I cut my own LinkedIn posting schedule to once a week and filled the other four slots with substantive comments on other people's posts — profile views up 47% in a month, two DMs into booked calls. The full Perplexity-research / ChatGPT-draft / human-edit loop, the contrarian-first prompt, the Friday tracking ritual, and the rules that keep it from going spammy.
A real client case where DALL·E 3 composites replaced a planned lifestyle photoshoot, the prompt pattern that makes product-lifestyle scenes look believable, and the four situations where the studio still wins.
Build one 8-slide carousel, generate four different cover openers with Claude, A/B test them for a month, and let the data name the winner — a step-by-step hook-test protocol I now run on every carousel.
A battle-tested Customer.io sequence for trial users stuck at day 3-5 with no activation event. Three personas, one hard exit, and the one instrumentation decision that makes the whole thing work.
Export your RSA asset report, ask Gemini to grade every pin on 4 dimensions Google doesn't even measure, flag the bottom 30, then rewrite them with a structured prompt. The full audit takes 2.5 hours, saves about 6 versus doing it by hand, and the rewritten assets routinely lift impression volume and ad strength within 30 days.
Stop A/B testing two subject lines and hoping. Pre-write 15 falsifiable hypotheses (length, emoji, personalization, urgency, numbers, case, brackets, sender, preheader...) in a 15-row spreadsheet, design 2-4 cells per hypothesis, then let the data pick the winners — one row per send, not a multivariate stew. The 6 starter rows, the Klaviyo test setup, and why one row per send is the rule.
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.
