Recommendation Engines: 7 companies to try in 2021



Recommendation engines, also known as personalization engines or recommendation software, help businesses recommend the right product or service to their customers based on prior customer behavior. A product must provide customized recommendations based on consumer data to be classified as a recommendation engine.

A recommender system is a type of information filtering system that attempts to estimate consumer tastes and make suggestions that may be of interest to customers. The use of suggestion is widespread in this technology-driven period.

Today, the adoption of these applications has grown to the point that businesses provide open-source tools as service recommender systems. Here, we are not talking only about product recommendations. However, we will be looking at B2B recommendation toolkit. It means that we will see 7 companies that analyze user data, process them, and provide recommendations based on the analyzed data. It includes product recommendation, user behavior analysis, A/B testing, and all the like.


1. Optimizely:

1 Recommendation Engines 7 companies to try Optimizely

Optimizely’s leading platform provides a full range of user interface enhancement tools, including AI-powered personalization and exploration (A/B testing, levels of functional, and server-side testing). The world’s most successful brands choose Optimizely to survive and win in the global economy.


Optimizely is the world’s leading experimentation tool, empowering companies to offer constant experimentation and personalization through blogs, mobile applications, and smart devices. I like how this app supports us in improving our website. It has features like AB testing that allow us to see what works and what doesn’t and make changes based on this knowledge. As a result, the user service improves, the conversion rates reduce, and so on.


Marketers, engineers, and product managers have provided over a billion experiences customized to their customers’ needs to date.


Key Features:

  • Optimizely allows companies to conduct experimental studies across their entire system stack and the entire consumer experience, through its recommendation engines.
  • Allows for A/B testing without the need for technical support.
  • Allows for continuous testing of messaging, images, and offers, which is something that any company can do.
  • Most of the time, it’s easy to manage simple tests.
  • Statistics are delivered in an easy-to-understand format for the general public.


2. Adobe Target:

2 Recommendation Engines 7 companies to try adobe target


It is easy to use due to its very simple functionality and features. In my view, one of the best methods for optimizing websites to run smoothly. It interacts well with Adobe Analytics, has a wide range of tools, advanced analytics technologies, and functionalities. Indeed, It is easy to use due to its simple UX design and features. It interacts well with Adobe Analytics.


Adobe Target is marketed as a “complete optimization solution” for advertisers who want to experiment easily and choose the best performing experiences for their audiences. It should be done at each stage of a customer’s path and have a stable user experience.


Key Features:

Experiment with various variations for your segments.

  • Adobe Sensei will automate product reviews, content, browse, and more.
  • Under Adobe Target, you can use your modeling methods and customize algorithms.
  • Use Adobe Analytics to synchronize the current results.


3. Qubit:

3 Recommendation Engines 7 companies to try in 2021 Qubit


Qubit is a user experience delivery tool that lets you appreciate visitor behavior and personalizes each phase of the customer journey through all digital platforms. It mainly facilitates data operations and is a feature-rich and market-focused solution for A/B research, analytics, and optimization. It is an expert in the three important areas of a great user experience: Experience Management, Information Management, and Analytics.


Qubit enables responsive targeting, which supports the efficient management of customer interactions at scale and helps to determine if a customer requires a new experience daily. 


Data can be added and extracted in real-time into the software’s consumer platform for higher results and market intelligence. Organizations may also avoid failure at some stage in the process by sending a targeted email to consumers.


Key Features:

  • Landing page optimization and abandonment recovery
  • Offer merchandise, mobile apps, and recommendations.
  • Personalization and preference targeting are two terms that are used interchangeably.
  • Visitor pulse and social media
  • Tag management and segmentation
  • Attribution marketing and mobile analytics


4. Evergage (acquired by Saleforce):

4 Recommendation Engines 7 companies to try Evergage


Evergage is a domain personalization tool for both large and small businesses. Keeping in mind the importance of connecting with your clients, Evergage offers some highly engaging and flexible tools that will enhance your customers’ experience on your website, resulting in higher conversion rates and on-site time.


Evergage analyzes consumer activity on the web and provides them with the most appropriate and responsive platforms, recognizing the variety of customers’ approaches to a market. As a result, your clients are more likely to use your product because they are getting just what they expect.


