Google Content Experiments (discontinued) vs. Optimizely Web Experimentation

Google Content Experiments (discontinued)

74 Reviews and Ratings

Optimizely Web Experimentation

580 Reviews and Ratings

Overview
Product	Rating	Most Used By	Product Summary	Starting Price
Google Content Experiments (discontinued)	Score7.3 out of 10	N/A	Google Content Experiments was a tool that can be used to create A/B test from within Google Analytics. It has been discontinued since 2019, and Google now recommends using its Google Optimize service for A/B testing.	N/A
Optimizely Web Experimentation	Score8.7 out of 10	N/A	Whether launching a first test or scaling a sophisticated experimentation program, Optimizely Web Experimentation aims to deliver the insights needed to craft high-performing digital experiences that drive engagement, increase conversions, and accelerate growth.	N/A

Pricing

Google Content Experiments (discontinued)

Optimizely Web Experimentation

No answers on this topic

No answers on this topic

Pricing Offerings
Google Content Experiments (discontinued)	Optimizely Web Experimentation
Free Trial
No	Yes
Free/Freemium Version
No	No
Premium Consulting/Integration Services
No	Yes

No setup fee

Optional

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Community Pulse
Key User Insights
	Google Content Experiments (discontinued)	Optimizely Web Experimentation
Considered Both Products	Discontinued Products Verified User Chose Google Content Experiments (discontinued) Google Content Experiments is a free tool and the leading tool in the industry. It's pretty simple to set up a test and use content experiments to monitor objectives once Google Analytics is installed. Less experienced team members can run tests with some training. There are … Incentivized Helpful? Sam Wiltshire Web Marketing Specialist in Marketing at Kroll Ontrack UK (Information Technology and Services, 5001-10,000 employees) Chose Google Content Experiments (discontinued) Google CE is free, Optimizely isn't plus only until recently I found out that Optimizely can work with multiple goals, however, this was found by meeting their employees at a trade show and not via their website. Incentivized Helpful? Jenny DeGraff Design Optimization Manager in Marketing at Marketing Mojo, A Digital Marketing Agency (Marketing and Advertising, 11-50 employees) Chose Google Content Experiments (discontinued) Google Content Experiments provides significantly more insight, historical data and analysis than Unbounce. However, if you do need a solution that offers a WYSIWYG editor, landing page hosting, and limited reporting and testing, Unbounce is a good all-in-one solution and that … Helpful? Verified User Chose Google Content Experiments (discontinued) GCE isn't better or worse than any of these, it's just different. When I have the time to build a new page, setup the testing scripts, and go - then I'll use GCE. If I'm doing multivariate I use VWO. If I'm testing a quick button or headline change, I use Optimizely or UnBounce. Helpful? David Jackiewicz Marketing Manager in Marketing at Inner City Christian Federation (Marketing and Advertising, 11-50 employees) Chose Google Content Experiments (discontinued) Google CE does a great job streamlining tools and features. Optimizely does not offer nearly the same amount of tools or resources that G CE does. I would use CE in the future but stay away from Optimizely. Google also has a lot more resources for accruing knowledge on it … Helpful?	Optimizely Verified User Chose Optimizely Web Experimentation Our choice of Optimizely was based on ease of use, reputation, and price. All 3 solutions seemed to have high reviews from users. We found VWO to be the most expensive, with Google CE being free and Optimizely in the middle. However we ruled out Google because it seemed to have … Incentivized Helpful? Michelle Kubot Online Marketing Analyst in Marketing at Hair Club (Retail, 501-1000 employees) Chose Optimizely Web Experimentation These competitors are great examples of what is below and above Optimizley, in terms of price and capability. Adobe Test & Target is going to have a lot more features and capabilities, and, as you probably have guessed, it is much, much less affordable. Google Content … Incentivized Helpful? Verified User Chose Optimizely Web Experimentation We previously used Google's content experiments to do our A/B testing, but we found their testing methodology to be inflexible (they would often stop experments when they felt that a certain level of confidence was met and did not allow us to build in our own level of … Helpful?
	Would buy again
	No answers on this topic	No answers on this topic
	Delivers good value for the price
	No answers on this topic	No answers on this topic
	Happy with the feature set
	No answers on this topic	No answers on this topic
	Lived up to sales and marketing promises
	No answers on this topic	No answers on this topic
	Implementation went as expected
No answers on this topic	No answers on this topic

