The Social Signal Agent
This automation monitors the LinkedIn activity of a list of prospects, identifies posts containing specific buying signals, and alerts your sales team in real-time with AI-suggested actions.
Eduardo Rodriguez
Featured Apps
This powerful sales agent transforms your lead list into a proactive opportunity-finding machine. Here's how it works:
- Reads Prospects: The agent starts by reading a list of prospects from a Google Sheet you provide. It expects to find columns for the person's name and their LinkedIn profile URL.
- Monitors LinkedIn: It then connects to LinkedIn and retrieves the most recent posts for each person on your list within a specified timeframe (e.g., the last 7 days).
- AI-Powered Analysis: For each post, an advanced AI model reads the content and analyzes it against a list of keywords you define. It looks for "buying signals"—phrases that indicate a person is looking for a new tool, hiring for a specific role, or discussing a problem your product solves.
- Generates Actions: When a match is found, the AI generates a brief summary of the post and suggests a concrete sales action, such as scheduling a demo or sharing a relevant case study.
- Logs Findings: All positive findings are neatly organized and logged in a new "Findings" tab within your original Google Sheet, creating a permanent record of all identified opportunities.
- Real-Time Alerts: Simultaneously, the agent sends a notification to a designated Slack channel with all the key details, allowing your sales team to act on the opportunity immediately.
Usage Ideas
- Track a list of target accounts and get notified when key decision-makers post about a pain point you solve.
- Monitor existing customers for upsell opportunities when they post about new projects or company growth.
- Keep an eye on industry influencers or conference speakers to find timely engagement opportunities.
- As a recruiter, monitor a list of top candidates and get alerted when they post about looking for new roles or learning new skills.
Customization Ideas
You can easily tailor this automation to fit your team's exact needs. An AI assistant can help you make these changes:
- Target Your Niche: Use any set of keywords to find the buying signals most relevant to your business.
- Use Your Own Data: Connect your own Google Sheet containing your list of prospects. You can also customize the column names the agent looks for.
- Control the Timeframe: Decide how far back the agent should look for posts, from a single day to several months.
- Guide the AI: Influence the type of sales actions the agent suggests to align with your team's playbook.
- Notify Your Team: Send alerts to any public Slack channel to ensure opportunities are seen by the right people.
- Customize Your Reports: Change the columns in the output sheet and the format of the Slack messages to include the information that matters most to you.
- Switch Your Tools: While this template uses Google Sheets for data and Slack for alerts, you could modify it to read from or write to other services, such as a CRM, or send notifications via email.
Agent Inputs
Required Parameters
Name | Type | Default |
|---|---|---|
googleSheetUrl | string | None |
Full URL of the Google Sheet containing profiles to monitor. The sheet must have 'Name' and 'Profile URL' columns. | ||
keywords | array<string> | [] |
Keywords to search for in LinkedIn posts. At least one keyword is required. | ||
slackChannel | string | None |
Slack channel name for sending alerts (without the # prefix, e.g., 'sales-alerts'). | ||
Optional Parameters
Name | Type | Default |
|---|---|---|
daysToAnalyze | number | 7 |
Number of days to look back when analyzing posts. Valid range is 1-90. | ||
suggestedActionType | enum Options: democase_studyschedule_callauto | auto |
Type of sales action to suggest: 'demo' (schedule a product demo), 'case_study' (share a relevant case study), 'schedule_call' (schedule a discovery call), or 'auto' (automatically determine best action). | ||
