Contentsquare vs. Optimizely Web Experimentation

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Contentsquare
Score 7.4 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 Web Experimentation
Score 8.7 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
ContentsquareOptimizely Web Experimentation
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
ContentsquareOptimizely Web Experimentation
Free Trial
NoYes
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeOptional
Additional Details
More Pricing Information
Community Pulse
ContentsquareOptimizely Web Experimentation
Considered Both Products
Contentsquare
Chose Contentsquare
ContentSquare [(Clicktale)] is going deeper on UX understanding than traditional web analytics tools. You can truly understand how a page is used (where users click or even miss click, on which part of the page they are spending most of their time, if some links are clicked but …
Chose 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. …
Chose Contentsquare
The only other website analytical tool I have used is Google Analytics. They both have some overlap but Google Analytics is much more broad, while ClickTale focuses on what it does and provides tools and analysis to work within its area of expertise. When used together, more …
Chose Contentsquare
We used CrazyEgg prior to ClickTale. CrazyEgg is simpler to use and much less expensive, but you get what you pay for. ClickTale gives us more capabilities that we desired. If you are a small start up with few people dedicated to the web, go with CrazyEgg. If you are a larger …
Chose Contentsquare
Google in-page analytics- while it does many of the things Clicktale does and for free, it lacks the full featured offering that Clicktale provides. Mouse Recordings alone are worth it. They allow our new designers to watch and learn from real customers, then create solutions …
Chose Contentsquare
Tealeaf was way too expensive for us. ClickTale was a much more economical solution that still provides enterprise level service and quality!
Optimizely Web Experimentation
Chose Optimizely Web Experimentation
Atlassian Jira
Chose Optimizely Web Experimentation
We have just used experimentation just now, so we don't have any other tools or products.
Chose Optimizely Web Experimentation
I'm new to Experimentations. This is the only product that I've used.
Chose Optimizely Web Experimentation
Optmizely is much more performant product. We have witnessed less issues with page performance on Optimizely and have no issues with flickering. We had these issues with Maxymiser.
Chose Optimizely Web Experimentation
Contentsquare and Sitecore Digital Experience Platform
Chose Optimizely Web Experimentation
Best-in-Class Experiment Design compared to platforms like VWO and Convert. Optimizely offers a more polished and intuitive UI for setting up experiments. It feels purpose-built with lots of concurrent tests. Features like traffic allocation, audience targeting, and variation …
Chose Optimizely Web Experimentation
The ability to do A/B testing in Optimizely along with the associated statistical modelling and audience segmentation means it is a much better solution than using something like Google Analytics were a lot more effort is required to identify and isolate the specific data you …
Chose Optimizely Web Experimentation
I do not have any issues with AB Tasty. They are great. We went with Optimizely because they have several other products that will work together with our business model. Optimizely has grown and it now offers many other products that work with experimentation like CMS, CMP, ODP …
Chose Optimizely Web Experimentation
Google Optimize and Hotjar
Chose Optimizely Web Experimentation
Optimizely is highly intuitive, allowing marketers or non-technical folks to run experiments without complicated coding. It also allows for various types of experimentation, including A/B tests, multivariate tests, and personalization. This capability will enable teams to run …
Chose Optimizely Web Experimentation
Better UI, more integrated with our enterprise
Chose Optimizely Web Experimentation
This is a platform that was already implemented when I started with my current company.
Chose Optimizely Web Experimentation
The feature set and ecosystem for Optimizely seemed much more robust and scalable.
Chose Optimizely Web Experimentation
None of them have a best in class stats engine and live within an ecosystem of marketing technology products the way that Optimizely does, so the scalability of using any one of those tools is limited as compared to using Optimizely Web Experimentation.
Chose Optimizely Web Experimentation
It's a lot more, well, site stacked, it's way better than that. Adobe Target. I think the UI is easier to use on Optimizely. The one thing that I would say comparatively is our analytics talking to each other. Obviously Adobe, we use Adobe Analytics and Adobe Target, so they …
Chose Optimizely Web Experimentation
Optimizely is more user-friendly and cost-effective, ideal for experimentation-focused teams, while Adobe Target excels in advanced personalization and seamless integration within the Adobe ecosystem, making it better suited for large enterprises.
Chose Optimizely Web Experimentation
We analyzed a few competitors and optimizely had the most robust feature set and scalability
Chose Optimizely Web Experimentation
I feel Optimizely Web Experimentation stacked up well against Split
Chose Optimizely Web Experimentation
We haven't used other Optimizely products apart from Web Experimentation.
Chose Optimizely Web Experimentation
Optimizely Web Experimentation was more robust and able to handle the broad array of sites we run than VWO. It has been a great platform to easily add additional sites onto, but still providing a universal overview of all of them, making management a simple task.
Chose Optimizely Web Experimentation
we used Optimizely Web Experimentation then AB Tasty but came back to Optimizley because of its robust stat sig and features as well as all of the products we will be able to work in synchronization.
Chose Optimizely Web Experimentation
