Petar R. One creative one I used for a client at scale was AI analyzing the company’s website messaging + positioning and then opening with a line reframing how they describe themselves vs how competitors position feels like deep research without signals. Works great at volume because it’s pattern-based, not event based
For continuous tracking of engagers on specific creators’ LinkedIn posts, tools that monitor engagement in real-time (like PhantomBuster or TexAu) work well you feed a list of creators and they collect users who like/comment/share those posts. Then you can send that data into Clay or a CRM for further actions
One that’s worked well for us is using AI to pull a recent trigger (like hiring, funding, or a new launch) and linking it directly to the problem we solve. It feels genuinely relevant instead of forced personalization
