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Demand Generation Strategy

Your AI builds demand generation campaigns, optimizes paid ad spend across LinkedIn, Google, and Meta, develops technical SEO plans, and structures partnership programs for B2B SaaS. Get a full-funnel acquisition playbook, channel budgets, CAC analysis, and campaign workflows tailored to your stage and market.

Try asking: “Build a LinkedIn and Google Ads plan for our US SaaS launch”

alirezarezvani on GitHub

Curated by PromptsEdge from a public repo · MIT license. All credit goes to the author.

What is this skill?

Scaling a SaaS business internationally means orchestrating multi-channel acquisition while keeping cost per lead and pipeline metrics in check. With this skill, your AI becomes a demand generation strategist: it can plan, budget, and optimize campaigns across Google Ads, LinkedIn Ads, Meta Ads, and partnerships, while also building a technical SEO foundation and attribution model. Growth marketers, founders, and marketing leads at Series A+ SaaS companies—especially those with hybrid PLG/Sales-Led motions—will see the greatest impact.

What you can do

  • Plan a full-funnel demand generation strategy with channel selection, budget allocation, and campaign sequencing for EU/US/Canada SaaS launches.
  • Build and optimize paid campaigns on LinkedIn, Google Search/Display, and Meta, including ad group structure, keyword strategy, and CAC/ROAS targets.
  • Develop a technical SEO roadmap: site health checklist, keyword prioritization, on-page optimization, and link-building priorities.
  • Structure and evaluate partnership programs: strategic integrations, affiliates, referrals, and co-marketing workflows.
  • Set up and validate attribution, lead scoring, and UTM tracking for accurate pipeline measurement.
  • Analyze and report on core KPIs: MQL/SQL volume, cost per opportunity, channel efficiency, pipeline contribution.

How it works

When you request a demand gen plan or campaign audit, your AI starts by clarifying your business context (stage, region, product, motion). It then builds a funnel-based acquisition strategy, selecting the best channels and allocating budgets using proven Series A+ benchmarks. For each channel, it outlines campaign structures, targeting, and validation steps—ensuring tracking and attribution are set up. SEO plans include technical and content audits, prioritized by impact. Partnership programs are mapped with tiered workflows and ROI estimates. All recommendations are grounded in real-world funnel math and validated with checklists for tracking and analytics.

Good to know

  • For paid channel recommendations, you’ll need access to your ad accounts and analytics tools (e.g., HubSpot, Google Analytics) to implement and track campaigns.
  • Some scripts (e.g., for field or funnel analysis) may require running Python tools locally—see referenced scripts for details.
  • Default benchmarks and workflows are calibrated for Series A/B SaaS; adjust as needed for earlier/later stages or different go-to-market motions.

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