List of GoDataFeed Platform Customers
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Since 2010, our global team of researchers has been studying GoDataFeed Platform 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 GoDataFeed Platform 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 GoDataFeed Platform for Personalization and Product Recommendations include: Sweaty Betty, a United Kingdom based Retail organisation with 2300 employees and revenues of $583.0 million, Cigars International, a United States based Retail organisation with 370 employees and revenues of $115.0 million, Petflow, a United States based Retail organisation with 50 employees and revenues of $15.0 million, Qualtry, a United States based Retail organisation with 25 employees and revenues of $10.0 million, Mobile Home Parts Store, a United States based Retail organisation with 10 employees and revenues of $10.0 million and many others.
Contact us if you need a completed and verified list of companies using GoDataFeed Platform, 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 GoDataFeed Platform 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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Caribshopper | Retail | 10 | $1M | United States | GoDataFeed | GoDataFeed Platform | Personalization and Product Recommendations | 2020 | n/a |
In 2020, Caribshopper implemented the GoDataFeed Platform to clean and standardize heterogeneous vendor catalog data and to improve Google traffic and sales for a Caribbean-focused marketplace operating across the United States and the Caribbean. The engagement is positioned within the Personalization and Product Recommendations Apps Category, an assignment based on the inferred role that catalog enrichment and feed optimization play in enabling downstream recommendation and personalization workflows.
The deployment of the GoDataFeed Platform focused on catalog normalization and enrichment capabilities, including attribute standardization, taxonomy harmonization, deduplication, and automated feed mapping. Feed optimization workflows were applied to shape product data for Google traffic, with ongoing feed generation and scheduling to maintain synchronized product listings across channels. These functional modules are consistent with product feed management and catalog enrichment commonly used to support personalized merchandising and recommendation engines.
Operational scope targeted ecommerce and marketing functions at Caribshopper, with vendor onboarding processes to standardize incoming supplier feeds from a heterogeneous supplier base. For a 10 employee retailer operating in the US and Caribbean region, the implementation centralized catalog governance and reduced manual catalog maintenance, enabling marketing teams to manage product listings and campaign-ready feeds from a single platform.
Outcomes explicitly cited include improved Google traffic and sales as a result of the catalog cleanup and feed optimization work. The application of the GoDataFeed Platform toward personalization and product recommendations is an inferred capability derived from the catalog enrichment and feed optimization activities described, rather than an explicitly stated module in the source.
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Cigars International | Retail | 370 | $115M | United States | GoDataFeed | GoDataFeed Platform | Personalization and Product Recommendations | 2013 | n/a |
In 2013, Cigars International implemented GoDataFeed Platform to power onsite personalization and product discovery under the Personalization and Product Recommendations category on its e-commerce website. The deployment used the GoDataFeed Platform to ingest the retailer's product catalog and merchandising attributes, normalize SKU-level data, and publish structured recommendation feeds to the storefront. This setup positioned the application as the operational layer for catalog-driven recommendations and product-level personalization.
Configuration emphasized attribute mapping, feed optimization, and rules-based recommendation logic, enabling merchandising teams to adjust assortments and promotional prioritization within the GoDataFeed Platform. Operational ownership sat with e-commerce merchandising and marketing, who managed taxonomy mappings, feed rules, and campaign-level recommendation parameters. Integrations were scoped to the website and product catalog systems, and the rollout focused on live site merchandising and campaign activation rather than broader enterprise system changes.
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Mobile Home Parts Store | Retail | 10 | $10M | United States | GoDataFeed | GoDataFeed Platform | Personalization and Product Recommendations | 2016 | n/a |
In 2016, Mobile Home Parts Store implemented the GoDataFeed Platform to deliver Personalization and Product Recommendations on their website. The implementation used the GoDataFeed Platform as a cloud feed and recommendation service to ingest the retailer catalog, normalize SKU attributes, and generate product-level recommendation signals for the storefront, aligning with standard capabilities in Personalization and Product Recommendations.
Configuration focused on catalog normalization, SKU-level feed management, rule-based product grouping, and placement of recommendations across product detail and category pages, supporting core e-commerce merchandising and catalog management functions. Operational ownership remained with the retailer s e-commerce staff, who managed feed schedules, rule sets, and onsite recommendation placements through the GoDataFeed Platform, embedding personalization directly into the website experience.
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Distribution | 25 | $8M | United States | GoDataFeed | GoDataFeed Platform | Personalization and Product Recommendations | 2019 | n/a |
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Retail | 50 | $15M | United States | GoDataFeed | GoDataFeed Platform | Personalization and Product Recommendations | 2020 | n/a |
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Retail | 25 | $10M | United States | GoDataFeed | GoDataFeed Platform | Personalization and Product Recommendations | 2017 | n/a |
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Retail | 2300 | $583M | United Kingdom | GoDataFeed | GoDataFeed Platform | Personalization and Product Recommendations | 2021 | n/a |
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Retail | 12 | $5M | United States | GoDataFeed | GoDataFeed Platform | Personalization and Product Recommendations | 2013 | n/a |
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Buyer Intent: Companies Evaluating GoDataFeed Platform
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