We use both, it just depends on the use case. I personally prefer feature experimentation but I see why both are useful.
Chose Optimizely Web Experimentation
Optimizely Web Experimentation has more robust product for experimentation specialists than VWO
Features
ContentsquareOptimizely Web Experimentation
Mobile Capabilities
Comparison of Mobile Capabilities features of Product A and Product B
Contentsquare
8.0
Ratings
0% below category average
Optimizely Web Experimentation
-
Ratings
Responsive Design for Web Access8.00 Ratings00 Ratings
Mobile Application8.00 Ratings00 Ratings
Dashboard / Report / Visualization Interactivity on Mobile8.00 Ratings00 Ratings
Results and Analysis
Comparison of Results and Analysis features of Product A and Product B
Contentsquare
9.7
Ratings
3% above category average
Optimizely Web Experimentation
8.3
Ratings
4% below category average
Heatmap tool8.00 Ratings9.30 Ratings
Click analytics10.00 Ratings8.80 Ratings
Scroll maps10.00 Ratings8.50 Ratings
Conversion tracking10.00 Ratings8.70 Ratings
Goal tracking10.00 Ratings8.20 Ratings
Session Recording and Replay10.00 Ratings00 Ratings
User Segmentation10.00 Ratings00 Ratings
Form fill analysis00 Ratings8.00 Ratings
Test reporting00 Ratings7.90 Ratings
Results segmentation00 Ratings7.70 Ratings
CSV export00 Ratings7.90 Ratings
Experiments results dashboard00 Ratings8.00 Ratings
Testing and Experimentation
Comparison of Testing and Experimentation features of Product A and Product B
Contentsquare
-
Ratings
Optimizely Web Experimentation
8.0
Ratings
5% below category average
a/b experiment testing00 Ratings9.00 Ratings
Split URL testing00 Ratings8.50 Ratings
Multivariate testing00 Ratings8.40 Ratings
Multi-page/funnel testing00 Ratings7.90 Ratings
Cross-browser testing00 Ratings8.10 Ratings
Mobile app testing00 Ratings8.00 Ratings
Test significance00 Ratings8.40 Ratings
Visual / WYSIWYG editor00 Ratings8.10 Ratings
Advanced code editor00 Ratings8.00 Ratings
Page surveys00 Ratings6.20 Ratings
Visitor recordings00 Ratings8.40 Ratings
Preview mode00 Ratings7.60 Ratings
Test duration calculator00 Ratings7.90 Ratings
Experiment scheduler00 Ratings8.20 Ratings
Experiment workflow and approval00 Ratings7.80 Ratings
Dynamic experiment activation00 Ratings7.50 Ratings
Client-side tests00 Ratings7.80 Ratings
Server-side tests00 Ratings7.20 Ratings
Mutually exclusive tests00 Ratings8.10 Ratings
Audience Segmentation & Targeting
Comparison of Audience Segmentation & Targeting features of Product A and Product B
Contentsquare
-
Ratings
Optimizely Web Experimentation
8.2
Ratings
7% below category average
Standard visitor segmentation00 Ratings8.40 Ratings
Behavioral visitor segmentation00 Ratings7.60 Ratings
Traffic allocation control00 Ratings9.10 Ratings
Website personalization00 Ratings7.80 Ratings
Best Alternatives
ContentsquareOptimizely Web Experimentation
Small Businesses
Smartlook
Smartlook
Score 8.8 out of 10
Convert Experiences
Convert Experiences
Score 9.9 out of 10
Medium-sized Companies
Quantum Metric
Quantum Metric
Score 7.5 out of 10
Dynamic Yield
Dynamic Yield
Score 9.0 out of 10
Enterprises
Quantum Metric
Quantum Metric
Score 7.5 out of 10
Dynamic Yield
Dynamic Yield
Score 9.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
ContentsquareOptimizely Web Experimentation
Likelihood to Recommend
7.0
(0 ratings)
8.7
(0 ratings)
Likelihood to Renew
7.5
(0 ratings)
9.5
(0 ratings)
Usability
7.0
(0 ratings)
10.0
(0 ratings)
Availability
-
(0 ratings)
10.0
(0 ratings)
Performance
-
(0 ratings)
7.3
(0 ratings)
Support Rating
-
(0 ratings)
10.0
(0 ratings)
Online Training
-
(0 ratings)
3.0
(0 ratings)
Implementation Rating
-
(0 ratings)
8.0
(0 ratings)
Configurability
-
(0 ratings)
6.0
(0 ratings)
Product Scalability
-
(0 ratings)
8.0
(0 ratings)
User Testimonials
ContentsquareOptimizely Web Experimentation
Likelihood to Recommend
It is well suited to businesses with a full time web analyst that will be using the tools to create actionable reports that drive action in the company. It is less appropriate where companies are just looking for some new tools and it will be forgotten soon after implementation. If a website is critical to your business and you have dedicated resources or consultants to help you understand the data, then it is invaluable. I love it.
Read full review
I think it can serve the whole spectrum of experiences from people who are just getting used to web experimentation. It's really easy to pick up and use. If you're more experienced then it works well because it just gets out of the way and lets you really focus on the experimentation side of things. So yeah, strongly recommend. I think it is well suited both to small businesses and large enterprises as well. I think it's got a really low barrier to entry. It's very easy to integrate on your website and get results quickly. Likewise, if you are a big business, it's incrementally adoptable, so you can start out with one component of optimizing and you can build there and start to build in things like data CMS to augment experimentation as well. So it's got a really strong a pathway to grow your MarTech platform if you're a small company or a big company.
Read full review
Pros
  • The qualitative aspects of user experience are very well captured by ClickTale. We can get solid actionable insights through the various dashboards which track mouse movements, clicks, scrolls, etc.
  • The visual conversion funnels give a very good high level view of landing page performance and how they work together.
  • The video recordings are especially helpful. The user behavior captured is especially helpful in making decisions about user interface - form fields, call to actions, etc.
Read full review
  • The Platform contains drag-and-drop editor options for creating variations, which ease the A/B tests process, as it does not require any coding or development resources.
  • Establishing it is so simple that even a non-technical person can do it perfectly.
  • It provides real-time results and analytics with robust dashboard access through which you can quickly analyze how different variations perform. With this, your team can easily make data-driven decisions Fastly.
Read full review
Cons
