List of Segmentify Personalised Product Recommendation Customers

Segmentify

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London, EC4R 1AP,
United Kingdom

https://www.segmentify.com/

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Professional Services

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Since 2010, our global team of researchers has been studying Segmentify Personalised Product Recommendation 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 Segmentify Personalised Product Recommendation 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 Segmentify Personalised Product Recommendation for Personalization and Product Recommendations include: Ford Turkey, a Turkey based Automotive organisation with 26047 employees and revenues of $17.24 billion, Arcelik, a Turkey based Manufacturing organisation with 55000 employees and revenues of $13.40 billion, Puma, a Germany based Retail organisation with 22214 employees and revenues of $10.49 billion, Beko Turkey, a Turkey based Manufacturing organisation with 40000 employees and revenues of $7.70 billion, A101, a Turkey based Retail organisation with 66000 employees and revenues of $6.70 billion and many others.

Contact us if you need a completed and verified list of companies using Segmentify Personalised Product Recommendation, 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 Segmentify Personalised Product Recommendation 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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Customer	Industry	Empl.	Revenue	Country	Vendor	Application	Category	When	SI	Insight Source
A101	Retail	66000	$6.7B	Turkey	Segmentify	Segmentify Personalised Product Recommendation	Personalization and Product Recommendations	2020	n/a	In 2020, A101 implemented Segmentify Personalised Product Recommendation on their website. A101 uses Segmentify Personalised Product Recommendation in the Personalization and Product Recommendations category to drive on-site product discovery and support e-commerce merchandising and digital marketing functions. The deployment concentrates on standard personalization components, including a real-time recommendation engine, on-site personalization widgets for homepage, category pages, product detail pages and cart, product catalog feed ingestion for catalog synchronization, and merchandising rule controls for business users. Segmentify Personalised Product Recommendation is embedded into the storefront through client-side instrumentation complemented by scheduled server-side catalog updates, enabling session-based and profile-driven algorithmic ranking of products. Operational coverage is the A101 e-commerce website serving Turkey, with the implementation scoped to merchandising, e-commerce operations, and digital marketing teams. Governance emphasized centralizing recommendation rule management and catalog synchronization processes, and instrumenting analytics to monitor recommendation behavior and campaign configurations across page types.
Ambiente Direct	Retail	110	$25M	Germany	Segmentify	Segmentify Personalised Product Recommendation	Personalization and Product Recommendations	2017	n/a	In 2017, Ambiente Direct implemented Segmentify Personalised Product Recommendation on its website. The deployment used Segmentify Personalised Product Recommendation to provide onsite product recommendations and individualized merchandising, consistent with the Personalization and Product Recommendations category. The program targeted the e-commerce and marketing teams responsible for catalog merchandising and onsite product discovery. The implementation included configuration of recommendation widgets and personalization rules, real-time behavioral segmentation driven by browsing and add to cart signals, and ongoing product feed ingestion to keep the catalog synchronized. Segmentify Personalised Product Recommendation was configured to surface related products, frequently bought together suggestions, and personalized best sellers across storefront touchpoints. The platform’s rule engine and campaign management capabilities were used to tune recommendation logic and apply merchandising overrides. Deployment was embedded in the website front end to render recommendation slots on product detail pages, category listings, and cart pages, operating across Ambiente Direct’s German storefront. Operational coverage centered on the online retail site rather than back office systems, with merchandising and marketing owning rule sets and analytics feeding performance monitoring. Governance followed a phased rollout beginning on high traffic category pages then expanding site wide, with A B testing used to validate widget placement and rule changes. Ongoing operations included scheduled feed updates and periodic rule reviews by merchandising and marketing teams.
Arcelik	Manufacturing	55000	$13.4B	Turkey	Segmentify	Segmentify Personalised Product Recommendation	Personalization and Product Recommendations	2015	n/a	In 2015, Arcelik implemented Segmentify Personalised Product Recommendation on its consumer website. The deployment targeted the company digital storefront to deliver product-level personalization, linking product catalog feeds with behavioral event streams to surface context aware suggestions and category specific merchandising options. Segmentify Personalised Product Recommendation was configured to provide algorithm driven product recommendations, catalog ingestion, behavioral tracking, front end personalization rendering, and dashboards for campaign and rule management in support of the Personalization and Product Recommendations category. Operational ownership aligned to e-commerce and digital marketing teams, with phased on site rollouts across major product categories and governance through merchandising rules and reporting workflows, enabling centralized control of personalization rules and campaign orchestration.
	Manufacturing	20000	$5.0B	Turkey	Segmentify	Segmentify Personalised Product Recommendation	Personalization and Product Recommendations	2015	n/a
	Retail	1925	$140M	Colombia	Segmentify	Segmentify Personalised Product Recommendation	Personalization and Product Recommendations	2023	n/a
	Retail	1540	$250M	Turkey	Segmentify	Segmentify Personalised Product Recommendation	Personalization and Product Recommendations	2017	n/a
	Retail	1200	$70M	Turkey	Segmentify	Segmentify Personalised Product Recommendation	Personalization and Product Recommendations	2018	n/a
	Automotive	100	$10M	Slovenia	Segmentify	Segmentify Personalised Product Recommendation	Personalization and Product Recommendations	2021	n/a
	Manufacturing	40000	$7.7B	Turkey	Segmentify	Segmentify Personalised Product Recommendation	Personalization and Product Recommendations	2016	n/a
	Consumer Packaged Goods	10	$1M	Vietnam	Segmentify	Segmentify Personalised Product Recommendation	Personalization and Product Recommendations	2023	n/a

Showing 1 to 10 of 68 entries

Buyer Intent: Companies Evaluating Segmentify Personalised Product Recommendation

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