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Documentation Index

Fetch the complete documentation index at: https://docs.salesfrank.com/llms.txt

Use this file to discover all available pages before exploring further.

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Data Extraction

SalesFrank can automatically extract structured data during every call – for example the interest level, whether the lead is a decision-maker, or specific information they mentioned.

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How It Works

You define in the prompt which information Frank should extract from the conversation. After the call, this data is available in a structured format in the call history and can be forwarded via webhook.

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Define Data Fields

Add a section to your prompt: 
DATA EXTRACTION:
At the end of the conversation, extract the following information:
- interest_level: "high" / "medium" / "low" / "no interest"
- decision_maker: true / false (is the person a decision-maker?)
- callback_requested: true / false
- main_objection: Main objection as a short text
- appointment_date: Date of the scheduled appointment (if applicable)

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Accessing the Data

Extracted data can be found:
  • In Call History → Individual call → “Extracted Data” tab
  • Via Webhook as JSON after every call
  • In Campaign Analytics as an aggregated overview

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Typical Use Cases

CRM Enrichment

Automatically transfer leads with call data into your CRM

Lead Scoring

Use interest level to set follow-up priorities

Reporting

Aggregate objections to improve your pitch

Post-processing

Send automatic emails or SMS based on extracted data