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Text Analysis & GenerationContent CreationText Transformation

Convert Blog Post to LinkedIn Post

Converts a blog post into a concise LinkedIn post with hook, bullets, proof, CTA, relevant hashtags, strict length/format rules, and no links or invented facts.

Prompt Content

Convert the blog content below into a concise, high-engagement LinkedIn post. Follow these rules: 1) Hook: 1-2 lines stating the core problem or insight. 2) Body: 3-5 bullets (•) with concrete, actionable takeaways; each ≤12 words. 3) Proof: 1-2 lines with a specific example, stat, or outcome from the blog. 4) CTA: 1 question inviting opinions or experiences. 5) Hashtags: 3-5 specific, relevant hashtags in TitleCase. • ≤1,200 characters total; use line breaks between sections. • Plain text only; bullets as •; no markdown. • 0-3 tasteful emojis max; none in hashtags. • No links, no @mentions, no sales pitch, no clickbait. • Do not invent facts; if no stats, use a concrete anecdote from the blog. • Use active voice and simple, specific language; mirror first-person voice only if present in the blog. • Output only the final post text. <example> You're not losing customers at renewal-you're losing them in week one. Onboarding is the silent churn engine. • Map the first-run path to a single success moment. • Replace empty states with guided actions and sample data. • Trigger a day-3 nudge when in-app activity stalls. • Track time-to-value as the primary metric. • Offer a 15-minute welcome call to unblock setup. After these changes, one SaaS in the blog cut time-to-value from 14 to 5 days and reduced 90-day churn by 22%. 🚀 What's the one change that moved your time-to-value the most? #CustomerOnboarding #ProductLedGrowth #SaaS #Retention #UserExperience </example> Use this source blog content: <blog-post> Blog Post </blog-post>

Variables

Blog Post
Full text or key excerpts of the source blog article to convert.
Example: Our team cut onboarding time by 64% by replacing empty states with checklists and sample data. We measured time-to-value, not logins, and added a day-3 nudge for inactive users. Churn dropped 22% over 90 days.