Prospecting Research
Systematically research target accounts and contacts to craft personalized, relevant outreach that cuts through the noise.
When to Use This Skill
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Preparing for high-value outbound
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Personalizing enterprise outreach
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Building account intelligence
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Training SDRs on research
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Creating target account profiles
Methodology Foundation
Based on Jeb Blount's Fanatical Prospecting and TOPO Account-Based Research, combining:
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Company intelligence gathering
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Contact profiling
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Trigger identification
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Angle development
What Claude Does vs What You Decide
Claude Does You Decide
Structures research framework Time per account
Identifies key data points Outreach approach
Suggests personalization angles Which angle to use
Creates research templates Tool selection
Synthesizes findings Message crafting
Instructions
Step 1: Company Research
Firmographic Data:
Data Point Source Why It Matters
Company size LinkedIn, website ICP fit
Revenue ZoomInfo, news Budget potential
Industry LinkedIn Relevance
Locations Website Territory
Tech stack BuiltWith, job posts Integration fit
Business Context:
Data Point Source Why It Matters
Recent funding Crunchbase, news Budget, growth mode
Executive changes LinkedIn, news New priorities
Product launches Press releases Initiatives
Earnings/reports SEC, investor calls Priorities, challenges
Partnerships News Ecosystem
Step 2: Contact Research
Professional Profile:
Data Point Source Why It Matters
Current role LinkedIn Relevance
Tenure LinkedIn Influence level
Career path LinkedIn Context
Content shared LinkedIn, Twitter Interests
Mutual connections LinkedIn Warm intro
Personal Connection Points:
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Shared alma mater
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Previous company overlap
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Mutual connections
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Content they've created
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Events they've attended
Step 3: Identify Triggers
Timing Triggers:
Trigger Implication
New in role Building stack, making changes
New company Bringing solutions from previous
Funding Budget available
Hiring Scaling, needs support
Bad earnings Cost cutting or growth push
Step 4: Develop Angles
Personalization Hierarchy:
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Trigger-based - Strongest (funding, hire, news)
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Content-based - Strong (their posts, interviews)
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Company-based - Good (industry, challenges)
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Mutual connection - Good (warm intro potential)
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Generic - Weak (avoid)
Examples
Example 1: Full Account Research
Output:
Account Research: DataFlow Systems
Company Snapshot
| Attribute | Value | Source |
|---|---|---|
| Company | DataFlow Systems | |
| Industry | B2B SaaS (Analytics) | |
| Size | 340 employees | |
| Revenue | ~$50M ARR (est.) | ZoomInfo |
| Founded | 2018 | Crunchbase |
| HQ | Austin, TX | Website |
| Funding | $45M Series B (Oct 2024) | Crunchbase |
Technology Stack
| Category | Tool | Source |
|---|---|---|
| CRM | Salesforce | BuiltWith, Jobs |
| Marketing | HubSpot | BuiltWith |
| Analytics | Mixpanel | Careers page |
| Data | Snowflake | Job posting |
| [Your Category] | None detected | Research |
Implication: Salesforce user = good fit for integration. No tool in our category = greenfield opportunity.
Recent Triggers
| Date | Trigger | Relevance |
|---|---|---|
| Oct 2024 | Series B ($45M) | Budget for tools |
| Nov 2024 | VP Sales hired | New leader = new tools |
| Dec 2024 | 12 SDR positions posted | Scaling outbound |
| Jan 2025 | G2 reviews mention "[pain]" | Known problem |
Business Context
From LinkedIn:
- Growing 60% YoY (CEO post)
- Expanding to enterprise segment (VP Sales announcement)
- Recent product launch: AI analytics features
From News:
- Named to "Top 50 Startups" list
- Partnership with [Complementary Company]
- CEO spoke at [Industry Conference]
From Job Posts:
- Hiring: SDRs (12), AEs (5), RevOps (1)
- Reveals: Scaling sales org significantly
- Tech stack mentioned: Salesforce, Gong, Outreach (competitor!)
