A hands-on breakdown of using Runway Gen-3 Alpha for flash-sale video ads under 48-hour deadlines — the four generation patterns that actually deliver, the five failure modes I keep hitting, and the production workflow that got 9 usable clips in 6 hours for $137.
Generate 100 subject lines with ChatGPT, filter them down to 5 with a 4-criterion rubric, then A/B/n test the finalists. The exact prompt, the 5 that made it through, and the test result — including the variant I would never have written on my own that beat my favorite by 19%.
Pull 12 months of Klaviyo orders, score every customer on Recency/Frequency/Monetary, and use one ChatGPT prompt to label 20 named RFM segments with a single campaign angle each. Includes the actual segment table, the prompt, and the four watch-outs most teams miss.
Mine Reddit for buying-intent threads, score a 10-subreddit shortlist with ChatGPT, then generate three persona-matched ad variants per community before spending a cent.
Build a 30-city × 5-section spreadsheet, hand-fill four of the five columns with verified local data, and let Claude only write the intro paragraph per row — no spintax, no template fills, no hallucinated landmarks.
A 90-minute pipeline to refresh a stale Performance Max asset group: pull the Lows from Google Ads, regenerate 15 RSA headlines and 4 descriptions in Claude, build 30 on-brand image variants in Recraft, and bulk-ship via Google Ads Editor.
A practitioner's playbook for turning a product spec into ready-to-run Sora video ads — the 6-line brief, the 3-shot story, the prompt skeleton, and the physics rules you can't break.
How I turn a single 30-minute prospect call into three landing-page variants — each one built around a real objection — and split the traffic to find the winner. The exact prompts, the variant matrix, and the A/B math I use.
The hard part of broken backlink recovery isn't finding them — Ahrefs hands you the list. The hard part is matching 1,200 dead URLs to live pages without inventing redirects to 404s. A 3-step workflow using Ahrefs exports and Claude batch-classification.
A 4-step workflow that exports Ahrefs' Broken Backlinks report, batch-classifies each dead URL by topic with Claude, and maps it to the closest live page or a fresh 301 redirect — recovering link equity without a developer.
A reproducible workflow: run a 50K-URL Screaming Frog crawl, dump every relevant tab as CSVs, hand the folder to Claude Code, and get a priority-scored fix list developers can split into Jira tickets by Monday.
A repeatable 4-pillar Claude pipeline that turns one brief into 50 Meta ad copy variants across angle categories, plus the 5-minute review cut and the test structure that actually ships them.