Features

Google Content Experiments (discontinued)

Optimizely Web Experimentation

Comparison of Testing and Experimentation features of Google Content Experiments (discontinued) and Optimizely Web Experimentation
Feature	Google Content Experiments (discontinued) 9.2 1 Ratings	Optimizely Web Experimentation 8.0 150 Ratings
a/b experiment testing	9.01 Ratings	9.0150 Ratings
Split URL testing	10.01 Ratings	8.5122 Ratings
Multivariate testing	10.01 Ratings	8.4127 Ratings
Multi-page/funnel testing	9.01 Ratings	7.9116 Ratings
Cross-browser testing	8.01 Ratings	8.186 Ratings
Mobile app testing	8.01 Ratings	8.066 Ratings
Test significance	9.01 Ratings	8.4136 Ratings
Visual / WYSIWYG editor	10.01 Ratings	8.2121 Ratings
Advanced code editor	9.01 Ratings	8.0114 Ratings
Page surveys	8.01 Ratings	6.217 Ratings
Visitor recordings	8.01 Ratings	8.418 Ratings
Preview mode	8.01 Ratings	7.6133 Ratings
Test duration calculator	10.01 Ratings	7.9101 Ratings
Experiment scheduler	10.01 Ratings	8.2101 Ratings
Experiment workflow and approval	8.01 Ratings	7.881 Ratings
Dynamic experiment activation	10.01 Ratings	7.565 Ratings
Client-side tests	10.01 Ratings	7.888 Ratings
Server-side tests	10.01 Ratings	7.244 Ratings
Mutually exclusive tests	10.01 Ratings	8.274 Ratings

Comparison of Audience Segmentation & Targeting features of Google Content Experiments (discontinued) and Optimizely Web Experimentation
Feature	Google Content Experiments (discontinued) 10.0 1 Ratings	Optimizely Web Experimentation 8.2 142 Ratings
Standard visitor segmentation	10.01 Ratings	8.4137 Ratings
Behavioral visitor segmentation	10.01 Ratings	7.6113 Ratings
Traffic allocation control	10.01 Ratings	9.1135 Ratings
Website personalization	10.01 Ratings	7.8103 Ratings

Comparison of Results and Analysis features of Google Content Experiments (discontinued) and Optimizely Web Experimentation
Feature	Google Content Experiments (discontinued) 9.9 1 Ratings	Optimizely Web Experimentation 8.3 138 Ratings
Click analytics	10.01 Ratings	8.833 Ratings
Form fill analysis	10.01 Ratings	8.065 Ratings
Conversion tracking	10.01 Ratings	8.744 Ratings
Goal tracking	10.01 Ratings	8.2117 Ratings
Test reporting	9.01 Ratings	7.9126 Ratings
Results segmentation	10.01 Ratings	7.793 Ratings
CSV export	10.01 Ratings	7.992 Ratings
Experiments results dashboard	10.01 Ratings	8.049 Ratings
Heatmap tool	00 Ratings	9.313 Ratings
Scroll maps	00 Ratings	8.517 Ratings

User Ratings
	Google Content Experiments (discontinued)	Optimizely Web Experimentation
Likelihood to Recommend	9.0 (13 ratings)	8.7 (238 ratings)
Likelihood to Renew	7.5 (10 ratings)	9.5 (51 ratings)
Usability	- (0 ratings)	10.0 (58 ratings)
Availability	- (0 ratings)	10.0 (7 ratings)
Performance	- (0 ratings)	7.3 (6 ratings)
Support Rating	8.0 (1 ratings)	10.0 (16 ratings)
Online Training	- (0 ratings)	3.0 (1 ratings)
Implementation Rating	- (0 ratings)	8.0 (11 ratings)
Configurability	- (0 ratings)	6.0 (1 ratings)
Product Scalability	- (0 ratings)	8.0 (148 ratings)