Best A/B Testing Tools

Alanna Iwuh
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

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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168 Listings in A/B Testing Available
(823)4.3 out of 5
14th Easiest To Use in A/B Testing software
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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 thous

    Users
    • Product Manager
    • Digital Marketing Manager
    Industries
    • Computer Software
    • Marketing and Advertising
    Market Segment
    • 56% Mid-Market
    • 26% 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
    113
    Customer Support
    104
    A/B Testing
    91
    Testing Efficiency
    80
    Helpful
    61
    Cons
    Limitations
    44
    Missing Features
    34
    Limited Features
    32
    Learning Curve
    29
    Difficult Learning
    24
  • 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
    8.4
    Multivariate testing capacities
    Average: 8.4
    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
    7,443 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    563 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 thous

Users
  • Product Manager
  • Digital Marketing Manager
Industries
  • Computer Software
  • Marketing and Advertising
Market Segment
  • 56% Mid-Market
  • 26% 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
113
Customer Support
104
A/B Testing
91
Testing Efficiency
80
Helpful
61
Cons
Limitations
44
Missing Features
34
Limited Features
32
Learning Curve
29
Difficult Learning
24
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
8.4
Multivariate testing capacities
Average: 8.4
6.5
AI/Machine Learning
Average: 7.5
Seller Details
Company Website
Year Founded
2010
HQ Location
New Delhi
Twitter
@wingify
7,443 Twitter followers
LinkedIn® Page
www.linkedin.com
563 employees on LinkedIn®
(468)4.5 out of 5
Optimized for quick response
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.

    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
    • Digital Marketing Manager
    • 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
    187
    Customer Support
    146
    Helpful
    142
    Customer Engagement
    138
    Engagement
    131
    Cons
    Missing Features
    51
    Poor Customer Support
    42
    Slow Loading
    39
    Reporting Issues
    38
    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: 8.4
    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
    1,841 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,229 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
  • Digital Marketing Manager
  • 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
187
Customer Support
146
Helpful
142
Customer Engagement
138
Engagement
131
Cons
Missing Features
51
Poor Customer Support
42
Slow Loading
39
Reporting Issues
38
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: 8.4
8.1
AI/Machine Learning
Average: 7.5
Seller Details
Company Website
Year Founded
1998
HQ Location
Mumbai, Maharashtra
Twitter
@netcore_cloud
1,841 Twitter followers
LinkedIn® Page
www.linkedin.com
1,229 employees on LinkedIn®

