nickgallick Skill: Outbound Intelligence
Frameworks for evaluating outbound/sales-driven products and designing actual cold outreach. Use when: (1) evaluating whether an outbound SaaS idea has legs, (2) designing OUTBOUND's lead gen pipeline, (3) planning UberKiwi's cold email strategy.
Source: agency-agents/sales/sales-outbound-strategist.md
Signal-Based Selling Framework
Modern outbound converts 4-8x better when triggered by buying signals vs. untargeted cold outreach. Every outbound product or strategy should be evaluated against this hierarchy:
Signal Tiers (Ranked by Intent Strength)
Tier 1 — Active Buying Signals (Highest Priority)
- Direct intent: G2/review site visits, pricing page views, competitor comparison searches
- RFP or vendor evaluation announcements
- Technology evaluation job postings
- OUTBOUND example: A prospect visits 3 competitor pricing pages in one week → trigger immediate personalized outreach
- UberKiwi example: SMB posts "looking for web designer" in local Facebook group → same-day DM
Tier 2 — Organizational Change Signals
- Leadership changes in the buying persona's function (new VP = new priorities)
- Funding events (Series B+ = budget + urgency)
- Hiring surges in the department your product serves (scaling pain is real)
- M&A activity (integration = tool consolidation pressure)
- Agent Arena example: AI startup raises Series A and posts 5 ML engineer jobs → they need agent tooling
Tier 3 — Technographic & Behavioral Signals
- Tech stack changes (BuiltWith, Wappalyzer, job postings)
- Conference attendance or speaking on adjacent topics
- Content engagement: downloads, webinar attendance, social engagement
- Competitor contract renewal timing
- OUTBOUND example: Prospect's current email tool (Mailchimp) shows up in their job posting as "migrating from" → they're evaluating alternatives
Speed-to-Signal Rule
Signal half-life is short:
- < 30 minutes: Optimal response window
- < 24 hours: Still warm
72 hours: A competitor already had the conversation
- Implication for OUTBOUND product: real-time signal routing is a MUST-HAVE feature, not nice-to-have
ICP Refinement Framework
A useful ICP is falsifiable. If it doesn't exclude companies, it's a TAM slide, not an ICP.
ICP Definition Template
FIRMOGRAPHIC FILTERS
- Industry verticals: [2-4 specific, not "enterprise"]
- Revenue range or employee count band
- Geography
- Technology stack requirements (what must they already use?)
BEHAVIORAL QUALIFIERS
- What business event makes them a buyer RIGHT NOW?
- What pain does your product solve that they cannot ignore?
- Who inside the org feels that pain most acutely?
- What does their current workaround look like?
DISQUALIFIERS (equally important — most ICPs skip this)
- What makes an account look good on paper but never close?
- Industries or segments where win rate is below 15%
- Company stages where the product is premature or overkill
UberKiwi ICP Example
FIRMOGRAPHIC: Local service businesses (plumbers, dentists, realtors), 1-20 employees, US-based, no existing website OR website older than 3 years
BEHAVIORAL: Just opened a new location, got a bad Google review mentioning "couldn't find your website", or hiring their first marketing person
DISQUALIFIERS: Franchises (corporate controls web), businesses with existing agency relationship under contract, businesses that explicitly say "I don't need a website"
OUTBOUND ICP Example
FIRMOGRAPHIC: B2B SaaS companies, 10-200 employees, Series A-B, using Salesforce or HubSpot
BEHAVIORAL: SDR team growing (hiring 3+ reps), current reply rates below 5%, recently appointed VP Sales
DISQUALIFIERS: Enterprise-only sales motion (no outbound volume), companies already using 3+ outbound tools (tool fatigue), companies with < 100 target accounts (too small for outbound tooling)
Tiered Account Engagement Model
Tier 1 (Top 50-100 accounts): Deep, Multi-Threaded
- Full account research: 10-K, earnings, strategic initiatives
- Multi-thread: 3-5 contacts (economic buyer, champion, influencer, end user)
- Custom messaging per persona referencing account-specific initiatives
- UberKiwi Tier 1: Local businesses Nick personally knows or has warm intros to
Tier 2 (Next 200-500): Semi-Personalized
- Industry-specific messaging with account-level personalization in opening line
- 2-3 contacts per account
- Signal-triggered sequence enrollment
- UberKiwi Tier 2: Businesses found via Google Maps with bad/no websites in target metros
Tier 3 (Remaining ICP-fit): Automated with Light Personalization
- Industry and role-based sequences with dynamic tokens
- Single contact per account
- Signal-triggered enrollment only
- OUTBOUND product: This tier is what OUTBOUND should automate — the tool should make Tier 3 feel like Tier 2
Multi-Channel Sequence Architecture
10-Touch Sequence Template (3-4 weeks)
Touch 1 (Day 1, Email): Signal-based opening + specific value prop + soft CTA
Touch 2 (Day 3, LinkedIn): Connection request with personalized note (no pitch)
Touch 3 (Day 5, Email): Share relevant insight/data tied to their situation
Touch 4 (Day 8, Phone): Call + voicemail referencing email thread
Touch 5 (Day 10, LinkedIn): Engage with their content or share relevant content
Touch 6 (Day 14, Email): Case study from similar company + clear CTA
Touch 7 (Day 17, Video): 60-second personalized Loom showing something specific
Touch 8 (Day 21, Email): New angle — different pain point or stakeholder perspective
Touch 9 (Day 24, Phone): Final call attempt
Touch 10 (Day 28, Email): Breakup email — honest, brief, leave door open
Cold Email Anatomy (High-Converting)
Subject line: 3-5 words, lowercase, looks like an internal email. Never clickbait/ALL CAPS/emoji.
- Good: "re: the new data team"
- Bad: "🚀 Scale Your Revenue 10x!"
Opening line (signal-based, personalized):
- Bad: "I hope this email finds you well."
- Bad: "I'm reaching out because [company] helps companies like yours..."
- Good: "Saw you just hired 4 data engineers — scaling the analytics team usually means the current tooling is hitting its ceiling."
Value prop (buyer's language, one sentence):
- Use their vocabulary, not marketing copy
- Specificity beats cleverness: numbers, timeframes, concrete outcomes
Social proof (optional, one line):
- "[Similar company] cut their [metric] by [number] in [timeframe]"
CTA (single, clear, low friction):
- Bad: "Would love to set up a 30-minute call to walk you through a demo"
- Good: "Worth a 15-minute conversation to see if this applies to your team?"
Reply Rate Benchmarks
| Approach | Expected Reply Rate |
|---|---|
| Generic, untargeted | 1-3% |
| Role/industry personalized | 5-8% |
| Signal-based with account research | 12-25% |
| Warm intro / referral | 30-50% |
Use these benchmarks when evaluating outbound SaaS ideas: if the product can move users from 1-3% to 12-25%, that's a real value prop.
Evaluating Outbound SaaS Ideas (Scout Application)
When researching an outbound/sales tool idea, score against:
- Does it help detect signals? (Tier 1/2/3 from above)
- Does it help act on signals faster? (Speed-to-signal)
- Does it help personalize at scale? (Moving Tier 3 engagement to feel like Tier 2)
- Does it help measure what works? (Reply rates, conversion, channel effectiveness)
- Does it integrate with existing workflow? (Salesforce, HubSpot, Gmail, LinkedIn)
If the product only does 1 of these 5, it's a feature, not a product. If it does 3+, it's worth evaluating further.
Changelog
- 2026-03-22: Created from agency-agents/sales-outbound-strategist.md — adapted for OUTBOUND product evaluation and UberKiwi sales