Contentsquare vs. Optimizely Feature Experimentation

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Contentsquare
Score 7.7 out of 10
N/A
Contentsquare is a digital experience analytics cloud designed to help companies understand hidden customer behaviors, and use those insights to drive more successful experiences. It includes functionality from the former Clicktale heatmap, session recording, and A/B testing tool and now boasts a suite of customer journey analytic capabilities.N/A
Optimizely Feature Experimentation
Score 8.2 out of 10
N/A
Optimizely Feature Experimentation unites feature flagging, A/B testing, and built-in collaboration—so marketers can release, experiment, and optimize with confidence in one platform.N/A
Pricing
ContentsquareOptimizely Feature Experimentation
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
ContentsquareOptimizely Feature Experimentation
Free Trial
NoNo
Free/Freemium Version
YesYes
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeNo setup feeRequired
Additional Details
More Pricing Information
Community Pulse
ContentsquareOptimizely Feature Experimentation
Considered Both Products
Contentsquare

No answer on this topic

Optimizely Feature Experimentation
Chose Optimizely Feature Experimentation
We haven't evaluated other products. We have an in-house product that is missing a lot of features and is very behind from making the test process easier.

Instead of evolving our in-house product with limited resources, we decided to go with Optimizely Feature Experimentation …
Features
ContentsquareOptimizely Feature Experimentation
Mobile Capabilities
Comparison of Mobile Capabilities features of Product A and Product B
Contentsquare
8.0
1 Ratings
5% above category average
Optimizely Feature Experimentation
-
Ratings
Responsive Design for Web Access8.01 Ratings00 Ratings
Mobile Application8.01 Ratings00 Ratings
Dashboard / Report / Visualization Interactivity on Mobile8.01 Ratings00 Ratings
Results and Analysis
Comparison of Results and Analysis features of Product A and Product B
Contentsquare
9.7
1 Ratings
3% above category average
Optimizely Feature Experimentation
-
Ratings
Heatmap tool8.01 Ratings00 Ratings
Click analytics10.01 Ratings00 Ratings
Scroll maps10.01 Ratings00 Ratings
Conversion tracking10.01 Ratings00 Ratings
Goal tracking10.01 Ratings00 Ratings
Session Recording and Replay10.01 Ratings00 Ratings
User Segmentation10.01 Ratings00 Ratings
Best Alternatives
ContentsquareOptimizely Feature Experimentation
Small Businesses
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Score 8.5 out of 10
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Score 8.6 out of 10
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Quantum Metric
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Score 8.2 out of 10
GitLab
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Score 8.6 out of 10
Enterprises
Quantum Metric
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Score 8.2 out of 10
GitLab
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Score 8.6 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
ContentsquareOptimizely Feature Experimentation
Likelihood to Recommend
7.0
(14 ratings)
8.3
(48 ratings)
Likelihood to Renew
7.5
(11 ratings)
4.5
(2 ratings)
Usability
7.0
(1 ratings)
7.7
(27 ratings)
Support Rating
-
(0 ratings)
3.6
(1 ratings)
Implementation Rating
-
(0 ratings)
10.0
(1 ratings)
Product Scalability
-
(0 ratings)
5.0
(1 ratings)
User Testimonials
ContentsquareOptimizely Feature Experimentation
Likelihood to Recommend
Contentsquare
ContentSquare [(Clicktale)] is best suited to deep dive understanding of how web users truly consume your web pages. For example, when a traditional analytics software informs you on exit rates, ContentSquare [(Clicktale)] helps you to understand if users left without interacting with their last page or if they in fact spent time reading, scrolling, clicking it.
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Optimizely
Based on my experience with Optimizely Feature Experimentation, I can highlight several scenarios where it excels and a few where it may be less suitable. Well-suited scenarios: - Multi-Channel product launches - Complex A/B testing and feature flag management - Gradual rollout and risk mitigation Less suited scenarios: - Simple A/B tests (their Web Experimentation product is probably better for that) - Non-technical team usage -
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Pros
Contentsquare
  • Heat Maps - we used and liked CrazyEgg in the past, and it was a cheaper tool that was easy to use. ClickTale gives us additional capabilities with better data about scroll reach, mouse movements, clicks and a summary report that shows what parts of our pages are getting attention. A product manager asked us yesterday for insights on how his product page was performing, and we were easily able to send him the reports in the heat map section.
  • Visitor recordings - We get good data on our website using analytics tools like GA, HubSpot and ClickTale, but it is very helpful to watch actual visitor recordings for certain visitor segments. If we add a new page or new feature to our website and notice a trend, we can easily drill down and watch visitors and see how they are interacting with the page.
  • Conversion funnels - We do a lot of our analysis in Google Analytics and you can set up conversion funnels in GA if you know how to do it. The problem is you can't segment the data and the aggregated data is not as helpful. ClickTale makes it very simple to do conversion funnels, and you can segment them with just a few clicks.
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Optimizely
  • It is easy to use any of our product owners, marketers, developers can set up experiments and roll them out with some developer support. So the key thing there is this front end UI easy to use and maybe this will come later, but the new features such as Opal and the analytics or database centric engine is something we're interested in as well.
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Cons
Contentsquare
  • It's a bit difficult to navigate form heatmaps of one page on my sites to those of another.
  • It would be useful to have data on what percentage of clicks for each link are bounces. If this is available already, it is not very easy to find.
  • I have slight doubts about the accuracy of ClickTale's data based on some industry related articles I've read (i.e. http://redant.com.au/tool-reviews/clicktale-review-technology/). For the most part I feel like the data I'm getting is accurate, because it roughly corresponds to what I'm able to see on Google Analytics. It would be nice to see ClickTale address some of these issues.
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Optimizely
  • Would be nice to able to switch variants between say an MVT to a 50:50 if one of the variants is not performing very well quickly and effectively so can still use the standardised report
  • Interface can feel very bare bones/not very many graphs or visuals, which other providers have to make it a bit more engaging
  • Doesn't show easily what each variant that is live looks like, so can be hard to remember what is actually being shown in each test
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Likelihood to Renew
Contentsquare
At my former company I was able to upgrade our initial subscription level from bronze to gold without any problems after the first year. Unfortunately, the company I am presently with doesn't have a Clicktale subscription. I would have absolutely no hesitation in strongly recommending Clicktale to my current company if I ever get even a remote chance to do so. Clicktale is used in some of the statistics I use on my resume in an effort to quantify my results as a certified usability analyst. Clicktale has made a significant difference in my value to any team I work with.
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Optimizely
Competitive landscape
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Usability
Contentsquare
I had some issues interacting with viewing recordings of a specific page by many users but my impression was that this was going to be fixed.
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Optimizely
Easy to navigate the UI. Once you know how to use it, it is very easy to run experiments. And when the experiment is setup, the SDK code variables are generated and available for developers to use immediately so they can quickly build the experiment code
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Support Rating
Contentsquare
No answers on this topic
Optimizely
Support was there but it was pretty slow at most times. Only after escalation was support really given to our teams
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Implementation Rating
Contentsquare
No answers on this topic
Optimizely
It’s straightforward. Docs are well written and I believe there must be a support. But we haven’t used it
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Alternatives Considered
Contentsquare
ClickTale is now a step ahead of the competition since it delivers insights based on pre-defined business KPIs and customer journeys that we have set up. We can also segment our traffic and easily sift through the many recordings finding the ones that match our lookup criteria. This paired with a good and reliable PII masking helps us with insight collection and drive business decisions which other solutions don't have. The new non-Flash interface is clean and simple to use and has all the functionalities centralized.
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Optimizely
When Google Optimize goes off we searched for a tool where you can be sure to get a good GA4 implementation and easy to use for IT team and product team. Optimizely Feature Experimentation seems to have a good balance between pricing and capabilities. If you are searching for an experimentation tool and personalization all in one... then maybe these comparison change and Optimizely turns to expensive. In the same way... if you want a server side solution. For us, it will be a challenge in the following years
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Scalability
Contentsquare
No answers on this topic
Optimizely
had troubles with performance for SSR and the React SDK
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Return on Investment
Contentsquare
  • Rarely was actionable insight taken from the ClickTale tool that resulted in a better user experience on our website. We made small changes on different aspects of our webpages that typically did not show an improvement over the previous versions.
  • The dedicated time and resources in the ClickTale tool did not justify the investment. The heat maps can be helpful but they are based on mouse clicks (Google Analytics can help with that). Watching recordings can get time consuming and don't always provide enough data for an actionable takeaway.
  • If you take the approach of identifying a potential problem on your website first, then using the ClickTale tool to dig deeper in the issue, you might find the tool helpful. However, make sure you gather enough data on the potential issue before making changes to your site (and monitor the changes afterward).
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Optimizely
  • We have a huge, noteworthy ROI case study of how we did a SaaS onboarding revamp early this year. Our A/B test on a guided setup flow improved activation rates by 20 percent, which translated to over $1.2m in retained ARR.
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ScreenShots

