List of Signifyd Customers
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Since 2010, our global team of researchers has been studying Signifyd 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 Signifyd for eCommerce Fraud Protection 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 Signifyd for eCommerce Fraud Protection include: Samsung Electronics South Korea, a South Korea based Manufacturing organisation with 262647 employees and revenues of $206.82 billion, Samsung Electronics South Korea, a South Korea based Manufacturing organisation with 262647 employees and revenues of $206.41 billion, Samsung Semiconductor, a South Korea based Manufacturing organisation with 262647 employees and revenues of $66.52 billion, PayPal, a United States based Banking and Financial Services organisation with 24400 employees and revenues of $31.80 billion, Motion Industries, a United States based Distribution organisation with 9100 employees and revenues of $8.30 billion and many others.
Contact us if you need a completed and verified list of companies using Signifyd, 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 Signifyd 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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11:11 Lounge | Leisure and Hospitality | 20 | $3M | United States | Signifyd | Signifyd | eCommerce Fraud Protection | 2026 | n/a |
In 2026 11:11 Lounge deployed Signifyd on its public website as an eCommerce Fraud Protection solution, instrumenting the checkout flow to surface risk signals during order submission. The implementation targets online order acceptance and payment risk decisioning for the companys direct-to-consumer channel.
Signifyd was configured to deliver real-time order scoring and automated decisioning consistent with eCommerce Fraud Protection capabilities, including machine learning based risk assessments, automated declines, and flags for manual review. The deployment embeds Signifyd into the storefront checkout and the order processing pipeline to attach risk metadata to orders, route suspicious transactions for human review, and standardize review outcomes within order records.
Operational scope covers e-commerce operations and customer service workflows, with Signifyd informing order management and payment handling processes. Governance work focused on tuning decision rules, establishing review playbooks, and mapping Signifyd risk states to internal fulfilment and customer support actions to ensure consistent handling of flagged orders.
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2Tkos Taqueria | Leisure and Hospitality | 10 | $1M | United States | Signifyd | Signifyd | eCommerce Fraud Protection | 2025 | n/a |
In 2025, 2Tkos Taqueria deployed Signifyd as its eCommerce Fraud Protection solution on its public website used for online orders. The implementation is centered on instrumenting the web checkout to assess transaction risk in real time, reflecting the restaurant’s small scale single-site online ordering workflow.
Signifyd was configured to deliver real-time order scoring and automated decisioning, using device and payment risk signals consistent with eCommerce Fraud Protection capabilities. Integration was carried out through web checkout instrumentation and server-side API calls to enable synchronous risk assessment at point of sale, and the configuration includes an automated decision layer alongside a manual review queue for orders that require human inspection.
Operational ownership of the Signifyd deployment resides with teams managing online sales and payment processing, with administrative controls for tuning fraud rules and escalation paths. Governance tasks established include defining order review procedures and dispute escalation, centralizing fraud screening for the restaurant’s e-commerce channel and aligning Signifyd with existing online order management processes.
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3 Point Distribution | Manufacturing | 20 | $2M | United States | Signifyd | Signifyd | eCommerce Fraud Protection | 2017 | n/a |
In 2017, 3 Point Distribution implemented Signifyd on its website to provide eCommerce Fraud Protection for its online sales channel. 3 Point Distribution is a United States based manufacturer with 20 employees and approximately 2000000 in revenue, the deployment targeted the company storefront at https://www.ezekielusa.com. The implementation concentrated on inline checkout screening to protect order intake and downstream fulfillment processes.
Signifyd was configured to perform real time order scoring, automated decisioning, and centralized case management consistent with eCommerce Fraud Protection workflows. The implementation used website instrumentation to transmit order and customer signals to Signifyd and to receive decision responses that drive approve review or decline actions at checkout. Signifyd's case management capabilities were used to surface suspected orders for manual review by staff when automated rules returned review outcomes.
Operational coverage included the ecommerce storefront, customer service order review, and fulfillment acceptance points, aligning fraud signals with order processing workflows. Integration points remained focused on the storefront and order processing layer, enabling the small operations team to act on Signifyd decisions without broad enterprise integration.
Governance was centered on Signifyd policy configuration and operational oversight by the internal ecommerce team, with rule tuning and case handling executed in platform controls. The implementation favored automated protection and lightweight manual review processes appropriate for a 20 person manufacturer using Signifyd for ecommerce fraud protection.
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Manufacturing | 10 | $1M | United States | Signifyd | Signifyd | eCommerce Fraud Protection | 2020 | n/a |
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Leisure and Hospitality | 20 | $2M | United States | Signifyd | Signifyd | eCommerce Fraud Protection | 2026 | n/a |
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Leisure and Hospitality | 5 | $1M | United States | Signifyd | Signifyd | eCommerce Fraud Protection | 2025 | n/a |
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Leisure and Hospitality | 10 | $1M | United States | Signifyd | Signifyd | eCommerce Fraud Protection | 2025 | n/a |
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Consumer Packaged Goods | 30 | $25M | United States | Signifyd | Signifyd | eCommerce Fraud Protection | 2022 | n/a |
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Manufacturing | 160 | $25M | United States | Signifyd | Signifyd | eCommerce Fraud Protection | 2022 | n/a |
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Distribution | 60 | $68M | Canada | Signifyd | Signifyd | eCommerce Fraud Protection | 2021 | n/a |
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Buyer Intent: Companies Evaluating Signifyd
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