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Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Michelin, an e2open customer evaluated Oracle Transportation Management

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

List of Perzonalization Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
Active Health Australia Leisure and Hospitality 8 $1M Australia Perzonalization Perzonalization Personalization and Product Recommendations 2019 n/a
In 2019, Active Health Australia implemented Perzonalization on its public website. The deployment uses Perzonalization to deliver onsite product recommendations and personalized content, aligned with the Personalization and Product Recommendations category and supporting marketing and merchandising workflows on gymandfitness.com.au. The implementation is a site level deployment that relies on a client side JavaScript tag and Perzonalization recommendation widgets to ingest onsite behavioral events and catalog metadata, enabling personalized product recommendations within product lists and category pages. Functional capabilities implemented include personalized recommendations, onsite merchandising controls, segmentation and rule based campaigns configured through the vendor console, and content targeting via the platform visual editor. Operational coverage is focused on the ecommerce storefront and it supports marketing and merchandising business functions, with governance executed by the site owner and marketing staff through console level campaign management and visual configuration.
Alexia Admor French Designer Retail 10 $1M United States Perzonalization Perzonalization Personalization and Product Recommendations 2019 n/a
In 2019, Alexia Admor French Designer implemented Perzonalization on its ecommerce website. The Perzonalization deployment aligns with the Personalization and Product Recommendations category and is applied to the public storefront to deliver onsite product recommendations and personalized content for web visitors. The implementation is scoped to the company website catalog and checkout touchpoints rather than broader enterprise systems, reflecting the vendor integration at the site level. Perzonalization was provisioned via the vendor control panel and site tag, enabling rule-based and behavior-driven recommendations, catalog-aware merchandising rules, and real-time session targeting. Operational ownership is with the ecommerce and merchandising functions, who manage campaign rules, product feed mappings, segmentation workflows, and site-level configuration. The deployment emphasizes catalog-aware recommendations, onsite behavioral personalization, and analytics instrumentation typical of Personalization and Product Recommendations solutions.
Black Clover Enterprises Distribution 16 $2M United States Perzonalization Perzonalization Personalization and Product Recommendations 2021 n/a
In 2021, Black Clover Enterprises implemented Perzonalization on its public website to enable on-site targeting. Perzonalization is used to provide Personalization and Product Recommendations for the company's e-commerce merchandising and customer experience functions, and the deployment is explicitly scoped to the web storefront and shopper interactions captured on site. The implementation configures Perzonalization modules for on site product recommendations, behavioral targeting, campaign orchestration, and analytics configuration, with rule based merchandising and audience segmentation managed through the vendor console. Technical deployment is consistent with category norms, relying on a site instrumention snippet and product catalog feeds to render recommendations in real time and to collect behavioral signals. Operational ownership is centered in the marketing and e-commerce merchandising function, which configures campaigns and recommendation rules and governs content rollout across product and category pages.
California Pak, LLC Retail 30 $5M United States Perzonalization Perzonalization Personalization and Product Recommendations 2019 n/a
In 2019, California Pak, LLC implemented Perzonalization on its ecommerce website. Perzonalization serves as the company’s Personalization and Product Recommendations solution and is embedded directly into the storefront to deliver onsite product recommendations and behavioral personalization. The deployment centers on a client-side integration that injects recommendation widgets and personalization scripts into product, category, and cart pages, enabling product recommendations, related items, and session-based merchandising workflows. Operational ownership rests with ecommerce and marketing functions, with configuration focused on campaign segmentation, rule-based recommendation sets, and front-end personalization controls managed through Perzonalization’s SaaS management interfaces.
Defacto Retail 15000 $1.0B Turkey Perzonalization Perzonalization Personalization and Product Recommendations 2019 n/a
In 2019, Defacto deployed Perzonalization on its website. The deployment uses Perzonalization in the Personalization and Product Recommendations category to deliver on site personalized product discovery and merchandising at points of browse and purchase. The implementation focuses on the online storefront where recommendations and contextual content are surfaced to shoppers. Perzonalization was configured to run real time recommendation algorithms, behavioral segmentation, dynamic product recommendations and rule based merchandising controls, aligning recommendation logic with product attributes and user behavior. Functional capabilities implemented include product detail page recommendations, category page sorting signals, personalized promotional banners and A/B testing of recommendation strategies. The configuration emphasizes automated model selection and campaign orchestration to adjust recommendations without front end code changes. Operationally the solution integrates with the website front end and the product catalog feed to ingest SKU, inventory and event streams for session based personalization, and it serves recommendation calls into UI components across browsing, cart and checkout touchpoints. Governance is handled through centralized merchandising rules, campaign templates and staged rollouts to manage exposure and update cadences. The deployment impacts ecommerce, digital merchandising and marketing workflows while centralizing on site recommendation logic within Perzonalization.
Distribution 45 $6M United States Perzonalization Perzonalization Personalization and Product Recommendations 2019 n/a
Retail 200 $62M Colombia Perzonalization Perzonalization Personalization and Product Recommendations 2021 n/a
Professional Services 10 $2M Singapore Perzonalization Perzonalization Personalization and Product Recommendations 2020 n/a
Professional Services 10 $1M United States Perzonalization Perzonalization Personalization and Product Recommendations 2021 n/a
Retail 10 $1M United States Perzonalization Perzonalization Personalization and Product Recommendations 2019 n/a
Showing 1 to 10 of 31 entries

Buyer Intent: Companies Evaluating Perzonalization

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FAQ - APPS RUN THE WORLD Perzonalization Coverage

Perzonalization is a Personalization and Product Recommendations solution from Perzonalization.

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

Organizations such as Defacto, Epokhe, Wearing Klamby, La Ligne and Les Complices Sa are recorded users of Perzonalization for Personalization and Product Recommendations.

Companies using Perzonalization are most concentrated in Retail, Consumer Packaged Goods and Manufacturing, with adoption spanning over 21 industries.

Companies using Perzonalization are most concentrated in Turkey, Colombia and Indonesia, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Perzonalization across Americas, EMEA, and APAC.

Companies using Perzonalization range from small businesses with 0-100 employees - 87.1%, to mid-sized firms with 101-1,000 employees - 9.68%, large organizations with 1,001-10,000 employees - 0%, and global enterprises with 10,000+ employees - 3.23%.

Customers of Perzonalization 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 Perzonalization 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.