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SalesTech SaaS · Retainer

How a Solo Paid Media Specialist Delivers Agency-Level Depth

Claude Code and Claude Cowork have made massive waves in software development. Vibe coding went from a meme to a real workflow almost overnight. Engineers are shipping features faster, solo founders are building products that used to require teams, and the entire dev industry is rethinking what "headcount" means.

Everyone in tech has seen this happen. But here's the thing — paid media for B2B SaaS shouldn't be an exception. Especially when your clients are the tech industry that's building itself.

I run paid media for B2B SaaS companies — Google Ads, LinkedIn Ads, Meta Ads. End-to-end: from tracking infrastructure and attribution to campaign strategy, ad copy, creative, and pipeline reporting. This is traditionally a team effort: a strategist, an analyst, a media buyer, maybe a creative. Or you hire a freelancer and accept that some layers might be shallow.

Claude Projects and Skills changed this equation for me.

Claude Code and Claude Cowork have made massive waves in software development. Vibe coding went from a meme to a real workflow almost overnight. Engineers are shipping features faster, solo founders are building products that used to require teams, and the entire dev industry is rethinking what "headcount" means.

Everyone in tech has seen this happen. But here's the thing — paid media for B2B SaaS shouldn't be an exception. Especially when your clients are the tech industry that's building itself.

I run paid media for B2B SaaS companies — Google Ads, LinkedIn Ads, Meta Ads. End-to-end: from tracking infrastructure and attribution to campaign strategy, ad copy, creative, and pipeline reporting. This is traditionally a team effort: a strategist, an analyst, a media buyer, maybe a creative. Or you hire a freelancer and accept that some layers might be shallow.

Claude Projects and Skills changed this equation for me.

Claude Projects + Skills: The Intelligence Layer

Claude Projects + Skills: The Intelligence Layer

Claude Projects + Skills: The Intelligence Layer

Claude Skills and Plugins let you load real, deep expertise into the model — not generic marketing knowledge, but specific SOPs, frameworks, and methodology refined on actual B2B SaaS accounts. Combined with full client context (ICP documentation, CRM exports, ad performance data across all platforms, landing pages, competitor positioning, messaging guidelines), this isn't just faster work. It's significantly more work at the same quality bar.

Here's what this looks like in practice. Each of these is a specialized skill with its own context, instructions, and resources loaded:

  • Strategist — uses the 5 Stages of Awareness framework combined with full business context (budget, ICP, funnel stage, growth model, competitive landscape) to build paid acquisition strategy from the ground up,

  • Campaign Planner — takes the strategist's output and translates it into campaign architecture across Google, LinkedIn, and Meta. Account structure, audience segmentation, budget allocation, bidding strategy — all mapped to the funnel

  • A/B Tester — helps design testing hypotheses that actually matter. Not "green button vs blue button" — but testing value propositions against awareness stages, offer structures against ICP segments, messaging angles against funnel positions

  • Ad Copy Drafter — loads messaging guidelines, awareness stage context, ad copy best practices, and user psychology nuances to draft ad copy that's aligned with strategy, not just "catchy"

  • Ad Creative Drafter — same depth, but for visual concepts. Develops creative briefs and directions, or connects to image generation models (like Google’s Nano Banana Pro) to produce multiple brand-consistent variations to test

  • Competitive Ads Extractor — pulls and analyzes competitor ads from Meta Ad Library, LinkedIn Ad Library, and Google Ads Transparency Center. Maps their messaging, pain points, creative approaches, and positioning — so campaign strategy is built with competitive awareness, not in a vacuum

  • Data Analyst — analyzes performance across the full B2B SaaS funnel — both PLG and SLG models. Not just ad spend, CPL, and leads. Pipeline velocity, SQL conversion rates, revenue attribution. The metrics that actually matter for the business

  • Tracking Expert — audits the current tracking setup, identifies gaps in attribution, and helps architect server-side tracking and offline conversion flows. Because if tracking is broken, everything downstream is noise

These are the main ones. There are more for specific scenarios — but the pattern is the same: deep domain expertise encoded as reusable, context-aware skills.