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(671)4.6 out of 5
Optimized for quick response
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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 suite of products designed for ecommerce personalization and experience management, offering features such as search, merchandising, recommendations, content management, and customer engagement.
    • Reviewers frequently mention the platform's robust integration capabilities, AI-powered personalization, advanced marketing automation features, and high-quality customer support as standout features.
    • Reviewers noted that the initial integration process can be time-consuming, the platform has a high entry barrier due to its complexity, and there is a high dependency on technical knowledge for customization and advanced use cases.
  • 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
    109
    Customer Support
    99
    Features
    95
    Helpful
    91
    Customer Engagement
    59
    Cons
    Learning Curve
    75
    Limited Features
    56
    Missing Features
    55
    Learning Difficulty
    52
    Limitations
    39
  • 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: 8.4
    6.9
    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
    10,528 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,073 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 suite of products designed for ecommerce personalization and experience management, offering features such as search, merchandising, recommendations, content management, and customer engagement.
  • Reviewers frequently mention the platform's robust integration capabilities, AI-powered personalization, advanced marketing automation features, and high-quality customer support as standout features.
  • Reviewers noted that the initial integration process can be time-consuming, the platform has a high entry barrier due to its complexity, and there is a high dependency on technical knowledge for customization and advanced use cases.
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
109
Customer Support
99
Features
95
Helpful
91
Customer Engagement
59
Cons
Learning Curve
75
Limited Features
56
Missing Features
55
Learning Difficulty
52
Limitations
39
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: 8.4
6.9
AI/Machine Learning
Average: 7.5
Seller Details
Company Website
Year Founded
2009
HQ Location
Mountain View, CA
Twitter
@bloomreach_tm
10,528 Twitter followers
LinkedIn® Page
www.linkedin.com
1,073 employees on LinkedIn®
(283)4.5 out of 5
Optimized for quick response
8th 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
    56
    Customer Support
    51
    Experience
    27
    Testing Efficiency
    25
    A/B Testing
    23
    Cons
    Learning Curve
    10
    Limitations
    9
    Missing Features
    8
    Technical Issues
    8
    Testing Difficulties
    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: 8.4
    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
    12,030 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    359 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
56
Customer Support
51
Experience
27
Testing Efficiency
25
A/B Testing
23
Cons
Learning Curve
10
Limitations
9
Missing Features
8
Technical Issues
8
Testing Difficulties
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: 8.4
6.2
AI/Machine Learning
Average: 7.5
Seller Details
Seller
AB Tasty
Company Website
Year Founded
2009
HQ Location
PARIS, France
Twitter
@ABTasty
12,030 Twitter followers
LinkedIn® Page
www.linkedin.com
359 employees on LinkedIn®
(502)4.5 out of 5
Optimized for quick response
6th 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
    245
    Feature Flags
    232
    Features
    108
    Easy Setup
    79
    Integrations
    70
    Cons
    Feature Flags Issues
    76
    Feature Flags Management
    63
    Poor UI
    49
    Complex Features
    48
    Confusing Interface
    45
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • LaunchDarkly features and usability ratings that predict user satisfaction
    8.9
    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: 8.4
    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
    5,441 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    520 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
245
Feature Flags
232
Features
108
Easy Setup
79
Integrations
70
Cons
Feature Flags Issues
76
Feature Flags Management
63
Poor UI
49
Complex Features
48
Confusing Interface
45
LaunchDarkly features and usability ratings that predict user satisfaction
8.9
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: 8.4
6.1
AI/Machine Learning
Average: 7.5
Seller Details
Company Website
Year Founded
2014
HQ Location
Oakland, CA
Twitter
@LaunchDarkly
5,441 Twitter followers
LinkedIn® Page
www.linkedin.com
520 employees on LinkedIn®
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: 8.4
    9.5
    AI/Machine Learning
    Average: 7.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2004
    HQ Location
    Dubai
    LinkedIn® Page
    www.linkedin.com
    35 employees on LinkedIn®
    Ownership
    AppMetrica
    Total Revenue (USD mm)
    $218,344
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: 8.4
9.5
AI/Machine Learning
Average: 7.5
Seller Details
Year Founded
2004
HQ Location
Dubai
LinkedIn® Page
www.linkedin.com
35 employees on LinkedIn®
Ownership
AppMetrica
Total Revenue (USD mm)
$218,344
(182)4.8 out of 5
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.

