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Personalization & Recommendation Engines

SaaS Browser tracks 145 Personalization & Recommendation Engines software companies, with 3 added in the past 30 days. The top countries for Personalization & Recommendation Engines SaaS include United States (21), United Kingdom (6), India (4).

Key Data Points for Personalization & Recommendation Engines

145
Total Software1
3
New (Past 30 Days)2
8
Affiliate Programs3
10
Median Age (Years)4
+58
New (Past 365 Days)5
33
Churned (Past Year)6
36.3%
Annual Churn Rate7
35.9%
Free Trial8

Company Size Distribution9

1
Enterprise (1,000+)
2.2% of total
1
Large (201-1,000)
2.2% of total
4
Mid-Size (51-200)
8.7% of total
40
Small (2-50)
87.0% of total

Most Established Personalization & Recommendation Engines Companies

Company Employees Domain Rating Founded Added
AddSearch 50 2013 2025-02-06
RichRelevance 1,000 2006 2025-02-07
Fit Finder 50 2010 2025-10-20
LimeSpot 50 2013 2025-02-06
Froomle 50 2016 2025-04-21
rek.ai 10 2018 2025-10-27
Nacelle 50 2019 2025-04-30
Easysize 50 2014 2025-02-05
yarpp 2025-03-14
Qloo 50 2012 2025-02-06

Top 10 Countries for Personalization & Recommendation Engines SaaS

The following countries represent where most Personalization & Recommendation Engines SaaS companies are headquartered, based on our data for 145 software products.

Country Count % of Total
United States 21 14.5%
United Kingdom 6 4.1%
India 4 2.8%
Estonia 3 2.1%
Canada 3 2.1%
Australia 3 2.1%
Singapore 3 2.1%
Germany 2 1.4%
United Arab Emirates 2 1.4%
Denmark 2 1.4%

SEO & Domain Authority for Personalization & Recommendation Engines

Median Domain Rating10
19
vs. overall median of 14

Pricing Data for Personalization & Recommendation Engines

Median Starting Price (USD)12
$12/mo
Median High Price (USD)13
$99/mo

Market Saturation for Personalization & Recommendation Engines

This score is computed from a combination of total products, domain authority, referring domains, company age, traffic growth, pricing, and enterprise presence.

Saturation Score14
59 / 100 (Medium)

Affiliate Programs in Personalization & Recommendation Engines

8 Personalization & Recommendation Engines SaaS companies offer affiliate programs (5.5% of total).

Median Commission15
23%
Commission Type Distribution
Recurring 2

Most Recently Added Personalization & Recommendation Engines SaaS

Ludexa Added 2026-09-06
TakeTen Added 2026-08-24
Lens Added 2026-08-15
WatchFrame Added 2026-08-12
Nomi Added 2026-08-02
Seliqor Added 2026-07-31
Hyp Added 2026-07-27
HoroJob Added 2026-07-26
RecaFlix Added 2026-07-17
Fragmatic Added 2026-07-14

Median Age of Personalization & Recommendation Engines SaaS Companies

The median Personalization & Recommendation Engines SaaS company was founded 10.0 years ago (median founding year: 2016).

B2B / B2C Breakdown for Personalization & Recommendation Engines16

51
Both B2B & B2C
35.2%
56
Business (B2B)
38.6%
38
Consumer (B2C)
26.2%

Based on 145 companies with consumer type data (100.0% of total).

SaaS Discovery Trend for Personalization & Recommendation Engines

Monthly SaaS discovery count for Personalization & Recommendation Engines compared to its share of all SaaS discovered. A rising percentage indicates this segment is growing faster than the overall market.

Discover Personalization & Recommendation Engines SaaS

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Category: Personalization & Recommendation Engines
Seliqor Logo

Seliqor

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This intelligent platform is designed to assist modern software buyers in making informed technology decisions by providing comprehensive comparisons, objective scoring, and reviews based on verified data points. It features tools for side-by-side evaluations, personalized recommendations through an AI matchmaker, curated lists, and detailed buying guides, helping users solve the problem of navigating complex software options quickly and confidently. It caters to IT professionals, decision-makers, and organizations seeking transparent, unbiased insights into various software tools to optimize their technology investments and streamline procurement processes.
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Qrato Logo

