Compare Appcues and Optimizely Web Experimentation 
Featured Products
At a Glance
Market Segments
Mid-Market (58.1% of reviews)
Mid-Market (47.8% of reviews)
Entry-Level Pricing
Free Trial
Contact Vendor
Appcues
Star Rating
(342)4.6 out of 5
Market Segments
Mid-Market (58.1% of reviews)
Pros & Cons
Entry-Level Pricing
Free Trial
Free Trial is available
Learn more about AppcuesOptimizely Web Experimentation
Star Rating
(410)4.2 out of 5
Market Segments
Mid-Market (47.8% of reviews)
Pros & Cons
Entry-Level Pricing
Contact Vendor
Learn more about Optimizely Web ExperimentationSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Optimizely Web Experimentation excels in providing a user-friendly experience, particularly for non-technical users. Many users appreciate its straightforward setup process, allowing them to quickly implement experiments without extensive technical knowledge.
- Users say that Appcues stands out for its intuitive build interface, which simplifies the creation of onboarding flows and surveys. Reviewers highlight how this ease of use enhances their ability to onboard new users efficiently, making it a powerful tool for product and marketing needs.
- According to verified reviews, Appcues receives high praise for its exceptional customer support. Users frequently mention that the support team is responsive and proactive, addressing issues effectively and incorporating user feedback into product improvements.
- Reviewers mention that while Optimizely Web Experimentation offers flexibility in testing new ideas, some users feel it could improve in terms of meeting specific workflow requirements. This feedback suggests that while the platform is robust, there may be challenges in customization for certain users.
- G2 reviewers highlight that Appcues has a slight edge in overall satisfaction ratings, reflecting its strong market presence and user loyalty. This is supported by a higher star rating, indicating that users feel more positively about their experiences with Appcues compared to Optimizely Web Experimentation.
- Users report that Optimizely Web Experimentation is particularly beneficial for developers, as it allows for quick implementation of experiments directly in code. This capability is appreciated by those looking to see immediate impacts without lengthy deployment cycles, showcasing its value in agile environments.
Pricing
Entry-Level Pricing
Appcues
Start Free
Free Trial
Full-featured, 14-day free trial of Appcues. No credit card required.
- Boost activation with tailored onboarding
- Improve conversion by reducing time to value
- Create stickiness with feature adoption
Optimizely Web Experimentation
Enterprise
Contact Vendor
Customized For Your Business.
Free Trial
Appcues
Free Trial is available
Optimizely Web Experimentation
No trial information availableRatings
Meets Requirements
8.6
286
8.4
296
Ease of Use
8.6
289
8.1
309
Ease of Setup
8.3
164
8.0
155
Ease of Admin
8.7
149
8.2
124
Quality of Support
9.1
271
8.0
252
Has the product been a good partner in doing business?
9.2
147
7.9
119
Product Direction (% positive)
9.0
268
7.8
271
Features by Category
Visitor Behavior
Not enough data
7.8
24
|
Verified
Not enough data
8.5
26
|
Verified
Not enough data
7.6
22
|
Verified
Templates
Not enough data
7.8
24
|
Verified
Not enough data
8.3
23
|
Verified
Not enough data
8.4
24
|
Verified
Personalization
Not enough data
7.6
23
|
Verified
Not enough data
7.7
26
|
Verified
Not enough data
7.9
21
|
Verified
Not enough data
Feature Not Available
Not enough data
7.5
20
|
Verified
Not enough data
7.0
19
|
Verified
Not enough data
9.0
24
|
Verified
Not enough data
8.6
22
|
Verified
Multichannel
Not enough data
8.5
26
|
Verified
Not enough data
6.9
20
|
Verified
Not enough data
8.9
25
|
Verified
Administration
Not enough data
8.0
22
|
Verified
Not enough data
8.5
22
|
Verified
Not enough data
8.2
22
|
Verified
Not enough data
8.1
23
|
Verified
Agentic AI - E-Commerce Personalization
Not enough data
Not enough data
Not enough data
Not enough data
User Analysis
8.5
153
Not enough data
7.5
177
Not enough data
User Support
8.5
180
Not enough data
7.0
102
Not enough data
8.1
147
Not enough data
Walkthrough Type
8.1
119
Not enough data
8.9
178
Not enough data
Platform Basics - Digital Adoption Platform
8.8
8
Not enough data
9.5
10
Not enough data
Analytics - Digital Adoption Platform
7.7
8
Not enough data
Functions - Digital Adoption Platform
8.1
8
Not enough data
