Qwestive web3 referral
  • OVERVIEW
    • 👋Introduction
  • Setup referral campaign
    • 💻Quick Start
    • Developers: Getting started
    • Implement Tracking
      • Client side Tracking
        • React example
        • Adding welcome popup card
      • Server side Tracking
    • Implement Embedded UI
      • React Example
      • NextJS Example
    • Admin API
  • 💼Use Case
  • 🚀Launch preparation
  • 🤖Bot and Fraud Detection
Powered by GitBook
On this page

Bot and Fraud Detection

Qwestive uses a combination of frontend and backend bot and fraud detection.

Referrals and affiliate marketing campaigns have a tendency to attract fraudsters who use tactics such as bots, fake lead generation, and spam submissions to earn commissions and rewards. Qwestive takes proactive measures to prevent these types of fraud by using a multi-layered approach.

To ensure the validity of referrals and leads, Qwestive performs front-end browser behavior detection to filter out any bots. This method is combined with backend processing techniques such as fingerprinting, machine learning, and fraud detection measures to ensure that fraudulent behavior is detected and flagged for Qwestive users.

PreviousLaunch preparation

Last updated 2 years ago

🤖