SAMPLE REPORT·CONSUMER / FOOD & BEVERAGE·FIELDED FEB 2025

Sample Report: Two ad creatives, 244 faces — what emotion data said before launch

SOURCE-LINKEDANONYMIZEDn = 244VIDEO EMOTION
METHOD
Webcam emotion capture, frame-by-frame
SAMPLE
244 usable (1,334 eligible)
STIMULI
2 in-house cuts + competitor benchmarks
AGE SPLIT
13–17 (44.7%) · 18–24 (55.3%)
GENDER
68% female · 27% male · 5% other
SHIPPED
Brief to verdict, pre-launch
EXECUTIVE SUMMARY · OPEN

Across 244 usable reaction videos, the predominant expression was flat and slightly negative — exactly what a distracted viewer looks like, and a poor verdict on the creative. So we measured change off each viewer's own baseline, not raw intensity. Read that way, smiling is the channel that tracks ad and brand effect , , and at scale a positive shift is recoverable from webcam responses well enough to predict ad liking . The one reaction worth acting on was a Surprise spike — invisible in the average, isolated to the 13–17 segment, on a single second of one cut. Stated preference would never have found it.

244
usable reaction videos analyzed
1,334
eligible participants funneled
1
cut that earned a real reaction
13–17
the segment that surprised
KEY FINDINGS · OPEN

Five findings — and only one of them is a reaction.

Each finding is read off the time-aligned emotion trace, normalized against each viewer's own baseline. The resting face is a floor, not a verdict; what counts is where the face moves, in which direction, and at which second. The full segmented traces ship in the downloadable report.

FINDING 01HIGH IMPACT

Measure change, not the dominant emotion

"Sad was the floor. Happy was the only channel that actually moved with the content."

baseline-normalizedHappy = signalSad = canvas
EMOTION TIMELINE · 0:00 – 4:32
0:001:303:004:32
FINDING 02CONTEXT

The predominant expression was flat

"Across all 244 videos the most common expression was low-grade negative, and it did not develop."

whole populationdid not develop
SHARE AT NEGATIVE BASELINE
74%
FINDING 03LOW RISK

Negative emotion never spiked

"Fear and Anger showed no meaningful shift for any clip — no aversion event, no recoil."

Fear + Anger channelsno harm
PEAK NEGATIVE SHIFT
12%
FINDING 04HIGH IMPACT

The Surprise spike — one cut, one segment, one second

"A sharp Surprise spike appeared only in 13–17 White & Asian viewers, on cut one, at the cup-placement moment — then a positive follow-through."

13–17 subgroupcut one onlySurprise → Happy
13–17 SHARE OF SAMPLE
45%
FINDING 05MED IMPACT

Cut two moved no one; benchmarks set the ceiling

"The reordered second cut drew no strong reaction in any demographic; the longer competitor spots with people and animals pulled the strongest Happy in the test."

cut two flatbenchmarks calibrate
CUT-TWO PEAK SHIFT
5%

Lead recommendation surfaced from Finding 04

RECOMMENDATION · DEFENSIBLE

Build the launch around the one moment that earned a reaction. Cut a short version that front-loads the placement-and-swirl beat before the brand mark appears — positive expression converts to intent only when it lands right before the brand. Retire the second cut. If there is budget for a follow-up, the longer story-and-character structure of the benchmarks is the proven pattern.

SURPRISE → HAPPYYOUTH 13–17FRONT-LOAD THE BEAT244 VIDEOS
EVIDENCE STRENGTH
70%
EVIDENCE PREVIEW · OPEN

Three signal traces behind the verdict.

TRANSCRIPT · SURPRISE CHANNEL · AGES 13–17
~0:06Sharp percentile spike at the cup-placement second on cut one, then a positive follow-through. Flat for every other clip and every other age group — the entire case for video over a preference question.
SURPRISE · 13–17CUT ONEFINDING 04
TRANSCRIPT · HAPPY CHANNEL · BENCHMARK SPOTS
The strongest movement off baseline in the whole test, by a wide margin. The benchmarks are not the deliverable; they prove the measurement can detect a strong reaction when one exists.
HAPPY · BENCHMARKCALIBRATIONFINDING 05
TRANSCRIPT · SAD CHANNEL · FULL POPULATION
Highest absolute intensity in the session, near-zero change across clips. The resting face of a distracted viewer — a floor to measure movement against, not a verdict on any creative.
SAD · POPULATIONTHE FLOORFINDING 02
PERSONAS · OPEN

Five segments — who reacted, and to what.

Segmented from the time-aligned emotion traces by age, gender, and ethnicity. Shares are of the 244-video sample; the line under each is the reaction that defines it.

~20%MAIN PERSONA

The 13–17 Surpriser (White & Asian)

"The only segment that flinched — Surprise into Happy at the cup-placement second on cut one, and nowhere else."

The youngest viewers, most likely to share. The single actionable reaction in the test lives here. Build the cut-down for them.

~25%NO SIGNAL

The 13–17 Unmoved (Black & Hispanic)

"Cut one did not resonate. No strong shift either way, positive or negative."

Same age, different response. The placement gag did not land. A reminder that "youth" is not one audience on this creative.

~55%MUTED

The 18–24 Baseline

"Flat across both in-house cuts; the benchmarks still moved them."

The larger half of the sample, and the quieter one for this creative. They prove the sensor works — they react to the strong benchmarks — they just do not react to the cuts on test.

27%MOST RESPONSIVE

The Male Responder

"Most responsive overall, with the strongest Happy of anyone on the character-and-animal benchmark."

A smaller slice of the sample but the most expressive. Useful for calibration; not where the in-house cuts won or lost.

68%NO DIFFERENCE

The Female Majority

"Reacted, but with no actionable creative-level difference between the cuts."

Two thirds of the sample. They engaged, yet the in-house cuts did not separate for them — which is itself a finding when a creative is meant to.

YOUR STUDY, YOUR CUSTOMERS

This is one real study, anonymized. The next one could be about your customers.

We don't share client reports — but we'll run a study like this one on your audience and hand you the full evidence trail: every finding traceable to a clip, a transcript, and a segment. Book a 30-minute working session and we'll scope it against a real question of yours.

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