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This issue of TLDR Marketing covers nine new LinkedIn features and how to use them, argues that sentiment scores alone miss real social insights, and offers practical tips on subject lines, AI use, and experiment design. It also highlights debates around under-16 social media bans, AI’s role as an augment rather than replacement, confidence scoring flaws, and emerging hybrid AI verification models.

LinkedIn now lets multiple profiles or Pages co-author one post, listing every collaborator at the top and delivering the content across all their networks. It uses an invite-and-accept flow like Instagram’s collab posts and works for both personal profiles and brand Pages. The feature is in beta and aims to boost reach, credibility, and shared ownership in creator-brand partnerships.

Amazon now applies its shopping and browsing data to Netflix CTV ads and ties them back to Amazon purchase outcomes, though Netflix-level attribution via AMC is still on the roadmap. It also taps LinkedIn’s professional data for job-based B2B targeting on premium streaming, strengthening its closed-loop attribution and expanding advertiser reach.

This article shows how to merge organic LinkedIn posts and paid ads into a single feedback loop. You write content for your target accounts, boost it with tight ad targeting, then use ad metrics like clicks and dwell time to guide your next round of posts.

This article emphasizes the untapped potential of LinkedIn for founders seeking customers and investors. It offers practical tips for creating engaging posts that highlight metrics, build narratives, and leverage pre-existing credibility, while addressing the initial discomfort of posting.