From LinkedIn Attention to Pipeline: 5 Steps That Convert | Richard Moore

Getting attention on LinkedIn is one thing. Turning that attention into pipeline is another. A post gets traction. Someone likes it, follows you, comments, or visits your profile. Now what?How do you move that person towards a real sales conversation without jumping straight into a pitch? Richard Moore joins Laura Erdem on Attributed to walk through the practical steps between LinkedIn engagement and revenue. Richard is a three-time LinkedIn Top Voice and founder of Art of Sell, with 23+ years in sales, helping founders and teams turn engagement into revenue through psychology-based selling. Laura and Richard will cover concrete examples of how that conversion happens, including: - The 5 steps between posting content and winning a customer - Which LinkedIn signals ( likes, comments, follows or profile views) are actually worth acting on - How to turn engagement into a natural DM conversation - What to say when someone shows interest without immediately pitching them - How to move from a DM conversation to a genuine sales opportunity - Where LinkedIn attention commonly gets stuck before it becomes pipeline - Why a smaller, relevant audience can be more valuable than thousands of impressions You're already creating content and earning attention on LinkedIn. This session is about what you do with it. Follow Richard Moore on LinkedIn: https://www.linkedin.com/in/richardjamesmoore/ Follow Laura Erdem on LinkedIn: https://www.linkedin.com/in/lerdem/ Thanks for tuning in to the Attributed Dreamdata Podcast! We hope you enjoyed this episode as much as we enjoyed creating it. To stay updated on all things Dreamdata and B2B go-to-market: 👥 Follow us on LinkedIn: Dreamdata  💬 Join Our Community on Slack: Dreamdata Community  🎙️ Subscribe to Our Podcast: Don't miss out on future episodes! Follow us on Apple Podcasts or Spotify and leave us a comment or review.  🔗 Visit Dreamdata's Website to see how we can help you connect your marketing to revenue: Dreamdata.io