Qrato

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This intelligent entertainment discovery platform utilizes artificial intelligence to deliver personalized recommendations for movies, TV shows, and anime based on user mood, preferences, and viewing history, reducing the need for endless browsing and decision fatigue. Its key features include mood-based content matching, instant personalized suggestions, customizable filters by genre and era, watchlist and viewing history management, seamless cross-device synchronization, offline access, and privacy-centric data handling, making it ideal for viewers seeking tailored entertainment options without subscriptions, who want a quick, intuitive, and private way to find engaging content that aligns with their emotional state and interests.
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HoroJob Logo

HoroJob

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This application integrates personal birth-chart insights with public labor-market data and job-posting analysis to facilitate informed career decision-making, role discovery, and transition planning. It offers features such as individualized career blueprints, real-time job fit assessments, market context comparisons, and negotiation preparation tools, addressing challenges like role ambiguity, market uncertainty, and career alignment for professionals seeking strategic progress, career changers, and individuals interested in holistic, evidence-based career guidance.
Pricing: $4.99-$9.99/mo
The monthly pricing range for this SaaS product. Prices are normalized to monthly amounts where possible.
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FindTuner Logo
This solution enhances traditional search engines by integrating advanced AI and machine learning capabilities, enabling eCommerce platforms to deliver personalized and relevant search experiences. Key features include intelligent merchandising, real-time optimization based on shopper behavior, and comprehensive analytics that empower digital teams to align search outcomes with business objectives, ultimately driving engagement and revenue growth for retailers and brands.
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InfluenceOwl Logo
This personalization engine automatically customizes landing pages, product displays, and promotional offers based on UTM parameters, thereby enhancing user engagement and increasing conversion rates for eCommerce brands. Key features include effortless integration with hosted subdomains or JavaScript snippets, real-time dynamic content swapping without engineering support, and seamless compatibility with platforms like Shopify, Webflow, and custom websites, solving problems related to managing multiple landing pages, optimizing marketing efforts, and delivering highly relevant experiences to diverse customer segments. It is primarily designed for direct-to-consumer (D2C) brands, digital marketers, and advertising teams aiming to improve campaign performance and personalization without technical complexity.
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Jewel ML Logo
Jewel ML leverages AI-powered personalization to enhance e-commerce sales, offering a no-code solution that seamlessly integrates with existing platforms. With the potential to increase revenue by 5 to 15% within 30 days, the platform provides tailored product recommendations while ensuring user privacy and real-time inventory updates.
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Easysize Logo
A size and fit recommendation solution enhances the online shopping experience by helping customers find their ideal clothing and shoe sizes without requiring sensitive measurements or complex size charts. Key features include multilingual support, compatibility with various e-commerce platforms, and the ability to provide personalized recommendations based on individual preferences, ultimately addressing issues of sizing uncertainty, reducing return rates, and promoting sustainability in the fashion industry.
Pricing: $35-$375/mo
The monthly pricing range for this SaaS product. Prices are normalized to monthly amounts where possible.
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Zeniva Logo
This innovative tool enhances online shopping experiences by providing personalized content and intelligent product recommendations tailored to individual customer preferences. Key features include customizable avatars, monitored analytics for data-driven insights, and a streamlined credit management system, all designed to boost engagement, increase sales, and cater to the needs of small to medium-sized businesses looking to optimize their e-commerce platforms.
Pricing: $0-$100/mo
The monthly pricing range for this SaaS product. Prices are normalized to monthly amounts where possible.
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Pipeless Logo
Pipeless offers a powerful API designed to deliver real-time personalized recommendations and activity feeds for various applications, including social networks, e-commerce, and media platforms. With a focus on efficiency and flexibility, the platform enables users to quickly implement smart features without the need for extensive infrastructure or data engineering resources.
Pricing: $0-$960/mo
The monthly pricing range for this SaaS product. Prices are normalized to monthly amounts where possible.
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PlaylistAI Logo
This innovative platform utilizes artificial intelligence to generate personalized music playlists based on user preferences and contextual prompts. Key features include smart suggestions tailored to specific times and activities, the ability to create playlists from various genres, and unique music discovery options such as identifying songs from videos or generating playlists for music festivals, making it ideal for music enthusiasts seeking a tailored listening experience.
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Frequently Asked Questions

How many Personalization & Recommendation Engines SaaS companies are there?

SaaS Browser tracks 145 Personalization & Recommendation Engines software products as of September 2026. 3 new Personalization & Recommendation Engines SaaS companies have been added in the past 30 days.

How many new Personalization & Recommendation Engines SaaS companies are added each month?

