Sensemitter is now Emhance.

For marketers

For marketers

Learn more,

spend

less

There is a growing gap between how cheap it is to create variants and how expensive it is to test them. Emhance AI gives you the tools to make better choices.

Book a demo

Trusted by player-obsessed studios

Why it works

Why it works

Traditional testing tells you

what happened

AI

AI tells you

tells you

why.

Emhance AI helps you understand how ads and store assets are experienced so you can iterate with confidence and build knowledge that compounds over time.

Deconstruct winning component

Deconstruct marketing assets to find winning components, rather than just seeing top-level metrics.

Deconstruct winning component

Deconstruct marketing assets to find winning components, rather than just seeing top-level metrics.

Deconstruct winning component

Deconstruct marketing assets to find winning components, rather than just seeing top-level metrics.

Deconstruct winning component

Deconstruct marketing assets to find winning components, rather than just seeing top-level metrics.

Cumulative learning library

Compare patterns across formats and campaigns to build a durable library of hooks, structures, and moments that tend to work.

Cumulative learning library

Compare patterns across formats and campaigns to build a durable library of hooks, structures, and moments that tend to work.

Cumulative learning library

Compare patterns across formats and campaigns to build a durable library of hooks, structures, and moments that tend to work.

Cumulative learning library

Compare patterns across formats and campaigns to build a durable library of hooks, structures, and moments that tend to work.

More efficient spend

Reduce dependence on large, high-volume tests for early learning. Reserve spend for ideas with clearer experiential signal.

More efficient spend

Reduce dependence on large, high-volume tests for early learning. Reserve spend for ideas with clearer experiential signal.

More efficient spend

Reduce dependence on large, high-volume tests for early learning. Reserve spend for ideas with clearer experiential signal.

More efficient spend

Reduce dependence on large, high-volume tests for early learning. Reserve spend for ideas with clearer experiential signal.

Use cases

Use cases

What to test first

Start where live tests are most expensive: early learning, hook discovery, and concept direction — then use spend for verification and scaling.

Hook strength

See whether attention is captured in the opening seconds, and which visual idea actually earns the first look.

Hook strength

See whether attention is captured in the opening seconds, and which visual idea actually earns the first look.

Hook strength

See whether attention is captured in the opening seconds, and which visual idea actually earns the first look.

Pacing and structure

Identify moments that sustain engagement versus moments that leak attention, then refine timing, payoffs, and sequencing.

Pacing and structure

Identify moments that sustain engagement versus moments that leak attention, then refine timing, payoffs, and sequencing.

Pacing and structure

Identify moments that sustain engagement versus moments that leak attention, then refine timing, payoffs, and sequencing.

Drop-off diagnosis

Pinpoint the second where viewers disengage and tie it to the exact frame, scene change, or message shift.

Drop-off diagnosis

Pinpoint the second where viewers disengage and tie it to the exact frame, scene change, or message shift.

Drop-off diagnosis

Pinpoint the second where viewers disengage and tie it to the exact frame, scene change, or message shift.

Competitor benchmarks

Analyze competitor top performers to uncover the specific hooks, pacing, and structural patterns driving their success.

Competitor benchmarks

Analyze competitor top performers to uncover the specific hooks, pacing, and structural patterns driving their success.

Competitor benchmarks

Analyze competitor top performers to uncover the specific hooks, pacing, and structural patterns driving their success.

ASO first-glance behaviour

Understand what is seen first on icons, screenshots, and trailers, and which patterns keep attention through the page.

ASO first-glance behaviour

Understand what is seen first on icons, screenshots, and trailers, and which patterns keep attention through the page.

ASO first-glance behaviour

Understand what is seen first on icons, screenshots, and trailers, and which patterns keep attention through the page.

Pattern benchmarking

Compare multiple creatives across formats and campaigns to extract reusable patterns instead of one-off winners.

Pattern benchmarking

Compare multiple creatives across formats and campaigns to extract reusable patterns instead of one-off winners.

Pattern benchmarking

Compare multiple creatives across formats and campaigns to extract reusable patterns instead of one-off winners.

Why emotion intelligence matters

Live Testing Alone

High CPM/CPI makes significant tests expensive

Early metrics can be noisy, leading to false negatives

Privacy limits reduce visibility into down-funnel impact

Explains outcomes, not why the asset worked

Find growth gems inside campaigns, by identifying engaging moments

Informed direction: improve iteration before spending for certainty

Shared evidence: align UA, creative, and ASO on what to explore next

Method

Attention: gaze and blink dynamics indicate what is actually seen.

Activation: facial expression intensity used as a proxy for emotional intensity.

Timing: signals mapped second-by-second.

Interpretation: used diagnostically, not as a verdict. Signals inform direction, not creative value judgements.

Fits with your KPIs

Complements CTR, CVR, IPM, ROAS.
Strengthens early iteration.

How it works for marketing teams

Use Emhance AI early to learn, iterate, and build reusable patterns. Use live tests to verify, price, and scale with confidence.

Choose assets to learn from

Ads, variations, and store page concepts. Start with the questions that drive iteration speed.

Run the tests

Viewers watch on real devices in realistic conditions, so attention patterns reflect actual behaviour.

Capture attention & activation

Camera-based signals recorded second-by-second alongside the creative timeline.

Decode experience patterns

Identify capture moments, sustained engagement, and drop-offs mapped to frames and seconds.

Iterate with direction

Refine hook, structure, pacing, and store page hierarchy based on what viewers actually experienced.

Build a library

Store patterns by genre, format, and audience so learning carries forward instead of resetting every campaign.

421+

Signals per second

10%

Increased CVR

Faster iteration

Ready to learn before you spend?

See how attention and engagement timelines can guide creative and ASO iteration, then make live tests more efficient.