Appian vs. Optimizely Web Experimentation

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Appian
Score 8.3 out of 10
N/A
Appian is a low-code development and business process management platform. It features drag-and-drop design for app building, automated work processes, unified data management, and cloud-based deployment.
$0
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
AppianOptimizely Web Experimentation
Editions & Modules
Appian Community Edition
$0
Application - Input-Only
$2
per month per user
Application - Infrequent
$9
per month per user
Application - Standard
$75
per month per user
Platform
Custom Quote Priced per user with unlimited apps.
minimum 100 users, no maximum
Unlimited
Custom Quote Priced per development with unlimited apps.
unlimited
Platform
Custom Quote Priced per user with unlimited apps.
Minimum 100, no maximum
Unlimited
Custom Quote Priced per development with unlimited apps.
Unlimited
No answers on this topic
Offerings
Pricing Offerings
AppianOptimizely Web Experimentation
Free Trial
YesYes
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
YesYes
Entry-level Setup FeeNo setup feeOptional
Additional Details
More Pricing Information
Community Pulse
AppianOptimizely Web Experimentation
Features
AppianOptimizely Web Experimentation
Low-Code Development
Comparison of Low-Code Development features of Product A and Product B
Appian
9.1
75 Ratings
8% above category average
Optimizely Web Experimentation
-
Ratings
Visual Modeling8.873 Ratings00 Ratings
Drag-and-drop Interfaces8.972 Ratings00 Ratings
Platform Security9.271 Ratings00 Ratings
Platform User Management8.872 Ratings00 Ratings
Reusability9.575 Ratings00 Ratings
Platform Scalability9.573 Ratings00 Ratings
Testing and Experimentation
Comparison of Testing and Experimentation features of Product A and Product B
Appian
-
Ratings
Optimizely Web Experimentation
7.9
163 Ratings
6% below category average
a/b experiment testing00 Ratings9.0163 Ratings
Split URL testing00 Ratings8.5135 Ratings
Multivariate testing00 Ratings8.4139 Ratings
Multi-page/funnel testing00 Ratings7.9126 Ratings
Cross-browser testing00 Ratings8.197 Ratings
Mobile app testing00 Ratings8.175 Ratings
Test significance00 Ratings8.4147 Ratings
Visual / WYSIWYG editor00 Ratings8.1133 Ratings
Advanced code editor00 Ratings7.9125 Ratings
Page surveys00 Ratings6.217 Ratings
Visitor recordings00 Ratings8.418 Ratings
Preview mode00 Ratings7.6145 Ratings
Test duration calculator00 Ratings7.8112 Ratings
Experiment scheduler00 Ratings8.2112 Ratings
Experiment workflow and approval00 Ratings7.890 Ratings
Dynamic experiment activation00 Ratings7.674 Ratings
Client-side tests00 Ratings7.896 Ratings
Server-side tests00 Ratings7.250 Ratings
Mutually exclusive tests00 Ratings8.180 Ratings
Audience Segmentation & Targeting
Comparison of Audience Segmentation & Targeting features of Product A and Product B
Appian
-
Ratings
Optimizely Web Experimentation
8.2
152 Ratings
7% below category average
Standard visitor segmentation00 Ratings8.4147 Ratings
Behavioral visitor segmentation00 Ratings7.7122 Ratings
Traffic allocation control00 Ratings9.1144 Ratings
Website personalization00 Ratings7.8111 Ratings
Results and Analysis
Comparison of Results and Analysis features of Product A and Product B
Appian
-
Ratings
Optimizely Web Experimentation
8.3
149 Ratings
4% below category average
Heatmap tool00 Ratings9.313 Ratings
Click analytics00 Ratings8.833 Ratings
Scroll maps00 Ratings8.517 Ratings
Form fill analysis00 Ratings8.072 Ratings
Conversion tracking00 Ratings8.744 Ratings
Goal tracking00 Ratings8.2127 Ratings
Test reporting00 Ratings7.9137 Ratings
Results segmentation00 Ratings7.7103 Ratings
CSV export00 Ratings7.9102 Ratings
Experiments results dashboard00 Ratings8.049 Ratings
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AppianOptimizely Web Experimentation
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User Ratings
AppianOptimizely Web Experimentation
Likelihood to Recommend
9.4
(139 ratings)
8.7
(253 ratings)
Likelihood to Renew
8.5
(19 ratings)
9.4
(51 ratings)
Usability
8.7
(95 ratings)
10.0
(58 ratings)
Availability
-
(0 ratings)
10.0
(7 ratings)
Performance
-
(0 ratings)
7.3
(6 ratings)
Support Rating
8.4
(118 ratings)
10.0
(16 ratings)
In-Person Training
9.0
(1 ratings)
-
(0 ratings)
Online Training
6.0
(2 ratings)
3.0
(1 ratings)
Implementation Rating
1.0
(5 ratings)
8.0
(11 ratings)
Configurability
-
(0 ratings)
6.0
(1 ratings)
Product Scalability
-
(0 ratings)
8.0
(162 ratings)
User Testimonials
AppianOptimizely Web Experimentation
Likelihood to Recommend
Appian
Appian works great for automating manual processes and integrating multiple systems through its toolset. It gives great flexibility for establishing rules for approvals, routings, escalations, and the like. Because of the low code toolset, it's very easy to deploy and make changes as needed as processes evolve and as the organization learns to utilize the system better. Minimal maintenance is required to support the applications build on the platform. Some of the automated testing integration with tools like Jenkins is limited so that may be an issue for some.
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Optimizely
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
Appian
  • Allows at a glance workflow documentation which assists in the need we have for information readiation.
  • Drag and drop interface for workflow development greatly speeds our apps time to market.
  • Using the advanced features of Appian, we are able to create working sites in a fraction of the time it would take to do so using "traditional" development.
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Optimizely
  • 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
Appian
  • Search issues when type ahead and database search are used in the same field.
  • Buttons implementation where user is require[d] to click on the button description - if clicks on the button outside that text - button will not work.
  • Problems with using certain off-the-shelf performance tools like WebLoad or Neoload. That is because of different dynamic variables being used internally in Appian - which these tools are unable to correlate. We are still investigating using other tools like Jmeter to overcome dynamic correlation problem for performance testing.
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Optimizely
