Personalised Cold Outreach¶
Example prompt: "Take the list of 50 prospects in my Google Sheet, research each company's website, and draft a personalised cold email for each referencing something specific about their business."
How to automate personalised cold outreach with GloriaMundo¶
The Problem¶
Generic cold emails get ignored. The ones that work reference something specific about the recipient's business — a recent hire, a product launch, a pain point visible on their website. But researching 50 prospects individually and writing a custom opening for each takes a full working day or more. Most reps either batch-send generic templates (and get poor response rates) or only personalise for their top 5-10 targets (and miss the rest of their list).
How GloriaMundo Solves It¶
We build a workflow that reads your prospect list from a Google Sheet, then uses sub-agents to research each company in parallel. For every prospect, a web search step finds their company website and recent activity. A URL extract step pulls key details from the company's homepage or About page. An LLM step reads the research and drafts a short, personalised cold email that references something specific — a recent blog post, a new product feature, or an industry challenge relevant to their business. The drafts are written back to the Google Sheet (or saved as Gmail drafts) for your review before sending. Glass Box preview shows you a sample batch of drafts so you can adjust the tone and structure before running the full list.
Example Workflow Steps¶
- Trigger (manual): You run the workflow when a new prospect list is ready.
- Step 1 (integration): Read the prospect list from Google Sheets — names, email addresses, company names, and domains.
- Step 2 (sub_agent): For each prospect, spawn a research sub-agent that runs the following steps in parallel:
- Step 2a (web_search): Search for the prospect's company and recent activity.
- Step 2b (url_extract): Fetch the company's website to pull specific details.
- Step 2c (LLM): Draft a personalised cold email referencing a specific detail from the research. Keep it under 150 words, with a clear and relevant opening line.
- Step 3 (integration): Write the drafted emails back to the Google Sheet alongside each prospect's row, or save them as Gmail drafts.
Integrations Used¶
- Google Sheets — source of the prospect list and destination for draft emails
- Gmail — optional destination for saving drafts ready to review and send
Who This Is For¶
SDRs and founders doing outbound prospecting who want each cold email to feel researched and relevant, but cannot afford to spend a full day personalising 50 messages manually.
Time & Cost Saved¶
Manually researching a prospect and writing a personalised email takes roughly 10-15 minutes each. For a list of 50, that is 8-12 hours of work. This workflow produces researched, personalised drafts for the full list in minutes, leaving you to review and tweak rather than start from scratch. Even accounting for review time (1-2 minutes per draft), the total effort drops to around 2 hours. The workflow uses sub-agents, web search, URL extract, and LLM steps — credit cost scales with list size but remains modest for typical batches.