Biggest finding: Apparel missed budget by $3,100 in August, a 32.6% miss — the largest single variance in the dataset, and it's isolated to Apparel specifically (other categories were flat to slightly up that month, so this isn't a seasonal or company-wide dip). Top variances by dollar impact Month Category Budget Actual Variance % Aug Apparel $9,500 $6,400 -$3,100 -32.6% Dec Apparel $13,000 $14,600 +$1,600 +12.3% Nov Apparel $11,000 $12,200 +$1,200 +10.9% Anomalies Aug Apparel: z = -2.51 vs. a month-median of 0.74 across categories → isolated, worth investigating directly (inventory, a stockout, a paused campaign — the data doesn't say which, but it's not seasonal) Dec across Apparel/Guides/Prints: all elevated together (z = 1.85–2.44, median 2.35) → reads as holiday seasonality, not a problem to chase Trend by category Apparel +$428/mo, Prints +$183/mo, Guides +$93/mo — all trending up structurally; August is a real dip against that trend, not just noise. Next steps Pull August Apparel inventory/fulfillment records — the spreadsheet alone can't say if this was a stockout, a marketing gap, or a pricing change No action needed on the Nov/Dec swings — budget next year's Q4 Apparel target higher given the consistent seasonal lift Guides and Prints are structurally the smallest and slowest-growing lines — worth a separate look at whether they're worth the shelf space if this data holds for another quarter