    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
    • 45% Mid-Market
    • 30% 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
    68
    Features
    67
    Experimentation
    59
    Analytics
    47
    Easy Setup
    47
    Cons
    Missing Features
    26
    Learning Curve
    23
    Steep Learning Curve
    20
    Complex Features
    12
    Lack of Guidance
    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
    8.7
    Reporting and Analytics
    Average: 8.4
    8.8
    Multivariate testing capacities
    Average: 8.4
    6.7
    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
    113 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
  • 45% Mid-Market
  • 30% 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
68
Features
67
Experimentation
59
Analytics
47
Easy Setup
47
Cons
Missing Features
26
Learning Curve
23
Steep Learning Curve
20
Complex Features
12
Lack of Guidance
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
8.7
Reporting and Analytics
Average: 8.4
8.8
Multivariate testing capacities
Average: 8.4
6.7
AI/Machine Learning
Average: 7.5
Seller Details
Seller
Statsig
Company Website
Year Founded
2021
HQ Location
Bellevue, US
LinkedIn® Page
www.linkedin.com
113 employees on LinkedIn®
(507)4.5 out of 5
Optimized for quick response
10th Easiest To Use in A/B Testing software
View top Consulting Services for MoEngage
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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
    • Digital Marketing Manager
    • Product 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
    79
    Features
    51
    Customer Support
    49
    Helpful
    48
    Analytics
    43
    Cons
    Missing Features
    32
    Learning Curve
    20
    Expensive
    16
    Improvements Needed
    15
    Limited Features
    15
  • 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: 8.4
    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
    2,503 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    847 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
  • Digital Marketing Manager
  • Product 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
79
Features
51
Customer Support
49
Helpful
48
Analytics
43
Cons
Missing Features
32
Learning Curve
20
Expensive
16
Improvements Needed
15
Limited Features
15
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: 8.4
8.4
AI/Machine Learning
Average: 7.5
Seller Details
Seller
MoEngage
Company Website
Year Founded
2014
HQ Location
San Francisco, California
Twitter
@moengage
2,503 Twitter followers
LinkedIn® Page
www.linkedin.com
847 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
    19
    Easy Setup
    10
    Experimentation
    8
    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: 8.4
    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
    3,194 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    216 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
19
Easy Setup
10
Experimentation
8
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: 8.4
7.3
AI/Machine Learning
Average: 7.5
Seller Details
Seller
Kameleoon
Company Website
Year Founded
2012
HQ Location
Paris
Twitter
@kameleoonrocks
3,194 Twitter followers
LinkedIn® Page
www.linkedin.com
216 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
    20
    Ease of Use
    17
    Personalization
    15
    Experience
    13
    Helpful
    12
    Cons
    Limitations
    6
    Missing Features
    6
    Inadequate Reporting
    4
    Slow Performance
    4
    Time-Consuming
    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: 8.4
    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
    483,454 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    41,462 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
20
Ease of Use
17
Personalization
15
Experience
13
Helpful
12
Cons
Limitations
6
Missing Features
6
Inadequate Reporting
4
Slow Performance
4
Time-Consuming
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: 8.4
8.0
AI/Machine Learning
Average: 7.5
Seller Details
Year Founded
1966
HQ Location
Purchase, NY
Twitter
@Mastercard
483,454 Twitter followers
LinkedIn® Page
www.linkedin.com
41,462 employees on LinkedIn®
Ownership
NYSE - New York Stock Exchange
(407)4.2 out of 5
View top Consulting Services for Optimizely Web Experimentation
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  • 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
    188
    User Interface
    80
    Easy Setup
    69
    Intuitive
    45
    Customer Support
    42
    Cons
    Learning Curve
    54
    Expensive
    30
    Bugs
    24
    Slow Performance
    20
    Poor Support
    18
  • 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: 8.4
    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
    29,198 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,548 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
188
User Interface
80
Easy Setup
69
Intuitive
45
Customer Support
42
Cons
Learning Curve
54
Expensive
30
Bugs
24
Slow Performance
20
Poor Support
18
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: 8.4
6.4
AI/Machine Learning
Average: 7.5
Seller Details
Year Founded
1994
HQ Location
New York
Twitter
@Optimizely
29,198 Twitter followers
LinkedIn® Page
www.linkedin.com
1,548 employees on LinkedIn®
(783)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
    • 80% Small-Business
    • 18% 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
    227
    Easy Setup
    185
    Analytics
    146
    Insights
    132
    Session Recordings
    115
    Cons
    Learning Curve
    85
    Steep Learning Curve
    67
    Missing Features
    64
    Not Intuitive
    57
    Limited Features
    46
  • 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
    8.6
    Reporting and Analytics
    Average: 8.4
    8.3
    Multivariate testing capacities
    Average: 8.4
    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
    13,846 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    85 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
  • 80% Small-Business
  • 18% 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
227
Easy Setup
185
Analytics
146
Insights
132
Session Recordings
115
Cons
Learning Curve
85
Steep Learning Curve
67
Missing Features
64
Not Intuitive
57
Limited Features
46
PostHog features and usability ratings that predict user satisfaction
8.9
Has the product been a good partner in doing business?
Average: 9.1
8.6
Reporting and Analytics
Average: 8.4
8.3
Multivariate testing capacities
Average: 8.4
7.0
AI/Machine Learning
Average: 7.5
Seller Details
Seller
PostHog
Company Website
Year Founded
2020
HQ Location
San Francisco, US
Twitter
@posthog
13,846 Twitter followers
LinkedIn® Page
www.linkedin.com
85 employees on LinkedIn®
(277)4.6 out of 5
Optimized for quick response
15th Easiest To Use in A/B Testing software
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Simplify your developer experience with the world's first AI-augmented software delivery platform. Upgrade your software delivery with Harness' innovative CI/CD, Feature Flags, Infrastructure as Co

