Convert Experiences vs. Optimizely Web Experimentation

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Convert Experiences
Score 9.9 out of 10
Mid-Size Companies (51-1,000 employees)
Convert Experiences is an experimentation platform that offers features and support to run A/B tests across multiple growth channels. Its enterprise-ready advanced features include full stack experimentation, multi-page testing, post-segmentation, sequential testing, targeting with 40+ filters, triggering tests based on data in other apps (data sources), dynamic triggers, complex goal tracking, and a secure API. It includes 90+ out-of-the box integrations in a…
$299
per month 100k tested users per month
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
Convert ExperiencesOptimizely Web Experimentation
Editions & Modules
Growth
$299
per month 100k tested users per month
Pro
$5988
per year 3M tested users available upfront
Enterprise
Pricing available on request
From 1M tested users/mo (billed annually)
Enterprise
Pricing available on request
From 1M tested users/mo (billed annually)
No answers on this topic
Offerings
Pricing Offerings
Convert ExperiencesOptimizely Web Experimentation
Free Trial
YesYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeOptional
Additional Details1. Annual contract or monthly payments available (40% discount for annual pricing). 2. Pricing is not feature dependent. Some features like integrations, goals, Live Logs are necessary to test successfully. This is why Convert caps by unique tested users - basically visitors who have been bucketed to see a variation and are unique to that variation. As a result the app tested users are always </= the site's net traffic.
More Pricing Information
Community Pulse
Convert ExperiencesOptimizely Web Experimentation
Features
Convert ExperiencesOptimizely Web Experimentation
Testing and Experimentation
Comparison of Testing and Experimentation features of Product A and Product B
Convert Experiences
9.4
Ratings
14% above category average
Optimizely Web Experimentation
8.0
Ratings
3% below category average
a/b experiment testing9.90 Ratings9.00 Ratings
Split URL testing10.00 Ratings8.50 Ratings
Multivariate testing9.80 Ratings8.40 Ratings
Multi-page/funnel testing9.00 Ratings7.90 Ratings
Cross-browser testing9.50 Ratings8.10 Ratings
Mobile app testing9.10 Ratings8.00 Ratings
Test significance10.00 Ratings8.40 Ratings
Visual / WYSIWYG editor9.80 Ratings8.10 Ratings
Advanced code editor9.90 Ratings8.00 Ratings
Page surveys9.10 Ratings6.20 Ratings
Visitor recordings9.10 Ratings8.40 Ratings
Preview mode10.00 Ratings7.60 Ratings
Test duration calculator7.40 Ratings7.90 Ratings
Experiment scheduler6.90 Ratings8.20 Ratings
Experiment workflow and approval9.10 Ratings7.80 Ratings
Dynamic experiment activation10.00 Ratings7.50 Ratings
Client-side tests10.00 Ratings7.80 Ratings
Server-side tests8.90 Ratings7.20 Ratings
Mutually exclusive tests10.00 Ratings8.10 Ratings
Audience Segmentation & Targeting
Comparison of Audience Segmentation & Targeting features of Product A and Product B
Convert Experiences
9.9
Ratings
15% above category average
Optimizely Web Experimentation
8.2
Ratings
4% below category average
Standard visitor segmentation10.00 Ratings8.40 Ratings
Behavioral visitor segmentation9.80 Ratings7.70 Ratings
Traffic allocation control10.00 Ratings9.10 Ratings
Website personalization9.80 Ratings7.80 Ratings
Results and Analysis
Comparison of Results and Analysis features of Product A and Product B
Convert Experiences
9.4
Ratings
11% above category average
Optimizely Web Experimentation
8.3
Ratings
1% below category average
Heatmap tool9.10 Ratings9.30 Ratings
Click analytics10.00 Ratings8.80 Ratings
Scroll maps9.10 Ratings8.50 Ratings
Form fill analysis9.10 Ratings8.00 Ratings
Conversion tracking9.00 Ratings8.70 Ratings
Goal tracking9.10 Ratings8.20 Ratings
Test reporting9.90 Ratings7.90 Ratings
Results segmentation9.80 Ratings7.70 Ratings
CSV export9.20 Ratings7.90 Ratings
Experiments results dashboard10.00 Ratings8.00 Ratings
Best Alternatives
Convert ExperiencesOptimizely Web Experimentation
Small Businesses
Google Content Experiments (discontinued)
Google Content Experiments (discontinued)
Score 7.3 out of 10
Convert Experiences
Convert Experiences
Score 9.9 out of 10
Medium-sized Companies
Dynamic Yield
Dynamic Yield
Score 8.3 out of 10
Dynamic Yield
Dynamic Yield
Score 8.3 out of 10
Enterprises
Dynamic Yield
Dynamic Yield
Score 8.3 out of 10
Dynamic Yield
Dynamic Yield
Score 8.3 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Convert ExperiencesOptimizely Web Experimentation
Likelihood to Recommend
9.9
(0 ratings)
8.7
(0 ratings)
Likelihood to Renew
9.1
(0 ratings)
9.5
(0 ratings)
Usability
8.0
(0 ratings)
10.0
(0 ratings)
Availability
-
(0 ratings)
10.0
(0 ratings)
Performance
-
(0 ratings)
7.3
(0 ratings)
Support Rating
9.8
(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
Convert ExperiencesOptimizely Web Experimentation
Likelihood to Recommend
Definitely well suited for budget conscious companies that want a solid array of functionality but without having to pay an exorbitant amount. Great for marketing and analytics team members that need the ability to get in and set up tests w/o dev assistance. But, functionality is there for developers to get in and set up more complicated tests.
