DeepVu × leading QSR brand

Thereportlookedflat. Thebusinesshadn'tbeen.

How incrementality measurement separated the growth branding actually caused from the growth that would have happened anyway.

DeepVu — incrementality by segmentlive

The challenge

An aggregate view said the campaign did nothing. That conclusion was about to cost real growth.

Averages hide movement. When strong performance in one segment sits next to weak performance in another, the aggregate lands somewhere in the middle — and looks like nothing happened at all. The brand was close to cutting a channel that was working.

What we did

  1. 1

    Define the question

    Not 'what did the campaign deliver?' but 'what would have happened without it?'

  2. 2

    Build the counterfactual

    DeepVu modelled a like-for-like baseline so exposed and unexposed behaviour could be compared honestly.

  3. 3

    Measure by segment

    Incrementality was calculated per audience, device and daypart instead of one blended number.

  4. 4

    Reallocate

    Budget moved toward the segments carrying genuine incremental orders and away from the ones riding existing demand.

An average is a decision waiting to be made badly.

YOptima measurement team

The outcome

The channel wasn't underperforming. The measurement was.

Segment-level
Incrementality, not blended averages
Counterfactual
Baseline modelled before claiming credit
Reallocated
Spend moved to genuine incremental demand

What marketers can learn

Before you cut a channel, check whether you measured it or just averaged it.

Readytoengineerbetter brandingoutcomes?

Every campaign leaves signals about where growth is being created — and where it's being lost. Let's uncover them together.