METRICS EXPLAINED

Your complete reference for understanding predictive analytics

Evaluate Your Content in 30 Seconds

Check these four numbers in order. If all four pass, your content is ready.

1

Impact Score

≥ 7.0

Overall creative effectiveness

2

Cognitive Demand

25–50

Not too simple, not too complex

3

Memory

≥ 65

Viewers will remember your brand

4

Avoidance

< 30

Viewers will not skip your content

What to improve first?

If Cognitive Demand > 50Simplify visually — fewer products, cleaner layout
If Focus < 40Strengthen the key element — make CTA or product more prominent
If Engagement < 50Add emotional element — human face, movement, surprise
If Memory < 50Check Cognitive Demand and Focus first — they drive Memory

Impact Score (NIS)

A single 1–10 score summarizing your creative's overall predicted effectiveness. NIS is calculated from all underlying metrics. It is your "pre-flight check" before spending media budget.

≥ 7.0

Optimized

Ready to launch

3.5–6.9

Needs refinement

Optimize before launch

< 3.5

Needs improvement

Significant changes required

Performance Badges

Badges are earned automatically when your content meets the threshold. The more badges, the stronger your content. Badges directly determine your Campaign Readiness verdict.

BLS Ready

Memory ≥ 65

Content has strong Brand Linkage Score — viewers will remember your brand

Intent Impact

Intent ≥ 65

Content drives strong action intent — viewers are motivated to click or buy

Trusted

Trust ≥ 65

Content appears credible and trustworthy

Simple

Cognitive Demand 25–50

Content is easy to process without cognitive overload

Campaign Readiness

The verdict is automatically calculated based on which badges your content earned and the campaign objective. The objective is set when you create a test.

Ready for Campaign

Requires: BLS Ready + (Trusted OR Simple)

Content is strong enough for brand awareness campaigns

Review Before Use

Requires: BLS Ready only

Good recall, but trust or simplicity needs improvement

Needs Optimization

Requires: No BLS Ready badge

Brand recall is below threshold — optimize before spending budget

Not sure which objective to choose?

If the campaign goal is brand recall and recognition, choose Brand Building. If the goal is driving purchases or clicks, choose Conversion. If unsure, ask your Project Manager or check the FAQ.

Detailed Metrics

Each metric answers a specific question about your content. Click any metric to see score ranges, tips, and connections to other metrics.

How to read the metrics

All metrics are "higher is better" except two special cases: Cognitive Demand (middle range 25–50 is best) and Avoidance (lower is better).

ACEI and ECEI

Composite effectiveness indices that combine multiple metrics into a single score. Both are displayed on every test result.

ACEI

Ad Creative Effectiveness Index

Predicts how effective your content will be for awareness campaigns. Scale: 0–100 (higher is better).

Memory
30%
Intent
25%
Cognitive Demand
20%
Engagement Potential
25%

ECEI

E-commerce Creative Effectiveness Index

Predicts how effective your content will be for conversion campaigns. Scale: 0–100 (higher is better).

Memory
20%
Intent
35%
Cognitive Demand
15%
Engagement Potential
30%

Cognitive Demand is inverted

Lower complexity improves your ACEI and ECEI scores. This is the opposite of how the raw Cognitive Demand metric works.

Weights are adjustable by your administrator in the Admin panel.

Heatmaps — How to Read Them

Visual overlays that show where viewers focus their attention and what they might miss.

Attention Heatmap

Shows where viewers' eyes are predicted to look in the first 2–3 seconds.

Red/Yellow= High attention
Blue/Green= Low attention
Transparent= Not noticed

What to look for: Is the product, logo, or CTA in the red zone? If not, viewers may miss your key message.

Fog Heatmap

Shows what viewers will NOT see clearly — areas that are "foggy" to the brain.

Clear areas= Visible to viewers
Foggy areas= Likely to be ignored

What to look for: Is your key message in a clear area? If it is in the fog, consider repositioning.

Video heatmaps

For video tests, heatmaps are generated as video overlays showing attention flow frame-by-frame. Pay attention to the first 2 seconds — that is when most viewers decide to watch or skip.

Benchmarks

Industry averages from our database of tested content, filtered by category.

How to read them

Your score is compared to the industry average. Above benchmark = outperforming, below = underperforming.

Percentile buckets

Extreme Low (0–20th), Low (20–40th), Medium (40–60th), High (60–80th), Extreme High (80–100th).

Category-specific

A Memory score of 60 might be above average for Beauty but below average for FMCG. Benchmarks use the most specific data available (precise category → industry → global).

View benchmarks on the test results page or visit the Benchmarks page for a full overview.

FRT (Fast Response Test)

The methodology behind Intent, Trust, Engagement, and Avoidance metrics.

Step 1

View ad briefly (~5 seconds)

Step 2

Quick yes/no word associations

Step 3

Score calculated from reaction time

FRT measures instinctive reactions, not conscious opinions — making it harder to "fake" and more predictive of real behavior. Faster answers indicate stronger, automatic associations.

FRT MetricAI Accuracy
Engagement91%
Avoidance89%
Intent92%
Trust93%

Video vs Image Testing

Key differences between testing static images and video content.

Aspect Image Test Video Test
Processing time~30 seconds2–10 minutes
HeatmapsStatic overlayVideo overlay (frame-by-frame)
MetricsSingle set of scoresAggregated from all frames
File size limit20 MB30 MB
Best forStatic ads, social posts, bannersReels, TikToks, Stories, video ads

Video tests analyze every frame and aggregate the results. The heatmap video shows how attention moves through your content over time — useful for identifying the exact moment viewers lose interest.

Note

Interpretations and recommendations are AI-generated and may not reflect reality. Always verify results with actual campaign data.