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At a Glance
Market Segments
Mid-Market (50.0% of reviews)
Small-Business (80.9% of reviews)
Entry-Level Pricing
No pricing available
Starting at $0.00 Per Month
Amplitude Feature Experimentation
Star Rating
(23)4.0 out of 5
Market Segments
Mid-Market (50.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Amplitude Feature ExperimentationPostHog
Star Rating
(988)4.5 out of 5
Market Segments
Small-Business (80.9% 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.
- 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 tracking specific user actions, whereas Amplitude's score of 8.2 for Conversions suggests it may not offer the same level of customization for tracking user goals.
- 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 lower score of 7.9 for Mobile Reporting, indicating a less robust mobile analytics experience.
- Users on G2 report that PostHog's Feature Testing capabilities shine with a score of 8.8, enabling effective experimentation, while Amplitude's score of 8.2 for Concurrent Testing suggests it may not support as many simultaneous tests, potentially limiting experimentation strategies.
- Reviewers mention that PostHog's Monitoring features are rated at 8.3, providing comprehensive oversight of feature performance, while Amplitude's lower score of 7.5 for Multi-Environment Control indicates it may struggle with managing features across different environments.
- Users say that PostHog's User Identification features are rated at 8.5, allowing for effective segmentation and targeting, whereas Amplitude's score of 7.6 for User Segmentation suggests it may not provide the same depth in understanding user demographics.
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
8.2
13
8.9
875
Ease of Use
7.1
14
8.3
888
Ease of Setup
7.1
8
8.9
657
Ease of Admin
Not enough data
8.6
446
Quality of Support
7.4
11
8.5
454
Has the product been a good partner in doing business?
Not enough data
8.9
338
Product Direction (% positive)
7.5
14
9.0
855
Features by Category
Metrics
Not enough data
8.9
374
Not enough data
8.6
366
Not enough data
8.5
363
Not enough data
8.9
369
Not enough data
8.7
359
Not enough data
8.3
347
Not enough data
8.2
333
Not enough data
8.3
334
Not enough data
8.3
343
Reporting
Not enough data
8.5
368
Not enough data
8.3
340
Not enough data
8.2
332
Not enough data
8.1
336
Not enough data
7.8
301
Not enough data
8.0
298
Not enough data
8.4
337
Other
Not enough data
8.5
336
Not enough data
7.9
290
Not enough data
7.9
288
Not enough data
7.8
275
Not enough data
7.3
251
Not enough data
7.2
243
Not enough data
7.6
249
Agentic AI - Digital Analytics
Not enough data
6.9
29
Not enough data
7.2
29
Not enough data
7.0
29
Not enough data
7.0
29
Administration
Not enough data
8.5
297
Not enough data
7.9
263
Not enough data
8.6
316
Not enough data
8.4
307
User Identification
Not enough data
7.7
108
Not enough data
7.7
106
Not enough data
8.1
104
Tracking & Reporting
Not enough data
8.8
109
Not enough data
8.4
104
Not enough data
7.9
94
Not enough data
8.3
112
Not enough data
8.4
103
Not enough data
8.4
105
Metrics
Not enough data
8.5
107
Not enough data
7.9
100
Not enough data
8.1
107
Not enough data
7.8
100
Not enough data
8.1
102
User Behavior
Not enough data
9.0
393
Not enough data
8.7
377
Not enough data
7.9
332
A/B Testing
Not enough data
Feature Not Available
Not enough data
7.2
287
Not enough data
8.0
334
Not enough data
Feature Not Available
Visitor Information
Not enough data
8.4
380
Not enough data
7.8
342
Agentic AI - Session Replay
Not enough data
6.5
65
Product Analytics
Not enough data
8.3
428
Not enough data
8.5
466
Not enough data
8.0
423
Not enough data
8.1
437
Not enough data
7.6
381
Not enough data
7.8
365
Not enough data
7.6
364
Not enough data
7.9
396
Agentic AI - Product Analytics
Not enough data
6.6
93
Not enough data
6.8
93
Not enough data
6.6
92
Not enough data
6.6
93
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
Feature Not Available
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
Feature Not Available
Not enough data
Agentic AI - Personalization Engines
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
Management
8.6
7
8.6
180
9.0
7
8.0
155
8.8
7
8.5
161
Functionality
8.6
7
7.7
147
9.5
7
8.8
173
9.5
7
8.3
165
Computing
8.0
10
Feature Not Available
6.1
12
Feature Not Available
7.9
11
7.7
113
Experimental Design
8.3
11
8.2
100
9.1
11
8.0
97
8.5
10
7.5
94
Analytics
8.5
12
8.6
114
6.5
9
8.0
110
Agentic AI - A/B Testing
6.7
5
7.2
9
7.7
5
7.2
10
7.0
5
6.8
10
7.0
5
6.9
9
Agentic AI - Personalization
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
Metrics
Not enough data
8.5
107
Not enough data
7.9
100
Not enough data
8.1
107
Not enough data
7.8
100
Not enough data
8.1
102
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
31.8%
Information Technology and Services
9.1%
Hospital & Health Care
9.1%
Retail
4.5%
Real Estate
4.5%
Other
40.9%
Computer Software
32.9%
Information Technology and Services
14.9%
Financial Services
5.5%
Health, Wellness and Fitness
3.0%
Marketing and Advertising
2.6%
Other
41.1%
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
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