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Case studyEcommerceNovember (BFCM)

Real client numbers

+112% revenue in November with ROAS holding above target

Spend scaled +134%, ROAS softened only 4%, target maintained

Revenue
+112%
Spend
+134%
ROAS
-4% (above 2x target)

Engineered, not hoped for

Four coordinated decisions that compounded across the month.

What drove the lift

  1. 01

    Expanded Demand Gen with creative segmentation

    Scaled Demand Gen by separating formats instead of bundling them. Image-only campaigns and video-only campaigns. Each format optimised independently around sale messaging, urgency cues, and clear offer framing. Cleaner learning, stronger engagement.

  2. 02

    Duplicated winning campaigns intentionally

    Rather than introducing new variables, duplicated top-performing campaigns. Preserved winning structures, signals, and settings. Expanded reach without destabilising performance. Reinforced proven systems instead of resetting learning.

  3. 03

    Launched a BFCM-specific PMax build

    Sale-driven creative assets, urgency-based messaging, dedicated asset groups aligned to seasonal intent. Isolated promotional traffic from evergreen campaigns to prevent learning pollution.

  4. 04

    Scaled budgets with data, not emotion

    Budget increases were not applied evenly. Driven by product-level performance, audience behaviour patterns, and campaign-level efficiency trends. Spend pushed where data supported it, restrained where it didn't.

Where these numbers come from

Patrick first wrote this account up on the newsletter on 4 February 2026, the week the numbers landed. The figures on this page come from that write-up.

Read the original write-up

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