most social media reports are full of metrics that are either misleading, meaningless, or unable to explain why a team is succeeding or failing the result is dashboards that feel comprehensive but actually obscure the decisions they're supposed to inform 1.) the first problem is scope. social analytics operates at three distinct levels and each one answers a different question on a different timeline. whether a specific post worked, whether your content is improving as a body of work, and whether your audience trajectory is healthy are three separate conversations. most reports mash them into one 2.) the second problem is signal. not all metrics carry the same weight, but most dashboards present them as if they do. platforms optimize for time on platform, session depth, and return visits. the metrics that reflect genuine viewer value get weighted most heavily in recommendation algorithms. there is a clear hierarchy and most teams ignore it 3.) the third problem is the boundary. every metric your platform gives you measures what happened inside the ecosystem. the platform wants users to stay and keep scrolling. your business needs them to leave. to click, visit, message, convert. these goals are structurally opposed 4.) the fourth problem is broken metrics. several of the most commonly reported ones do not survive basic scrutiny. engagement rate is the worst offender. both formulas are mathematically broken in ways that actively mislead. but it is not the only one 5.) the fifth problem is benchmarking. social media data is heavily right-skewed. most posts cluster at low-to-moderate performance with a long tail of occasional breakouts. a single viral post pulls the mean far above what your content actually does on a typical day. your average describes a post that does not exist 6.) the sixth problem is visibility. most teams never chart their data at all. they report numbers in tables or summaries without ever visualizing the distribution underneath. you cannot see whether your floor is rising, your ceiling is rising, or whether one post is carrying your entire month from a table the deck walks through all of this and a framework for fixing it: -- which metrics belong at which level -- which ones to kill entirely -- where the platform's knowledge ends and yours needs to begin -- why engagement rate should not be your north star KPI -- how to benchmark using medians, percentiles, and the right charts the full breakdown is in the slides -- reach out with any questions!! ~ gabe (◕‿◕)
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