide customer support and streamline the process of setting up, tracking, and analyzing tests.

Open-source A/B testing

Open-source solutions come with a very small price tag (if any at all). While open-source software doesn’t offer the same kinds of reports and finetuned features as proprietary solutions, it gives access to an entire community of programmers and developers with bountiful testing experience.

What are the Common Features of A/B Testing Tools?

A/B/n testing: This type of split testing takes A/B testing to the next level by analyzing multiple versions of a creative product, one variable at a time. This allows a company to determine the best variation across a multitude of tests that measure KPIs on several iterations. The analytics tools used for a simple A/B test will also measure the same KPIs for the multiple variations.

Multivariate testing: Multivariate testing uses the same methods as A/B testing, but instead of testing only two variables, it tests a higher number. This is essentially like having two tests combined into one. This is a way to conduct test combinations. For example, one multivariate test can test whether the combination of a blue header and white text works better than a red header with grey text. Then, it can test what happens when the combination is flipped—whether a blue header would work better with grey text or a red header would work better with white text. A successfully performed multivariate test would then show which combination had the highest click-through rate. The major benefit of multivariate testing is saving time and ensuring that the best combination with the highest conversion rate is being presented on the website.

Multipage funnel testing: Multipage funnel testing is a way to test variations of several consecutive website pages. This is a great way to see if customers are finding what they’re looking for in the quickest way possible. The use case of multipage funnel testing can be easily applicable to retail, e-commerce, and any other website where the company is selling a product. This can test how quickly a user went through the buyer funnel from initial interest all the way to the final goal of purchasing the product. A multipage funnel test can help test the most effective way to convert customer interest into a customer purchase.

Audience targeting: Audience targeting provides the ability to choose where the test will run and for whom. A/B test can be conducted to see which visitor conditions to show the experiment to and which specific URLs the experiment should run on the site. To increase engagement from mobile users who are using Google Chrome, audience targeting can conduct the A/B test on these specific users. This helps increase engagement with a particular audience.

Funnel analysis: Funnel analysis allows companies to analyze the data in the buyer's journey and make necessary changes to facilitate conversion rate optimization. A/B test with funnel analysis helps understand if things such as registration pages or website subscription options are driving more people to convert or if they’re turning customers away. This allows the tester to see if they need to make adjustments to certain stages to increase engagement.

Heat maps: Heat maps are a very effective tool for visualizing which links users click on when they visit a website. Heat maps applied to an A/B test will show certain links on a webpage in either blue, yellow, or red to indicate how often those links are clicked. This way, testers can analyze how to effectively set up a page and ensure that the most important links are in spots that are being clicked on the most.

Surveys: A valuable feature in A/B testing software is surveys. This enables companies to directly ask users which type of variant they prefer through a variety of different questions. The data from the survey can then be translated into graphs or charts, which makes it easier for the tester to visualize the results. This can help companies target which specific variants are working well and which variants are failing. It also may give companies more detail on where to head in order to improve their designs by asking questions that make users explain in detail rather than asking simple yes or no questions.

Statistical relevance analysis: Statistical relevance analysis helps confirm if an A/B test has a large enough sample size. Users can track their data in real time and see if the test needs more time or if there’s enough traffic to confirm that one variant performed better than another. This helps users stop the test and not use more time on it than needed. Achieving the right sample size ensures the statistical significance of test results is achieved during the testing process.

Test scheduling: A/B testing platforms allow users to schedule tests in advance to ensure that they are conducted during a time when the website is expected to get a lot of traffic.

What are the Benefits of A/B Testing Tools?

A/B testing software is an essential tool for optimization and growth. The best way to improve a product's performance is by continuously conducting new trials to see what works and what doesn't. The following are reasons why vendors benefit from using these tools.

Higher conversion rates: Companies can conduct a test to see what will produce the best conversion rate. Rotating A/B tests can give content creators an accurate representation of how quickly users can find what they’re looking for on a website. This can lead to customers purchasing more quickly or subscribing to newsletters more frequently, leading to greater conversions and higher revenue for the company.

Real-time testing: A/B testing can save companies plenty of time by testing variations in real time. Instead of having to pull people aside to conduct trials, rotating tests are conducted on users who are currently visiting the website.

Genuine testing: Another major benefit of A/B testing is genuine testing. Tests are conducted on actual visitors who are coming to the website, which means that the results are not skewed by incentives or preconceived knowledge within a trial. Since the testing is done on completely random visitors, the company will get the most accurate picture of how customers are behaving in real time.

Reduced bounce rate: One of the main goals of A/B testing tools is to test ways to keep people on a website for as long as possible. This can be done by incorporating different page layouts, links that lead back to the website, and CTA buttons. High bounce rates are the main reason for low conversion rates, so testing ways to reduce the bounce rate of a landing page is a critical way to keep customers engaged.

Who Uses A/B Testing Tools?

While A/B testing tools and personalization software generally integrate with systems that work on both the front end and back end of websites, the software isn’t just for technical website developers who specialize in coding. Users with varying skill sets can use the software to enhance their currently existing websites. Appropriately, A/B testing software vendors clearly advertise either their ease of use (embedding just one line of code) or the flexibility with which their tests can be conducted (conducting split-level experiments). Here are some ways various team members can use these tools to enhance performance:

Digital marketing teams: Digital marketing teams can utilize A/B testing software in a variety of ways. They can measure the efficacy of CTAs, headlines, images, and copy to see which variations will have higher click-through rates with users. In addition, they can measure the frequency of cart abandonment to test how likely a customer is to convert into a sale.

