List of Globaledit DAM Customers
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Since 2010, our global team of researchers has been studying Globaledit DAM 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 Globaledit DAM for Digital Asset Management 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 Globaledit DAM for Digital Asset Management include: Belk, a United States based Retail organisation with 11200 employees and revenues of $4.00 billion, Food Network, a United States based Media organisation with 500 employees and revenues of $900.0 million, Barkbox, a United States based Retail organisation with 691 employees and revenues of $484.0 million and many others.
Contact us if you need a completed and verified list of companies using Globaledit DAM, 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 Globaledit DAM 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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Barkbox | Retail | 691 | $484M | United States | Globaledit | Globaledit DAM | Digital Asset Management | 2021 | n/a |
In 2021 Barkbox implemented Globaledit DAM as its Digital Asset Management solution to centralize asset management across creative workflows. The Globaledit DAM deployment focused on enabling Work-in-Progress collaboration and bringing asset stewardship under a single repository for creative and marketing teams in the United States.
The implementation configured robust markup, rating, and distribution workflows to support iterative review and approval cycles. Globaledit DAM was used to manage work-in-progress assets, capture annotated feedback from reviewers, and apply ratings that influence downstream distribution queues and selection for campaigns.
Operational scope covered creative, marketing, and post-production functions, with in-platform communication specifically connecting art directors, retouchers, and post-production staff. The deployment emphasized collaboration and clearer handoffs between roles, reducing reliance on ad hoc file exchanges and email based reviews.
Governance was enforced through the system workflows for markup driven reviews, rating based selection, and controlled distribution routing, which restructured approval and asset preparation processes. As a result of the Globaledit DAM implementation Barkbox halved the time to prepare assets for distribution and increased creative throughput by enabling clearer in-platform communication between art directors, retouchers, and post-production staff.
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Belk | Retail | 11200 | $4.0B | United States | Globaledit | Globaledit DAM | Digital Asset Management | 2020 | n/a |
In 2020, Belk implemented Globaledit DAM to centralize its creative and marketing asset library, deploying Globaledit DAM as its Digital Asset Management solution across the organization in the United States. The initiative targeted unified studio, branding, post-production, and design workflows to shorten shot-to-publication timelines.
The implementation configured the platform to serve as a central asset repository and workflow backbone, supporting metadata-driven cataloging, version control, and approval workflows consistent with Digital Asset Management practices. Globaledit DAM now manages 95K+ assets on the platform and was used to orchestrate studio uploads, post-production handoffs, brand asset distribution, and design review cycles.
Operational coverage spanned Belk's creative and marketing functions across the United States, and the deployment integrated with tools like Workhorse to link asset management to creative production systems. Governance focused on standardizing asset lifecycle and editorial approval processes, and the program delivered a 75 percent improvement in creative output within one year.
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Food Network | Media | 500 | $900M | United States | Globaledit | Globaledit DAM | Digital Asset Management | 2022 | n/a |
In 2022, Food Network standardized on Globaledit DAM to modernize photo production and content management across creative, production, post-production, and photo research teams in the United States. The Globaledit DAM deployment eliminated spreadsheets and disparate file stores, centralizing image ingest, metadata capture, and asset indexing for editorial and production workflows.
Configuration emphasized direct-from-shoot uploads, real-time collaboration, and talent approvals, enabling review and sign-off workflows within hours. Implemented Digital Asset Management capabilities included asset ingest, metadata tagging, approval routing, version control, and collaborative review processes aligned with photo production and post-production use cases.
Operational coverage concentrated on US-based creative, production, post-production, and photo research departments, unifying file flows and editorial handoffs to shorten content preparation cycles. The implementation connected shoot-level asset capture to downstream photo research and publishing workflows to support continuous high-volume intake.
Food Network reported a 300% improvement in speed-to-market and the platform handled more than 12,000 new assets per month. Governance centralized asset approvals and standardized review workflows, reducing handoff friction and institutionalizing consistent metadata and approval rules across teams.
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