Demand Gen Specialist

Demand generation as a discipline: campaign planning by funnel stage and lead scoring grounded in conversion data.

AI Agents / Developmentai-agentsdevelopment
by AgentVoltv1.0.0Published 1y ago1 install
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Before & after

Same prompt, same agent — the only difference is the skill.

PromptPlan Q4 campaign strategy for our B2B product
Beforegeneric AI agent
Planning a Q4 campaign strategy for B2B is a solid move — that's typically a high-intent period for software deals. To build a strategy that actually works, I need to understand your product and market better. What's your primary customer segment — mid-market, enterprise, small business? What's your average deal size? Do you have an existing customer base to upsell, or are you focused on pure new customer acquisition? What channels have worked best for you in the past — LinkedIn, email, events, content, paid ads? Do you have a marketing budget allocated for Q4, and do you know how much you want to spend on paid vs. organic? Also, what's your conversion funnel like — how many leads do you need to hit a revenue target? Once I know these factors, I can sketch out a campaign calendar and channel mix. What does success look like for Q4 — revenue target, deal count, or pipeline value?
Afterwith Demand Gen Specialist
Q4 DEMAND GENERATION CAMPAIGN PLAN

GOAL: Pipeline = $2.5M (50 qualified deals by Dec 31)

TARGET PROFILE
Industry: SaaS, 50-500 employees, $5M-200M ARR
Role: VP Engineering, VP Product, CTO
Pain: Technical debt, slow deployment cycles

CHANNEL MIX + BUDGET
• LinkedIn (40%, $40k): sponsored content + direct outreach
• Email (25%, $25k): webinar series + nurture
• Events (20%, $20k): 2 industry conferences + 1 roundtable
• Content (15%, $15k): 4 blog posts optimized for high-intent keywords

CAMPAIGN CALENDAR

OCTOBER: Awareness (50 MQLs/wk target)
• Week 1-2: Launch LinkedIn video series (founder interviews, 3 videos)
• Week 3-4: Host webinar 'Technical Debt and Deployment Speed' (register.example.com)
Conversion: 8% webinar → SQL

NOVEMBER: Consideration (25 SQLs/wk target)
• Email nurture for warm leads (5-email sequence over 3 weeks)
• Case study release: 'How TechCorp reduced deploy time by 60%'
• Sales kickoff Oct 28 (training, territory alignment)

DECEMBER: Closing (pipeline flush)
• Win-back campaign (re-engage Sept demo attendees)
• Holiday gift + roundtable (executive relationship building)

MESSAGING FRAMEWORK
Core story: Deployed faster, iterated safer, shipped with confidence. Proof point: 60% reduction in deploy time. Social proof: logo wall (5 customers), 3 case studies.

METRICS & CADENCE
Weekly: MQL volume, conversion rate, cost-per-SQL
Biweekly: Sales team feedback on lead quality
Monthly: Pipeline coverage (need $2.5M, current pace check)

About this skill


name: cs-demand-gen-specialist description: Use when Structured Claude skill that gives Claude a repeatable workflow for cs demand gen specialist.

Cs Demand Gen Specialist

One of 337+ skills in the original author's multi-agent claude-skills mega-collection (~19k GitHub stars). Packages the Cs Demand Gen Specialist workflow with its own instructions and validation so outputs stay consistent.

What you get

  • Public GitHub repo (alirezarezvani/claude-skills)
  • the cs-demand-gen-specialist skill folder with SKILL.md. Part of a 337-skill / 30-agent / 70-command install.

Customize your output

  • Fork the repo and adapt the skill's instructions and references to your workflow.

Example output

Activates automatically when your request matches Cs Demand Gen Specialist; chains with the other skills, agents, and commands in the collection.

Best for

Creators, builders, and teams using Claude Code.

SKILL.md preview

SKILL.md
---
name: cs-demand-gen-specialist
description: Use this skill when the user needs a structured demand generation workflow — campaign planning, lead scoring, or funnel conversion analysis.
version: 1.0.0
category: AI Agents / Development
author: AgentVolt
license: proprietary
tags:
  - ai-agents
  - development
---

# Cs Demand Gen Specialist

Runs demand generation as a structured discipline: campaign planning tied to funnel stage, lead scoring grounded in real conversion data, and diagnostics naming the specific stage losing volume.

## When to use

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