Rand Fishkin Highlights New Data on Audience Social Media Usage

In a recent LinkedIn post, Rand Fishkin discusses a significant challenge in audience analysis and reveals a new solution that addresses it. Fishkin highlights the common frustration of marketers and researchers who can identify which social networks an audience uses, but lack insight into the *extent* of that usage relative to the general population. This gap in understanding can lead to misinformed marketing strategies and resource allocation.

“You show me which social networks my audience uses, but not HOW MUCH they do or don’t use social media!”

The Problem of Usage Depth

Rand Fishkin points out that this limitation has been a persistent issue for his team and likely for many others in the marketing and analytics space. The ability to know that a target demographic is present on platforms like LinkedIn or TikTok is only part of the picture. The critical missing piece, as Fishkin elaborates, is understanding the *depth* of engagement – whether an audience is a casual browser or a deeply integrated user of these platforms. This distinction is crucial for effective campaign planning and content tailoring.

Introducing a New Data Set for Deeper Insights

Fortunately, Fishkin shared in his post that this problem has now been addressed. He credits Casey Henry with developing a new dataset and visualization that provides this much-needed clarity. According to Fishkin, this new tool illuminates which categories of websites any group of people on the web visits, and importantly, indicates the frequency or intensity of that usage compared to the average internet user.

“It’s one of the biggest complaints we get, and it’s fair. It’s also now solved — Casey Henry recently added a new dataset and visualization that illuminates which categories of websites any group of people on the web visits, and how much in relation to the average.”

Implications for Audience Research

As Rand Fishkin notes, this advancement has significant implications for how businesses understand their audiences. Knowing the relative usage of social media and other web categories allows for more nuanced segmentation and more accurate predictions of audience behavior. This data can help marketers:

• Prioritize platforms where their audience is most active.
• Tailor messaging to resonate with varying levels of platform engagement.
• Identify emerging trends and underserved niches.
• Optimize advertising spend by focusing on channels with demonstrable audience depth.

Fishkin’s sharing of this development underscores the ongoing evolution of audience analytics and the importance of continuous innovation in data collection and presentation. The ability to move beyond simple presence to understanding usage intensity marks a critical step forward in effective digital marketing strategy.