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At a Glance
Market Segments
Mid-Market (50.9% of reviews)
Small-Business (80.9% of reviews)
Entry-Level Pricing
No pricing available
Starting at $0.00 Per Month
Optimizely Feature Experimentation
Star Rating
(116)4.3 out of 5
Market Segments
Mid-Market (50.9% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Optimizely 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 Optimizely Feature Experimentation scores lower at 8.0 in Exit Tracking, indicating a potential gap in understanding user drop-off points.
- Reviewers mention that PostHog's Custom Event Tracking feature is highly rated at 8.9, providing flexibility in tracking specific user actions, whereas Optimizely's similar feature scores 8.2, suggesting it may not offer the same level of customization.
- G2 users highlight PostHog's superior Ease of Setup with a score of 8.9, making it more accessible for small businesses, compared to Optimizely's 7.2, which may pose challenges for users looking for a quick implementation.
- Users on G2 report that PostHog's Real-Time Reporting feature, rated at 8.6, allows for immediate insights into user behavior, while Optimizely's reporting capabilities, scoring 7.0, may lag in providing timely data for decision-making.
- Reviewers mention that PostHog's Product Direction is viewed positively at 8.9, indicating a strong roadmap and user-focused development, while Optimizely's score of 7.9 suggests some users may have concerns about its future direction.
- Users say that PostHog's Multi-Environment Control feature, rated at 7.5, is less robust compared to Optimizely's 8.3, which allows for better management of experiments across different environments, making it a more suitable choice for larger teams.
Pricing
Entry-Level Pricing
Optimizely 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
Optimizely Feature Experimentation
Free Trial is available
PostHog
Free Trial is available
Ratings
Meets Requirements
8.1
79
8.9
875
Ease of Use
8.1
85
8.3
888
Ease of Setup
7.0
40
8.9
657
Ease of Admin
7.9
26
8.6
446
Quality of Support
8.1
67
8.5
454
Has the product been a good partner in doing business?
8.7
26
8.9
338
Product Direction (% positive)
7.9
71
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
Management
8.6
37
8.6
180
8.5
37
8.0
155
7.6
36
8.5
161
Functionality
8.6
37
7.7
147
8.8
38
8.8
173
7.6
37
8.3
165
Computing
Feature Not Available
Feature Not Available
6.5
27
Feature Not Available
7.6
29
7.7
113
Experimental Design
7.7
30
8.2
100
7.7
29
8.0
97
8.0
29
7.5
94
Analytics
7.1
29
8.6
114
Feature Not Available
8.0
110
Agentic AI - A/B Testing
Not enough data
7.2
9
Not enough data
7.2
10
Not enough data
6.8
10
Not enough data
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
8.2
18
Not enough data
Feature Not Available
Not enough data
8.5
18
Not enough data
7.4
18
Not enough data
8.5
17
Not enough data
7.4
18
Not enough data
Reporting
7.3
16
Not enough data
7.9
17
Not enough data
Personalization
7.6
17
Not enough data
7.6
17
Not enough data
7.9
16
Not enough data
Administration
7.5
17
Not enough data
7.6
16
Not enough data
8.5
16
Not enough data
7.4
16
Not enough data
Categories
Categories
Shared Categories
Optimizely Feature Experimentation and PostHog are categorized as Feature Management and A/B Testing
Unique Categories
Optimizely Feature Experimentation is categorized as Mobile App Optimization and Personalization
PostHog is categorized as Session Replay, Mobile App Analytics, Digital Analytics, and Product Analytics
Reviews
Reviewers' Company Size
Optimizely 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
Financial Services
16.4%
Computer Software
10.3%
Retail
6.0%
Information Technology and Services
6.0%
Real Estate
5.2%
Other
56.0%
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%
Discussions
Is optimizely open source?
1 Comment
MM
No. It is not.Read more
Optimizely Feature Experimentation has no more 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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