  • Looking at isolated recordings without creating a segment, we still have to use the old interface
  • User interface has been massively improved but there are a few nags here and there that still need to be addressed
  • Mobile and desktop should be shown side by side and not separately
Read full review
  • The results view is dense and difficult to package easily for leadership, and when filtering by segment it's hard to read comparative outcomes without clearing or swapping filters
  • The organization of experiments and statuses is a cluttered list and the search is limited in use - would love to see that improve with time
  • There are so many other MarTech products out there, would love to see more dedicated integrations so we don't have to invest in something like Zapier or Tray to build hacky automations
Read full review
Likelihood to Renew
For small companies with limited user testing budgets, ClickTale serves as a useful user testing tool. When I cannot get the funds for in depth user testing, I always know that I have a baseline of information I can rely on
Read full review
Because it's an incredible and essential tool for my line of work as a conversion optimization specialist. Really couldn't do my job nearly as effectively without it. It's paid for itself many times over and I feel like I'm only beginning to unlock the tools potential.
Read full review
Usability
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.
Read full review
Optimizely Web Experimentation's visual editor is handy for non-technical or quick iterative testing. When it comes to content changes it's as easy as going into wordpress, clicking around, and then seeing your changes live--what you see is what you get. The preview and approval process for sharing built experiments is also handy for sharing experiments across teams for QA purposes or otherwise.
Read full review
Reliability and Availability
No answers on this topic
I would rate Optimizely Web Experimentation's availability as a 10 out of 10. The software is reliable and does not experience any application errors or unplanned outages. Additionally, the customer service and technical support teams are always available to help with any issues or questions.
Read full review
Performance
No answers on this topic
I would rate Optimizely Web Experimentation's performance as a 9 out of 10. Pages load quickly, reports are complete in a reasonable time frame, and the software does not slow down any other software or systems that it integrates with. Additionally, the customer service and technical support teams are always available to help with any issues or questions.
Read full review
Support Rating
No answers on this topic
They always are quick to respond, and are so friendly and helpful. They always answer the phone right away. And [they are] always willing to not only help you with your problem, but if you need ideas they have suggestions as well.
Read full review
Online Training
No answers on this topic
The tool itself is not very difficult to use so training was not very useful in my opinion. It did not also account for success events more complex than a click (which my company being ecommerce is looking to examine more than a mere click).
Read full review
Implementation Rating
No answers on this topic
The implementation through the tag management system took a bit of trial and error at first, mostly due to the asynchronous nature of the TMS. We had to manipulate the implementation to assure that the Optimizely code was written to the page at the right time to allow the experiment content load in the browser without showing any of the original content first. We also needed to make some adjustments to the TMS code to get the integration with Site Catalyst timed appropriately.
Read full review
Alternatives Considered
ContentSquare [(Clicktale)] is going deeper on UX understanding than traditional web analytics tools. You can truly understand how a page is used (where users click or even miss click, on which part of the page they are spending most of their time, if some links are clicked but bad positioned on the page...), and that's a thing you can't really measure trough a traditional web analytics tool.
Read full review
The ability to do A/B testing in Optimizely along with the associated statistical modelling and audience segmentation means it is a much better solution than using something like Google Analytics were a lot more effort is required to identify and isolate the specific data you need to confidently make changes
Read full review
Scalability
No answers on this topic
It's incredibly flexible and adapts well to organizations of all sizes, whether you’re running a single site or managing multiple departments and platforms. The ability to deploy experiments seamlessly across different environments is a huge plus, especially for growing businesses. While it’s highly scalable, the last point would depend on the right team leveraging its full potential.
Read full review
Return on Investment
  • I learned how effective some of our image carousels were. How only 10% of a page visitors were being exposed to only the first slide. People were scrolling down or leaving the page without ever being exposed to 90% of the content. Once I provided this input to stakeholders it was an easy sell to redesign this aspect of the page.
  • I used the mouse-move heat map to analyze user interaction with the footer. Showing stakeholders the before and after redesign heat maps did wonders for improving my credibility as an usability analyst.
  • We used Clicktale to help analyze our 404 error page effectiveness. Our redesign gave us a 14% lower bounce rate on our redesigned 404 error page. Stakeholders appreciated a quantitative measure to gauge the success of that project.
Read full review
  • we saved money by not implementing certain copy/design
  • we learned that customers from different states react different to a variation
  • we are slowly learning where conversion happens and where to fix the frictions
  • Testing shorter vs longer journeys increased funnel conversion in some states - we avoided implementing this nationwide
Read full review
ScreenShots

