How to Export & Analyze your LeadTruffle Leads
📝 Export your LeadTruffle leads to a CSV and use Google Sheets or ChatGPT to break down performance, close rate, and lead source quality.
Table of contents
- Understanding leads vs clients
- Filter your leads in the dashboard
- Export your leads
- Open your export in Google Sheets
- Analyze your leads with ChatGPT
- Example prompts to try
Understanding leads vs clients
LeadTruffle creates two related records for every inquiry:
- Lead — a record created the moment someone contacts you through Angi, Thumbtack, Yelp, or any other source
- Client — a person record built from one or more leads
For reporting, you'll mostly work with leads.
Why you might see duplicate records
If we're reaching a person on both email and SMS, LeadTruffle creates two lead records — one for each channel — and organizes them under the same client. That's why some leads appear "doubled" in the dashboard.
Filter your leads in the dashboard
The Leads table supports quick filtering for at-a-glance reporting.
- Open the Leads table
- Click Advanced Filters
- Choose a filter (e.g., Lead Source: Angi)
- Optionally add a time filter (e.g., Previous Month)
You can then segment by two key status fields.
AI Data Collection status
Automatic — set by LeadTruffle based on whether the AI has collected the info you asked for in your prompt. You can't edit this field.
Status | Meaning |
|---|---|
Not started | The lead hasn't replied yet |
In progress | The AI is mid-conversation gathering details |
Completed | The AI has captured everything you asked for (name, phone, address, etc.) |
Lead status
Set by you and your team. Fully customizable. Use it to track what's happening with a lead in your sales pipeline.
Default options include:
- New
- Contacted
- Quoted
- Won
- Lost
- Call — no answer
You can combine filters — for example, "All Thumbtack leads in the past month with a Won status" — to quickly check performance by source.
Export your leads
When you need deeper analysis, export to CSV.
- Click Export above the Leads table
- Choose a time range (e.g., Previous 30 days)
- Choose an export type:
- Individual Leads — every lead record. Includes duplicates for multi-channel leads.
- Client Summary — one row per client, with all related leads grouped together. (Recommended for most reporting.)
- Click Export to download the CSV

Open your export in Google Sheets
- Go to sheets.google.com and open a new sheet
- Click File → Import
- Go to the Upload tab and drag in your exported CSV
- Choose Replace spreadsheet and click Import
Add a filter
- Select all columns
- Click Data → Create a filter
- Click the filter icon at the top of any column to filter (e.g., by Qualification Source or Lead Status)
Columns worth focusing on
For Client Summary exports, the highest-signal columns are:
- Qualification Sources — where the lead came from
- Lead Status — your team's pipeline status
- Contact Reason — what the lead is inquiring about
- Last Contacted — most recent activity timestamp
From here, the world is your oyster — pivot tables, VLOOKUPs, counts by status, you name it.
Analyze your leads with ChatGPT
If spreadsheets aren't your thing, drop the same CSV into ChatGPT (or Claude, Gemini, or your LLM of choice) for instant analysis without writing any formulas.
- Open ChatGPT
- Drag your exported CSV into the chat
- Ask a question about your leads
The model will read the CSV and respond with a written analysis, tables, and follow-up questions. Once the file is uploaded, you can keep drilling into any cut of the data conversationally.
Example prompts to try
Copy and paste any of these into ChatGPT after uploading your CSV.
- High-level snapshot: "Build me a summary of my LeadTruffle leads. Include total leads, breakdown by lead source, breakdown by lead status, and any obvious patterns you notice."
- Calculate close rate: "Calculate my overall close rate. Assume a Lead Status of 'Won' means the customer was won. Show close rate overall, and broken out by lead source."
- Compare lead sources: "Which lead source is producing the most won customers? Which has the highest close rate? Rank them and explain the difference between volume and quality."
- Spot leads to follow up on: "List leads still in 'New' or 'Contacted' status that were last contacted more than 5 days ago. Sort by oldest first and include the lead source and contact reason."
- Find your best-performing weeks: "Group my leads by the week they came in. Show total leads, won leads, and close rate per week. Highlight the weeks that outperformed the average."
- Check AI qualification impact: "For leads where AI Data Collection is 'Completed,' what percentage ended up Won? Compare that to leads where it's 'In progress' or 'Not started.'"
- Identify pipeline drop-offs: "Group my leads by Lead Status. Highlight where the biggest drop-offs are happening (e.g., leads stuck at Quoted but never moving to Won) and suggest where to focus follow-up effort."
- Compare channel performance: "Compare close rates for leads where we reached out via SMS only, email only, and both channels. Which combination performs best?"
- Surface top contact reasons: "List the top 10 most common Contact Reasons in this export. Show how many leads each one has and the win rate per reason."
Need help? Contact us at support@leadtruffle.com or message the team via the chat on this article or in-app.
Updated on: 11/05/2026
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