    Users
    • DevOps Engineer
    Industries
    • Computer Software
    • Financial Services
    Market Segment
    • 40% Enterprise
    • 39% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Harness 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
    97
    Features
    64
    Feature Flags
    40
    Easy Setup
    34
    User Interface
    27
    Cons
    Limitations
    17
    Learning Curve
    15
    Limited Features
    15
    Missing Features
    15
    Poor UI
    14
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Harness Platform features and usability ratings that predict user satisfaction
    9.2
    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: 8.4
    6.6
    AI/Machine Learning
    Average: 7.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Harness
    Company Website
    Year Founded
    2018
    HQ Location
    San Francisco
    Twitter
    @HarnessWealth
    1,442 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,404 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Simplify your developer experience with the world's first AI-augmented software delivery platform. Upgrade your software delivery with Harness' innovative CI/CD, Feature Flags, Infrastructure as Co

Users
  • DevOps Engineer
Industries
  • Computer Software
  • Financial Services
Market Segment
  • 40% Enterprise
  • 39% Mid-Market
Harness 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
97
Features
64
Feature Flags
40
Easy Setup
34
User Interface
27
Cons
Limitations
17
Learning Curve
15
Limited Features
15
Missing Features
15
Poor UI
14
Harness Platform features and usability ratings that predict user satisfaction
9.2
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: 8.4
6.6
AI/Machine Learning
Average: 7.5
Seller Details
Seller
Harness
Company Website
Year Founded
2018
HQ Location
San Francisco
Twitter
@HarnessWealth
1,442 Twitter followers
LinkedIn® Page
www.linkedin.com
1,404 employees on LinkedIn®
(251)4.8 out of 5
4th Easiest To Use in A/B Testing software
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    NotifyVisitors is an AI powered marketing automation and CDP solution. It provides an omnichannel experience that helps you reach your desired audience through email, SMS, push, popups, and much more.

    Users
    • Search Engine Optimization Executive
    • Search Engine Optimization Specialist
    Industries
    • Marketing and Advertising
    • Computer Software
    Market Segment
    • 69% Small-Business
    • 28% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • NotifyVisitors 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
    Helpful
    114
    Ease of Use
    113
    Automation
    102
    Customer Support
    92
    Customer Engagement
    89
    Cons
    Expensive
    43
    Learning Curve
    43
    Missing Features
    40
    Limited Customization
    33
    Complex Features
    28
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • NotifyVisitors features and usability ratings that predict user satisfaction
    9.6
    Has the product been a good partner in doing business?
    Average: 9.1
    9.5
    Reporting and Analytics
    Average: 8.4
    9.2
    Multivariate testing capacities
    Average: 8.4
    9.6
    AI/Machine Learning
    Average: 7.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2011
    HQ Location
    Delhi, IN
    Twitter
    @notifyvisitors
    860 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    62 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

NotifyVisitors is an AI powered marketing automation and CDP solution. It provides an omnichannel experience that helps you reach your desired audience through email, SMS, push, popups, and much more.

