Personalization & Recommendation Engines
SaaS Browser tracks 143 Personalization & Recommendation Engines software companies, with 3 added in the past 30 days. The top countries for Personalization & Recommendation Engines SaaS include United States (20), United Kingdom (6), Estonia (3).
Key Data Points for Personalization & Recommendation Engines
143
Total Software1
3
New (Past 30 Days)2
7
Affiliate Programs3
10
Median Age (Years)4
+64
New (Past 365 Days)5
51
Churned (Past Year)6
44.3%
Annual Churn Rate7
36.4%
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 Rank | Founded | Added |
|---|---|---|---|---|
| RichRelevance | 1,000 | 45 | 2006 | 2025-02-07 |
| yarpp | — | 44 | — | 2025-03-14 |
| AddSearch | 50 | 42 | 2013 | 2025-02-06 |
| SwiftERM | 50 | 39 | 2014 | 2025-02-12 |
| Fit Finder | 50 | 39 | 2010 | 2025-10-20 |
| LimeSpot | 50 | 38 | 2013 | 2025-02-06 |
| PlaylistAI | — | 37 | — | 2025-02-06 |
| Moneythor | 50 | 35 | 2013 | 2025-03-05 |
| Perzonalization | 10 | 34 | 2015 | 2025-02-26 |
| Qloo | 50 | 34 | 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 143 software products.
| Country | Count | % of Total |
|---|---|---|
| United States | 20 | 14.0% |
| United Kingdom | 6 | 4.2% |
| Estonia | 3 | 2.1% |
| India | 3 | 2.1% |
| Sweden | 3 | 2.1% |
| Canada | 3 | 2.1% |
| Australia | 3 | 2.1% |
| Singapore | 3 | 2.1% |
| United Arab Emirates | 2 | 1.4% |
| Germany | 2 | 1.4% |
SEO & Domain Authority for Personalization & Recommendation Engines
Median Domain Rank10
11
vs. overall median of 8
Median Referring Domains11
3
vs. overall median of 2
Pricing Data for Personalization & Recommendation Engines
Median Starting Price (USD)12
$11/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
7 Personalization & Recommendation Engines SaaS companies offer affiliate programs (4.9% of total).
Median Commission15
23%
Commission Type Distribution
Recurring
2
Most Recently Added Personalization & Recommendation Engines SaaS
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
50
Both B2B & B2C
35.0%
55
Business (B2B)
38.5%
38
Consumer (B2C)
26.6%
Based on 143 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.
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This solution enhances content discovery across various platforms by aggregating and enriching metadata, enabling universal search capabilities, and providing personalized recommendations. Key features include a robust recommendation engine, a promotion engine for targeted content marketing, and a retention engine designed to keep users engaged, addressing challenges faced by Pay TV operators, mobile operators, Smart TV providers, digital publishers, OTT providers, and broadcasters in a competitive entertainment landscape.
Personalization & Recommendation Engines
The category of this listing.
This solution leverages artificial intelligence to create customized web experiences for users, enhancing navigation and content discovery based on collective user behavior. Key features include automated personalization, dynamic navigation, and comprehensive analytics, which collectively address challenges such as high bounce rates and inefficient content management, making it ideal for public sector organizations, corporate websites, and intranets seeking to improve user engagement and streamline operations.
Personalization & Recommendation Engines
The category of this listing.
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.
Personalization & Recommendation Engines
The category of this listing.
Nacelle offers AI-driven personalization for ecommerce brands, transforming online stores into powerful growth engines. With intuitive merchandising and behavioral targeting, customers receive tailored shopping experiences that boost conversion rates and increase average order values.
Pricing:
$399/mo
The monthly pricing range for this SaaS product. Prices are normalized to monthly amounts where possible.
Personalization & Recommendation Engines
The category of this listing.
This intelligent personalization engine analyzes real-time customer behavior, preferences, and intent signals to shapeshift a storefront into an adaptive, context-aware shopping experience with AI-powered recommendations, dynamic product discovery, intelligent cross-sells and upsells, and dynamic pricing to maximize conversions and revenue. It provides features such as segment-based experiences, personalized discounts and offers, content personalization across collections, images, and text, email and SMS campaigns, A/B testing, advanced analytics, and seamless integrations with ecommerce and marketing stacks, solving problems like generic experiences, low engagement, cart abandonment, and poor retention for online retailers, ecommerce brands, D2C stores, and merchants seeking to maximize revenue and customer loyalty.
Pricing:
$150/mo
The monthly pricing range for this SaaS product. Prices are normalized to monthly amounts where possible.
