Buyers can tell when a post came from a topic list instead of a real conversation. Here's the specificity gap that separates content that lands from content that gets scrolled past.
Sean Weisbrot- Founder, SparkVox
"Thrilled to share" a company update. A recycled industry statistic with a generic take bolted on. A repost of the company's own announcement with one sentence of commentary. This is what most social selling content looks like, and buyers have gotten very fast at recognizing and scrolling past it.
It's not that the content is poorly written. It's that it's obviously not sourced from a real conversation with someone like the reader. Generic social selling content reads as content produced to hit a quota of posts, because that's usually exactly what it is - a rep fulfilling a program requirement, working from a topic list, not from something they actually discussed with a real prospect this week.
Buyers evaluating whether to trust a rep can tell the difference between "here's an industry trend" and "here's the exact objection I heard three times this month and how I'd think about it" - the second is specific enough to have come from a real conversation, and specificity is what reads as credible.
A post built from an actual discovery call or demo carries the real objection, the real question, the real moment the prospect's face changed - details a topic-list post can't fake, because it never had access to a real conversation in the first place. That's the entire difference between social selling content that gets scrolled past and content that reads as coming from someone who actually knows the space.
Generic version: "AI is transforming how sales teams work. Companies that adapt will win. What's your take?" Specific version: "A prospect told me this week their team already tried three AI note-takers and abandoned all of them because nobody trusted the summaries enough to act on them. That's the real adoption blocker - not the AI, the trust gap after a bad first experience." Same broad topic. Only one of them proves the rep is actually talking to real buyers about this, and it's not the one that could have been written without a single conversation happening.
Buyers scrolling their feed aren't consciously scoring posts on specificity - but they register the difference instantly, the same way a reader can tell a genuine recommendation from a paid endorsement without articulating exactly what tipped them off.
A rep trying to manually write specific, call-sourced content for every post runs into the same capacity problem covered elsewhere in this series - it takes real time to listen back and extract a real moment, which is exactly why most social selling content defaults to generic industry commentary that doesn't require going back to a real conversation at all. The generic version isn't a failure of effort; it's the path of least resistance when the specific version requires time nobody has.
See how drafts get sourced from a rep's actual calls in social selling for growth marketers, why programs default to generic content in the first place in why social selling programs die in week three, or the full workflow on SparkVox for social selling.
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Left unstructured, a program tends to converge on one kind of post. Here's why unstructured output drifts toward sameness, and what calibrating drafts to specific goals changes.
Most social selling initiatives die in week three because reps do not have time to write. Here's how growth marketers can run a program that survives past the kickoff deck.
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