AI Buyer Insights:

Michelin, an e2open customer evaluated Oracle Transportation Management

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Michelin, an e2open customer evaluated Oracle Transportation Management

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

List of Taboola Yusp Customers

loading spinner icon

Apply Filters For Customers

Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
12 Storeez Retail 1300 $40M Russia Taboola Taboola Yusp Personalization and Product Recommendations 2018 n/a
In 2018, 12 Storeez deployed Taboola Yusp on their website to provide site-level personalization and product discovery. The company implemented Taboola Yusp as a Personalization and Product Recommendations solution to support e-commerce merchandising, onsite product discovery, and personalized content feeds for online shoppers. The implementation focused on standard Personalization and Product Recommendations capabilities, with Taboola Yusp configured to deliver on-site recommendation widgets, product recommendation carousels, and personalized content streams. Configuration work centered on catalog ingestion, real-time scoring and session-based personalization, along with rule-based merchandising controls to influence recommendation sets. Operational integration was executed at the website layer, connecting Taboola Yusp to the product catalog via feed ingestion and front-end JavaScript widgets to render recommendations. Management and governance responsibilities were assigned to merchandising, e-commerce, and marketing teams, who used staged experiments and A B testing methodologies to validate recommendation variants and tune personalization rules.
12min Education 30 $5M Brazil Taboola Taboola Yusp Personalization and Product Recommendations 2018 n/a
In 2018, 12min implemented Taboola Yusp on its website to deliver personalized on-site recommendations. Taboola Yusp is used as 12min's Personalization and Product Recommendations solution, powering contextual recommendation widgets and content discovery experiences for readers. The deployment focused on recommendation engine capabilities, including candidate selection, content feed personalization, and configurable rule sets to support editorial curation alongside algorithmic suggestions. Deployment used a lightweight, web-centric architecture with client side recommendation widgets embedded in article pages and homepage placements, calling Taboola Yusp services for real time recommendation selection and scoring. Operational scope is centered on content, marketing, and product teams that manage taxonomy, tagging, editorial rules, and experimentation of recommendation logic. Governance followed a staged rollout approach with iterative tuning and A/B testing of recommendation configurations to align personalization behavior with editorial control and product requirements.
1440 Media Media 60 $25M United States Taboola Taboola Yusp Personalization and Product Recommendations 2019 n/a
In 2019, 1440 Media implemented Taboola Yusp on its website to deliver personalized content and recommendation experiences. The Taboola Yusp deployment aligns with the Personalization and Product Recommendations category and centers on on-site recommendation widgets, behavioral segmentation, and algorithmic content tailoring to support editorial-driven and automated recommendation flows. The implementation emphasized modular capabilities typical of Taboola Yusp, including client-side recommendation widgets, an administrative console for rule configuration and editorial overrides, and algorithmic personalization for user segments. Operational ownership was organized across editorial, product, and engineering teams, with rollout sequencing focused on homepage, article pages, and newsletter recommendation placements, and governance covering content policy, curation rules, and configuration management.
3 Sweden Communications 1100 $832M Sweden Taboola Taboola Yusp Personalization and Product Recommendations 2017 n/a
In 2017, 3 Sweden implemented Taboola Yusp as a Personalization and Product Recommendations solution on its public website to support digital marketing and on-site merchandising. The deployment focused on the consumer-facing tre.se domain, embedding Taboola Yusp recommendation modules into key pages to improve content and product discovery for site visitors. The implementation leveraged Taboola Yusp capabilities common to the Personalization and Product Recommendations category, including algorithmic recommendation scoring, user segmentation for personalized experiences, real-time recommendation delivery, and configurable merchandising rules. Configuration concentrated on homepage recommendation modules, article and product detail placements, and session based personalization logic to surface relevant plans and content. Technical integration was executed through front-end widget embedding and API driven content and product feeds to the website, enabling real-time recommendations and personalization decisions within page render flows. Operational ownership was assigned to digital marketing and eCommerce teams, with the solution scoped to on-site customer engagement rather than back office functions. Governance processes included ongoing tuning of recommendation models, creative and placement testing managed by marketing operations, and periodic reviews of personalization rules with privacy compliance oversight. Taboola Yusp served as the hosted personalization engine for 3 Sweden, aligning application configuration and operational workflows to the companys digital marketing and merchandising objectives.
99.Co Indonesia Construction and Real Estate 120 $10M Indonesia Taboola Taboola Yusp Personalization and Product Recommendations 2018 n/a
In 2018, 99.Co Indonesia implemented Taboola Yusp on its public website. The deployment uses Taboola Yusp to deliver targeted experiences under the Personalization and Product Recommendations category across property listing and content pages. Implementation centered on the Taboola Yusp recommendation engine, real-time personalization, and user segmentation capabilities. Configuration work focused on rule-based targeting, event and session scoring, and embedding on-page recommendation widgets that surface complementary listings and editorial content. Integration was executed at the website layer through client-side instrumentation and server-side event feeds to enable session-aware recommendations and real-time scoring. Operational coverage emphasized listing detail pages, search results, and content pages, with product management, marketing, and web engineering teams responsible for live targeting and experiment cadence. Governance established editorial controls for recommendation content, catalog alignment workflows, and a staged rollout process administered by engineering and growth teams to manage exposure and quality. Taboola Yusp functions as the central Personalization and Product Recommendations system powering on-site recommendation and personalization workflows for 99.Co Indonesia.
Retail 89 $24M Romania Taboola Taboola Yusp Personalization and Product Recommendations 2019 n/a
Media 300 $95M Germany Taboola Taboola Yusp Personalization and Product Recommendations 2018 n/a
Banking and Financial Services 400 $50M United Arab Emirates Taboola Taboola Yusp Personalization and Product Recommendations 2021 n/a
Oil, Gas and Chemicals 1867 $600M Chile Taboola Taboola Yusp Personalization and Product Recommendations 2019 n/a
Media 60 $7M United States Taboola Taboola Yusp Personalization and Product Recommendations 2018 n/a
Showing 1 to 10 of 989 entries

Buyer Intent: Companies Evaluating Taboola Yusp

ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Taboola Yusp. Gain ongoing access to real-time prospects and uncover hidden opportunities.

Discover Software Buyers actively Evaluating Enterprise Applications

Logo Company Industry Employees Revenue Country Evaluated
No data found
FAQ - APPS RUN THE WORLD Taboola Yusp Coverage

Taboola Yusp is a Personalization and Product Recommendations solution from Taboola.

Companies worldwide use Taboola Yusp, from small firms to large enterprises across 21+ industries.

Organizations such as Toyota Japan, Samsung Electronics South Korea, Robert Bosch and Aeon Japan are recorded users of Taboola Yusp for Personalization and Product Recommendations.

Companies using Taboola Yusp are most concentrated in Automotive, Manufacturing and Retail, with adoption spanning over 21 industries.

Companies using Taboola Yusp are most concentrated in Japan, South Korea and Germany, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Taboola Yusp across Americas, EMEA, and APAC.

Companies using Taboola Yusp range from small businesses with 0-100 employees - 38.52%, to mid-sized firms with 101-1,000 employees - 41.15%, large organizations with 1,001-10,000 employees - 16.68%, and global enterprises with 10,000+ employees - 3.64%.

Customers of Taboola Yusp include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified Taboola Yusp customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Personalization and Product Recommendations.