List of Taboola Yusp Customers
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Since 2010, our global team of researchers has been studying Taboola Yusp customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Taboola Yusp for Personalization and Product Recommendations from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Taboola Yusp for Personalization and Product Recommendations include: Toyota Japan, a Japan based Automotive organisation with 383853 employees and revenues of $314.00 billion, Samsung Electronics South Korea, a South Korea based Manufacturing organisation with 262647 employees and revenues of $206.82 billion, Samsung Electronics South Korea, a South Korea based Manufacturing organisation with 262647 employees and revenues of $206.41 billion, Robert Bosch, a Germany based Manufacturing organisation with 429000 employees and revenues of $105.01 billion, Aeon Japan, a Japan based Retail organisation with 600000 employees and revenues of $61.60 billion and many others.
Contact us if you need a completed and verified list of companies using Taboola Yusp, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Taboola Yusp customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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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.
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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.
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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.
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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.
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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.
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Retail | 89 | $24M | Romania | Taboola | Taboola Yusp | Personalization and Product Recommendations | 2019 | n/a |
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Media | 300 | $95M | Germany | Taboola | Taboola Yusp | Personalization and Product Recommendations | 2018 | n/a |
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Banking and Financial Services | 400 | $50M | United Arab Emirates | Taboola | Taboola Yusp | Personalization and Product Recommendations | 2021 | n/a |
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Oil, Gas and Chemicals | 1867 | $600M | Chile | Taboola | Taboola Yusp | Personalization and Product Recommendations | 2019 | n/a |
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Media | 60 | $7M | United States | Taboola | Taboola Yusp | Personalization and Product Recommendations | 2018 | n/a |
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Buyer Intent: Companies Evaluating Taboola Yusp
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