8.7
9
Not enough data
Agentic AI - Digital Adoption Platform
Not enough data
Not enough data
Campaigns
8.9
21
Not enough data
7.9
18
Not enough data
8.4
16
Not enough data
9.4
20
Not enough data
Not enough data
Not enough data
Analytics
8.9
15
Not enough data
Not enough data
Not enough data
Optimization
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Push Notification
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Segmentation
Not enough data
8.8
21
Not enough data
8.1
14
Targeting
Not enough data
7.6
21
Not enough data
7.8
20
Triggered Content
Not enough data
7.8
16
Not enough data
Feature Not Available
Not enough data
7.4
13
Personalized Content
Not enough data
8.0
15
Not enough data
8.1
16
Not enough data
8.7
18
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
Data Sourcing
Not enough data
9.3
5
Not enough data
8.0
5
Not enough data
Not enough data
Not enough data
7.2
6
Intelligence
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
8.3
24
Not enough data
8.3
25
Not enough data
8.0
23
Functionality
Not enough data
8.0
25
Not enough data
8.5
26
Not enough data
7.6
26
Computing
Not enough data
7.9
67
Not enough data
6.4
61
Not enough data
6.9
72
Experimental Design
Not enough data
8.4
70
Not enough data
8.7
69
Not enough data
8.7
69
Analytics
Not enough data
8.2
68
Not enough data
5.8
62
Agentic AI - A/B 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
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
Analysis
6.7
6
Not enough data
6.4
6
Not enough data
5.6
6
Not enough data
6.7
6
Not enough data
Campaigns
5.8
6
Not enough data
6.9
6
Not enough data
4.7
6
Not enough data
5.0
6
Not enough data
5.8
6
Not enough data
6.9
6
Not enough data
Engagement
5.3
6
Not enough data
Platform
7.5
6
Not enough data
5.8
6
Not enough data
Feature Not Available
Not enough data
Agentic AI - Mobile Marketing
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
Variation Testing
5.2
10
Not enough data
7.0
10
Not enough data
7.6
11
Not enough data
6.8
10
Not enough data
Feature Not Available
Not enough data
6.5
10
Not enough data
Reporting
8.5
11
Not enough data
7.7
11
Not enough data
Personalization
8.5
11
Not enough data
8.0
11
Not enough data
7.4
11
Not enough data
Administration
7.6
11
Not enough data
7.8
10
Not enough data
8.5
11
Not enough data
9.1
11
Not enough data
Categories
Categories
Shared Categories
Appcues and Optimizely Web Experimentation are categorized as Personalization and Personalization Engines
Unique Categories
Appcues is categorized as Digital Adoption Platform, Mobile App Optimization, Mobile Marketing, and Push Notification
Optimizely Web Experimentation is categorized as Feature Management, E-Commerce Personalization, Customer Data Platform (CDP), A/B Testing, and Configuration Management
Reviews
Reviewers' Company Size
Appcues
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Optimizely Web Experimentation
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
33.3%
Information Technology and Services
15.6%
Marketing and Advertising
8.8%
Financial Services
6.5%
Internet
4.7%
Other
31.0%
Computer Software
11.1%
Information Technology and Services
9.3%
Financial Services
9.1%
Marketing and Advertising
8.1%
Retail
8.1%
Other
54.4%
Discussions
What does Appcues do?
3 Comments
BE
Appcues allows you to easily add tutorial and/or introductory cues to your website.Read more
How do I use Appcues?
3 Comments
SS
We used Appcues to engage with our customers, give our product owners more tools to learn from their experiences on the site, and collect NPI scores and...Read more
What is the best way to track progress of individual users through the adoption process so that we can create follow up tasks?
1 Comment
Official Response from Appcues
Hey Kushal! The best way to do this is to click and track an event using the Appcues Builder and then create a Goal and assign it to your flow. Read more
How does A/B Testing work?
1 Comment
TS
A/B testing is when you have a least two variations of something you want to test. Typically you have a control (which may be the current variant) and then...Read more
What are some ways that I can use A/B testing?
1 Comment
TS
Testing is ongoing and endless. We test new features such as additional form fields in a lead form. We test multiple CTAs to decide which produces the best...Read more
Optimizely Web Experimentation has no more discussions with answers
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