> For the complete documentation index, see [llms.txt](https://csvgo.gitbook.io/csvgo-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://csvgo.gitbook.io/csvgo-docs/csvgo-documentation.md).

# CSVgo Documentation

***

### Introduction

CSVgo is a lead list processing tool built for cold email workflows.

It helps outbound teams turn messy contact lists into clean, verified, and segmented data that is ready to send. CSVgo focuses on the steps that happen **between lead sourcing and email sending**.

This documentation explains:

* What CSVgo does and does not do
* How CSVgo processes lead lists step by step
* How to interpret verification results and analytics
* How to choose the correct export for your campaign

***

### What CSVgo Is Used For

CSVgo is designed to handle tasks that are typically spread across spreadsheets and multiple tools, including:

* Lead list data cleanup
* Email verification
* Catch-all analysis
* Email service provider identification
* Export preparation for cold email tools

CSVgo does not send emails or manage campaigns. Its role is to prepare data so outbound tools can perform reliably.

***

### How to Use This Documentation

Use this documentation based on your goal:

* **New to CSVgo**\
  Start with **Getting Started → What CSVgo Does (and Does Not Do)**
* **Understanding how CSVgo works**\
  Read **Core Workflow → How CSVgo Processes a Lead List**
* **Choosing the right export**\
  Go to **Export Formats**
* **Interpreting results and analytics**\
  Go to **Analytics & Interpretation**
* **Solving a specific outbound problem**\
  Check **Common Use Cases**

Each page is written to answer a single question or decision clearly.

***

### Where CSVgo Fits in Your Workflow

Typical cold email workflow:

1. Source leads from Apollo, Sales Navigator, scraping tools, or databases
2. Upload the file to CSVgo
3. Clean, verify, and segment the data
4. Export the appropriate deliverable format
5. Upload the result into your sending tool

CSVgo exists to reduce manual work and deliverability risk before outreach begins.

***

### Documentation Structure

This documentation is organized into the following sections:

* **Getting Started**\
  High-level concepts and positioning
* **Core Workflow**\
  Step-by-step explanation of how CSVgo processes data
* **Export Formats**\
  Detailed explanations of each export option
* **Accuracy & Deliverability**\
  How verification and catch-all handling works in practice
* **Analytics & Interpretation**\
  How to read results and make sending decisions
* **Common Use Cases**\
  Practical outbound scenarios and workflows
* **Pricing & Credits**\
  How usage and billing work
* **FAQ**\
  Common questions and edge cases

***

### Next Steps

If you are new to CSVgo, start here:

→ **What CSVgo Does (and Does Not Do)**


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://csvgo.gitbook.io/csvgo-docs/csvgo-documentation.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
