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 Experiences
Optimizely 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 Experiences
Optimizely Web Experimentation
Free Trial
Yes
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
Optional
Additional Details
1. 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.
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More Pricing Information
Community Pulse
Convert Experiences
Optimizely Web Experimentation
Features
Convert Experiences
Optimizely 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
2% below category average
a/b experiment testing
9.90 Ratings
9.00 Ratings
Split URL testing
10.00 Ratings
8.50 Ratings
Multivariate testing
9.80 Ratings
8.40 Ratings
Multi-page/funnel testing
9.00 Ratings
7.90 Ratings
Cross-browser testing
9.50 Ratings
8.10 Ratings
Mobile app testing
9.10 Ratings
8.00 Ratings
Test significance
10.00 Ratings
8.40 Ratings
Visual / WYSIWYG editor
9.80 Ratings
8.10 Ratings
Advanced code editor
9.90 Ratings
8.00 Ratings
Page surveys
9.10 Ratings
6.20 Ratings
Visitor recordings
9.10 Ratings
8.40 Ratings
Preview mode
10.00 Ratings
7.60 Ratings
Test duration calculator
7.40 Ratings
7.90 Ratings
Experiment scheduler
6.90 Ratings
8.20 Ratings
Experiment workflow and approval
9.10 Ratings
7.80 Ratings
Dynamic experiment activation
10.00 Ratings
7.50 Ratings
Client-side tests
10.00 Ratings
7.80 Ratings
Server-side tests
8.90 Ratings
7.20 Ratings
Mutually exclusive tests
10.00 Ratings
8.10 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 segmentation
10.00 Ratings
8.40 Ratings
Behavioral visitor segmentation
9.80 Ratings
7.70 Ratings
Traffic allocation control
10.00 Ratings
9.10 Ratings
Website personalization
9.80 Ratings
7.80 Ratings
Results and Analysis
Comparison of Results and Analysis features of Product A and Product B
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.
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.
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.
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.
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.
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
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.
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.
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.
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.
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.
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.
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).
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.
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.
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
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.
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.