A DTC outdoor gear brand with one product line and a $25K marketing budget. Twelve tools built with Claude Code to run the entire marketing operation. Scroll through to see how.
Launching a campaign usually means weeks of coordination — brand strategists, data analysts, designers, copywriters, media buyers. Each handoff adds delay. Each silo introduces drift. By the time the work ships, the window has moved.
This demo is a proof of concept: twelve working marketing tools built in a single afternoon with Claude Code. Not mockups. Not slide decks. Interactive dashboards, production-ready email sequences, ad copy scored against brand guidelines, and a campaign simulator grounded in historical performance — all for a fictional DTC brand called Yowie.
What follows are the twelve tools, in the order they were built, with the exact prompts that created them.
Each tool serves a unique purpose but they all share the same data and inform each other.
See the GitHub repo for brand, data, and related context.
Every downstream tool needs a source of truth. Without a constrained brand definition — specific product, specific audience, specific voice — AI outputs drift toward generic marketing language.
Yowie is a direct-to-consumer premium outdoor gear company that makes one product exceptionally well. It exists for experienced outdoor adults who have outgrown flashy brands and want gear that performs without fanfare.
A 45-liter backpack built from 1680D sailcloth nylon with a thermoformed framesheet, designed to carry 35 lbs comfortably over rough terrain for days. Single main compartment. YKK AquaGuard zippers throughout. Lifetime warranty, no receipt required.
Plainspoken — short sentences, no jargon. Confident — states facts without hedging. Restrained — never loud, never urgent. Respectful — treats the reader as competent. Dry — understated humor, never forced.
"You've carried enough packs to know what's wrong with most of them. We built the one that isn't."
AI marketing tools produce generic analysis without historical data. This step generated 12 months of internally consistent performance data across five channels — with seasonal patterns that mirror real outdoor gear brands.
| Month | Sessions | Orders | Units | Revenue | Meta ROAS |
|---|---|---|---|---|---|
| Apr 2025 | 6,617 | 49 | 51 | $19,173 | 5.41x |
| Jul 2025 | 11,851 | 83 | 88 | $33,611 | 7.35x |
| Jan 2026 | 4,451 | 31 | 31 | $11,627 | 3.94x |
| Total (12 mo) | 91,804 | 643 | 690 | $260,530 | 5.7x |
Raw CSV data is useless without visualization. This dashboard turns 12 months of data into an interactive view of revenue trends, CAC, channel efficiency, email performance, and regional distribution.
Dashboards show numbers. Reports explain what they mean. This Python tool reads the data and generates written analysis with insights and recommendations — in Yowie's brand voice.
$33,610 in revenue, +24.4% from June 2025. 88 units moved at an average order value of $405. Meta returned 7.35x on $3,563 in spend.
How should a $25K campaign budget be split across Meta, email, content, social, and landing page? This tool uses historical efficiency scores with diminishing returns modeling to recommend an optimal allocation.
A 5-email nurture series for 4,200 subscribers over 30 days. Trust arc, not pressure arc — no urgency tactics. Each email has subject line, preview text, body copy, and CTA, all in production-ready HTML.
Where every channel converges. A responsive page with hero, features, specs, social proof, warranty math, and CTA — designed like an editorial magazine feature, not a Shopify template.
A brand doesn't exist in isolation. This tracker compares Yowie against YETI, Stanley, Hydro Flask, and Osprey with side-by-side analysis, positioning maps, and channel matrices.
Five ad variants, each taking a different angle — materials, anti-hype, warranty, use case, product intro. Each scored against brand voice guidelines with weighted dimensions and written rationale.
What happens when we spend $25K over 30 days in summer? Full-funnel projections — impressions, clicks, conversions, revenue — with seasonal modifiers, diminishing returns, and scenario planning.
One blog post, five platform-specific versions — LinkedIn, Instagram, email, Meta ad, tweet thread. Each genuinely rewritten for its platform, not truncated. All scored against brand voice.
643 orders contain five distinct behavioral segments — each with different acquisition channels, LTV potential, and messaging needs. Segmentation turns one audience into five conversations.
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