Promo Abuse Prevention

Powered by real-time machine learning

Talk to a fraud solutions expert

Promos are for growing your business, not gaming your marketing programs.

  • Less promo abuse

    Leverage real-time machine learning to accurately prevent promo abusers from depleting your marketing budget.

  • Less manual review

    Save time and money by automatically blocking promo abusers from gaming your marketing programs.

  • more-sales$%

    Maximize your marketing ROI

    Let good users redeem promo codes and coupons without jumping through hoops, to boost your growth.

Product Capabilities

Key Features
www.siftscience.comOVERVIEWNETWORKACTIVITYBack to All QueuesPrev.Next ReviewUser matched:View user outside queueOpen in hrs left in Queue)Freeze AccountFlag for VerificationAccept Promo CodeIP address is 66.130.189..User Label is “not labeled”Promo Abuse > 50promo abuse scoreTOP PROMO ABUSE SIGNALS123 Mission StreetLatest shippinggmail.comEmail domainVoldemortPromo code senderhogwartsHost providing this users email service148aer394018a1940eePromo codeN63.141Network9393Latest item item ID33.84, -118.35User location16.31 hoursAge of first transaction52custom attributesUsers per device2Email Addressbellatrixx@gmail.comAccount AgeN/AUnique billing addresses...2Failed transactions per weekN/ACountryCAUsers per billing address1Transactions per weekN/AHost providing this users...hogwartsEmail address age51.99 daysDisposable email domainfalseEmail domaingmail.comUnique billing names2Ip/billing distanceN/ANo. of users with same IP...1No. of users with same sh...N/AIP address66.130.189.173Add AttributeidentitynamesBella BlackBellatrix Lestrangephone numbers1-789-184-3715emailsbellatrixx@gmail.comaccount first seen1 day ago1-415-238-6998ip locationsContent Abuseabuse types56Accepted (Content Abuse)by Aaron A. • 8/1/16 at 11:15amPayment Abuse99Watching (Blacklist)by Aaron A. • 8/1/16 at 11:15amAccount Abuse81
  • Machine learning that adapts and learns in real time

    A promo abuse specific machine learning model specialized in detecting users attempting to abuse promo, referral, and coupon programs across desktop and mobile - both browser and native apps.

  • Global network of online businesses ensures accurate results

    The world’s largest network of online businesses anonymously share promo abuse data and analysis to generate the largest database of fraud patterns.

  • Web-based analyst console streamlines manual review and analysis

    Fraud analysts manually review redemptions, explore visualizations, and dig into details such as redemption & order details, device fingerprint, connected accounts, historical data, and more.

  • Easy integration with existing systems keeps everything in sync

    Fraud decisions automatically propagate to all your existing systems. No more switching between systems to manage promo redemption and prevent fraud.

  • Automated workflows deny or accept new promo redemptions or assign them for manual review

    Analysts can easily configure customizable workflows directly in the console to automate fraud and abuse processes and decisions.

Data & Signals

Custom & global machine learning models analyze thousands of promo abuse signals every time a user takes an action on your site or any site on our global network. Here are some examples of the data and signals we use to prevent promo abuse:

  • User browsing behavior
  • Current and historical order information
  • Referrer details
  • Connected accounts (fraud rings)
  • Device fingerprint
  • Geolocation details: billing, shipping, & IP
  • Custom data & signals unique to your business

Powered by the Sift Science Trust Platform

One simple integration gives you access to an integrated suite of fraud and abuse products running on a single platform.

  • One Powerful Platform

    Promo Abuse Prevention is powered by the Sift Science Trust Platform. One simple integration gives you access to an integrated suite of fraud and abuse products running on a single platform that includes a unified web console, automation capabilities, and real-time machine learning.

  • Real-Time Machine Learning

    The Sift Science Trust Platform runs the world’s only machine learning system designed from the ground up to learn in real time from live events taking place on desktop and mobile apps across the world. With over 12,000 sites and apps on the platform, we collect, analyze, and learn from 100’s of millions of events each and every day.

  • Automation

    Sift Science’s machine learning is so accurate at detecting fraud and abuse that many fraud processes and decisions can be fully automated. You can easily configure workflows to automate actions based on machine learning predictions or specific data values. Whether you want to automatically block bad users, remove friction for good ones, or assign users to manual review queues, Sift Science streamlines your fraud prevention practice.

  • Investigation & Analysis

    Sift Science’s web-based console gives fraud teams the tools they need to efficiently manage their fraud management operations. Manual review queues keep analysts and managers focused on the most important cases, while data visualization tools and user-level event data provide the details needed to find even the most sophisticated fraudsters.

pricing starts at $1,000 / month

  • evaluation
  • pay as you go
  • no setup fees