  • JavaScript is hard to implement sometimes especially for JQuery elements
  • ROI reporting should be part of the overall experimentation reporting
  • CMP integration: where we can easily show status of test on the HPT request
  • CMS integration
  • More widgets like social proof banners, etc.
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Likelihood to Renew
Appian
We recently renewed our license with Appian. We are convinced that its flexibility, relative ease of use, the support they provide, there mobile advancements and their general willingness and desire to see us succeed all contributed to our reason to renew our agreement with Appian
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Optimizely
I rated this question because at this stage, Optimizely does most everything we need so I don't foresee a need to migrate to a new tool. We have the infrastructure already in place and it is a sizeable lift to pivot to another tool with no guarantee that it will work as good or even better than Optimizely
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Usability
Appian
Appian is a low code environment, because of this, a very good visual interface is required. Appian is providing a feature-rich dashboard [that] we can use for building the dashboards and other interfaces. Appian also provides patches and releases to enhance these features. A developer can start off development just by going through a basic course from the Appian learning community.
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Optimizely
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
Appian
No answers on this topic
Optimizely
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
Appian
No answers on this topic
Optimizely
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
Appian
Appian is one of the leading low code business automation platforms that support RPA, decision rules, case management, workflow automation, and machine learning all in a single bundle. But it is also harder to implement and replace the traditional business process.
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Optimizely
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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In-Person Training
Appian
As analyst I participated in a developer boot camp. At times it was hard to keep up but most of the time it made sense. Trainer took the time to explain and slowed pace down to answer questions etc.
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Optimizely
No answers on this topic
Online Training
Appian
Very boring; hard to get through quickly, but rather effective in demonstrating the use of the platform.
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Optimizely
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
Appian
It was really seamless. SaaS in the true definition of the word. We logged on and started using the product. Very easy.
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Optimizely
In retrospect: - I think I should have stressed more demo's / workshopping with the Optimizely team at the start. I felt too confident during demo stages, and when came time to actually start, I was a bit lost. (The answer is likely I should have had them on-hand for our first install.. they offered but I thought I was OK.) - Really getting an understanding / asking them prior to install of how to make it really work for checkout pages / one that uses dynamic content or user interaction to determine what the UI does. Could have saved some time by addressing this at the beginning, as some things we needed to create on our site for Optimizely to "use" as a trigger for the variation test. - Having a number of planned/hoped-for tests already in-hand before working with Optimizely team. Sharing those thoughts with them would likely have started conversations on additional things we needed to do to make them work (rather than figuring that out during the actual builds). Since I had development time available, I could have added more things to the baseline installation since my developers were already "looking under the hood" of the site.
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Alternatives Considered
Appian
Appian has enormously transformed and keeps on updating the product every quarter to meet the latest needs of the world with new innovations & technologies being integrated within the platform. What gives more pleasure than a product that keeps on continuous[ly] improv[ing]?
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Optimizely
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
Appian
No answers on this topic
Optimizely
We can use it flexibly across lines of business and have it in use across two departments. We have different use cases and slightly different outcomes, but can unify our results based on impact to the bottom line. Finally, we can generate value from anywhere in the org for any stakeholders as needed.
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Return on Investment
Appian
  • I believe it has negatively impacted our release dates. There may have been a misunderstanding as to the learning curve, even though it is "low code."
  • The look and feel of the applications created using Appian have uniformity and it's easier to have "reuse" between applications.
  • There is less developer control when it comes to features. I think this mainly has to do with the amount of plugins available. I would think there should be many more available plugins. But again, our use case is probably different than most others.
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Optimizely
  • We're able to share definitive annualized revenue projections with our team, showing what would happen if we put a test into Production
  • Showing the results of a test on a new page or feature prior to full implementation on a site saves developer time (if a test proves the new element doesn't deliver a significant improvement.
  • Making a change via the WYSIWYG interface allows us to see multiple changes without developer intervention.
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ScreenShots

Appian Screenshots

Screenshot of Low-Code DevelopmentScreenshot of Business Process Management SuiteScreenshot of Dynamic Case ManagementScreenshot of Mobile App DevelopmentScreenshot of Appian RPA with Blue Prism

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.