Optimizely Feature Experimentation Screenshots

Screenshot of Feature Flag Setup. Here users can run flexible A/B and multi-armed bandit tests, as well as:

- Set up a single feature flag to test multiple variations and experiment types
- Enable targeted deliveries and rollouts for more precise experimentation
- Roll back changes quickly when needed to ensure experiment accuracy and reduce risks
- Increase testing flexibility with control over experiment types and delivery methodsScreenshot of Audience Setup. This is used to target specific user segments for personalized experiments, and:

- Create and customize audiences based on user attributes
- Refine audience segments to ensure the right users are included in tests
- Enhance experiment relevance by setting specific conditions for user groupsScreenshot of Experiment Results, supporting the analysis and optimization of experimentation outcomes. Viewers can also:

- examine detailed experiment results, including key metrics like conversion rates and statistical significance
- Compare variations side-by-side to identify winning treatments
- Use advanced filters to segment and drill down into specific audience or test dataScreenshot of a Program Overview. These offer insights into any experimentation program’s performance. It also offers:

- A comprehensive view of the entire experimentation program’s status and progress
- Monitoring for key performance metrics like test velocity, success rates, and overall impact
- Evaluation of the impact of experiments with easy-to-read visualizations and reporting tools
- Performance tracking of experiments over time to guide decision-making and optimize strategiesScreenshot of AI Variable Suggestions. These enhance experimentation with AI-driven insights, and can also help with:

- Generating multiple content variations with AI to speed up experiment design
- Improving test quality with content suggestions
- Increasing experimentation velocity and achieving better outcomes with AI-powered optimizationScreenshot of Schedule Changes, to streamline experimentation. Users can also:

- Set specific times to toggle flags or rules on/off, ensuring precise control
- Schedule traffic allocation percentages for smooth experiment rollouts
- Increase test velocity and confidence by automating progressive changes