Design teams: Perfecting the design of a website is an ongoing process. Design teams can utilize A/B testing to optimize a website’s performance and quality of the user experience by making sure visitors are staying on for an ample amount of time. They can do this by testing how quickly people find what they’re looking for, where to place links on a page to get the most clicks, and other web layout adjustments in order to increase customer engagement. 

Research and development teams: Research teams that focus on optimizing website performance can use surveys within A/B testing tools to see which variants appeal to more users. They can ask about customer desires, demographics, and any other details that they can extract to improve their product and website.

Software Related to A/B Testing Tools

A/B testing can be supplemented with a wide variety of other software that also test for conversion rates and lead generation:

Email marketing software: Email marketing software includes A/B testing features, which can be used to test which of two email campaign options will be more successful. During this process, two variations of an email campaign are sent out to two different pools of recipients. Whichever pool has the higher click rate on the email campaign will indicate which one will be more successful. The results can indicate the open rate, click-through rate, and the number of subscribers that were influenced by the email campaign. This is a great tool to guarantee that the marketing campaign is effective and that it will generate more revenue and happier customers.

Web content management software: Web content management (WCM) systems allow users to create, edit, and publish digital content such as text, embedded audio and video files, and interactive graphics for websites. WCM tools offer an assortment of templated web pages, from which site administrators can browse and choose. Since the main goal of web content management is to maximize customer engagement, it is a great software to integrate with A/B testing. A/B tests can be conducted on certain web content and provide higher conversion rates.

Digital analytics software: Digital analytics software tracks website visitors and measures web traffic. Marketers, web developers, and analysts use digital analytics suites to report on the effectiveness and popularity of web experiences and to determine how visitors are finding and interacting with their sites. Digital analytics supplement A/B testing by showing companies which areas need improvement on their website. This can indicate what areas need help from a test to determine what will improve customer engagement.

Heatmap tools: Marketers and web developers use heat maps and in-page analytics to visualize where on a web page visitors click, hover, and scroll. Heat maps can be integrated with A/B testing software to effectively set up a page and ensure that the most important links are in spots that are being clicked on the most.

Challenges with A/B Testing Tools

Ensuring random testing: It is difficult to ensure that a test is truly random. For example, if a company wanted to conduct an A/B test on page traffic on any random day, it might be difficult to assess whether visitors were less likely to come on that day. If the weather was nice or it was too close to the holidays, people might be less likely to be on their computers, which can skew the test's results.

Testing too many variables: Product teams are constantly trying to reimagine product pages with new designs to increase sales. However, overtesting can be a problem, especially when users are more familiar with one design over another. This can lead product teams to be overfocused on certain website designs that will most likely not have an effect on the user. The best way to avoid this issue is to focus on major design changes, such as page layouts, rather than the font size of certain words.

Small sample sizes: Often, A/B tests are conducted on too small a sample. This means that there is not enough data to confidently say that a variation is more successful than another variation because not enough people were tested. The best way to avoid this issue is to conduct a test that is concluded when the test reaches 95% confidence. While this may take some time, it can ensure that it was conducted effectively.

How to Buy A/B Testing Tools and Software

Requirements Gathering (RFI/RFP) for A/B Testing Tools

When searching for the right A/B testing tool, it’s important to create a long list based on products that contain some of the most necessary features for an effective experiment. After the available pool has been segmented based on crucial features, one can then sort based on nice-to-haves, bells and whistles, and industry-specific software requirements.

Compare A/B Testing Software Products

Create a long list

In order to create a long list, buyers must ensure the products being considered meet these core criteria:

  • The software is compatible with one’s technology and computer programs
  • Cloud storage is available for experimental data
  • The software offers the scalability needed to perform experiments with a certain n-size
  • Cost aligns with budget


Create a short list

Once a long list based on core features is created, a short list should be further narrowed based on nice-to-haves and bells and whistles: 

  • What you see is what you get (WYSIWYG) editing
  • Little to no coding options for businesses that don’t have employees with a computer science background
  • Multivariate testing capacities should experiment with more than one variable need to be tested simultaneously
  • Mobile app testing capabilities if a business has mobile content

Conduct demos

Buyers must schedule calls with the vendors on the short list to ensure their product is the right fit. The most foolproof way to make the right decision is to actually test out the software. It is important to ask vendors about how their product addresses the business’ most pressing needs.

Selection of A/B Testing Tools

Choose a selection team

The selection team should include the CEO and other executives from finance, marketing, and IT. The CEO will be there to represent the whole company and its business objectives. Finance will be able to represent the company and IT will determine if the product fits well into existing tech stacks and company technology. Most importantly, representatives from marketing will be able to speak fluently on the goals of A/B testing and company needs with software, since the marketing team will be the end user for these tools.

Negotiation

A/B testing software vendors will be bringing their strongest team to seal the deal with a potential client. Therefore, it’s important to come to the negotiation process with questions on certain key features one needs. These include (but are not limited to) multivariate testing and WYSIWYG capabilities, how much coding experience is needed to use the interface, and AI or machine learning. Buyers must ask questions about the total costs and fees associated with purchasing, implementing, and using the product. In order to prevent surprises later, it is crucial to ensure the terms and conditions are read in full and discussed. 

Final decision

It could be useful to create a scoring template that measures the various features mentioned in the long and short list, as well as notes from calls between the client and vendor.