Black Friday 2026: Build a Competitor Ad Watchlist Before November

说明与用途

在十一月前使用 Meta Ad Library 和 Apify 抓取器构建竞争对手广告观察表，以捕获优惠、格式和假设，获取提前的假日策略洞察。

问题

Need to track competitor ad offers early to identify patterns before peak holiday sales.

结果

A repeatable process to capture competitor ad offers, formats, destinations, and hypotheses, enabling early detection of pre‑holiday promotion strategies.

工作流

• List 5–10 competitor advertisers
• Open Meta Ad Library manually for a few to understand columns
• Configure Apify Meta Ad Library actor with advertisers/searchTerms, country=US, activeStatus=active, maxAdsPerSearch=20
• Run actor and export CSV
• Map CSV to worksheet: offer text, format, libraryUrl
• Fill destination and hypothesis manually
• If useful, save task and schedule with onlyNewSinceLastRun=true

证据

Adobe's September 28 forecast puts US online holiday sales for November and December at $275.1 billion and discusses a preseason spike in October.

来源

The actor's input schema accepts advertisers or search terms, a country, an active status filter and a cap per search. Its documented output includes available copy, creative, libraryUrl and daysRunning.

来源

I have not rechecked this actor's live prices for this draft. Review the current Store pricing and set a spending limit before running a larger watchlist.