creative-testing

Local-first creative intelligence for mobile-game UA teams — decompose creatives into structure, link them into a graph, turn every human ruling into a compounding team asset.

Comprehensive performance marketing optimization strategies covering modern paid advertising, ROI maximization, and campaign optimization methodologies. Maximize marketing performance and profitability.

An AI agent for paid media — ad intelligence, creative testing, and ROAS optimization across PPC, paid social, and programmatic — backed by real ad-platform APIs.

Open-source, self-hosted tool that scores any ad — image, video, or copy — across 8 brain regions using CLIP and Whisper, and names the weakest spot before you spend on it. CPU-only, FastAPI backend, Next.js frontend.

A/B test ad creatives with money on the line: viewers stake USDC on the best one, an agent settles, the winning author takes the pot.

Official Minds ComfyUI node for image and video creative preference testing with selected AI audiences, embedded results, and native media selection.

Find out whether your visual or your copy moves performance, using ads you already ran. No test budget needed.

Meta ads for AI agents: find the ads that pay, run creative tests and launch the next one paused. Plugin and remote MCP server for Claude, ChatGPT, Codex, Cursor, Gemini CLI and Grok.

Marketing skills for people who run budgets, teams, and clients — not a single SaaS product.

A practical Meta Ads creative testing planner for audience segments, hooks, ad copy, creative matrix, budget tests, and campaign planning.

一条脚本铺到 10 个跨境渠道，不用每个市场重写一遍 | One script, ten marketplaces: cross-border content that clears the fact gate · 📮 wow.vip@foxmail.com · 🎬 https://v.douyin.com/07EjIDGVErY/

12 production-grade AI agent skills and orchestrated workflows for multi-client performance marketing agencies.

Agent skills for performance marketing, user acquisition and mobile app growth: Meta and TikTok kill and scale rules, Meta launch and creative testing, paywall audit, web2app funnels, CAC/LTV, attribution. By Vlad Yasinski, roimobi.com

Count literal TikTok caption cues and draft human-reviewed experiment briefs; no video analysis or performance attribution.

Predicts where people look on an ad before it runs: classical + learned saliency, AOI focus scoring, and motion salience for video. Stress-tested on synthetic probes; static model scored on human eye-tracking (OSIE, 200 held-out images: CC 0.344 → 0.450, human ceiling 0.88). Natural scenes only, not yet validated on ads. Reproducible.

A practical framework for organizing, testing, and evaluating paid advertising creatives across digital platforms.

Agentic creative intelligence on Qloo's taste graph: pre-test ads and Reels city by city, adapt what won't land, and let the creative decide the budget. For ad teams and creators.