Generate personalized cold outreach icebreakers with GPT-4 and Google Sheets
Automated Personalized Email Icebreakers
This workflow automates creating personalized email icebreakers. It reads leads from a Google Sheet, scrapes their company website, uses OpenAI to analyze the data and craft a unique opening line, and then saves that icebreaker back into the original sheet.
How It Works
- Fetch Lead: The workflow starts, loops through your leads, and pulls one from your Google Sheet.
- Scrape & Summarize: It scrapes the lead's company website and uses a fast OpenAI model to summarize the key points about the company and the person.
- Generate Icebreaker: This summary is then sent to a more powerful OpenAI model, which follows specific instructions to write a short, personalized icebreaker.
- Update Sheet: The new icebreaker is saved back into the correct lead's row in your Google Sheet, using their email to match the record.
Requirements
- An n8n instance.
- An OpenAI API key with available credits.
- A Google account with a Sheet for your leads.
- The Google Sheet must have columns for lead data (e.g.,
Email,Website,Company Name) and an empty column namedicebreaker. - The
Emailcolumn must be unique for each lead.
Setup Instructions
- Add Credentials: In n8n, add your OpenAI API key and connect your Google account via the Credentials menu.
- Configure Google Sheets Nodes: Select each of the two Google Sheets nodes (
Client dataandAdd icebreaker to sheet). In each, choose your credential, select your spreadsheet and the specific sheet name, and ensure the column mapping is correct. - Configure OpenAI Nodes: Select both OpenAI nodes (
Summarising prospect dataandCreating icebreaker) and choose your OpenAI credential from the dropdown. - Verify Update Node: On the final
Add icebreaker to sheetnode, ensure the Operation is set toAppend Or Updateand the Matching Columns field is set toEmail.
Customization Options π‘
- Trigger: Change the manual start to an automatic trigger, like when a new row is added to the sheet or on a daily schedule (Cron).
- AI Prompt: Modify the prompt in the "Creating icebreaker" node to change the tone, style, or length of the output.
- AI Model: Experiment with different OpenAI models (like
gpt-4o) for a different balance of cost, speed, and quality. - Data Source: Replace Google Sheets with a CRM like HubSpot or a database like Postgres.
Generate Personalized Cold Outreach Icebreakers with GPT-4 and Google Sheets
This n8n workflow automates the process of generating personalized cold outreach icebreakers using OpenAI's GPT-4 and populating them into a Google Sheet. It's designed to help sales, marketing, and outreach teams scale their personalization efforts efficiently.
What it does
This workflow streamlines the creation of unique icebreakers by:
- Triggering Manually: Initiates the workflow with a manual click, allowing on-demand generation.
- Fetching Data from Google Sheets: Reads a specified Google Sheet to get prospect information (e.g., name, company, recent achievements, LinkedIn profile).
- Looping Over Prospects: Processes each prospect's data individually to ensure personalized icebreaker generation.
- Generating Icebreakers with OpenAI (GPT-4): Sends a prompt to OpenAI's GPT-4 model, using the prospect's details to generate a highly personalized icebreaker.
- Updating Google Sheets: Writes the newly generated icebreaker back into the designated column in the same Google Sheet.
Prerequisites/Requirements
To use this workflow, you will need:
- n8n Instance: A running n8n instance.
- Google Sheets Account: A Google account with access to Google Sheets.
- OpenAI API Key: An API key from OpenAI with access to GPT-4 or a similar large language model.
- Google Sheet with Prospect Data: A Google Sheet containing columns for prospect information (e.g.,
Name,Company,Recent Achievement,LinkedIn Profile). You'll need to specify the sheet name and the column where the generated icebreakers should be written.
Setup/Usage
- Import the Workflow:
- Copy the provided JSON code.
- In your n8n instance, go to "Workflows" and click "New".
- Click the "Import from JSON" button and paste the workflow JSON.
- Configure Credentials:
- Google Sheets: You will need to set up a Google Sheets credential. Follow the n8n documentation for Google Sheets authentication (usually OAuth2).
- OpenAI: You will need to set up an OpenAI credential. Provide your OpenAI API Key.
- Configure Nodes:
- Google Sheets (Read):
- Select your Google Sheets credential.
- Specify the "Spreadsheet ID" and "Sheet Name" where your prospect data is located.
- Ensure the "Operation" is set to "Read Data".
- Loop Over Items (Split in Batches): This node is pre-configured to process items one by one. No changes are usually needed here unless you want to process in batches.
- OpenAI:
- Select your OpenAI credential.
- Set the "Model" to
gpt-4(or your preferred model). - Craft the "Prompt" to include variables from your Google Sheet data. For example:
Adjust the variable names (Generate a personalized cold outreach icebreaker for {{ $json.Name }} at {{ $json.Company }}. Their recent achievement is: {{ $json["Recent Achievement"] }}. Their LinkedIn profile is: {{ $json["LinkedIn Profile"] }}. Keep it concise and engaging.$json.Name,$json.Company, etc.) to match your Google Sheet column headers.
- Google Sheets (Write):
- Select the same Google Sheets credential, Spreadsheet ID, and Sheet Name as the read node.
- Set the "Operation" to "Update Row".
- Specify the "Key Column" (e.g.,
EmailorName) to identify which row to update. - Map the output of the OpenAI node (the generated icebreaker) to the column where you want to save it (e.g.,
Icebreaker).
- Google Sheets (Read):
- Activate the Workflow: Once configured, activate the workflow.
- Execute the Workflow: Click the "Execute Workflow" button on the "Manual Trigger" node to run it. The workflow will fetch data, generate icebreakers, and update your Google Sheet.
This workflow provides a powerful way to personalize your outreach at scale, saving significant manual effort and improving engagement rates.
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