Pre-Test of Advertising Spots

Measure the attentional, emotional, and memory impact of your ad creatives before release thanks to neuromarketing and eye-tracking.

The client issue

A premium skincare brand is preparing the launch of a 360° TV and digital campaign for its new anti-aging serum and wants to pre-test 3 creatives before committing a media budget of several million euros.

Traditional focus groups produced contradictory results. The brand needs objective neuroscientific data to choose between its creatives and optimize the final edit.

The identified challenges

  • Identify the creative with the best emotional engagement potential
  • Measure attention second by second on each version of the spot
  • Quantify branding impact: memorability, attribution, and spontaneous recall
  • Optimize the final cut thanks to attention peaks and drop-off moments
Advertising spot pre-test

Multi-creative neuroscientific evaluation

300Participants
3Tested creatives
5Countries
14Days

Qualified Media Target

Profiles matching the media plan: women aged 25-55, higher socioeconomic status, premium skincare affinity.

🇫🇷France60 participants
🇺🇸United States60 participants
🇬🇧United Kingdom60 participants
🇩🇪Germany60 participants
🇯🇵Japan60 participants

Eye-Tracking + Facial Coding + EEG

Complete neuroscientific battery in a controlled and in-context environment (mobile + TV).

01

Baseline

Reference measurements at rest to establish individual baseline levels

02

Exposure in clutter reel

Viewing the spot inserted into a simulated TV program with competing ads

03

Second-by-second eye-tracking

Mapping of attention areas, fixations on the product, the face, the packshot, the logo

04

Measurement of emotional responses

Facial coding (FACS) + EEG to identify engagement peaks and micro-expressions

05

Recall & Brand attribution

Spontaneous and aided recall test + brand attribution at 24h and 7 days

Neuroscientific advertising KPIs

Attention Score

Second-by-second measurement of visual attention level: fixations, saccades, viewing time on key elements (product, logo, face).

Temporal heatmapsPackshot dwell timeLogo visibility

Emotional Engagement

Engagement curve via facial coding (FACS) and EEG: emotional peaks, positive/negative valence.

Emotional peaksValence index

Brand Recall & Attribution

Spontaneous and aided recall rate, correct brand attribution at D+1 and D+7.

Top-of-mindAided recall

Purchase Intent Lift

Variation in purchase intent before/after exposure and inter-creative comparison.

Intent deltaPersuasion score

Conversational Avatar

AI-guided interview to gather stated perceptions.

Overall satisfaction Repurchase intent

Data-driven campaign optimization

+34% emotional engagement on the selected creative vs the initial version

Creative A — "Ritual"

Selected

Best emotional engagement score (index 142) and spontaneous recall at 72%. The emotional peak on the face shot at 0:18 generates the strongest positive valence.

Creative B — "Science"

Optimizable

Strong brand recall (68%) but attention drop-off between 0:08 and 0:15. Recommendation: tighten the edit and move the packshot earlier.

Brand Attribution

89%

Correct brand attribution rate at 24h for Creation A. Score above the cosmetics category benchmark (72%).

Purchase Intent

+18pts

+18-point lift in purchase intent post-exposure vs pre-test. Score above the effectiveness threshold (+12pts).

Creative optimization recommendations

Validated

Creation A: best potential for advertising impact

Composite attention × engagement × recall score significantly higher (p<0.01)

Recommendation

Move the packshot 3 seconds earlier

Maximum attention window between 0:15 and 0:22 — the current packshot at 0:25 comes after drop-off

Validated

The face shot at 0:18 is the key moment

Emotional peak identified by EEG and facial coding — strongest memory anchor in the spot

Insight

Cultural adaptation needed for Japan

Engagement score -22% vs average — direct emotional storytelling resonates less in this market

Are you preparing an advertising campaign?

Optimize your creative assets with neuroscientific data before investing your media budget.

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