> For the complete documentation index, see [llms.txt](https://docs.athenachat.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.athenachat.ai/documentation/documentation-en/use-cases/marketing-assistent.md).

# Marketing assistant

Lead generation, nurturing, and mailings

The agent responds to leads from ads, qualifies them, moves them through the funnel, and brings back those who didn't buy right away — through [mailings](/documentation/documentation-en/features/broadcasts.md) and triggers.

Source on the website: [Marketing assistant](https://athenachat.ai/ru/use-cases/marketing-assistant/).

## What it solves

* A lead from an ad writes in the evening and cools off without a response.
* There is no reminder system — interest is forgotten.
* [Broadcasts](/documentation/documentation-en/features/broadcasts.md) manually, with no segments or analytics.

## How it works

1. Instantly responds to a new message, collects contact details, and, if necessary, enters the lead into the CRM.
2. Clarifies the need and budget, and selects the funnel branch.
3. Advises, brings them back into the conversation, and helps them make a decision.
4. The ready lead goes to the manager with the history. Those who didn't buy are followed up with [mailings](/documentation/documentation-en/features/broadcasts.md).

## What to configure

| In the dashboard                                                                            | Why                                                       |
| ------------------------------------------------------------------------------------------- | --------------------------------------------------------- |
| [Role, instructions, task](/documentation/documentation-en/features/agent-setup/general.md) | Warm-up script and offer                                  |
| [Broadcasts](/documentation/documentation-en/features/broadcasts.md)                        | Reminder if the task in the conversation is not completed |
| [Triggers](/documentation/documentation-en/features/agent-setup/triggers.md)                | Alert when the lead is ready                              |
| [CRM](/documentation/documentation-en/integrations.md)                                      | Handing the inquiry over to the sales department          |

**Example task:** “Collect the name and contact, find out interest in the product, answer questions, and bring them back into the conversation if the customer goes silent.”

## Examples

**Online store.** Leads from ads 24/7, mailings of new items and promotions at set intervals.

**Online school.** Course consultations, trigger reminders and special offers, ready leads in the CRM.


---

# 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, and the optional `goal` query parameter:

```
GET https://docs.athenachat.ai/documentation/documentation-en/use-cases/marketing-assistent.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.
