You scaled spend by 3x for BFCM. You found out which campaigns wasted it in January.
Almost every DTC brand has a version of this story. BFCM is simultaneously the highest-revenue and highest-chaos period. You are scaling spend across Meta, Google, and TikTok while attribution is least reliable and competition is highest. The brands that scale profitably are the ones that set up measurement infrastructure before Black Friday — not the ones checking dashboards every 2 hours and making calls on incomplete data.
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Peak period attribution is least reliable when stakes are highest
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Checking Meta, Google, TikTok, and Shopify separately during BFCM wastes hours you don't have
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Post-BFCM audits regularly reveal 20–30% of peak spend went to underperforming campaigns
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Under-investing in high-performing channels during BFCM because you couldn't see which ones were winning
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Peak Period Tracking is an Insights view for BFCM and other trading windows—spend, reconciled ROAS where data supports it, product performance, and budget pacing in one place on the scheduled sync. Compare to last year's peak and your baseline, then act from Playbook priorities your team approves. Data refreshes on a scheduled sync (typically hourly; near-real-time where connectors allow).
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Black Friday: 6am check of Meta, Google, TikTok, Shopify. Spend 40 minutes getting the data. Make a call on budget shifts based on incomplete picture. Repeat every 3 hours.
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Black Friday: open Alpomi Peak Period dashboard. One view: total spend £12,400, ROAS 3.8x, up 22% vs last BFCM. Top product: Jacket SKU driving 35% of revenue. Decision: increase Google Shopping spend on outerwear collection. 5 minutes.
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BFCM debrief: piece together what happened from exports across 4 platforms. Takes 3 days. Learnings arrive too late to apply to Christmas campaign.
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BFCM debrief: Alpomi peak period archive shows channel-by-channel ROAS, product-level performance, and pacing vs plan. 30 minutes. Christmas campaign adjusted before it launches.
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One view during BFCM — not four
All channels, live spend, and live ROAS in a single peak period dashboard
Peak vs baseline comparison
Know whether BFCM is overperforming or underperforming vs your typical week — in real time
Faster decisions when every hour of spend matters
Make budget shifts during peak based on live data — not gut feel or 3-hour-old numbers
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