Recommendation engines also called personalization engines or recommendation software, help companies recommend the right product or service to their customers based on historical customer behavior.
To be categorized as a recommendation engine, a product must be able to make personalized recommendations based on customer data
Compare Recommendation Engines
AIMultiple is data driven. Evaluate 13 products based on comprehensive, transparent and objective AIMultiple scores. For any of our scores, click the icon to learn how it is calculated based on objective data.
Qubit Pro's enterprise-grade data processing and open ecosystem allow personalization to solve some of the biggest marketing and business challenges. Bring together multiple data sources in real-time to create contextual and relevant 1:1 personalizations.
Evergage's real-time personalization and customer data platform (CDP) enables companies to leverage behavioral analytics and machine learning
Optimizely is the world's leading experimentation platform, empowering marketing and product teams to test, learn and deploy winning digital experiences
Monetate Intelligent Personalization Engine
Monetate is the world's most trusted experience optimization and 1-to-1 personalization platform.
Searches with brand name
These are the number of queries on search engines which include the brand name of the product. Compared to other product based solutions, recommendation engine is more concentrated in terms of top 3 companies' share of search queries. Top 3 companies receive 89% (10% more than average) of search queries in this area.
Recommendation engine is a highly concentrated solution category in terms of web traffic. Top 3 companies receive 91% (14% more than average solution category) of the online visitors on recommendation engine company websites.
Number of Employees
Median number of employees that provide recommendation engine is 155 which is 92
more than the median number of employees for the average solution category.
In most cases, companies need at least 10 employees to serve other businesses with a proven tech product or service. 11 companies (37 less than average solution category) with >10 employees are offering recommendation engine. Top 3 products are developed by companies with a total of 501-1,000 employees. However, all of these top 3 companies have multiple products so only a portion of this workforce is actually working on these top 3 products.