Challenges (Inferred)
Based on triggers and context:
- Scaling sales team - Need tools to support
- Moving upmarket - Enterprise processes needed
- Rev Ops hire - Building infrastructure
- Competitor in stack - May be open to alternatives
Target Contacts
| Name | Title | Priority | Angle |
|---|---|---|---|
| Sarah Kim | VP Sales | Primary | New to role (90 days) |
| Mike Chen | RevOps Manager | Secondary | Posted RevOps opening |
| David Park | CEO | Executive | Series B scaling |
Recommended Approach
Primary Target: Sarah Kim, VP Sales
- New to role = making changes
- Scaling team = needs tools
- Moving upmarket = needs process
Angle: "Congrats on the VP role and Series B! I noticed you're hiring 12 SDRs. Most VP Sales at your stage tell me [challenge] is their biggest issue. Curious if that's true for you?"
Secondary Path:
- RevOps Manager Mike Chen (operational angle)
- Mutual connection: [Name] (former colleague)
Example 2: Contact Deep Dive
Output:
Contact Research: Sarah Kim, VP Sales
Profile Summary
| Attribute | Value |
|---|---|
| Name | Sarah Kim |
| Title | VP of Sales |
| Company | DataFlow Systems |
| Location | Austin, TX |
| Tenure | 3 months (started Oct 2024) |
| linkedin.com/in/sarahkim |
Career Path
| Period | Company | Role | Relevance |
|---|---|---|---|
| 2024-Present | DataFlow | VP Sales | Target |
| 2021-2024 | ScaleUp Inc | Director Sales | Previous tools? |
| 2018-2021 | BigCorp | Sales Manager | Enterprise exp |
| 2015-2018 | StartupXYZ | AE | SMB background |
Insight: Rose through ranks. Enterprise + SMB experience. First VP role = motivated to succeed.
Content Activity
LinkedIn Posts (Last 90 days):
- "Excited to join DataFlow!" (Oct)
- Shared article on "Scaling SDR teams"
- Commented on post about sales forecasting
- Posted about team offsite (Dec)
Themes: Sales leadership, team building, scaling
Quote-worthy: "The hardest part of scaling isn't hiring—it's making sure every rep can sell like your best rep."
Connection Points
| Type | Detail | Approach |
|---|---|---|
| Mutual Connection | John Smith (2nd degree) | Ask for intro |
| Content | Scaling article | Reference in outreach |
| Alma Mater | Stanford MBA | Mention if relevant |
| Previous Company | ScaleUp used our competitor | Migration angle |
Professional Interests
Based on activity:
- Sales enablement
- Team scaling
- Forecasting accuracy
- Rep productivity
Personalization Angles
Angle 1: New VP + Scaling (Strongest)
Hi Sarah,
Congrats on the VP role at DataFlow—and jumping into a Series B scaling mode!
I noticed you shared that article on scaling SDR teams. The quote "making every rep sell like your best rep" really resonated.
That's exactly what [Similar Customer] focused on when they went from 5 to 50 reps.
Curious: what's your #1 challenge as you build out the team?
Angle 2: Content-Based
Hi Sarah,
Loved your take on the hardest part of scaling: "making every rep sell like your best rep."
I work with a lot of VP Sales going through exactly that transition. The common thread? [Insight from our customers].
Worth comparing notes?
Angle 3: Mutual Connection
Hi Sarah,
John Smith mentioned you just took over sales at DataFlow—congrats!
He thought we should connect given your focus on [area].
Would love to hear what's top of mind as you build out the team.
Red Flags / Cautions
- Just started (Oct) - may not have full authority yet
- Previous company used competitor - could be loyal
- No public content about specific pain points
Recommended Sequence
Day 1: Email (Angle 1 - New VP + Scaling) Day 1: LinkedIn connection (mention scaling article) Day 3: Follow-up email with customer story Day 5: LinkedIn voice note Day 7: Final email with value offer
Expectation: 20-30% response rate with this level of personalization
Skill Boundaries
What This Skill Does Well
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Structuring research process
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Identifying personalization angles
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Finding trigger events
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Synthesizing intelligence
What This Skill Cannot Do
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Access paid databases
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Verify data accuracy
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Replace genuine relationship building
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Write final message copy
References
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Jeb Blount's Fanatical Prospecting
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TOPO Account-Based Research
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SalesLoft Personalization Guide
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Outreach.io Research Best Practices
Related Skills
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icp-matching
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Qualify before research
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signal-monitoring
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Trigger identification
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outbound-sequencer
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Use research in sequences
Skill Metadata
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Domain: SDR Automation
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Complexity: Intermediate
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Mode: cyborg
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Time to Value: 15-30 min per account
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Prerequisites: Research tool access