Analyze A/B test results for statistical significance with ship, extend, or kill recommendations
日本語の概要は準備中です。原文の説明を表示しています。
Track key contacts who change jobs and draft warm outreach to movers at ICP companies
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Monitors a list of champion contacts (past buyers, advocates, warm contacts, conference connections) for job changes. When a champion moves to a new company matching ICP, the skill scores the new company's fit, researches their needs, and drafts warm "congrats on the new role" outreach. The warmest leads in B2B come from past relationships at new companies.
agency.config.json in the project rootcompany-researcher for new-company analysiscold-email-drafter for email generation (note: these are warm, not cold)company-researcher -- for researching the champion's new companyperson-researcher -- for updated contact details at new companylead-scorer -- for scoring the new company against ICPcrm-writer -- for updating CRM with job change dataagency.config.json from the project root.icp.segments[] -- for matching new companiesicp.geography -- target geographiesicp.company_size -- target size rangeservices[] for mapping to new company needs.case_studies[] for proof points (especially the champion's own results if they were a past client).champions[] in config:
{
"champions": [
{
"name": "John Smith",
"linkedin": "https://linkedin.com/in/johnsmith",
"relationship": "past_buyer",
"last_company": "Acme Corp",
"last_title": "Head of E-commerce",
"notes": "Closed $75K deal, great results, strong advocate",
"last_checked": "2024-02-15"
}
]
}
If no champion list exists, help the user build one:
Champion categories:
CHAMPION TYPES
===
1. Past buyers -- people who purchased your services at a previous company
2. Past evaluators -- people who went through your sales process but didn't buy (friendly no)
3. Advocates -- people who have referred you or spoken positively about your work
4. Conference connections -- people you've met at events with warm rapport
5. Content engagers -- people who regularly engage with your content
6. Industry friends -- people in your network with relevant titles at target companies
For each champion, collect:
For each champion on the list, check for recent job changes:
Search queries (via WebSearch):
- "[Champion Name]" site:linkedin.com
- "[Champion Name]" "new role" OR "excited to announce" OR "joined" [current_year]
- "[Champion Name]" "[Last Known Company]" -- verify still there or moved
- "[Champion Name]" "Head of" OR "Director" OR "VP" [current_year]
Detection methods:
For each champion, determine status:
STATUS: [Champion Name]
===
Previous: [title] at [company]
Current: [title] at [new company] -- MOVED (detected [date])
OR
Current: [same title] at [same company] -- NO CHANGE
OR
Current: UNKNOWN -- could not determine current position
For each champion who has moved, research their new company:
Company analysis:
NEW COMPANY PROFILE: [Company Name]
===
Website: [URL]
Industry: [sector]
Size: [employees, revenue estimate]
Platform: [Shopify / other -- check their store]
Geography: [HQ location]
ICP match:
- Industry fit: [match/partial/miss]
- Size fit: [match/partial/miss]
- Geography fit: [match/partial/miss]
- ICP score: [0-100]
Current state:
- Website/store quality: [basic/decent/polished]
- Issues visible: [list any obvious problems]
- Recent activity: [new products, campaigns, growth signals]
Champion's likely mandate:
- Role: [their new title]
- Probable priorities: [what someone in this role at this stage company focuses on]
- Budget authority: [likely/possible/unlikely]
- Decision timeline: [first 90 days is the sweet spot]
Score each mover on outreach priority:
CHAMPION MOVER SCORING
===
Champion | Relationship | New Company ICP | Role Level | Timing | Score
---------------|-------------|-----------------|------------|-----------|------
John Smith | Past buyer | 95 (strong) | Director | 2 weeks | 96
Sarah Jones | Advocate | 80 (good) | Manager | 1 month | 82
Mike Chen | Conference | 70 (fair) | VP | 3 months | 68
Lisa Wang | Evaluator | 90 (strong) | Head of | 1 week | 88
Scoring weights:
For each champion mover at an ICP company, draft personalized outreach:
Tone: warm and congratulatory, not salesy. These are relationships, not cold prospects.
Email template structure:
Subject: Congrats on [Company Name]!
"Hey [First Name],
Saw you joined [Company] as [Role] -- congrats! That's a great move.
[Personal reference to shared history: "Loved working with you at [Old Company]"
or "Great catching up at [event]" or "Still impressed by the [result] we got
at [Old Company]."]
[Light observation about new company: "I took a look at [Company]'s store --
there's a lot of potential there" or "[Company] is doing interesting things
in [space]."]
[Soft bridge]: "If you're looking at [service area] as you settle in,
I'd love to share what's been working for similar brands lately."
No pressure at all -- just wanted to say congrats and reconnect.
[Sign-off]"
What NOT to do:
Generate for each mover:
Return structured JSON:
{
"champion_tracker": {
"scan_date": "2024-03-15",
"champions_monitored": 25,
"movers_detected": 4,
"icp_matches": 3,
"results": [
{
"champion": {
"name": "John Smith",
"linkedin": "URL",
"relationship": "past_buyer",
"history": "Closed $75K deal at Acme Corp, 40% conversion lift"
},
"previous": {
"company": "Acme Corp",
"title": "Head of E-commerce"
},
"current": {
"company": "NewBrand Co",
"title": "VP of Digital",
"start_date": "2024-03-01",
"days_in_role": 14
},
"new_company_analysis": {
"website": "https://newbrand.co",
"icp_score": 95,
"platform": "Shopify",
"store_quality": "basic",
"issues": ["default theme", "no CRO optimization", "poor mobile experience"],
"predicted_needs": ["store revamp", "CRO", "performance marketing"]
},
"outreach_priority_score": 96,
"outreach": {
"email_subject": "Congrats on NewBrand!",
"email_body": "",
"linkedin_message": "",
"follow_up_email": ""
}
}
],
"no_change": 20,
"unknown_status": 1,
"summary": {
"high_priority_movers": 2,
"top_opportunity": "John Smith moved to NewBrand Co as VP Digital -- past buyer, strong ICP match",
"next_scan_recommended": "2024-03-29"
}
}
}
Update CRM via crm-writer:
Set up recurring scan cadence:
After each scan, update last_checked date for each champion in config or CRM.
Trigger phrases:
User: Check if any champions changed jobs
Assistant: [reads champion list from config/CRM, searches LinkedIn for each, finds 4 movers, 3 at ICP companies, drafts warm congratulatory outreach for each with personalized references to shared history, logs new company leads to CRM]
User: John Smith just moved to NewBrand -- draft outreach
Assistant: [researches NewBrand, checks ICP fit (95 score), reviews history with John ($75K deal, 40% lift), drafts warm email referencing their past work together and a subtle observation about NewBrand's store]
User: Add these 5 people to the champion list
Assistant: [adds contacts to champions config with relationship type, last known company, notes, and today's date as baseline, runs first scan immediately]
まだレビューはありません。使ってみた感想をお寄せください。
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日本語の概要は準備中です。原文の説明を表示しています。