sales-navigator-prospecting

name	sales-navigator-prospecting
description	Run LinkedIn Sales Navigator prospecting using Morgan J. Ingram's AMP playbook — high-intent filters, filter-specific messaging, insight+question executive engagement, saved-search alerts, and a 15-minute daily workflow. Use when Sales Nav underperforms, reps blast one template, or you need executive response on LinkedIn. Triggers on: "Sales Navigator", "Sales Nav", "Morgan Ingram", "AMP Social", "posted in last 30 days", "filter-specific messaging", "LinkedIn prospecting", "book meetings LinkedIn", "saved search Sales Nav", "insight plus question", "social selling prospecting".
license	MIT
compatibility	Claude Code, Jesse, Codex, Hermes, Windsurf, OpenCode, Gemini CLI, Copilot, Zed, VS Code, Goose
metadata	{"version":"1.0.0","author":"LeadMagic","category":"inbound","tags":["linkedin","sales-navigator","prospecting","social-selling","outbound","sdr"],"related_skills":["social-selling","linkedin-algorithm","multi-channel-outreach","list-building","lead-finding","multi-thread-orchestration"],"frameworks":["Morgan J. Ingram (AMP Social) — Sales Navigator filter-specific prospecting","LinkedIn SSI Methodology","Richard van der Blom (Just Connecting) — LinkedIn Algorithm Insights Report"]}

Sales Navigator Prospecting

Overview

Most teams treat Sales Navigator as a $99/month contact export — find prospects, paste the same message 4,000 times, wonder why LinkedIn "doesn't work." Morgan J. Ingram (Founder, AMP Social; 4x LinkedIn Top Sales Voice) treats Sales Nav as an intent engine: stack behavioral filters (posted recently, following your company, viewed your profile, tenure windows), pair each filter with its own message, and run a 15-minute daily saved-search alert workflow.

This skill is the tactical Sales Nav layer. Load social-selling for profile optimization, SSI, and general DM sequencing; load linkedin-algorithm when reps also publish content and need feed reach mechanics.

When to Use

• "How do I actually use Sales Navigator?"
• "Sales Nav isn't generating meetings"
• "Morgan Ingram Sales Navigator playbook"
• "Filter-specific LinkedIn messages"
• "Get executives to respond on LinkedIn"
• "10-minute Sales Nav saved search"
• "Posted in last 30 days filter"
• "Build a Sales Nav workflow for my SDR team"

Authoritative Foundations

Morgan J. Ingram (AMP Social) — filter-specific prospecting. Public thesis: each Sales Navigator filter is a signal that deserves its own message — not one recycled script. Core motions: high-intent filter stacks, insight + question comments on recent posts, 24–48 hour wait before connect, saved-search weekly alerts, and multi-thread plays per account. Trained teams at Zoom, HubSpot, Snowflake (public positioning). Full filter tables, message library, and weekly workflow → references/morgan-ingram-sales-navigator.md.

LinkedIn SSI Methodology — professional brand, finding people, engaging with insights, building relationships. Use SSI as a diagnostic; Ingram's motion is the operational layer on top.

Richard van der Blom (Just Connecting) — when reps also post content, apply feed mechanics (dwell time, golden hour, no external links in posts) so profile traffic from Sales Nav outreach converts. → linkedin-algorithm.

Prerequisites

• Sales Navigator Core or Advanced seat
• ICP defined: titles, seniority, company size, geography
• Optimized personal profile (social-selling Phase 1)
• CRM or spreadsheet to log filter variant → response rate

Step-by-Step Process

Phase 1: Audit the Current Motion

1. Export last 30 days of LinkedIn outreach: message text, filter used (if any), sends, accepts, replies, meetings.
2. Flag one-template abuse — same body copy across unlike filters.
3. Baseline response rate by message variant; set improvement target per filter.

Phase 2: Build High-Intent Saved Searches

Create one saved search per motion (enable weekly alert):

1. Active executives — Posted last 30 days + VP/C-suite + ICP geo/industry.
2. Warm to brand — Following your company + target titles.
3. Profile viewers — Viewed your profile in last 90 days.
4. New in role — Years in company < 1 year + buyer titles.
5. Buying window — Years in company 6–12 months + buyer titles.

Document each search in a playbook table: filter stack, message variant ID, owner.

Phase 3: Write Filter-Specific Messages

Build 12+ variants minimum (see template table in reference). Rules:

• Open with the filter signal ("Noticed your post on…", "Saw you're [N] months into…", "Thanks for following [company]…").
• No product pitch in connection request or first DM.
• One clear question per touch; invite conversation.

Phase 4: Executive Engagement (Posted-in-30-Days)

1. Find recent post from saved-search lead.
2. Comment: insight + question (not "great post").
3. Wait 24–48 hours.
4. Connection request referencing the exchange.
5. After accept: DM with value; meeting ask only after rapport.

Phase 5: Weekly 15-Minute Rhythm

• Monday: triage saved-search alerts; rank by intent (viewed profile > posted > following company).
• Tue–Thu: comments + connection requests (batch 10–15/day per rep).
• Friday: DM follow-ups; log meetings; retire underperforming variants.

Phase 6: Multi-Thread Target Accounts

For ABM accounts, assign different filter plays per persona on the same account (exec, champion, technical). Coordinate in CRM to avoid duplicate pitches same week. → multi-thread-orchestration.

Output Format

Sales Navigator prospecting playbook: current-state audit, five saved-search definitions with filter stacks, 12 filter-specific message variants, executive engagement runbook (comment → wait → connect → DM), 15-minute daily/weekly calendar, multi-thread map for top accounts, and measurement dashboard (response rate by filter, meetings per search).

Quality Check

• Every saved search has a unique message variant (no generic blast)
• Executive motion uses insight+question, not "great post"
• 24–48 hour wait between comment and connection request documented
• Weekly alert enabled on each saved search
• Profile optimized before outreach scales (social-selling)
• CRM logs filter type for reply-rate analysis
• Multi-thread plan exists for tier-1 accounts

Common Pitfalls

1. One script for every filter. Wastes the strongest Sales Nav signals; Ingram's 5× pipeline lift illustration comes from filter-message matching.

2. Instant connect after comment. Reads as automation; breaks trust.

3. Skipping "viewed your profile" and "following company." Highest-intent free signals in the stack.

4. No tenure-based plays. New leaders (< 1 year) and month-6–12 operators have different pains — same message misses both.

5. Sales Nav without profile investment. Prospects check your profile; empty activity kills accept rates.

6. Attribution only in last-touch CRM. LinkedIn pipeline is often dark social — add self-reported source fields.

Execution Artifacts

• references/framework-notes.md — Framework index and authority routing
• templates/output-template.md — Deliverable shell
• scripts/check-output.py — Lightweight deliverable validator
• references/morgan-ingram-sales-navigator.md — Filters, messages, workflows

Related Skills

• social-selling: Profile, SSI, general DM sequencing
• linkedin-algorithm: Organic content reach when pairing with outbound
• list-building: Multi-source lists; Sales Nav as one source
• multi-channel-outreach: Email/call steps on same prospects
• multi-thread-orchestration: ABM persona coordination