competitor-ad-intelligencelisted

# Competitor Ad Intelligence ## Overview No public source publishes what a competitor spent on a creative. Every spend number in every competitor-intelligence product is a model output presented as a measurement. So stop trying to measure spend and measure what is observable, and what a losing ad cannot fake for long: **how long it has been running, how many variants exist, how many countries it runs in, whether the advertiser is accelerating, and whether it is still live.** ``` score = 0.35·longevity + 0.25·variants + 0.20·geo + 0.10·velocity + 0.10·recency ``` ## When to use - Building or reading a competitor creative corpus from any public ad library - Deciding which competitor creatives are worth copying - Explaining why a "top ad" list is misleading - Finding the angles a competitor is winning with that you are not testing - Setting up an ad archive that will still be useful in six months **Not for:** estimating a competitor's budget. It cannot be done from public data, and a number invented for a client deck is worse than saying so. ## Do lineage before anything else An advertiser who re-uploads the same creative every fourteen days looks like three short tests. They are running one concept that has survived six weeks. Longevity is the heaviest signal in the score, so measuring it on ungrouped creatives produces a ranking that is confidently wrong. ```bash python3 scripts/adscore.py lineage creatives.csv --out grouped.csv python3 scripts/adscore.py score group