Peak Period Tracking

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.

Built for for e-commerce
Pain-point led
Before & after
Sound familiar?

Why For e-commerce look for this solution

The real operational pain we solve

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Problem

Peak period attribution is least reliable when stakes are highest

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Problem

Checking Meta, Google, TikTok, and Shopify separately during BFCM wastes hours you don't have

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Problem

Post-BFCM audits regularly reveal 20–30% of peak spend went to underperforming campaigns

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Problem

Under-investing in high-performing channels during BFCM because you couldn't see which ones were winning

What you get

How Peak Period Tracking helps

Peak Period Tracking gives you a dedicated dashboard for BFCM and other trading windows. You see live spend, ROAS, product performance, and budget pacing across all channels in one view — updated every 15 minutes. You can compare against last year's peak and against your non-peak baseline to see whether you're overperforming or losing ground.

The shift

Before Alpomi vs After Alpomi

From pain to clarity with Peak Period Tracking

Before

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.

With Alpomi

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.

Before

BFCM debrief: piece together what happened from exports across 4 platforms. Takes 3 days. Learnings arrive too late to apply to Christmas campaign.

With Alpomi

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.

The impact

What you get when you use Peak Period Tracking

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

Want the full technical breakdown?

See how Peak Period Tracking works

Ready to fix this for your business?

Book a demo and we'll show you how Peak Period Tracking solves these exact problems for for e-commerce.

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Support typically under 2 hours