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

Innovators Specialists Leaders Challengers Market Presence Momentum
Popularity
Satisfaction
Maturity
Pricing
Country

Compare Recommendation Engines
Results: 13

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.

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91.88446193928914
94.00178727490959
0.030210750954451887
100
0.029365079365079365
72.82957442634144
top10
top5 , top10
4star
Qubit Pro
4.41
100%
0%
0%
= 100 reviews
= 5,000 employees
= 100,000 visitors

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.

88.61161923505252
90.66576509396802
7.250756056058893
96.22095190770068
0.01825396825396825
84.99575146607513
top5 , top10
top5 , top10
4star
Evergage
4.24
100%
0%
66%
= 100 reviews
= 5,000 employees
= 100,000 visitors

Evergage's real-time personalization and customer data platform (CDP) enables companies to leverage behavioral analytics and machine learning

85.9070512496913
86.64449742982367
100
88.98030375006572
0.1003968253968254
80.96769782904413
top5 , top10
top5 , top10
4star
Optimizely
4.31
58%
2%
100%
= 100 reviews
= 5,000 employees
= 100,000 visitors

Optimizely is the world's leading experimentation platform, empowering marketing and product teams to test, learn and deploy winning digital experiences

82.52095750726322
76.98624881641018
10.87613277194662
81.55217256830231
0.030753968253968256
72.93725372600788
top5 , top10
top5 , top10
4star
Monetate Intelligent Personalization Engine
4.49
30%
0%
100%
= 100 reviews
= 5,000 employees
= 100,000 visitors

Monetate is the world's most trusted experience optimization and 1-to-1 personalization platform.

68.28446903015319
69.39089955489483
0
73.67826827015155
4.444246031746032
64.34273742853307
top10
top5 , top10
4star
Adobe Target
3.97
33%
100%
0%
= 100 reviews
= 5,000 employees
= 100,000 visitors

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 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.

Web Traffic

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.

Satisfaction

Recommendation engine is highly concentrated than average in terms of user reviews. Top 3 companies receive 64% (6% more than average solution category) of the reviews on recommendation engine company websites. Product satisfaction tends to be slightly higher for more popular recommendation engine products. Average rating for top 3 products is 4.3 vs 4.2 for average recommendation engine product review.

Leaders Average Review Score Number of Reviews

Maturity

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.

IBM
adobe
episerver
Optimizely