
"Every LinkedIn post that books calls hits the same psychological triggers, and the influencers who get results know exactly which ones. They understand something you might not: your dream clients scroll LinkedIn with specific fears keeping them up at night. The posts that convert don't bother with chasing algorithms or understanding viral mechanics. They speak directly to the midnight thoughts your perfect reader can't release."
"Your best LinkedIn posts start with research that most creators skip entirely. Open your LinkedIn messages and trawl through comments to find conversations where prospects shared their real struggles. Copy their exact words into a document. Notice the emotions behind their language. Fear shows up as "worried about" or "concerned that." Frustration appears as "tired of" or "sick of." Hope surfaces through "wish I could" or "dream of." These emotional signals tell you everything."
"LinkedIn's algorithm rewards engagement, but engagement starts with psychological connection. Posts with images receive twice the engagement rate, and video posts are 20 times more likely to be shared. Yet format means nothing if your message misses the mark. Your audience needs to feel understood at their core. When you capture their subconscious worries in your opening line, they stop scrolling immediately."
High-converting LinkedIn posts address deep psychological triggers and the specific fears that keep ideal clients awake at night. Surface-level content fails because prospects already recognize basic challenges. High-performing creators research by reading LinkedIn messages and comments, copying prospects' exact language, and mapping the emotions behind their words. Fear, frustration, and hope show up in predictable phrases that can be used as hooks. Visual formats boost engagement but cannot replace a message that captures subconscious worries from the opening line. People book calls when they feel genuinely seen and understood, not merely informed.
Read at Forbes
Unable to calculate read time
Collection
[
|
...
]