List of Sift Science Payment Protection Customers
San Francisco, 94105, CA,
United States
Since 2010, our global team of researchers has been studying Sift Science Payment Protection 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 Sift Science Payment Protection 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 Sift Science Payment Protection for eCommerce Fraud Protection include: PartnerStack, a Canada based Professional Services organisation with 250 employees and revenues of $35.0 million, PayMongo, a Philippines based Professional Services organisation with 190 employees and revenues of $20.0 million, Paula'S Choice, a United States based Oil, Gas and Chemicals organisation with 103 employees and revenues of $12.0 million and many others.
Contact us if you need a completed and verified list of companies using Sift Science Payment Protection, 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 Sift Science Payment Protection 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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PartnerStack | Professional Services | 250 | $35M | Canada | Sift Science | Sift Science Payment Protection | eCommerce Fraud Protection | 2022 | n/a |
In 2022, PartnerStack integrated Sift Science Payment Protection into its partner and affiliate platform as a dedicated eCommerce Fraud Protection layer. The implementation was white labeled and deployed across PartnerStack's global partner ecosystem and marketplace to provide a centralized fraud defense capability for its network of partners and vendors.
The deployment focused on account level and payment protection capabilities, leveraging Sift Science Payment Protection for automated risk scoring, account screening to detect duplicate or illegitimate accounts, and orchestration of payment protection workflows. Configuration emphasized detection and mitigation of large scale abuse patterns and automated decisioning to block or escalate high risk events.
Integration work centered on embedding Sift Science Payment Protection into PartnerStack's platform flows so partner onboarding, transaction processing, and marketplace interactions could be scored and evaluated in real time. Operational coverage included partner operations, vendor relationship management, and platform fraud operations across PartnerStack's marketplace, with the solution presented to partners via a white labeled interface.
Governance adjustments aligned platform risk handling with vendor protection procedures, enabling centralized incident response and partner communication when abuse was detected. The implementation helped identify duplicate and illegitimate accounts and enabled PartnerStack to stop large abuse campaigns, including an event involving approximately 50,000 fake accounts, preserving partner relationships and saving roughly $100k for affected vendors.
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Paula'S Choice | Oil, Gas and Chemicals | 103 | $12M | United States | Sift Science | Sift Science Payment Protection | eCommerce Fraud Protection | 2023 | n/a |
In 2023 Paula'S Choice deployed Sift Science Payment Protection to protect payment transactions across its United States ecommerce operations, leveraging eCommerce Fraud Protection to harden checkout and payments flows. The implementation emphasized real time transaction scoring and automated decisioning to flag and block high risk payments before authorization.
Sift Science Payment Protection was configured to operate on payment authorization events and chargeback workflows, using machine learning based risk scoring, behavioral signals, and automated case routing for disputed transactions. Functional capabilities implemented included payment transaction scoring, automated fraud blocking, and chargeback dispute support to streamline investigations.
The deployment used a cloud hosted decisioning architecture embedded into checkout and payment flows, with operational coverage focused on payments and finance teams and customer service for dispute management. Workflows were restructured to triage high risk orders and escalate suspected fraud to the finance function for chargeback handling and remediation.
Outcomes reported from the rollout included a rapid reduction in chargebacks to 0.2 percent and prevention of one hundred thousand dollars of fraud within the first three days, directly affecting payments and finance outcomes and supporting improved customer trust.
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PayMongo | Professional Services | 190 | $20M | Philippines | Sift Science | Sift Science Payment Protection | eCommerce Fraud Protection | 2021 | n/a |
In 2021, PayMongo integrated Sift Science Payment Protection to monitor card transactions across its Philippine merchant base. The Sift Science Payment Protection deployment served as an eCommerce Fraud Protection layer, providing real-time transaction scoring and automated review queuing embedded into PayMongo's payment processing path.
Functional configuration emphasized transaction monitoring, rule based risk decisioning, automated review workflows, and dispute monitoring, with Sift Science Payment Protection instrumenting reviewer queues and case management for flagged card transactions. The implementation extended into payments operations, risk and dispute handling workflows, and merchant facing dashboards to surface risk signals for operations teams.
Operational rollout covered PayMongo's Philippines merchants and centralized review processes for the payments and risk functions, enabling teams to triage and escalate cases through the automated workflow. After deployment the PayMongo team reported being able to safely handle 10 to 20 times more card transactions while keeping fraud losses and disputes well below their thresholds.
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