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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.
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Pros
  • The platform is good value for money, comparing its features and prices to some of the bigger players.
  • The tool is very flexible and can be used for simpler tests right through to much more challenging and rewarding testing but does require a more thorough knowledge of the platform.
  • Their support team is always available and always responsive, not resting until resolutions are met.
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  • 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.
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Cons
  • The only thing I'm really missing is segmentation during or after testing of the results by device, new users etc., within the results page. Targeting of users based on segments is obviously possible.
  • There are a few inconsistencies in their user interface that I would have liked to see differently. This could be personal taste though.
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  • 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
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Likelihood to Renew
Couldn't live without this, no other tool does precisely what we need them to do
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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.
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Usability
To use the platform in the context of developing enhanced tests that stretch the platform there is as with most things a learning curve. However, if you're a casual user or have standard experiments that you wish to run you would be easily able to hit the ground running.
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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.
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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.
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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.
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Support Rating
I use support only in very emergency cases. The support hasn't been very helpful and suggests the problem is on my site
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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.
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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).
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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.
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Alternatives Considered
Convert was selected based on price point, feature set, and UI/UX. All three are very friendly to new testers and small to mid-market size companies. Their UI and tool workflow is the best out of all of the non-enterprise solutions that I have tried. There is some small room for improvement, but that only really affects power users or tests that require significant coding/development work to execute.
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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
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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.
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Return on Investment
  • Using Convert has allowed us to make quick decisions on site edits and price changes. Seeing and sharing quick results makes our operations much more profitable.
  • Connecting the tests with Shopify has produced very valuable and timely results that we can act upon as soon as we see statistically significant results.
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  • 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
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ScreenShots

Convert Experiences Screenshots

Screenshot of the conditions that can be stacked to build complex goals that can track (almost) any visitor action to determine the test outcome.Screenshot of granular targeting so only the right people view variations. 40+ conditions included.Screenshot of the API that brings Convert's capabilities to a testing ecosystem.Screenshot of experiment reports that can be shared with stakeholders and on social media.Screenshot of several advanced test types that are available, including multipage (funnel) experiments.Screenshot of full-stack experimentation that can be used to run tests anywhere that Convert code can be deployed.

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 Web Experimentation Visual Editor :

- Tweak experiments using the visual editor or dive into custom code when needed.
- Modify elements, update styling, or add dynamic behaviors.
- Ensure perfect variations while keeping control over every detail of the experiment.Screenshot of AI Content Suggestions:

- Generates copy variations to supercharge experiments.
- The AI suggests high-impact messaging for tests when hovering over a field.
- AI-powered content suggestions help skip the brainstorming process.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 Custom Templates in the Visual Editor:

- 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 the 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.