A production n8n workflow that pulls decaying posts from GSC (Google Search Console, 谷歌站长工具), drafts a refresh brief, has ChatGPT write the update, validates the new draft, and ships it to the CMS — all in one loop. The full node map, the three prompts, the four validation gates, and the three failure modes that have actually cost me a post.
Most teams look at a funnel chart, see a drop, and start guessing. This is the 7-step diagnostic I run whenever a funnel underperforms — built around GA4 Funnel Exploration plus a Claude prompt that does the cross-segmentation in minutes. By step 7 you'll have a testable hypothesis, not a vibe.
A three-stage pipeline — Claude writes a 30-row CSV, Canva Bulk Create pours it into one template, a PDF-capable scheduler queues a month of carousels in under 90 minutes.
A Nov-Dec-Jan deliverability playbook for the 2025-2026 winter window: the November 2025 Gmail enforcement shift to permanent 550 rejections, the three-provider authentication floor (Gmail + Yahoo + Outlook), the monthly cadence for hardening, surviving, and rebuilding, and the mistakes that quietly cost senders their lists.
A pre-flight editorial check on twelve client RSAs found that 43 of 60 submitted headlines had at least one red flag. Here is the five-bucket taxonomy of what Google's review actually catches, and why your Ad Strength is stuck at Average.
Stop proofreading your own drafts in silence. Paste your draft into NotebookLM, generate an Audio Overview, and let two AI hosts read it back. You'll hear the awkward transitions, the parts that explain too much, and the claims that don't land — things your eyes always skip. A 6-minute, free self-editing loop that catches what re-reading misses.
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.
