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Compare ABsmartly and Statsig 
At a Glance
Market Segments
Mid-Market (53.8% of reviews)
Mid-Market (45.3% of reviews)
Entry-Level Pricing
Starting at €60,000.00 Per Year
Starting at $0.00 Per Month
ABsmartly
Star Rating
(14)4.6 out of 5
Market Segments
Mid-Market (53.8% of reviews)
Pros & Cons
Entry-Level Pricing
Starting at €60,000.00 Per Year
Learn more about ABsmartlyStatsig
Star Rating
(345)4.7 out of 5
Market Segments
Mid-Market (45.3% of reviews)
Pros & Cons
Entry-Level Pricing
Starting at $0.00 Per Month
Free Trial is available
Browse all 4 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Statsig excels in overall user satisfaction, boasting a significantly higher G2 Score compared to ABsmartly. Users appreciate how Statsig makes experimentation easy to adopt and operate at scale, with a simple and intuitive experiment setup that lowers barriers to running tests quickly.
- According to verified reviews, Statsig has a much larger user base, with 343 total reviews compared to ABsmartly's 14. This suggests that Statsig's features and user experience are well-tested and validated by a broader audience, enhancing confidence in its reliability.
- Users say that Statsig provides a robust platform for A/B testing and feature management, with strong statistical rigor and minimal engineering overhead. In contrast, while ABsmartly is noted for its reliable engine and ease of use, it lacks the extensive feature set that Statsig offers, which may limit its effectiveness for more complex experimentation needs.
- Reviewers mention that Statsig's ease of use is a standout feature, with a score that reflects its intuitive design. Users highlight the ability to verify exposures easily, which is crucial for running successful experiments. ABsmartly, while also user-friendly, received slightly lower ratings in this area, indicating potential room for improvement.
- Users appreciate Statsig's strong support and product direction, with high ratings for quality of support and positive feedback on its ongoing development. In comparison, ABsmartly has received praise for its customer service and quick feature development, but it may not match the comprehensive support experience that Statsig users report.
- According to recent user feedback, Statsig's ability to handle complex features without requiring deep technical knowledge is a significant advantage. Users find that they can achieve actionable results without needing to understand all the underlying details, whereas ABsmartly, while effective, may require more technical insight to fully leverage its capabilities.
Pricing
Entry-Level Pricing
ABsmartly
ABsmartly platform
Starting at €60,000.00
Per Year
𝗡𝗼 𝗽𝗮𝗰𝗸𝗮𝗴𝗲𝘀 𝗼𝗿 𝘁𝗶𝗲𝗿𝘀 𝘁𝗼 𝗰𝗼𝗺𝗽𝗮𝗿𝗲; 𝗮𝗹𝗹 𝗳𝗲𝗮𝘁𝘂𝗿𝗲𝘀 𝗳𝗼𝗿 𝗲𝘃𝗲𝗿𝘆𝗼𝗻𝗲.
𝗨𝗻𝗹𝗶𝗺𝗶𝘁𝗲𝗱 𝘂𝘀𝗲𝗿𝘀, 𝘂𝗻𝗹𝗶𝗺𝗶𝘁𝗲𝗱 𝗲𝘅𝗽𝗲𝗿𝗶𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻.
With our flexible, events-based pricing model, clients have unlimited experiments, metrics and platform users, and they pay per event. We have 2 categories of billable events: Exposure events and Goal events. Our event-based plans start at €60,000/year for 50 Million events per month. We include onboarding, training and support in our pricing at no extra cost.
- Unlimited features flags
- Unlimited mobile and web experiments
- Unlimited Goals and Metrics
Statsig
Experimentation
Starting at $0.00
Per Month
The world's most advanced product experimentation platform
- A/B/n experimentation
- Cloud deployment
- Warehouse Native deployment
Free Trial
ABsmartly
No trial information availableStatsig
Free Trial is available
Ratings
Meets Requirements
9.3
10
9.1
323
Ease of Use
8.3
10
8.7
334
Ease of Setup
Not enough data
8.5
263
Ease of Admin
Not enough data
9.0
77
Quality of Support
9.7
10
9.2
266
Has the product been a good partner in doing business?
Not enough data
9.6
78
Product Direction (% positive)
10.0
9
9.4
330
Features by Category
User Behavior
Not enough data
9.0
10
Not enough data
8.7
9
Not enough data
8.0
9
A/B Testing
Not enough data
8.9
9
Not enough data
9.4
8
Not enough data
9.4
8
Not enough data
7.9
8
Visitor Information
Not enough data
8.5
10
Not enough data
8.1
8
Agentic AI - Session Replay
Not enough data
Not enough data
Product Analytics
Not enough data
8.4
104
Not enough data
8.6
106
Not enough data
8.3
104
Not enough data
8.3
102
Not enough data
7.4
100
Not enough data
7.6
98
Not enough data
7.3
98
Not enough data
7.8
100
Agentic AI - Product Analytics
Not enough data
7.3
42
Not enough data
7.3
42
Not enough data
7.4
43
Not enough data
7.5
41
Management
Not enough data
9.2
190
Not enough data
9.1
177
Not enough data
8.6
178
Functionality
Not enough data
8.9
179
Not enough data
9.4
188
Feature Not Available
8.7
168
Computing
Feature Not Available
6.9
197
Feature Not Available
6.8
189
Feature Not Available
7.6
210
Experimental Design
Feature Not Available
8.9
240
Not enough data
9.1
236
Not enough data
8.6
225
Analytics
Not enough data
8.8
248
Feature Not Available
6.7
205
Agentic AI - A/B Testing
Not enough data
7.6
75
Not enough data
7.9
76
Not enough data
7.3
74
Not enough data
7.2
76
Variation Testing
Not enough data
Not enough data
Feature Not Available
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Reporting
Not enough data
Not enough data
Not enough data
Not enough data
Personalization
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Administration
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
ABsmartly and Statsig are categorized as A/B Testing and Feature Management
Unique Categories
ABsmartly is categorized as Mobile App Optimization
Statsig is categorized as Product Analytics and Session Replay
Reviews
Reviewers' Company Size
ABsmartly
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Statsig
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Automotive
46.2%
Information Technology and Services
15.4%
Leisure, Travel & Tourism
7.7%
Insurance
7.7%
Financial Services
7.7%
Other
15.4%
Computer Software
27.2%
Information Technology and Services
16.6%
Financial Services
8.6%
Health, Wellness and Fitness
4.1%
Sports
3.0%
Other
40.5%
Alternatives
Discussions
What is A/B Smartly used for?
1 Comment
Official Response from ABsmartly
The ABsmartly platform supports a wide range of environments for experimentation and A/B testing. You can deploy experiments on web, email, app environments,...Read more
ABsmartly has no more discussions with answers
Statsig has no discussions with answers
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