WHAT NEW IN X10.31 SAT

X 上的 AI 合集档案 · 22 个合集 · 63,170 条

jevVIDEO

营销人用 Jev 做批量决策的 20 个场景

作者列出 10 个新用例:广告创意打分、社媒筛选、ICP 匹配、购买信号识别、评论优先级、影响者匹配等,核心是把重复营销判断交给 Jev 打分。

Yum⋆₊˚
@yuhasbeentaken2026.09.20收录原推发布于 2026.09.20
Yum⋆₊˚ @yuhasbeentaken原推发布于 2026.09.20
在 X 上打开原推

I shared 10 Jev use cases for marketers. Here are 10 more: 11. Ad creative scoring - Feed it 100 ad variations. Jev can score which hooks, headlines, or angles are most worth testing first. 12. Social post filtering - Monitor thousands of posts. Jev can flag the ones worth replying to, reposting, or using as sales signals. 13. ICP detection - Give it a company, profile, or website. Jev can score how closely it matches your ideal customer. 14. Buying signal detection - Someone posts that they're switching tools, hiring, raising money, or struggling with a problem. 15. Comment prioritization - Get hundreds of comments across LinkedIn, X, YouTube, or Product Hunt. Jev can score which ones deserve a reply first. 16. Review analysis - Feed it thousands of customer reviews. Jev can classify sentiment, complaints, feature requests, and purchase intent. 17. Influencer matching - Give it 5,000 creators. Jev can score which ones best match your product, audience, and campaign. 18. Sponsorship qualification - Feed it newsletters, podcasts, or creator media kits. Jev can score audience fit, relevance, and whether they're worth reviewing. 19. UGC selection - Give it dozens of videos, screenshots, and testimonials. Jev can score which ones are strongest for ads or landing pages. 20. Product Hunt monitoring - Scan launches, comments, and makers to find competitors, customers, partners, or interesting products. The more repetitive marketing decisions you have to make at scale, the more interesting Jev becomes.

这条是引用着另一条写的:「营销人可落地的 10 个 Jev 用例清单」

x.com/yuhasbeentaken/status/2101422913287004585采集于 2026.09.20 10:08