List of Accertify Fraud Detection Customers
Itasca, 60143-3133, IL,
United States
Since 2010, our global team of researchers has been studying Accertify Fraud Detection 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 Accertify Fraud Detection for AML, Fraud and Compliance 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 Accertify Fraud Detection for AML, Fraud and Compliance include: Marks & Spencer_x000D_, a United Kingdom based Retail organisation with 64000 employees and revenues of $18.10 billion, Urban Outfitters, a United States based Retail organisation with 23000 employees and revenues of $4.55 billion, Target Australia, a Australia based Retail organisation with 13500 employees and revenues of $1.80 billion and many others.
Contact us if you need a completed and verified list of companies using Accertify Fraud Detection, 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 Accertify Fraud Detection 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!
Apply Filters For Customers
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
|---|---|---|---|---|---|---|---|---|---|---|---|
 |
Marks & Spencer_x000D_ | Retail | 64000 | $18.1B | United Kingdom | Accertify | Accertify Fraud Detection | AML, Fraud and Compliance | 2013 | n/a |
In 2013, Marks & Spencer implemented Accertify Fraud Detection in its e-commerce payments environment as a Fraud Detection solution. The UK retail deployment applied Accertify Fraud Detection in real time to screen online transactions, and the implementation has been reported to deliver a 55% reduction in fraud since the original 2013 deployment.
The configuration centered on Accertify’s real-time fraud screening capabilities plus Accertify’s SCA optimisation module, the latter added after the initial rollout to manage Strong Customer Authentication without materially increasing checkout friction. Accertify Fraud Detection was configured to evaluate transaction risk at point of sale and to apply SCA optimisation logic to preserve a frictionless checkout for the vast majority of customers.
Operationally the implementation was scoped to Marks & Spencer’s e-commerce payments and checkout flows across its UK retail operations, impacting fraud prevention, payments processing, and customer experience teams. Integrations were focused on embedding Accertify Fraud Detection into the online payment authorization path so that screening and SCA optimisation executed inline with transaction processing.
Governance included staged rollout of the SCA optimisation module after the initial 2013 deployment, and ongoing tuning of screening thresholds to balance fraud reduction with customer friction. The case study specified that Accertify’s SCA optimisation module was explicitly used to preserve a frictionless checkout experience for the majority of shoppers.
|
 |
Target Australia | Retail | 13500 | $1.8B | Australia | Accertify | Accertify Fraud Detection | AML, Fraud and Compliance | 2022 | n/a |
In 2022, Target Australia integrated Accertify Fraud Detection into its online ordering platform as an e-commerce/payments deployment in the Australia region. The implementation centered on multi-layered fraud prevention to protect checkout flows while preserving a frictionless customer experience.
Target Australia configured Accertify Fraud Detection to apply device and behavioral analysis, real-time transaction scoring, and automated review orchestration consistent with e-commerce/payments fraud control patterns. The deployment emphasized rules-based screening combined with adaptive scoring to surface high-risk transactions for manual review, while allowing low-risk transactions to proceed without interruption.
The Accertify Fraud Detection instance was integrated directly with the retailer’s online ordering and checkout workflows, establishing decisioning touchpoints at transaction authorization and order confirmation. Operational coverage included e-commerce, payments and fraud operations teams, with the system feeding into existing review queues and chargeback handling processes.
Governance focused on tuning scoring thresholds and review workflows to balance risk and customer friction, with ongoing rule updates and analyst feedback loops. Outcomes reported by Target Australia included a 71% reduction in chargebacks and maintenance of a 99% plus frictionless customer experience after Accertify Fraud Detection was operational.
|
 |
Urban Outfitters | Retail | 23000 | $4.5B | United States | Accertify | Accertify Fraud Detection | AML, Fraud and Compliance | 2009 | n/a |
In 2009, Urban Outfitters implemented Accertify Fraud Detection to address e-commerce payment fraud across its North America online retail channels. Accertify Fraud Detection was deployed as the central fraud screening layer for checkout and order validation workflows, focused on reducing manual review workloads and improving automated decisioning for payment transactions.
The implementation began with core fraud detection rules and score-based decisioning, then expanded to include Accertify Chargeback Management and Accertify Profile Builder as additional modules of the same solution set. Accertify Fraud Detection and the added Chargeback Management and Profile Builder modules were configured to support automated review queues, case management for disputed transactions, and persistent buyer profile construction for device and behavioral signals.
Operational coverage centered on online payments and order review within North America, integrating the fraud screening flow into the e-commerce payments path and merchant operations. The deployment targeted business functions for payments, risk operations, and chargeback dispute teams, and used the Accertify application to orchestrate review workflows and profile enrichment across those functions.
Governance changes prioritized automation of manual review and centralized case handling, with a staged rollout of rules and models to balance false positives and operational capacity. In 2015 the Accertify machine learning model was introduced into the environment, and Urban Outfitters recorded a 20% reduction in fraud order reviews after that model went live.
|
Buyer Intent: Companies Evaluating Accertify Fraud Detection
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
|---|---|---|---|---|---|---|---|---|
| No data found | ||||||||