3 new Personalization & Recommendation Engines SaaS companies have been added to SaaS Browser in the past 30 days. Our proprietary crawling infrastructure continuously discovers new software products.

What are the most established Personalization & Recommendation Engines SaaS companies?

The most established Personalization & Recommendation Engines SaaS companies by domain authority include AddSearch, RichRelevance, Fit Finder, LimeSpot, Froomle. These companies represent the highest domain rank scores in the Personalization & Recommendation Engines category.

What is the typical company size for Personalization & Recommendation Engines SaaS?

Among Personalization & Recommendation Engines SaaS companies with employee data, the size distribution is: - 1 (2.2%), - 1 (2.2%), - 4 (8.7%), - 40 (87.0%).

What is the median domain authority for Personalization & Recommendation Engines SaaS companies?

The median domain rating for Personalization & Recommendation Engines SaaS companies is 19, compared to an overall SaaS median of 14.

Which countries have the most Personalization & Recommendation Engines SaaS companies?

The top countries for Personalization & Recommendation Engines SaaS are: United States (21), United Kingdom (6), India (4), Estonia (3), Canada (3). These represent the largest concentrations of Personalization & Recommendation Engines software companies globally.

What percentage of Personalization & Recommendation Engines SaaS companies offer affiliate programs?

8 Personalization & Recommendation Engines SaaS companies offer affiliate programs, representing 5.5% of all Personalization & Recommendation Engines software tracked by SaaS Browser. The median commission rate is 23%.

What is the median age of Personalization & Recommendation Engines SaaS companies?

The median Personalization & Recommendation Engines SaaS company was founded 10.0 years ago, with a median founding year of 2016.

Are Personalization & Recommendation Engines SaaS companies mostly B2B or B2C?

Based on available data, Personalization & Recommendation Engines SaaS companies break down as follows: Both B2B & B2C (35.2%), Business (B2B) (38.6%), Consumer (B2C) (26.2%).

What are the newest Personalization & Recommendation Engines SaaS companies?

The most recently discovered Personalization & Recommendation Engines SaaS companies include Ludexa, TakeTen, Lens, WatchFrame, Nomi. SaaS Browser continuously discovers and indexes new software products using proprietary crawling infrastructure.

About SaaS Browser

SaaS Browser is the largest, most up-to-date SaaS database on the internet, the ultimate prospecting and research tool for SaaS companies.

We discover emerging tools weeks after launch, before they appear in Apollo, ZoomInfo, or other databases. Our purpose-built platform exclusively tracks real software products with verified data, unlike generic prospecting tools polluted with agencies, consultancies, and outdated listings.

From Fortune 500 enterprises to bootstrapped startups launching this week, if it's SaaS, we track it.

How these numbers are calculated

  1. Total Software. The number of published SaaS companies currently listed for this selection. Only companies that pass our automated quality checks are counted.
  2. New (Past 30 Days). The net number of SaaS companies newly published for this selection in the last 30 days.
  3. Affiliate Programs. The number of listed SaaS companies that operate a verified affiliate or referral program.
  4. Median Age (Years). The median age, in years, of companies in this selection, based on founding year. The median is the middle value, so half are older and half younger.
  5. New (Past 365 Days). The number of SaaS companies published for this selection over the last 365 days.
  6. Churned (Past Year). Companies published within the last year that are no longer listed - they went offline, were removed, or stopped passing our quality checks.
  7. Annual Churn Rate. The annual churn rate - churned companies as a percentage of all companies published in the last year (still-listed plus churned).
  8. Free Trial. The percentage of listed companies in this selection that offer a free trial.
  9. Company Size Distribution. Distribution of companies by employee count: solo (1), small (2–50), mid (51–200), large (201–1,000), enterprise (1,000+). Percentages are of companies with employee data.
  10. Median Domain Rating. The median domain rating (0–100) across listed companies, our measure of link authority. Higher is stronger. Shown against the overall median across all SaaS for comparison.
  11. Median Starting Price (USD). The median entry-level monthly price (USD) across companies in this selection with pricing data.
  12. Median High Price (USD). The median premium monthly price (USD) across companies in this selection with pricing data.
  13. Saturation Score. A 0–100 market saturation score combining total products, domain authority, referring domains, company age, traffic growth, pricing, and enterprise presence. Higher means more competitive.
  14. Median Commission. The median affiliate commission rate offered by companies in this selection that run an affiliate program.
  15. B2B / B2C Breakdown. Breakdown of companies by target market - business (B2B), consumer (B2C), or both - among those with consumer-type data.