- Home
- ...
- A/B Testing Tools
- Amplitude Feature Experimentation
- PostHog
- Amplitude Feature Experimentation-vs-PostHog
Compare Amplitude Feature Experimentation and PostHog 
At a Glance
Market Segments
Small-Business (54.5% of reviews)
Small-Business (78.2% of reviews)
Entry-Level Pricing
No pricing available
Starting at $0.00 Per Month
Amplitude Feature Experimentation
Star Rating
(12)4.0 out of 5
Market Segments
Small-Business (54.5% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Amplitude Feature ExperimentationPostHog
Star Rating
(691)4.4 out of 5
Market Segments
Small-Business (78.2% of reviews)
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.
- Users report that PostHog excels in Click Tracking with a score of 9.0, allowing for detailed insights into user interactions, while Amplitude Feature Experimentation scores lower at 8.0 for Exit Tracking, indicating a potential gap in understanding user drop-off points.
- Reviewers mention that PostHog's Custom Event Tracking is highly rated at 8.9, providing flexibility in monitoring specific user actions, whereas Amplitude's similar feature scores slightly lower at 8.2, suggesting it may not be as robust for tailored tracking needs.
- G2 users highlight PostHog's superior Real-Time Reporting capabilities with a score of 8.6, which allows teams to make immediate data-driven decisions, compared to Amplitude's score of 7.9, indicating a slower reporting process.
- Users on G2 appreciate PostHog's Feature Testing functionality, scoring 8.8, which supports effective A/B testing, while Amplitude's score of 8.2 suggests it may not offer the same level of ease or effectiveness in testing features.
- Reviewers say that PostHog's Monitoring features are rated at 8.3, providing comprehensive oversight of experiments, while Amplitude's lower score of 7.5 indicates it may lack some of the necessary tools for effective monitoring.
- Users report that PostHog's User Identification capabilities are rated at 8.5, allowing for detailed demographic insights, whereas Amplitude's score of 7.6 suggests it may not provide as thorough user segmentation options.
Featured Products
Sponsored
Croct
(29)
Digital Analytics
Visit Website
Pricing
Entry-Level Pricing
Amplitude Feature Experimentation
No pricing availablePostHog
Product Analytics & Data Stack
Starting at $0.00
Per Month
Trends, funnels, path analysis + more, with event autocapture, pipelines, data warehouse, APIs all as standard.
- First 1 million events/mo free
- Funnel Analysis
- Graph Analysis
Free Trial
Amplitude Feature Experimentation
No trial information availablePostHog
Free Trial is available
Ratings
Meets Requirements
Not enough data
8.8
618
Ease of Use
Not enough data
8.4
628
Ease of Setup
Not enough data
8.9
401
Ease of Admin
Not enough data
8.6
306
Quality of Support
Not enough data
8.4
313
Has the product been a good partner in doing business?
Not enough data
8.8
221
Product Direction (% positive)
Not enough data
8.9
601
Features by Category
Metrics
Not enough data
8.9
268
Not enough data
8.7
261
Not enough data
8.4
258
Not enough data
8.9
265
Not enough data
8.7
257
Not enough data
8.4
247
Not enough data
8.3
234
Not enough data
8.4
237
Not enough data
8.4
245
Reporting
Not enough data
8.5
267
Not enough data
8.4
242
Not enough data
8.2
236
Not enough data
8.2
239
Not enough data
8.0
207
Not enough data
8.2
204
Not enough data
8.5
243
Other
Not enough data
8.6
244
Not enough data
8.0
199
Not enough data
7.9
198
Not enough data
7.8
189
Not enough data
7.4
166
Not enough data
7.4
160
Not enough data
7.7
166
Administration
Not enough data
8.6
215
Not enough data
8.0
184
Not enough data
8.7
235
Not enough data
8.4
223
User Identification
Not enough data
7.8
70
Not enough data
7.7
70
Not enough data
8.0
69
Tracking & Reporting
Not enough data
8.9
72
Not enough data
8.5
67
Not enough data
8.0
57
Not enough data
8.5
73
Not enough data
8.7
67
Not enough data
8.5
68
Metrics
Not enough data
8.7
67
Not enough data
8.0
62
Not enough data
8.4
70
Not enough data
8.0
63
Not enough data
8.3
64
User Behavior
Not enough data
9.0
243
Not enough data
Feature Not Available
Not enough data
8.7
229
Not enough data
8.0
190
A/B Testing
Not enough data
Feature Not Available
Not enough data
7.3
168
Not enough data
8.3
212
Not enough data
Feature Not Available
Visitor Information
Not enough data
8.5
239
Not enough data
7.9
210
Product Analytics
Not enough data
8.4
256
Not enough data
8.5
292
Not enough data
8.1
257
Not enough data
8.2
271
Not enough data
7.6
221
Not enough data