Optimizely Web Experimentation Screenshots

Screenshot of AI-Powered Experimentation with Opal:

- Instant Test Ideas: Generates high-quality A/B test ideas based on any goals and audience insights.
- Smarter Experimentation: The AI can suggest impactful variations, reducing guesswork and increasing test velocity.
- More Than Just Ideas: From hypothesis generation to analyzing results, Opal helps optimize every stage of the experimentation process.Screenshot of the new Visual Editor with an AI Variation Development Agent

Create simple or advanced website changes fast without writing a line of code with our AI Development Agent.

Use natural language to build out your ideas and apply brand styles to your experiments instantly.Screenshot of Advanced Audience Targeting:

- Delivers personalized experiences by targeting users based on behaviors, attributes, and real-time conditions.
- Defines precise audience segments using first-party data, geolocation, and device type.
- Can test and optimize for different audience groups to maximize impact and engagement.Screenshot of Variation Template

Library of experience templates that you can access right within the Visual Editor. Customize these templates or create your own to easily reuse throughout your experimentation program.

- Offers pre-built templates for common test setups.
- Standardized variations and maintains brand integrity with reusable templates.
- Templates can be customized visually or tweak them with code for full flexibility.Screenshot of Web Experimentation Results Page:

- Data visualizations help interpret experiment performance.
- Displays which variations are winning with built-in statistical significance calculations.
- Results can be filtered by audience segments, events, and conversions to uncover key trends.Screenshot of the custom code editor for JavaScript & CSS changes, used to build complex tests.