List of Optimizely Recommendations Customers
Optimizely (formerly Episerver)
119 5th Ave 7th floor,
New York, 10003, NY,
United States
New York, 10003, NY,
United States
1 603-594-0249
Professional Services
1500
$425M
Since 2010, our global team of researchers has been studying Optimizely Recommendations 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 Optimizely Recommendations 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 Optimizely Recommendations for Personalization and Product Recommendations include: lyondellbasell US, a United States based Oil, Gas and Chemicals organisation with 19300 employees and revenues of $50.45 billion, Takeda, a Japan based Life Sciences organisation with 47455 employees and revenues of $30.24 billion, Vattenfall, a Sweden based Utilities organisation with 20000 employees and revenues of $22.64 billion, Novartis United States, a United States based Life Sciences organisation with 12603 employees and revenues of $21.15 billion, Arla Foods, a Denmark based Consumer Packaged Goods organisation with 20907 employees and revenues of $14.95 billion and many others.
Contact us if you need a completed and verified list of companies using Optimizely Recommendations, 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 Optimizely Recommendations 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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313@somerset | Consumer Packaged Goods | 10 | $2M | Singapore | Optimizely | Optimizely Recommendations | Personalization and Product Recommendations | 2022 | n/a |
In 2022, 313@somerset implemented Optimizely Recommendations to add an on-site personalization layer, aligning the deployment with the Personalization and Product Recommendations category. The Optimizely Recommendations deployment is focused on web storefront product discovery and merchandising workflows for the retailer's public website.
Configuration centered on catalog-driven recommenders, model-driven suggestion slots, and business rule controls for merchandising priority. The implementation included setup of recommendation widgets on product detail pages and category pages, tuning of recommendation logic for product affinity, and readiness for A/B testing of recommendation placements.
Integrations were limited to embedding Optimizely Recommendations into the ecommerce storefront, connecting to the product catalog feed, and streaming click and conversion events into onsite analytics for monitoring. Operational ownership sits with merchandising and marketing functions, with governance processes established for rule approvals, content review, and merchandising overrides to control recommendation behavior.
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Adage Technologies | Professional Services | 100 | $10M | United States | Optimizely | Optimizely Recommendations | Personalization and Product Recommendations | 2023 | n/a |
In 2023, Adage Technologies implemented Optimizely Recommendations on its public website. The deployment uses Optimizely Recommendations in the Personalization and Product Recommendations category to deliver algorithmic product suggestions and configurable merchandising controls for site merchandising and digital marketing functions.
The implementation follows a cloud SaaS pattern, with client side instrumentation embedding Optimizely Recommendations into product detail and listing pages, combining algorithmic recommendation models with manual rule sets and merchandising overrides. Operational ownership is centered in digital marketing and merchandising teams, and the rollout was staged across site zones with editorial governance applied to recommendation taxonomies and rule configuration. Telemetry from Optimizely Recommendations is used to monitor placement performance and tune model and rule parameters over time.
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ADM Brazil | Consumer Packaged Goods | 5000 | $4.0B | Brazil | Optimizely | Optimizely Recommendations | Personalization and Product Recommendations | 2022 | n/a |
In 2022, ADM Brazil deployed Optimizely Recommendations on its public website. Optimizely Recommendations is implemented as the Personalization and Product Recommendations layer to surface product suggestions and personalized merchandising across ADM Brazil’s digital storefront.
The deployment uses a cloud delivered recommendation service embedded in site pages and driven by API decisioning, enabling product recommendation rails, context aware suggestions, and rule based merchandising controls typical for the category. The Optimizely Recommendations implementation exposes console based configuration for merchandising and content teams, supporting catalog driven recommendation strategies and segmentation oriented targeting.
Operational responsibility is concentrated in e-commerce, digital marketing, and merchandising functions on the ADM Brazil website, with those teams using the Optimizely Recommendations management interfaces to configure rules, targeting, and creative placements. Governance is centered on ongoing configuration and editorial control rather than platform integration work, aligning the Personalization and Product Recommendations capability to site level commerce and marketing workflows.
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ADM EMEA | Consumer Packaged Goods | 300 | $600M | Switzerland | Optimizely | Optimizely Recommendations | Personalization and Product Recommendations | 2022 | n/a |
In 2022, ADM EMEA deployed Optimizely Recommendations on its website. The implementation targets Personalization and Product Recommendations for ADM EMEA's consumer-facing digital storefront to improve product discovery and merchandising.
