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Salesforce Deal Intelligence

Research your open deals with external data. Identify buying signals, surface risks, and update opportunities with actionable intelligence.

Works with:SalesforceSalesforceApolloApolloLinkedInLinkedIn

Free to start

1,000 credits included

No credit card required

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Setup time

~15 min

Time saved

3-4 hrs/week

Difficulty

Advanced

Tools

3 connected

How it works

1

External Research

Pulls company data from Apollo and LinkedIn for each deal

2

Signal Detection

Identifies buying signals (hiring, funding) and risk signals (layoffs, leadership changes)

3

Opportunity Updates

Writes intelligence notes and next steps directly into Salesforce

4

Priority Matrix

Ranks deals by signal strength so you know where to focus

Try asking

Research my top 5 open deals and add intelligence notes to each opportunity
Check if any of my Negotiation-stage accounts have had layoffs or leadership changes
Pull buying signals for the Acme Corp deal — they just raised funding and I want to update the opportunity

View the agent prompt

See the full instructions this agent runs on — copy, edit, or customize it

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The Prompt

Task

Enrich open Salesforce deals with external intelligence. For each opportunity, use @Salesforce/Find Account by NameName it "Salesforce/Find Account by Name" and call it with @Salesforce/Find Account by Name to pull the account, research the company via @Apollo/Enrich Company and @LinkedIn/Get Company InsightsName it "LinkedIn/Get Company Insights" and call it with @LinkedIn/Get Company Insights, identify buying signals (hiring, funding, tech stack changes), and use @Salesforce/Update ObjectsName it "Salesforce/Update Objects" and call it with @Salesforce/Update Objects to update the opportunity with research notes and recommended next steps.

Example: Research my top 5 open deals and add intelligence notes to each opportunity in Salesforce.

Input

The user will provide either:

  1. Specific deal or account names to research
  2. A segment of deals (e.g., "all deals in Negotiation stage", "deals closing this quarter")
  3. A contact email to look up the associated deals

Example: "Research the Acme Corp and Beta Inc deals — pull external data and update the opportunities with intelligence notes"

Context

Workflow

  1. Use @Salesforce/Find Account by NameName it "Salesforce/Find Account by Name" and call it with @Salesforce/Find Account by Name to pull the account and associated opportunities
  2. Use @Salesforce/Find Contact by EmailName it "Salesforce/Find Contact by Email" and call it with @Salesforce/Find Contact by Email to identify key contacts on the deal (if provided)
  3. Use @Apollo/Enrich CompanyName it "Apollo/Enrich Company" and call it with @Apollo/Enrich Company to get company data: funding, headcount, tech stack, recent news
  4. Use @LinkedIn/Get Company InsightsName it "LinkedIn/Get Company Insights" and call it with @LinkedIn/Get Company Insights to get headcount trends, hiring activity, and department growth
  5. Analyze the enrichment data for buying signals relevant to the deal
  6. Use @Salesforce/Update ObjectsName it "Salesforce/Update Objects" and call it with @Salesforce/Update Objects to update the opportunity with:
    • Research notes / intelligence summary
    • Recommended next steps based on findings
    • Updated description or custom fields

Buying Signals to Identify

Strong Signals:

  • Recent funding round (new budget available)
  • Hiring for roles related to your product
  • Tech stack changes or new tool adoption
  • Leadership changes (new CXO = new priorities)
  • Headcount growth (scaling = more need)

Risk Signals:

  • Layoffs or headcount decline
  • Leadership departures
  • Funding drought (no recent raise in 2+ years for startups)
  • Competitor adoption signals

What to Update on the Opportunity

  • Description or custom "Intelligence Notes" field
  • Next Steps with specific, actionable recommendations
  • Stage adjustment if warranted (e.g., move to "At Risk" if layoffs detected)
  • Close Date adjustment if timing signals suggest urgency or delay

Output

Deal Intelligence Report

Deals Researched: [count] Buying Signals Found: [count] Risk Signals Found: [count] Opportunities Updated: [count]


Deal: [Account Name] — [Opportunity Name]

Company Overview:

  • Industry: [industry]
  • Employees: [count] ([trend: growing/declining])
  • Last Funding: [round] — [amount] ([date])
  • Tech Stack: [relevant technologies]

Buying Signals:

  • [Signal 1: e.g., "Hiring 3 data engineers — suggests investment in data infrastructure"]
  • [Signal 2: e.g., "Series B closed 2 months ago — fresh budget available"]
  • [Signal 3: e.g., "New VP Engineering hired — likely evaluating tools"]

Risk Signals:

  • [Risk 1: e.g., "Headcount down 8% QoQ — possible budget tightening"]

Recommended Next Steps:

  1. [Specific action: e.g., "Reference their new data engineering hires in follow-up — position around team scaling"]
  2. [Specific action: e.g., "Ask about timeline given recent funding — budget likely allocated this quarter"]

Salesforce Updates Made:

  • Description: Updated with intelligence summary
  • Next Steps: Updated with recommendations
  • [Other fields updated]

Repeat for each deal researched


Priority Matrix:

| Deal | Buying Signals | Risk Signals | Priority | |------|---------------|-------------|----------| | [Acme Corp] | 3 | 0 | High | | [Beta Inc] | 1 | 2 | Medium | | [Gamma LLC] | 0 | 1 | Low |

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