You can also check landing pages and create prompts based on user demographics, among other things. A comprehensive collection of analytics will also be available to help you in analyzing the effectiveness of your posts. Both of these can be achieved with former consumer groups as well as current customer segments. Customer service is committed and strong.


Key Features:

  • Audience segmentation and real-time quick response
  • Surfers’ behavioral tracking and one-on-one guidance
  • Platforms that are simple to construct and optimized for e-commerce
  • It used account-based marketing and optimization.


5. Dynamic Yield:

5 Recommendation Engines 7 companies to try in 2021 Dynamic Yield


Dynamic Yield is a personalization and interaction solution for companies and organizations that aim to boost revenue and increase customer interaction across the entire customer journey. It would automatically refine its content, ads, and full-page design, resulting in a high and growing sales yield, through its recommendation engines.


Dynamic Yield provides the framework that relies on personalization to boost customer experience during their journey and increase company sales. 


Businesses may use Dynamic Yield to utilize the potential of real-time personalization. Dynamic Yield allows you to optimize their consumers’ experiences, deliver customized notifications to convey feedback that is extremely important at the time, and enable customers to take your desired behavior based on personalized suggestions.


Key Features:

  • However, even among well-known technical solutions, it is difficult to find such a software product.
  • The most effective thing to do is to make a list of all of the relevant considerations that must be considered.
  • It has excellent features, pricing options, personnel skill capability, business size, and so on. Then you must do extensive research. 
  • Such thorough product testing ensures that you avoid wasting money on applications that aren’t a good match for your business.


6. Monetate:

6 Recommendation Engines 7 companies to try Monetate


Monetate is a full-service digital marketing platform. It is a one-stop-shop with all of the business’s optimization, personalization, and content marketing needs. The concept behind Monetate is to provide consumers with a strong online experience. 


Optimization is essential for the success of online content. Monetate divides the crowd into groups depending on their tastes. It categorizes them and classes them accordingly, allowing you to meet the needs of each group even more efficiently. Not just that, but when you build new forums for various groups, you can also analyze your plans using its dynamic analytics.


Monetate for Mobile Apps is another useful option. As a result, as consumers are attracted to new content regularly, the likelihood that they will continue to use the app increases. You will use the app to offer one-of-a-kind services to every client. Such dedicated programs help you to create long-term relationships with your visitors.


Key Features:

  • Also within commonly used technical systems, locating such a recommendation engines device is nearly impossible.
  • The demand inspection includes main features, packages, customer technical capacity capability, business size, and so on. Following that, you should conduct extensive product research.
  • Examine any of these Monetate research posts and thoroughly investigate the other tech solutions on your list. 
  • Such a thorough product review ensures that you drop unsuitable tech solutions and subscribe to one that provides all of the benefits that a business needs to be successful.


7. RichRelevance:

7 Recommendation Engines 7 companies to try in 2021 RichRelevance


RichRelevance is a leading cloud-based omnichannel personalization tool designed to assist retailers, B2B companies, financial services companies, travel and hospitality companies, and branded manufacturers in personalizing their consumer interactions.


Its recommendation engines is a game-changing approach with a strong personalization engine. The engine allows companies to create and offer customized consumer services through the lifecycle of their clients.


Furthermore, the engine supports powerful personalization capabilities that ensure the durability of customized interactions through online, in-store, smartphone, and other platforms. This leads to higher customer happiness and enjoyment, encouraging increased customer loyalty and deeper commitment.


Key Features:

  • Businesses may use the engine to create and offer customized consumer services.
  • Advanced machine learning is being used to constantly evaluate, calculate, and refine a wide range of parameters and algorithms.
  • Individualization and behavioral marketing are two terms that are used interchangeably.
  • Optimization of the website and development of a unified user profile
  • Retail ads and behavioral advice


Final Words:

Those were few recommendation engine platforms. If you are issued from a technical background, it may not be what you expected. Recommendation engines are not solely about product recommendations. You can learn more about how product recommendations work through this article I wrote about how to create a product recommendation tool with Python. 


In the above, we have a recommendation engine that includes a toolset of tools that analyzes data and provides recommendations. They are marketed as Customer Experience Management Software (CEMS). Those CEMS are essential in improving your customer experience and are good tools to recommend to companies that need to improve their user experience. Do you know any more tools like that, share them in the comment section down below,



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