Users
  • Search Engine Optimization Executive
  • Search Engine Optimization Specialist
Industries
  • Marketing and Advertising
  • Computer Software
Market Segment
  • 69% Small-Business
  • 28% Mid-Market
NotifyVisitors 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
Helpful
114
Ease of Use
113
Automation
102
Customer Support
92
Customer Engagement
89
Cons
Expensive
43
Learning Curve
43
Missing Features
40
Limited Customization
33
Complex Features
28
NotifyVisitors features and usability ratings that predict user satisfaction
9.6
Has the product been a good partner in doing business?
Average: 9.1
9.5
Reporting and Analytics
Average: 8.4
9.2
Multivariate testing capacities
Average: 8.4
9.6
AI/Machine Learning
Average: 7.5
Seller Details
Year Founded
2011
HQ Location
Delhi, IN
Twitter
@notifyvisitors
860 Twitter followers
LinkedIn® Page
www.linkedin.com
62 employees on LinkedIn®
(831)4.4 out of 5
View top Consulting Services for Webflow
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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.

    Webflow is a Website Experience Platform that empowers modern marketing teams to visually build, manage, and optimize stunning websites that offer both the consumer experience teams expect and the ent

    Users
    • Web Developer
    • Web Designer
    Industries
    • Design
    • Marketing and Advertising
    Market Segment
    • 70% Small-Business
    • 22% Mid-Market
    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.
    • Webflow is a platform that allows users to build custom websites without traditional coding methods, offering flexibility in adding custom code and a wide range of editing capabilities and design options.
    • Reviewers frequently mention the ease of use, the ability to create a global template for various national webpages, and the platform's ability to speed up the website building process.
    • Users reported issues with the platform consuming a lot of CPU, frequent updates and movement of common editing tools, and a steep learning curve for first-time users.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Webflow 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
    212
    Design Flexibility
    127
    Intuitive
    127
    Features
    126
    Flexibility
    111
    Cons
    Learning Curve
    73
    Missing Features
    68
    Expensive
    65
    Limited Features
    57
    Pricing Issues
    57
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Webflow features and usability ratings that predict user satisfaction
    8.9
    Has the product been a good partner in doing business?
    Average: 9.1
    7.3
    Reporting and Analytics
    Average: 8.4
    8.4
    Multivariate testing capacities
    Average: 8.4
    6.9
    AI/Machine Learning
    Average: 7.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Webflow
    Company Website
    Year Founded
    2012
    HQ Location
    San Francisco, California
    Twitter
    @webflowapp
    1 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,294 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Webflow is a Website Experience Platform that empowers modern marketing teams to visually build, manage, and optimize stunning websites that offer both the consumer experience teams expect and the ent

Users
  • Web Developer
  • Web Designer
Industries
  • Design
  • Marketing and Advertising
Market Segment
  • 70% Small-Business
  • 22% Mid-Market
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.
  • Webflow is a platform that allows users to build custom websites without traditional coding methods, offering flexibility in adding custom code and a wide range of editing capabilities and design options.
  • Reviewers frequently mention the ease of use, the ability to create a global template for various national webpages, and the platform's ability to speed up the website building process.
  • Users reported issues with the platform consuming a lot of CPU, frequent updates and movement of common editing tools, and a steep learning curve for first-time users.
Webflow 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
212
Design Flexibility
127
Intuitive
127
Features
126
Flexibility
111
Cons
Learning Curve
73
Missing Features
68
Expensive
65
Limited Features
57
Pricing Issues
57
Webflow features and usability ratings that predict user satisfaction
8.9
Has the product been a good partner in doing business?
Average: 9.1
7.3
Reporting and Analytics
Average: 8.4
8.4
Multivariate testing capacities
Average: 8.4
6.9
AI/Machine Learning
Average: 7.5
Seller Details
Seller
Webflow
Company Website
Year Founded
2012
HQ Location
San Francisco, California
Twitter
@webflowapp
1 Twitter followers
LinkedIn® Page
www.linkedin.com
1,294 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.