Optimizely Recommendations was configured to deliver algorithmic product suggestions alongside business-rule driven placements, enabling on-page recommendation slots such as related items and cross-sell opportunities. Configuration work focused on model selection, ranking rules, and placement controls to align recommendation behavior with category strategies and merchandising priorities.
The solution is integrated with the ADM EMEA website and commerce front end to serve contextual recommendations in real time, supporting product listing pages and product detail pages. Operational scope is concentrated on the ADM EMEA consumer-facing site, with e-commerce, marketing, and category management teams coordinating content, rule updates, and ongoing tuning.
Governance emphasizes editorial controls and testing workflows, assigning merchandising teams responsibility for rule-based overrides and technical teams responsibility for model tuning and deployment. Rollout occurred on the consumer-facing website within the ADM EMEA scope, and ongoing operations center on continuous tuning of recommendation logic to reflect assortment and promotional calendars.
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ADM Neovia Mexico | Consumer Packaged Goods | 120 | $10M | Mexico | Optimizely | Optimizely Recommendations | Personalization and Product Recommendations | 2022 | n/a |
In 2022 ADM Neovia Mexico implemented Optimizely Recommendations on their website, adopting an application in the Personalization and Product Recommendations category to-drive on-site product discovery and tailored content exposures. The deployment targets the company website operated for its Mexico audience and aligns with consumer packaged goods merchandising and digital marketing priorities.
The implementation centers on Optimizely Recommendations core capabilities, including algorithmic product recommendations, rule-based merchandising, recommendation widget configuration, and real-time behavioral scoring. Configuration work emphasized catalog ingestion and recommendation placement, with templates for category pages, product detail pages, and contextual content slots, while the Optimizely Recommendations administrative interface was used to manage models and merchandising rules.
Technical integration was executed through website instrumentation and product catalog feeds, enabling the recommendation engine to consume behavioral events and catalog metadata to generate ranked suggestions. Operational coverage spans digital marketing, e-commerce content management, and merchandising workflows, with recommendations surfaced across commerce and content areas on the public site.
Governance was structured around centralized configuration in the Optimizely Recommendations console, with merchandising teams maintaining rule sets and marketing teams using A B testing and targeting controls for iterative validation. The implementation established a repeatable process for updating recommendation logic and placements through the Optimizely UI to support ongoing personalization efforts.
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Consumer Packaged Goods | 200 | $25M | Netherlands | Optimizely | Optimizely Recommendations | Personalization and Product Recommendations | 2022 | n/a |
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Healthcare | 38 | $5M | United States | Optimizely | Optimizely Recommendations | Personalization and Product Recommendations | 2022 | n/a |
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Banking and Financial Services | 10 | $1M | United States | Optimizely | Optimizely Recommendations | Personalization and Product Recommendations | 2022 | n/a |
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Life Sciences | 1300 | $358M | Australia | Optimizely | Optimizely Recommendations | Personalization and Product Recommendations | 2021 | n/a |
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Manufacturing | 600 | $80M | Brazil | Optimizely | Optimizely Recommendations | Personalization and Product Recommendations | 2022 | n/a |
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Showing 1 to 10 of 382 entries
Buyer Intent: Companies Evaluating Optimizely Recommendations
ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Optimizely Recommendations. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Optimizely Recommendations for Personalization and Product Recommendations include:
- Hg Capital US, a United States based Banking and Financial Services organization with 280 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated |
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Hg Capital US | Banking and Financial Services | 280 | $50M | United States | 2024-06-26 |
FAQ - APPS RUN THE WORLD Optimizely Recommendations Coverage
Optimizely Recommendations is a Personalization and Product Recommendations solution from Optimizely.
Companies worldwide use Optimizely Recommendations, from small firms to large enterprises across 21+ industries.
Organizations such as lyondellbasell US, Takeda, Vattenfall, Novartis United States and Arla Foods are recorded users of
Optimizely Recommendations for Personalization and Product Recommendations.
Companies using Optimizely Recommendations are most concentrated in Oil, Gas and Chemicals, Life Sciences and Utilities, with adoption spanning over 21 industries.
Companies using Optimizely Recommendations are most concentrated in United States, Japan and Sweden, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Optimizely Recommendations across Americas, EMEA, and APAC.
Companies using Optimizely Recommendations range from small businesses with 0-100 employees - 46.86%, to mid-sized firms with 101-1,000 employees - 35.86%, large organizations with 1,001-10,000 employees - 14.66%, and global enterprises with 10,000+ employees - 2.62%.
Customers of Optimizely Recommendations 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 Optimizely Recommendations 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.