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How LinkedIn Thought Leadership Works
Insights & Strategy

How LinkedIn Thought Leadership Works

The platform has gone through several phases. The early professional networking era was about resumes and recruiting. The middle period — roughly 2015 through 2020 — was about content marketing, with brand pages doing most of the publishing work. The current phase, which has been

EPR Editorial Team ·
 Why Performance Marketing Stopped Working: The Demand Equation
CPG

Why Performance Marketing Stopped Working: The Demand Equation

Performance marketing has become expensive, crowded, and harder to measure due to rising acquisition costs, signal loss from privacy changes, and audience saturation. The Demand Equation explains that performance marketing efficiently captures demand but poorly creates it. This article details why brands overpay when asking performance marketing to do both and how to reallocate demand creation to more effective channels.

EPR Editorial Team ·
When Image Outruns Judgment: Bud Light, BrewDog, and the Cost of Losing the Narrative
Food & Beverage

When Image Outruns Judgment: Bud Light, BrewDog, and the Cost of Losing the Narrative

Bud Light lost the #1 US beer position in mid-2023 after a single influencer post landed without internal alignment. BrewDog's CEO stepped down in 2024 after a decade of provocation-led marketing collided with the company's own workplace record. Two failures, one mechanic — image outran judgment. The timeline, the structural pattern, and the rails alcohol brands still need to run on.

EPR Editorial Team ·
AI Won't Cast Your Influencer
Influencer Marketing

AI Won't Cast Your Influencer

A brand planning a campaign used to start with an agency. A growing number now start with a prompt — they open ChatGPT and ask "who should be the face of our campaign." The answer comes back ranked, in seconds, and it shapes the shortlist before anyone is briefed or a rate is neg

EPR Editorial Team ·
Why AI Systems Trust Certain Sources
Insights & Strategy

Why AI Systems Trust Certain Sources

Article explores the five mechanics that explain why AI systems trust certain sources over others, including identification, extractability, corroboration, recency, and independence. It explains why machine readability matters, why structured databases win, why corroboration builds retrieval confidence, and why forums and reviews are often favored by AI.

EPR Editorial Team ·