Personalization & Recommendation Engines
The category of this listing.
This advanced search and personalization solution enhances eCommerce experiences by providing intelligent search capabilities, tailored product recommendations, and effective merchandising tools. Key features include advanced autocomplete, guided navigation, and actionable analytics, which collectively address challenges such as improving user engagement, increasing conversion rates, and optimizing product visibility for retailers and online businesses across various platforms.
Personalization & Recommendation Engines
The category of this listing.
RichRelevance
This SaaS is trending! We've detected monthly traffic growth.RichRelevance offers advanced personalization technology and solutions designed to enhance customer experiences across various industries, including retail, travel, and financial services. With a focus on omnichannel personalization, the platform leverages AI and big data to deliver tailored content, recommendations, and search functionalities, driving significant increases in conversion rates and overall revenue.
Personalization & Recommendation Engines
The category of this listing.
This innovative solution enhances eCommerce platforms by automating product enrichment and personalizing the shopping experience through advanced machine learning techniques. Key features include automated product descriptions, responsive shopping recommendations, and SEO optimization, all designed to improve customer engagement, streamline catalog management, and drive sales for online retailers.
Personalization & Recommendation Engines
The category of this listing.
Hypelist is a dynamic platform designed for organizing and sharing personal interests, allowing users to create curated lists of their favorite books, movies, music, and travel destinations. With AI-powered recommendations and advanced customization options, it enhances the discovery process, ensuring that every passion is easily accessible and tailored to individual tastes.
Personalization & Recommendation Engines
The category of this listing.
Emotify enhances websites by adding emotional intelligence, allowing visitors to engage more deeply with content through reactions and personalized story recommendations. This AI-powered tool boosts user interaction and provides valuable insights into audience engagement, making online experiences more meaningful and enjoyable.
Pricing:
$10/mo
The monthly pricing range for this SaaS product. Prices are normalized to monthly amounts where possible.
Personalization & Recommendation Engines
The category of this listing.
* Some or all parts of this page may be AI generated, so please verify any critical information independently.
Frequently Asked Questions
How many Personalization & Recommendation Engines SaaS companies are there?
SaaS Browser tracks 143 Personalization & Recommendation Engines software products as of July 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 RichRelevance, yarpp, AddSearch, SwiftERM, Fit Finder. 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 rank for Personalization & Recommendation Engines SaaS companies is 11, compared to an overall SaaS median of 8. These companies have a median of 3 referring domains.
Which countries have the most Personalization & Recommendation Engines SaaS companies?
The top countries for Personalization & Recommendation Engines SaaS are: United States (20), United Kingdom (6), Estonia (3), India (3), Sweden (3). These represent the largest concentrations of Personalization & Recommendation Engines software companies globally.
What percentage of Personalization & Recommendation Engines SaaS companies offer affiliate programs?
7 Personalization & Recommendation Engines SaaS companies offer affiliate programs, representing 4.9% 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 (35.0%), Business (B2B) (38.5%), Consumer (B2C) (26.6%).
What are the newest Personalization & Recommendation Engines SaaS companies?
The most recently discovered Personalization & Recommendation Engines SaaS companies include RecaFlix, Fragmatic, GiftWize, Podium, Kartos. 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
- Total Software. The number of published SaaS companies currently listed for this selection. Only companies that pass our automated quality checks are counted.
- New (Past 30 Days). The net number of SaaS companies newly published for this selection in the last 30 days.
- Affiliate Programs. The number of listed SaaS companies that operate a verified affiliate or referral program.
- 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.
- New (Past 365 Days). The number of SaaS companies published for this selection over the last 365 days.
- 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.
- Annual Churn Rate. The annual churn rate - churned companies as a percentage of all companies published in the last year (still-listed plus churned).
- Free Trial. The percentage of listed companies in this selection that offer a free trial.
- 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.
- Median Domain Rank. The median domain rank (0–100) across listed companies, a measure of search-engine authority. Higher is stronger. Shown against the overall median across all SaaS for comparison.
- Median Referring Domains. The median number of unique referring domains (distinct external sites linking to a company) across listed companies.
- Median Starting Price (USD). The median entry-level monthly price (USD) across companies in this selection with pricing data.
- Median High Price (USD). The median premium monthly price (USD) across companies in this selection with pricing data.
- 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.
- Median Commission. The median affiliate commission rate offered by companies in this selection that run an affiliate program.
- B2B / B2C Breakdown. Breakdown of companies by target market - business (B2B), consumer (B2C), or both - among those with consumer-type data.
