whatsapp-lead-qualifier

You can automate WhatsApp lead qualification by using chat labels and notes to track conversation state. This state-driven approach manages multi-turn question sequences directly within the chat platform, eliminating the need for a separate database.

State-driven conversation tracking works by applying chat labels and notes to monitor a lead's progress through a fixed sequence of questions. It captures structured data and applies custom rules to automatically tag leads as qualified or disqualified.

Yes, automating WhatsApp lead filtering requires integrating with the TimelinesAI API. You must also configure your environment for sender identification to properly route and tag inbound customer messages.

Yes, human intervention is allowed at any time during the automated WhatsApp lead qualification flow. The skill automatically tags leads based on rules but seamlessly hands off the conversation to your team whenever necessary.

The best way to filter unqualified prospects is to initiate a fixed multi-turn qualification sequence for inbound WhatsApp leads. By asking predefined questions about use case and timeline, the system automatically filters out unqualified prospects before notifying sales.

Setting up multi-turn WhatsApp lead qualification requires the jq command-line tool for processing JSON data. You also need to configure the TimelinesAI API and set up environment variables for sender identification.