Real-time lead validation and bot detection. Score every submission 0-100 with AI and 30+ signals to stop wasted ad spend on fake leads.
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Traffic Validator is a real-time lead validation and bot detection platform built to stop advertisers and lead buyers from paying for fake, bot-generated, or low-quality form submissions. Every lead is scored on a 0-100 scale using AI combined with over 30 detection signals, including behavioral analysis (mouse movement, typing rhythm, scroll patterns), email validation (MX checks, disposable domain detection), IP reputation and location consistency checks, headless-browser and automation-framework detection (e.g. Selenium, Puppeteer), device fingerprinting, and duplicate-submission clustering.
Based on this scoring, teams can automatically route or block suspicious leads before they reach sales, using customizable thresholds. The platform integrates natively with CRMs including HubSpot, Salesforce, Pipedrive, Zoho, ActiveCampaign, and GoHighLevel, plus Shopify, WordPress, Zapier, Make, Slack, and Google Tag Manager, and exposes an API and webhooks for custom workflows.
Traffic Validator is aimed at advertisers running Google Ads or Facebook Ads campaigns, lead buyers and CPL vendors, and marketing agencies, with stated use across industries such as insurance, SaaS, real estate, legal, home services, healthcare, financial services, ecommerce, automotive, dental, and med spas. It also offers free tools such as a lead audit, ad fraud calculator, and ROI calculator.
It scores every incoming lead or form submission 0-100 in real time using AI and 30+ signals to flag bots, fraud, and low-quality leads before they reach sales.
Yes, it offers a free tier for low-traffic sites, plus volume-based paid plans as traffic grows, with no credit card required to start a trial.
It natively integrates with HubSpot, Salesforce, Pipedrive, Zoho, ActiveCampaign, GoHighLevel, Shopify, WordPress, Zapier, Make, Slack, and Google Tag Manager, plus a general API and webhooks.
It analyzes behavioral signals like mouse movement and typing rhythm, checks email and IP reputation, and detects headless browsers and automation frameworks such as Selenium and Puppeteer.