How to Build a Game-Day Social Media Report

Start with a consistent reporting window

Choose the period you want to evaluate before collecting totals. A practical starting point is the day before the game through the day after it. Apply the same rule to every game in the comparison, and record the time zone. A late-night game can otherwise split its post-game coverage across two calendar dates.

Separate when a post was published from when its metrics were measured. A clip published yesterday has had less time to accumulate views than one published a week ago. Record the collection date, and compare posts at a similar age when possible. If metrics are lifetime totals on posts published in your window, label them that way; they are not necessarily views earned during the window.

Build a social box score

Summarize output and response together. A team that doubles its publishing volume may gain total views without improving the performance of a typical post. Keep a platform breakdown next to the overall totals so the report can distinguish the two.

• Output: number of posts, broken down by platform and content format.
• Attention: video views and reach where available, with unavailable metrics shown as missing rather than zero.
• Response: likes, comments, shares, and other supported interactions, using a clearly stated definition.
• Efficiency: views or engagements per post, plus the median when a viral outlier dominates the average.
• Examples: links to the strongest posts and the creative idea behind each one.

Compare pre-game, live, and post-game content

Group posts around the event rather than relying only on calendar days. Pre-game content might build anticipation, live coverage might react to a key moment, and post-game content might extend a celebration or explain a result. Compare similar formats within each window.

Treat timing as context, not proof of causation. A post published after a win may outperform one after a loss because of the result, the player involved, or the creative execution. If a tool estimates game periods from start time and typical duration, those buckets are approximations, not exact play-by-play timestamps.

Finish with a decision for the next game

Choose a small number of changes the content team can test: repeat a player-led format, publish a recap sooner, or adjust the mix of short and long videos. Explain which observation supports each change and what metric will determine whether it worked.

Post Game Analytics brings game comparisons, platform breakdowns, publishing windows, and top posts into the same workflow. Review the underlying posts alongside the charts before turning a pattern into a recommendation. Availability depends on the team, platform, and collected data.