Algonomy Omnichannel Personalization vs. Optimizely Web Experimentation vs. Sitecore Search

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Algonomy Omnichannel Personalization
Score 3.1 out of 10
N/A
Algonomy (formerly Manthan-RichRelevance) is a customer engagement tool used primarily for omnichannel and eCommerce personalization. It is built for enterprise retail companies who want to personal web content, search features, and product recommendations in online stores. The Algonomy Personalization Graph (based on RichRelevance technology) aggregates key data such as customer behavior, content, context, and product information, to deliver the more relevant experience for each customer that…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
Sitecore Search
Score 9.0 out of 10
N/A
Sitecore Search (or Sitecore Discover, formerly Reflektion), is a customer centric personalization platform that optimizes customer experiences on an individual basis in real time.N/A
Pricing
Algonomy Omnichannel PersonalizationOptimizely Web ExperimentationSitecore Search
Editions & Modules
No answers on this topic
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Algonomy Omnichannel PersonalizationOptimizely Web ExperimentationSitecore Search
Free Trial
NoYesYes
Free/Freemium Version
NoNoNo
Premium Consulting/Integration Services
YesYesNo
Entry-level Setup FeeNo setup feeOptionalNo setup fee
Additional Details
More Pricing Information
Community Pulse
Algonomy Omnichannel PersonalizationOptimizely Web ExperimentationSitecore Search
Features
Algonomy Omnichannel PersonalizationOptimizely Web ExperimentationSitecore Search
Testing and Experimentation
Comparison of Testing and Experimentation features of Product A and Product B
Algonomy Omnichannel Personalization
-
Ratings
Optimizely Web Experimentation
8.0
163 Ratings
5% below category average
Sitecore Search
-
Ratings
a/b experiment testing00 Ratings9.0163 Ratings00 Ratings
Split URL testing00 Ratings8.5135 Ratings00 Ratings
Multivariate testing00 Ratings8.4139 Ratings00 Ratings
Multi-page/funnel testing00 Ratings7.9126 Ratings00 Ratings
Cross-browser testing00 Ratings8.197 Ratings00 Ratings
Mobile app testing00 Ratings8.175 Ratings00 Ratings
Test significance00 Ratings8.4147 Ratings00 Ratings
Visual / WYSIWYG editor00 Ratings8.1133 Ratings00 Ratings
Advanced code editor00 Ratings8.0125 Ratings00 Ratings
Page surveys00 Ratings6.217 Ratings00 Ratings
Visitor recordings00 Ratings8.418 Ratings00 Ratings
Preview mode00 Ratings7.6145 Ratings00 Ratings
Test duration calculator00 Ratings7.9112 Ratings00 Ratings
Experiment scheduler00 Ratings8.2112 Ratings00 Ratings
Experiment workflow and approval00 Ratings7.890 Ratings00 Ratings
Dynamic experiment activation00 Ratings7.574 Ratings00 Ratings
Client-side tests00 Ratings7.896 Ratings00 Ratings
Server-side tests00 Ratings7.250 Ratings00 Ratings
Mutually exclusive tests00 Ratings8.180 Ratings00 Ratings
Audience Segmentation & Targeting
Comparison of Audience Segmentation & Targeting features of Product A and Product B
Algonomy Omnichannel Personalization
-
Ratings
Optimizely Web Experimentation
8.2
152 Ratings
7% below category average
Sitecore Search
-
Ratings
Standard visitor segmentation00 Ratings8.4147 Ratings00 Ratings
Behavioral visitor segmentation00 Ratings7.7122 Ratings00 Ratings
Traffic allocation control00 Ratings9.1144 Ratings00 Ratings
Website personalization00 Ratings7.8111 Ratings00 Ratings
Results and Analysis
Comparison of Results and Analysis features of Product A and Product B
Algonomy Omnichannel Personalization
-
Ratings
Optimizely Web Experimentation
8.3
149 Ratings
4% below category average
Sitecore Search
-
Ratings
Heatmap tool00 Ratings9.313 Ratings00 Ratings
Click analytics00 Ratings8.833 Ratings00 Ratings
Scroll maps00 Ratings8.517 Ratings00 Ratings
Form fill analysis00 Ratings8.072 Ratings00 Ratings
Conversion tracking00 Ratings8.744 Ratings00 Ratings
Goal tracking00 Ratings8.2127 Ratings00 Ratings
Test reporting00 Ratings7.9137 Ratings00 Ratings
Results segmentation00 Ratings7.7103 Ratings00 Ratings
CSV export00 Ratings7.9102 Ratings00 Ratings
Experiments results dashboard00 Ratings8.049 Ratings00 Ratings
Best Alternatives
Algonomy Omnichannel PersonalizationOptimizely Web ExperimentationSitecore Search
Small Businesses
Bloomreach
Bloomreach
Score 9.0 out of 10
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Score 9.9 out of 10
Yext
Yext
Score 7.8 out of 10
Medium-sized Companies
Dynamic Yield
Dynamic Yield
Score 9.0 out of 10
Dynamic Yield
Dynamic Yield
Score 9.0 out of 10
Guru
Guru
Score 9.4 out of 10
Enterprises
Dynamic Yield
Dynamic Yield
Score 9.0 out of 10
Dynamic Yield
Dynamic Yield
Score 9.0 out of 10
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Guru
Score 9.4 out of 10
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User Ratings
Algonomy Omnichannel PersonalizationOptimizely Web ExperimentationSitecore Search
Likelihood to Recommend
-
(0 ratings)
8.7
(253 ratings)
9.0
(2 ratings)
Likelihood to Renew
-
(0 ratings)
9.5
(51 ratings)
-
(0 ratings)
Usability
-
(0 ratings)
10.0
(58 ratings)
-
(0 ratings)
Availability
-
(0 ratings)
10.0
(7 ratings)
-
(0 ratings)
Performance
-
(0 ratings)
7.3
(6 ratings)
-
(0 ratings)
Support Rating
-
(0 ratings)
10.0
(16 ratings)
-
(0 ratings)
Online Training
-
(0 ratings)
3.0
(1 ratings)
-
(0 ratings)
Implementation Rating
-
(0 ratings)
8.0
(11 ratings)
-
(0 ratings)
Configurability
-
(0 ratings)
6.0
(1 ratings)
-
(0 ratings)
Product Scalability
-
(0 ratings)
8.0
(162 ratings)
-
(0 ratings)
User Testimonials
Algonomy Omnichannel PersonalizationOptimizely Web ExperimentationSitecore Search
Likelihood to Recommend
Algonomy (Manthan-RichRelevance)
No answers on this topic
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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Sitecore
