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Recommendation Engine

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

Challengers Specialists Leader s Contenders Market Presence Momentum
Popularity
Satisfaction
Maturity
Pricing

Compare Recommendation Engines
Results: 1

AIMultiple is data driven. Evaluate 1 product based on comprehensive, transparent and objective AIMultiple scores. For any of our scores, click the imgicon to learn how it is calculated based on objective data.

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92.24
94
0
100
0
76.4
top5 , top10
top5 , top10
5star
Crab
4.60
100
0
0%
= 2 reviews
= 1 employee
= 1 visitor

Popularity

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 less concentrated in terms of top 3 companies' share of search queries. Top 3 companies receive 0% (70% less than average) of search queries in this area.

Web Traffic

Recommendation engine is a less concentrated than average solution category in terms of web traffic. Top 3 companies receive 0% (69% less than average solution category) of the online visitors on recommendation engine company websites.

Satisfaction

Recommendation engine is highly concentrated in terms of user reviews. Top 3 companies receive 100% (41% more than average solution category) of the reviews on recommendation engine company websites. Product satisfaction tends to be the same for more popular recommendation engine products. Average rating for top 3 products is 4.6 vs 4.6 for average recommendation engine product review.

Challengers Specialists Leader s Contenders Average Review Score Number of Reviews

Maturity

Number of Employees

Median number of employees that provide recommendation engine is 0 which is 44 less 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. 0 companies (49 less than average solution category) with >10 employees are offering recommendation engine. Top 3 products are developed by companies with a total of 0 employees.