This SMMA Leveraging AI has a Problem.. - Breakdown

Just analyzed a social media agency making $450K/month with 91 employees. They guarantee clients up to 1 BILLION views in 180 days. Impressive numbers, but I spotted a fundamental flaw in their model that's limiting their real potential.

Their core offering: Creating 500,000+ content pieces distributed across sub-accounts on every major platform. They're charging $35K+ monthly per client for this massive distribution network. The scale is genuinely impressive.

Their AI integration is smart - creating workflow efficiency, reducing human dependency, and enhancing decision-making. They've built a machine that can truly deliver on the view counts they promise.

But here's the critical flaw: They're treating B2B and B2C content distribution identically. Their entire model assumes all clients benefit from short-form, high-stimulation content. This fundamental misunderstanding will cost them.

Reality check: Serious B2B decision-makers aren't scrolling TikTok looking for vendors. They're conducting deliberate research, reading long-form content, and seeking substance over stimulation. Wrong audience = wrong results.

The metrics trap: When you funnel the wrong audience to a client's content, you damage their platform metrics. High view counts with low engagement actually hurt algorithmic performance long-term. YouTube particularly punishes poor view-to-subscriber ratios.

The solution isn't bigger distribution - it's better targeting. Differentiating between B2B and B2C strategies, focusing on audience transformation rather than raw viewership. Views don't equal revenue - the right views creating the right actions do.

Hope you found this valuable! :)

0 comments