Solution: A platform that sits between your lead intake (form, call, chat) and your ad platforms. The platform: (1) Captures every lead with rich context โ full form data, call recording, source attribution, GCLID/FBCLID; (2) Scores lead quality in real-time using explicit rules and AI analysis of form responses or call transcripts; (3) Enriches with CRM data โ if the lead opens a deal or books an appointment, that signal propagates back; (4) Pushes only qualified leads back to Google Ads, Meta, Microsoft Ads, and TikTok as offline conversions with proper value scoring; (5) Maintains a clean signal layer that lets Smart Bidding actually optimize for what you care about. ICP: Lead-generation advertisers spending $5Kโ$500K/month on Google Ads or Meta who run Smart Bidding and accept all form fills or call clicks as conversions. Their cost-per-conversion looks fine but their cost-per-QUALIFIED-lead is brutal because the algorithm keeps optimizing for low-intent form fillers, junk calls, and timewasters. They know their tracking is teaching Smart Bidding the wrong thing but don't have an automated way to send back qualified-only signal.
Real-time qualified-lead-only feedback to Smart Bidding is the entire value proposition. Existing tools either feed back all leads (training the algorithm wrong) or require manual CSV uploads (too slow for Smart Bidding to learn). The AI call transcript analysis for qualification is the killer feature for service businesses โ automatically scoring 'tire kicker called to ask if you sell parts' as low-quality without the agency having to listen to every recording.
โSimilar to how Triple Whale and Hyros built businesses around 'the data signal you send to Meta and Google is wrong; here's how to fix it' specifically for ecommerce. This is the same play for lead generation: the data signal you send to ad platforms is wrong; here's how to fix it. Same value proposition, different vertical.โ