Lead Intake & AI Qualification

When you are a small team, every inbound lead matters. Hookie turns raw lead events from your site and tools into a real-time AI-driven qualification pipeline so you can route the right leads to the right person in seconds, not hours.

Who this is for

• SaaS startups with self-serve signups and demo forms.
• Agencies and service businesses capturing leads from multiple channels.
• Technical teams that want automation without maintaining a tangle of one-off scripts or no-code zaps.

Problems it solves

• Slow or inconsistent follow-up. Leads sit in inboxes or spreadsheets while someone manually copies them into the CRM.
• Low signal, noisy leads. Spam, students, and poor-fit leads clutter your pipeline, making it hard to prioritize real opportunities.
• Fragmented intake. Forms, product signups, chat widgets, and partner referrals all land in different systems.

How it works with Hookie

1. Capture leads from anywhere

• Point your forms or application backend at a project-scoped Hookie endpoint (e.g. /{workspace}/{project}/{webhook-slug}).
• Optionally use ingest keys for machine-to-machine sources or marketplace webhooks.
• All raw payloads are stored in submissions and routed into a leads dataset.

2. Normalize and enrich lead data

• Use routing rules to map each incoming payload into normalized fields such as email, company, role, source, and message.
• Preserve the full original payload alongside the mapped record for debugging and auditing.
• Optionally call an enrichment destination (your own service or a third-party) to attach firmographic data.

3. Qualify leads with AI

• Attach an AI trigger to the leads dataset.
• The trigger runs a prompt over each lead that can:
  • Identify ICP fit and likely company size.
  • Extract key pains and intent from the message.
  • Generate a short sales note and a recommended next action.
• AI outputs are written to a lead_qualification dataset keyed by lead_id.

4. Route to CRM and Slack

• Configure destinations for your CRM (HubSpot, Pipedrive, Salesforce, etc.) and for internal notifications.
• Use dataset filters to send only high-quality or specific segments (e.g. ICP + certain regions) to dedicated Slack channels.
• All outbound deliveries are signed, retried with backoff, and logged with status and response codes.

5. Monitor performance

• Use Hookie’s dashboards and dataset exports to track lead volume, qualification rates, and response times.
• Iterate on rules and AI prompts without changing your product code.

Example implementation pattern

1. Create a project Growth / Lead Intake in Hookie.
2. Add a primary webhook endpoint and point all forms and signup flows at it.
3. Define a leads dataset with mappings for the fields you care about.
4. Add an AI trigger that classifies ICP fit and drafts notes for your sales team.
5. Configure CRM and Slack destinations filtered by lead_score or ICP tags.
6. Use dataset exports or the live stream to analyze and improve the funnel over time.

Benefits for startups

• Recover leads that would otherwise be lost to slow routing or bad CRM data.
• Give your sales team instant context and suggested messaging without adding operational overhead.
• Centralize lead intake from many channels into one observable, testable pipeline.