List of Yipit Data Analytics Customers
Since 2010, our global team of researchers has been studying Yipit Data Analytics 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 Yipit Data Analytics for Analytics and BI 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 Yipit Data Analytics for Analytics and BI include: Walmart, a United States based Retail organisation with 2100000 employees and revenues of $681.00 billion, Worthington Enterprises, a United States based Manufacturing organisation with 5000 employees and revenues of $4.92 billion, Fiskars UK, a United States based Manufacturing organisation with 4380 employees and revenues of $1.07 billion and many others.
Contact us if you need a completed and verified list of companies using Yipit Data Analytics, 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 Yipit Data Analytics 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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Fiskars UK | Manufacturing | 4380 | $1.1B | United States | Yipit | Yipit Data Analytics | Analytics and BI | 2024 | n/a |
In 2024, Fiskars UK implemented Yipit Data Analytics within its Analytics and BI capabilities to gain item-level SKU granularity for category management. The implementation focused on the gardening and outdoor product lines across Europe, aiming to produce retailer-facing insights that inform localized assortment decisions.
Yipit Data Analytics was provisioned to deliver near-real-time product and regional performance feeds with a 15-day latency, enabling SKU-level visibility into sell-through and assortment performance. Functional configuration emphasized item-level analytics, regional performance reporting, and assortment localization workflows to support category managers and commercial planners.
Operational scope covered category management and commercial teams that own retail relationships, with outputs structured as retailer-facing insight packages to support negotiations and assortment adjustments. Fiskars UK centralized SKU performance signals across European markets while preserving regional assortment flexibility through localized reporting and segmentation.
Governance aligned the 15-day data cadence to existing category review and retailer engagement processes, embedding Yipit Data Analytics outputs into commercial planning cycles. The engagement delivered product and regional performance data used to localize assortment and strengthen retail partnerships, illustrating a direct relationship between Yipit Data Analytics, Analytics and BI, and Fiskars UK business functions.
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Walmart | Retail | 2100000 | $681.0B | United States | Yipit | Yipit Data Analytics | Analytics and BI | 2023 | n/a |
In 2023, Walmart partnered with YipitData to deploy Yipit Data Analytics as an external alternative data source to support customer insights, pricing and assortment decisions, and investor relations activities in the United States. Yipit Data Analytics sits in the Analytics and BI layer and was provisioned to supply near real-time transaction proxy feeds and derived consumption signals to business teams responsible for merchandising and investor communications.
Yipit Data Analytics was configured to ingest alternative data feeds, normalize purchase proxies, and surface real-time purchase behavior signals for downstream analysis. The implementation emphasized signal generation, time series trend extraction, and dashboarding and alerting capabilities that customer insights and pricing teams used to evaluate assortment movement and demand shifts within the Analytics and BI context.
Operational coverage focused on United States-based customer insights and investor relations workflows, with feeds consumed by investor relations and customer insights teams to support quarterly earnings preparation and investor engagements. Data governance workstreams centered on feed validation, cadence alignment with earnings cycles, and operationalizing signals into reporting and decision workflows, and YipitData feeds helped Walmart’s investor relations and customer insights teams surface real-time purchase behavior signals for quarterly earnings and investor engagements.
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Worthington Enterprises | Manufacturing | 5000 | $4.9B | United States | Yipit | Yipit Data Analytics | Analytics and BI | 2024 | n/a |
In 2024, Worthington Enterprises deployed Yipit Data Analytics to support its consumer products and home-improvement categories in the United States. Yipit Data Analytics provided YipitData dashboards and a Snowflake compatible data feed used to inform consumer insights, merchandising, and go to market decisions. The implementation is positioned within Worthington's Analytics and BI capabilities to centralize market and category intelligence for commercial planning.
Functional capability focused on consumer insights, merchandising analytics, and go to market decision support, with dashboards surfaced to commercial and category teams. The Snowflake compatible data feed enabled standardized downstream analytics used to inform pricing, placement, and localization strategies across Worthington's U.S. consumer products and home improvement operations. Those data-driven pricing and placement decisions supported securing placement in thousands of retail stores and helped establish Worthington as a category leader.
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