# Funding Signal Outreach > Outreach triggered by funding events with post-funding needs analysis and personalized drafts - Skill: `ekatasingh1107/funding-signal-outreach` (Agent Skill, multi-file: 2 files) - Install (CLI): `npx skillmds add ekatasingh1107/funding-signal-outreach` - Raw SKILL.md: https://api.skillmd.com/api/skills/ekatasingh1107/funding-signal-outreach/raw - Safety review: pending (external: skill-scanner PASS, skillspector PASS) - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Coding & Dev Tools - Author: ekatasingh1107 (https://skillmd.com/u/ekatasingh1107) - Updated: 2026-08-19 - Page: https://skillmd.com/skills/ekatasingh1107/funding-signal-outreach --- # Funding Signal Outreach Monitors and acts on funding announcements from companies matching ICP. For each funded company, researches what they will likely need post-funding, matches needs to agency services, scores timing urgency, and drafts personalized outreach referencing their round. Outputs qualified leads with funding context and ready-to-send messages. ## Prerequisites - `agency.config.json` in the project root - WebSearch tool for finding funding announcements - Optional: `company-researcher` for deep company analysis - Optional: `cold-email-drafter` for polished email generation - Optional: `person-researcher` for finding the right contact ## Capabilities Used 1. `company-researcher` -- for deep-dive on funded companies 2. `person-researcher` -- for identifying decision-makers at funded companies 3. `cold-email-drafter` -- for generating polished outreach emails 4. `lead-scorer` -- for scoring the funded company against ICP 5. `crm-writer` -- for logging qualified leads to CRM ## Phase 0: Read Config 1. Read `agency.config.json` from the project root. 2. Extract ICP definition: - `icp.segments[]` -- target segments with industry, size, geography - `icp.geography` -- target geographies - `icp.company_size` -- revenue or employee range 3. Extract `services[]` -- services to match against post-funding needs. 4. Extract `outreach.tone` and `outreach.banned_phrases` for email drafting. 5. Extract `case_studies[]` for proof points relevant to funded companies. 6. Check `tools.research` for data source preferences. ## Phase 1: Search for Funding Announcements Search for recent funding events matching ICP: **Search queries (via WebSearch):** ``` - "[industry] funding announcement [current_month] [current_year]" - "[industry] Series A OR Series B OR seed round [geography]" - "D2C brand funding [geography] [current_year]" - "e-commerce startup funding round [current_month]" - site:techcrunch.com "[industry] funding [current_year]" - site:crunchbase.com "[industry] funding rounds" - "[geography] startup funding news this week" ``` **Additional sources to check:** - Crunchbase recent rounds (via WebSearch: `site:crunchbase.com/funding_round`) - TechCrunch funding coverage - Inc42 (for India), TechInAsia (for Asia) - Press releases on PR Newswire / BusinessWire - LinkedIn funding announcements For each result, extract: ``` Company: [name] Round: [Seed / Series A / Series B / etc.] Amount: $[X]M Date: [announcement date] Investors: [lead investor(s)] Industry: [sector] Geography: [HQ location] Website: [URL] Source: [where we found this] ``` ## Phase 2: Filter and Match to ICP Score each funded company against ICP: ``` ICP MATCH SCORING === Company | Industry Match | Geo Match | Size Match | ICP Score | Status -----------------|---------------|-----------|------------|-----------|-------- FreshD2C | D2C (exact) | India | Series A | 95/100 | STRONG GlowSkin | Skincare D2C | US | Seed | 80/100 | GOOD TechWidget | SaaS (miss) | India | Series B | 30/100 | SKIP SportyBrand | Sports D2C | UK | Series A | 85/100 | GOOD ``` Discard companies with ICP score below 50. Proceed with matches. ## Phase 3: Post-Funding Needs Analysis For each qualified company, predict what they need post-funding: **Post-funding need patterns by round:** | Round | Typical Needs | Timing Urgency | |-------|--------------|----------------| | Seed | Brand identity, initial store build, MVP website | HIGH -- building from scratch | | Series A | Scale operations, revamp website, CRO optimization, marketing | HIGH -- pressure to grow fast | | Series B | Performance marketing at scale, international expansion, advanced CRO | MEDIUM -- already have some team | | Series C+ | Enterprise features, custom development, data