Personalization Engine

Personalization engines allow companies to personalize marketing, sales and other aspects of customer experience to optimize a company's relationship with each customer. If we take a website as an example, the layout, use of colors, messages on the page, promotions and products showcased on the page can be personalized to increase sales.

Since the 90s, it became clear that companies have the necessary capacity and technology to go beyond the traditional segmentation approaches that segmented customers into a few buckets. Today, companies universally aim to serve each customer with a customized approach designed to optimize the company's relationship with the customer.

Personalization pays off. For example, personalized recommendations account for 74% content watched on Netflix according to McKinsey&Company.

Personalization solutions typically leverage machine learning algorithms such as collaborative filtering which relies on the choices of similar individuals. Due to constraints of specific personalization applications such as scarcity of feedback, time sensitivity, managing a dynamic catalogue and a dynamic user base, companies test different approaches in this field including multi-armed bandits and other new approaches

To be effective, personalization solutions need to have access to data on the experiments performed and their results so they can improve based on the available data. To achieve this, personalization solutions integrate with analytics software as well as software that manages interaction with customers.

Personalization is also called individualization, one-to-one (1-1) marketing or segment of one. Personalization engines are also called personalization systems or personalization software

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

Compare Personalization Engines
Results: 32

AIMultiple is data driven. Evaluate 32 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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92.23131660526316
94.00167166294999
0.030210750954451887
100
0.02551134737836431
76.29812108608158
top10
4star
Qubit Pro
4.41
100%
0%
1%
= 20 reviews
= 10 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.

88.60938725693933
89.01338232049444
7.250756056058893
94.46317434750944
0.015858405127091326
84.9734316849433
top10
top10
4star
Evergage
4.24
100%
0%
100%
= 20 reviews
= 10 employees
= 100,000 visitors

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

85.8947753700688
86.45586829642987
100
88.78005495700415
0.0872212281990023
80.84493903281903
top5 , top10
top5 , top10
4star
Optimizely
4.31
100%
0%
100%
= 20 reviews
= 10 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

82.51719710935514
83.58581348295826
10.87613277194662
88.57311485196284
0.02671796515977343
72.89964974692707
top5 , top10
top10
4star
Monetate Intelligent Personalization Engine
4.33
100%
0%
100%
= 20 reviews
= 10 employees
= 100,000 visitors

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

66.05054684752291
66.72630711055862
0
70.98459689921386
0.02620084325345524
59.968704480201495
top10
4star
Sailthru Experience Center
4.18
100%
0%
0%
= 20 reviews
= 10 employees
= 100,000 visitors

Sailthru is the first truly proactive marketing automation platform designed to optimize the digital experience for individual customers and for brand revenue

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, personalization engine is less concentrated in terms of top 3 companies' share of search queries. Top 3 companies receive 64% (14% less than average) of search queries in this area.

Web Traffic

Personalization engine is a less concentrated than average solution category in terms of web traffic. Top 3 companies receive 72% (6% less than average solution category) of the online visitors on personalization engine company websites.

Satisfaction

Personalization engine is highly concentrated than average in terms of user reviews. Top 3 companies receive 60% (2% more than average solution category) of the reviews on personalization engine company websites. Product satisfaction tends to be slightly higher for more popular personalization engine products. Average rating for top 3 products is 4.3 vs 4.2 for average personalization engine product review.

Leaders Average Review Score Number of Reviews

Maturity

Number of Employees

Median number of employees that provide personalization engine is 110 which is 50 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. 26 companies (22 less than average solution category) with >10 employees are offering personalization 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
Oracle
zetaglobal
acquia