BFCM: you scaled spend by 3x and didn't know which campaigns were wasting it until January
Every DTC brand has a BFCM story where the numbers looked fine in the platform dashboards but the profit wasn't there when refunds and COGS were factored in. The issue isn't just attribution — it's that most brands are managing 3–5 platforms simultaneously during peak, with no unified spend view and no early warning system for campaigns burning budget without proportional return.
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Scaling spend across Meta, Google, and TikTok simultaneously during peak periods creates visibility gaps
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Individual platform budget caps don't protect your total marketing budget
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Under-pacing on one channel during BFCM means missed revenue opportunity
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Over-pacing on a low-ROAS campaign during peak means profit lost at scale
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Budget Pacing during BFCM gives one spend view across channels, with pacing trends showing where you will finish at current trajectories. Overspend and under-pacing alerts surface in Insights; pair with Playbook proposed tasks when you want to reallocate—your team still approves changes in each ad platform.
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Black Friday: checking Meta, Google, and TikTok Ads dashboards every 2 hours. No unified view. Decisions made on individual channel data, not total picture.
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Black Friday: one Alpomi view for total spend, pacing by channel, and reconciled ROAS. Alerts fire on the sync schedule—your team acts in-platform.
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Monday after BFCM: you realise one campaign overspent by £2,400 over the weekend because you didn't catch the pacing.
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Saturday 10am: Alpomi alert — 'Campaign X is on track to overspend by £2,400 by Monday.' You pause it before the damage is done.
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Pacing visibility during peak periods
One total spend view across channels on the scheduled sync—alerts before overspend compounds
20–30% more efficient peak spend
Catch overspend and under-pacing during the season — not only in the post-mortem
Budget reallocation in minutes
See where budget is being wasted during peak and shift it to what's working
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