The key idea: AI doesn't create for me. It helps me accelerate and improve each step of the process. Every strategic decision, every campaign launch, every piece of copy — goes through human judgment. But that judgment now operates with significantly more context, analysis, and speed behind it.

Claude Skills and Plugins let you load real, deep expertise into the model — not generic marketing knowledge, but specific SOPs, frameworks, and methodology refined on actual B2B SaaS accounts. Combined with full client context (ICP documentation, CRM exports, ad performance data across all platforms, landing pages, competitor positioning, messaging guidelines), this isn't just faster work. It's significantly more work at the same quality bar.

Here's what this looks like in practice. Each of these is a specialized skill with its own context, instructions, and resources loaded:

  • Strategist — uses the 5 Stages of Awareness framework combined with full business context (budget, ICP, funnel stage, growth model, competitive landscape) to build paid acquisition strategy from the ground up,

  • Campaign Planner — takes the strategist's output and translates it into campaign architecture across Google, LinkedIn, and Meta. Account structure, audience segmentation, budget allocation, bidding strategy — all mapped to the funnel

  • A/B Tester — helps design testing hypotheses that actually matter. Not "green button vs blue button" — but testing value propositions against awareness stages, offer structures against ICP segments, messaging angles against funnel positions

  • Ad Copy Drafter — loads messaging guidelines, awareness stage context, ad copy best practices, and user psychology nuances to draft ad copy that's aligned with strategy, not just "catchy"

  • Ad Creative Drafter — same depth, but for visual concepts. Develops creative briefs and directions, or connects to image generation models (like Google’s Nano Banana Pro) to produce multiple brand-consistent variations to test

  • Competitive Ads Extractor — pulls and analyzes competitor ads from Meta Ad Library, LinkedIn Ad Library, and Google Ads Transparency Center. Maps their messaging, pain points, creative approaches, and positioning — so campaign strategy is built with competitive awareness, not in a vacuum

  • Data Analyst — analyzes performance across the full B2B SaaS funnel — both PLG and SLG models. Not just ad spend, CPL, and leads. Pipeline velocity, SQL conversion rates, revenue attribution. The metrics that actually matter for the business

  • Tracking Expert — audits the current tracking setup, identifies gaps in attribution, and helps architect server-side tracking and offline conversion flows. Because if tracking is broken, everything downstream is noise

These are the main ones. There are more for specific scenarios — but the pattern is the same: deep domain expertise encoded as reusable, context-aware skills.

The key idea: AI doesn't create for me. It helps me accelerate and improve each step of the process. Every strategic decision, every campaign launch, every piece of copy — goes through human judgment. But that judgment now operates with significantly more context, analysis, and speed behind it.

Notion + Notion AI: The Operational Backbone

Notion + Notion AI: The Operational Backbone

Claude handles the intelligence layer. Notion handles everything else.

No skills as advanced as Claude's — but Notion is a must-have for staying systematic as a solo operator. Its built-in AI runs the latest models (Claude, Gemini Pro, ChatGPT), making it an irreplaceable tool for daily work and project management on its own.

But the real value is structural:

  • Data layer — Projects, Tasks, Documents, Resources, Notes — everything connected through relations. One system, not ten tabs

  • Client delivery portal — structured, transparent, accessible. Clients see progress, deliverables, and reporting in one place

  • AI on top of data — Notion AI operates directly on the workspace data. Summarizing, drafting, querying across connected databases — all within the same system where the work lives

For a solo operator managing multiple clients across multiple ad platforms, this isn't a nice-to-have. It's the difference between organized depth and chaotic surface-level work.

How It Connects

How It Connects

Two layers, one system:

Claude (intelligence) — deep analysis, strategy development, creative production, data interpretation. The thinking.

Notion (operations) — project management, delivery tracking, client communication, documentation. The structure.

Each layer has its role. Nothing is duplicated. The methodology lives in the system, not in my head — which means quality is consistent whether it's client number one or client number five. The system doesn't get tired on a busy week. It doesn't skip steps. It doesn't forget what was decided three weeks ago.

This is how one person delivers depth that traditionally required a team. Not by working 80-hour weeks. Not by cutting corners. By building a system where the methodology is an asset, not a habit.

If you want to see results — check out the case studies.