Finn reads a pasted analytics export and names the exact post, the exact number, that means something changed, then turns it into a ranked action plan and a 30-day forecast. Reading a week of LinkedIn analytics takes an hour of scrolling, and the conclusion is usually a feeling. A real pattern, one post carrying most of the week's engagement or the audience skewing toward the wrong people, goes unnoticed for months. Finn reads the export in about two minutes and returns the best and worst post with the numbers beside each, the best posting day, a ranked action plan, a stop-doing list, and a 30-day forecast. Every report saves to a dated file so last month's forecast can be checked. What to change is still the poster's decision.
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