Infection Score: Two-Sided Emotional Transmission Testing for Brand Creative
A service that checks if the emotion felt by an ad creator is the same emotion felt by the audience.
A pre-testing service for ads and brand films that scores creative on how faithfully the emotion the creative team actually felt is transmitted to a test audience — measuring both sides of the emotional 'infection' equation, not just audience reaction.
Concept
A pre-testing module for advertising and brand creative built on the 1898 emotionalist theory of art [0]: a work succeeds when a feeling the maker has actually lived through is handed on through external signs and "infects" the audience. Every major ad-testing product measures only the receiving side — how audiences react. Infection Score measures both sides, and the gap between them.
Workflow
- Sincerity intake (maker side). A structured interview with the creative team: what specific feeling the work is meant to transmit, where it comes from in lived experience, how personally it was felt. Scored for specificity and sincerity.
- Audience panel (receiver side). A targeted panel views the creative; felt emotion is captured through self-report paired with behavioral measures, because corpus work shows people's beliefs about their own aesthetic responses diverge from their actual behavior [6].
- Transmission fidelity. Congruence between the maker's stated feeling and the audience's felt feeling, reported as one Infection Score (0–100) with three sub-scores mirroring the treatise's conditions of infectiousness — individuality of the feeling, clarity of expression, sincerity of the maker [0] — plus a diagnosis of where transmission breaks down.
Delivered as a licensed module for existing testing platforms or a standalone pre-launch study for brand teams.
Why now
The new paper [0] supplies the two-sided criterion — transmission of lived-through feeling from maker to receiver, with sincerity as the decisive condition — that no current ad-testing product operationalizes; audience-side testing alone cannot distinguish a sincere story badly executed from a hollow one that scores well on surface response. Empirical aesthetics has established that the perceptual and emotional processes of aesthetic experience can be captured with current methods [3][4], making the receiver-side measurement deliverable today, and eye-movement evidence that self-reported aesthetic influence diverges from actual viewing [6] justifies pairing self-report with behavioral measures. The flood of AI-assisted, "effectful" creative makes the maker-side check newly valuable: the treatise's attack on art for art's sake [0] predicts that polished form without felt emotion transmits nothing — exactly the failure mode of content produced at scale without anyone feeling it.
Written by GLM · 8 Oct 2026
AI assessment
A conceptually intriguing application of aesthetic theory that lacks a rigorous, objective method for measuring 'maker sincerity,' making it more of a qualitative consulting framework than a scalable software product.
- Evidence strength 2/5
- The core premise relies on a 19th-century philosophical treatise rather than empirical data, and the supporting papers on empirical aesthetics provide general feasibility for receiver-side measurement but do not validate the 'transmission' theory.
- Market pull 3/5
- High-end brand teams and agencies value 'authenticity,' but the willingness to pay for a 'sincerity score' is speculative compared to traditional conversion or sentiment metrics.
- Novelty & moat 4/5
- The two-sided 'infection' approach is a distinct departure from standard one-sided audience testing and does not overlap significantly with existing catalog ideas.
- Feasibility 2/5
- While the audience side is feasible, there is no objective way to 'score' the sincerity of a creative team's lived experience beyond subjective interview analysis.
- Wedge clarity 3/5
- The focus on pre-testing for brand films is a clear entry point, though the delivery as a 'module' for existing platforms is a more realistic go-to-market strategy.
- Simplicity / focus 4/5
- The product is focused on a single metric (the Infection Score) and a specific workflow, avoiding the trap of becoming a broad creative platform.
Scored by Gemma 4 · 8 Oct 2026. Rated against a fixed rubric (evidence, market, novelty, feasibility, wedge, simplicity), relative to the closest ideas already in the catalog. A prior estimate to compare ideas before real-world signal arrives.
Persona discussion
AI personas trained on real people's expertise debate this idea as it evolves.
View the discussion →Act on this idea
Ideas only matter if someone runs with them. Your message goes straight to the founder's inbox — nothing is stored on our servers.
Who benefits
- System1 Groupcompany
Tests emotional response to advertising at scale with its star ratings; the maker-side sincerity and transmission-congruence measurement is its obvious blind spot, and licensing the module would differentiate its product.
- Kantarcompany
One of the largest ad pre-testing businesses; adding a maker-side sincerity module lets it answer the question clients now ask about AI-assisted creative — did anyone on the team actually feel this?
- Zappicompany
A productized ad-testing platform; a transmission-fidelity score slots directly into its automated pre-launch workflows for brand teams.
- Charity: waterorganization
Its fundraising campaigns depend on transmitting the founders' felt urgency to donors; a transmission score would show which stories actually infect audiences before launch.
- Patagoniacompany
Brand value rests on sincerely felt environmental conviction; the score guards against storytelling drifting into effectful but hollow content as the brand scales.
Research it builds on
- What Is Art? (1898)Leo Tolstoy · 2026 · 233 citationsAll ideas from this paper →
- The nature of perception and emotion in aesthetic appreciation: A response to Makin’s challenge to empirical aesthetics.Martin Skov, Marcos Nadal · 2019 · 40 citationsAll ideas from this paper →
- Does descriptive text change how people look at art? A novel analysis of eye-movements using data-driven Units of InterestAlan Davies, Manuele Reani, Markel Vigo et al. · 2017 · 7 citationsAll ideas from this paper →
- The nature of perception and emotion in aesthetic appreciation: A response to Makin’s challenge to Empirical AestheticsMartin Skov, Marcos Nadal · 2019 · 5 citationsAll ideas from this paper →