Reflektion is very well suited for ecommerce sites that are looking to provide their customers meaningful product recommendations tailored to their specific user experience on our site. We are also beginning to use Reflektion for search results. If you find that your customer base uses your search bar or is having issues with their search experience, Reflektion offers a great auto complete search results feature. We have a sister site that only offers a small catalog of products and we do no use the auto search results feature on this site. If your company has a small catalog the search results tool may not be as effective. I cannot think of a scenario in which an ecommerce site would not find it helpful to provide customized product recommendations to their customers.
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Pros
Algonomy (Manthan-RichRelevance)
No answers on this topic
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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Sitecore
  • Reflektion provides individualized results based off each customer's unique browse experience on the site. This is beneficial because it gets more accurate results than segmenting customers by certain behaviors consistent with other customers.
  • Reflektion is responsive to our business. They treat each request with professionalism and work to find solutions quickly.
  • Reflektion has several beneficial features to further enhance the customer experience through a learning environment. Reflektion learns synonyms and is able to adjust for more accurate results. They also provide full page results with faceted navigation which leverages the individualized learning into the product results specific for each customer in a seamless integration with the site.
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Cons
Algonomy (Manthan-RichRelevance)
No answers on this topic
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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Sitecore
  • While I mentioned that training our team in using the Reflektion dashboard was quite pain free, the dashboard can get a little overwhelming to a first time user. There are a lot of options and customization features available that can be intimidating at first.
  • There isn't really too much for us to criticize with Reflektion. As I said, we switched from another product to Reflektion and so far have had almost no issues. When they do come up, the Reflektion team has been very helpful.
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Likelihood to Renew
Algonomy (Manthan-RichRelevance)
No answers on this topic
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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Sitecore
No answers on this topic
Usability
Algonomy (Manthan-RichRelevance)
No answers on this topic
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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Sitecore
No answers on this topic
Reliability and Availability
Algonomy (Manthan-RichRelevance)
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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Sitecore
No answers on this topic
Performance
Algonomy (Manthan-RichRelevance)
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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Sitecore
No answers on this topic
Support Rating
Algonomy (Manthan-RichRelevance)
No answers on this topic
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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Sitecore
No answers on this topic
Online Training
Algonomy (Manthan-RichRelevance)
No answers on this topic
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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Sitecore
No answers on this topic
Implementation Rating
Algonomy (Manthan-RichRelevance)
No answers on this topic
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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Sitecore
No answers on this topic
Alternatives Considered
Algonomy (Manthan-RichRelevance)
No answers on this topic
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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Sitecore
Reflektion is a very cost-effective, complete solution providing individualization for preview search, product recommendations, full page search, and content. Compared to the other services they offered more features utilizing SOLR results but with continued learning. Other services didn't have the full list of capabilities or were much more expensive.
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Scalability
Algonomy (Manthan-RichRelevance)
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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Sitecore
No answers on this topic
Return on Investment
Algonomy (Manthan-RichRelevance)
No answers on this topic
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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Sitecore
  • Increasing conversion rate is almost always the goal when we start a new project and it is safe to say that Reflektion has helped us increase conversion rate for customers clicking through product recommendations.
  • With our previous recommendations engine, tweaking and customizing the recommendations on our site was not nearly as effective or easy as it is with Reflektion. This has saved us countless hours in dev and manual operations work.
  • We have not seen any negative impacts of Reflektion and hope this continues.
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ScreenShots

Algonomy Omnichannel Personalization Screenshots

Screenshot of Capture shopper attributes and preferencesScreenshot of Personalized search preview and auto-complete suggestionsScreenshot of No-code build your own strategy in 3 clicksScreenshot of Set custom dynamic experiences

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.

Sitecore Search Screenshots

Screenshot of Screenshot of Product MerchandisingScreenshot of Instant Visual Search