A 4-signal audit, a 50-page triage, and one Claude formula dragged down a Google Sheet — the boring spreadsheet work produced a 38% revenue lift, not the AI.
A Claude-powered Slack agent that handles campaign briefs, copy drafts, competitor checks, weekly recaps, and content ideas — replacing a strategist, copywriter, and analyst for the day-to-day.
You can build a real 4-channel MMM (Marketing Mix Model, 营销组合模型) in a Google Sheet in one afternoon — no Python, no data engineer, no $40K vendor. I walked a DTC client through it last quarter. The build took 3 hours, the adstock decay curves are written by ChatGPT, and the sensitivity test exposed a $14K/month waste nobody had spotted.
A 4-step workflow that pulls 200+ real customer reviews from G2/Trustpilot/Capterra/Amazon, has Claude extract the recurring pain points in the customers' own words, then generates 30 short TikTok scripts from those pain points — pick the 8 that hit, ship those.
A pre-built 14-day BFCM email calendar (warm-up, teaser, launch, last chance, recovery) with exactly 7 sends — one per segment — and explicit suppression rules so a VIP doesn't also get the lapsed email.
Smart Bidding has no signal at $50/day. Here's the Claude-managed guardrail system I run instead — bid floors, 7-day ROAS checks, auto-pause, and budget redistribution to winners.
12 binary rules — headline clarity, intro hook, source citation, claim substantiation, length fit, internal links, and more — Claude scores any draft 0-100 with a per-rule breakdown. Ship only above 75. The exact prompt, the threshold logic, and the honest caveat.
A real-world, repeatable 4-stage diagnostic that uses Claude to triage post-update traffic drops — intent match, E-E-A-T gaps, content quality vs. the SERP, and internal linking. Includes the prioritization matrix, the actual prompt, and a worked example from a December 2025 hit.
Train a Custom GPT on your brand guidelines doc, paste any draft, and get a line-by-line compliance score with violations flagged before anything ships. The 30-minute build.
A working pipeline for dubbing paid-media video ads into 29 languages with ElevenLabs' Dubbing API — voice cloning, translation QA, and the lip-sync trap I learned the hard way.
Stand up an Airtable base fed by GA4, ad spend, email and CRM, a Claude prompt that answers natural-language questions about it, and a Slack slash command so any teammate can ask 'what's our blended CAC by channel this month' and get a chart back. Full hour-by-hour build, with the prompt, the schema, and the four gotchas that will eat your weekend if you skip them.
A battle-tested 5-email cart abandonment sequence with exact send times, subject lines, body copy, and the AI prompts that generated them — plus what to fix by hand.
