Automated lead nurturing with Gemini AI, Telegram, and Gmail reply detection — n8n 工作流

复杂度 触发器42 个节点🤗 Support👁 71 次查看作者:Malik Hashir

概览

Purpose and Audience This n8n workflow automates the entire lead nurturing process from initial contact through a 3-email follow-up sequence, with intelligent reply detection and personalized AI-generated content. It's designed to save sales teams countless hours while maintaining a personal touch in every interaction.

What It Does This workflow orchestrates a comprehensive lead management system that: Captures leads via Telegram: Sales agents submit lead information (name, company, email, note

使用的节点

Send EmailTelegramGmailBasic LLM ChainStructured Output ParserGoogle Gemini Chat Model

工作流预览

parserparserparserparsermodelmodelmodelmodel
T
Telegram Input - Agent S…
AI - Parse Lead Data
Gemini Model - Parser
JSON Output Parser
I
Insert row
I
Initialize Lead Tracking
AI - Generate Personaliz…
Gemini Model - Email Gen…
Email JSON Parser
S
Set Email
Send email
U
Update row(s)
Notify Agent - Email Sent
I
Is This a Reply from Lead?
Notify Agent - Reply Rec…
M
Mark Lead as Replied
D
Daily Reply Check (9 AM)
G
Get row(s)
Get many messages
M
Mark As Replied
D
Daily Follow-up Check (1…
G
Get row(s)1
Gemini Model - Email Gen…
Email JSON Parser1
U
Update row(s)1
Notify Agent - Email Sent1
I
Initialize Lead Follow Up
S
Set 2nd Follow Up
D
Daily Follow-up Check (1…
G
Get row(s)2
Gemini Model - Email Gen…
Email JSON Parser2
I
If lastSentDate was 24 h…
I
Initialize Lead 3rd Foll…
AI - Generate Personaliz…
AI - Generate Personaliz…
S
Set 3rd Follow Up
Send email 3
Send email 2
U
Update row(s) and Update…
Notify Agent - Sequence …
L
Loop Over Items
42 nodes39 edges

工作原理

  1. 1

    触发器

    工作流由 触发器 触发器启动。

  2. 2

    处理

    数据流经 42 个节点, connecting chainllm, datatable, emailsend。

  3. 3

    输出

    工作流完成自动化并将结果发送到配置的目标。

节点详情 (42)

SE

Send Email

emailSend

#1
TE

Telegram

telegram

#2
GM

Gmail

gmail

#3
BA

Basic LLM Chain

n8n-nodes-langchain.chainLlm

#4
ST

Structured Output Parser

n8n-nodes-langchain.outputParserStructured

#5
GO

Google Gemini Chat Model

n8n-nodes-langchain.lmChatGoogleGemini

#6

如何导入此工作流

  1. 1点击右侧 下载 JSON 按钮保存工作流文件。
  2. 2打开你的 n8n 实例,依次点击 工作流 → 新建 → 从文件导入
  3. 3选择下载的 automated-lead-nurturing-with-gemini-ai-telegram-and-gmail-reply-detection 文件并点击导入。
  4. 4为每个服务节点配置 凭证(API 密钥、OAuth 等)。
  5. 5点击 测试工作流 验证一切正常,然后激活它。

或直接在 n8n → 从 JSON 导入 中粘贴:

{ "name": "Automated lead nurturing with Gemini AI, Telegram, and Gmail reply detection", "nodes": [...], ...}

集成

chainllmdatatableemailsendgmailiflmchatgooglegeminioutputparserstructuredscheduletriggersetsplitinbatchestelegramtelegramtrigger

获取此工作流

一键下载并导入

下载 JSON在 n8n.io 上查看
节点42
复杂度high
触发器trigger
查看次数71
分类Support

创建者

Malik Hashir

Malik Hashir

@malikx

标签

chainllmdatatableemailsendgmailiflmchatgooglegeminioutputparserstructuredscheduletriggersetsplitinbatches

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