7.8
213
Not enough data
7.8
212
Not enough data
8.0
239
Segmentation
Not enough data
Not enough data
Not enough data
Not enough data
Targeting
Not enough data
Not enough data
Not enough data
Not enough data
Triggered Content
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Personalized Content
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
8.5
133
Not enough data
7.9
108
Not enough data
8.4
117
Functionality
Not enough data
7.6
104
Not enough data
8.7
129
Not enough data
8.3
119
Computing
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
7.9
79
Experimental Design
Not enough data
8.2
67
Not enough data
8.1
67
Not enough data
7.5
64
Analytics
Not enough data
8.5
78
Not enough data
7.9
75
Metrics
Not enough data
8.7
67
Not enough data
8.0
62
Not enough data
8.4
70
Not enough data
8.0
63
Not enough data
8.3
64
Variation Testing
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
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
Amplitude Feature Experimentation and PostHog are categorized as A/B Testing and Feature Management
Unique Categories
Amplitude Feature Experimentation is categorized as Personalization, Personalization Engines, and Mobile App Optimization
PostHog is categorized as Session Replay, Mobile App Analytics, Digital Analytics, and Product Analytics
Reviews
Reviewers' Company Size
Amplitude Feature Experimentation
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
PostHog
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
Computer Software
27.3%
Retail
9.1%
Real Estate
9.1%
Primary/Secondary Education
9.1%
Media Production
9.1%
Other
36.4%
Computer Software
32.4%
Information Technology and Services
15.0%
Financial Services
5.2%
Marketing and Advertising
2.9%
Automotive
2.8%
Other
41.7%
Most Helpful Reviews
Amplitude Feature Experimentation
Most Helpful Favorable Review
Riza H.
Verified User in Financial Services
No need to integrate it manually with analytics, since the Amplitude analytics data like events and cohorts are already automatically in sync with Experiment (this is extraordinary).
Most Helpful Critical Review
Tyler S.
Verified User in Primary/Secondary Education
Amplitude is just so hard to use. I feel like everyone talks about how amazing it is, but when I ask them to help me with my setup and explain how the calculations are actually working--they freeze up. I've had that experience multiple times. I guess maybe...
PostHog
Most Helpful Favorable Review
Verified User in Computer Software
Easy to use and good API to implement it with python or other stacks
Most Helpful Critical Review
Verified User in Computer Software
We were enthusiastic early adopters of the product over one year ago, and I can now safely say it has been one of the worst business decisions we have ever made. I utterly regret trusting such an unfinished product with our valuable data. We started when...
Riza H.
Verified User in Financial Services
No need to integrate it manually with analytics, since the Amplitude analytics data like events and cohorts are already automatically in sync with Experiment (this is extraordinary).
Verified User in Computer Software
Easy to use and good API to implement it with python or other stacks
Tyler S.
Verified User in Primary/Secondary Education
Amplitude is just so hard to use. I feel like everyone talks about how amazing it is, but when I ask them to help me with my setup and explain how the calculations are actually working--they freeze up. I've had that experience multiple times. I guess maybe...
Verified User in Computer Software
We were enthusiastic early adopters of the product over one year ago, and I can now safely say it has been one of the worst business decisions we have ever made. I utterly regret trusting such an unfinished product with our valuable data. We started when...
Alternatives
Discussions
Amplitude Feature Experimentation has no discussions with answers
What is PostHog used for?
1 comment
SC
Posthog is an analytics tool to track your product metrics like DAU, MAU, and custom events you can send from your system, and then you can analyze them on...Read more
PostHog has no more discussions with answers
Hunting for software insights?
With over 2.5 million reviews, we can provide the specific details that help you make an informed software buying decision for your business. Finding the right product is important, let us help.
or continue with
Gmail.com addresses not permitted. A business domain using Google is allowed.
By proceeding, you agree to our Terms of Use and Privacy Policy