infrastructure | LOW -- likely have in-house team | **Research each company (via WebSearch and company-researcher):** ``` POST-FUNDING NEEDS ASSESSMENT: [Company Name] === Round: Series A ($5M) Current website: [URL] -- quality assessment Current Shopify store: [yes/no, theme quality] Current team size: [N] (check LinkedIn) Open positions: [roles being hired -- indicates gaps] Recent press: [what they say they'll use funds for] Predicted needs: 1. [Need 1 -- e.g., "Store revamp -- current site is basic Shopify theme"] 2. [Need 2 -- e.g., "CRO -- scaling traffic without optimized conversion"] 3. [Need 3 -- e.g., "Catalog management -- expanding from 50 to 200 SKUs"] Service match: - [Your service 1] matches need [1] -- relevance: HIGH - [Your service 2] matches need [2] -- relevance: HIGH Timing urgency: HIGH (Series A companies typically spend on growth within 3 months of closing) ``` ## Phase 4: Score and Rank Leads Score each lead on: ``` LEAD SCORING === Company | ICP Fit | Funding Recency | Need Match | Timing | Total Score ------------|---------|-----------------|------------|--------|------------ FreshD2C | 95 | 5 days ago | 3 services | HIGH | 92/100 SportyBrand | 85 | 12 days ago | 2 services | HIGH | 85/100 GlowSkin | 80 | 30 days ago | 2 services | MEDIUM | 72/100 ``` **Scoring weights:** - ICP fit: 30% - Funding recency (prefer last 30 days): 25% - Service need match: 25% - Timing urgency: 20% ## Phase 5: Draft Personalized Outreach For each qualified lead, draft outreach using the Signal-Proof-Ask framework: **Email structure:** ``` Subject: Congrats on the [round] -- [specific observation] [Reference the funding]: "Saw [Company] just closed [round] -- congrats. [Most companies at this stage face X]." [Match to their need]: "With [amount raised], you're likely [scaling/revamping/expanding]. We've helped [similar company] do exactly that." [Proof point]: "[Case study result -- specific metric]." [Soft CTA]: "Worth a quick look at how this could work for [Company]?" ``` Generate for each lead: 1. Email draft (using `cold-email-drafter` if available) 2. LinkedIn connection note (under 300 chars) 3. LinkedIn message (if already connected) **Personalization must include:** - The specific round and amount - A specific observation about their current website/store - A relevant case study matching their industry - A specific service recommendation based on their needs ## Phase 6: Output Return structured JSON: ```json { "funding_signal_outreach": { "search_date": "2024-03-15", "search_criteria": { "industries": ["D2C", "e-commerce"], "geographies": ["India", "US", "UK"], "round_types": ["Seed", "Series A", "Series B"], "recency": "last 30 days" }, "funding_events_found": 15, "icp_matches": 8, "qualified_leads": [ { "company": "FreshD2C", "website": "https://freshd2c.com", "round": "Series A", "amount": "$5M", "date": "2024-03-10", "investors": ["Sequoia India"], "icp_score": 92, "predicted_needs": ["store revamp", "CRO", "catalog management"], "service_matches": ["Shopify development", "CRO optimization"], "timing_urgency": "high", "contacts": [ { "name": "Founder Name", "title": "CEO", "linkedin": "URL", "email": "email@freshd2c.com" } ], "outreach": { "email_subject": "", "email_body": "", "linkedin_note": "", "linkedin_message": "" } } ], "summary": { "total_qualified": 5, "total_outreach_drafted": 5, "top_opportunity": "FreshD2C -- Series A, strong ICP match, 3 service needs" } } } ``` Log qualified leads to CRM via `crm-writer` (Researched Leads tab) with source tagged as "funding_signal." ## Example Usage **Trigger phrases:** - "Find companies that just raised funding in our ICP" - "Search for D2C funding announcements this month" - "Funding signal outreach for this week" - "Which startups just got funded that we should reach out to?" - "Find recently funded e-commerce companies in India" ``` User: Find recently funded D2C companies we should reach out to Assistant: [searches for D2C funding in last 30 days, finds 15 events, filters to 5 ICP matches, researches each company's website and needs, drafts personalized outreach referencing their specific round and current store gaps, logs to CRM] ``` ``` User: Any new funding rounds in Indian e-commerce this week? Assistant: [searches India-focused funding news, finds 3 new rounds, scores against ICP, identifies 2 strong matches, drafts outreach for each with relevant case studies] ```