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Which LLM interaction creates enough customer value to support sustainable pricing?

Test whether a richer LLM experience creates enough additional customer value to justify both a higher willingness to pay and its incremental serving cost.

ProductValue & PricingAdoption & Retention
LLM Software & Platforms
WHAT YOU CAN EXPECT

Evidence protects you in both directions.

01
Illustrative result · threshold met

+26% · willingness to pay

Pricing strategistIllustrative result · threshold met
+26%

willingness to pay

Customers valued a sponsor-selected premium interaction enough to support a higher price while incremental serving cost remained materially lower than the measured premium.

What your study would pin down

You get willingness-to-pay curves by customer segment and feature package, plus the price points where incremental serving cost starts to erase the premium.

Decision

Package the experience customers can perceive, not raw capability alone.

Public precedent · not your result2,534 mammography patients

Willingness to pay moved sharply with both price and how AI value was explained.

In a 2026 JACR experiment, willingness to pay was 24.4% at $50 versus 13.4% at $500, and ranged from 26.5% under an advertisement condition to 7% under poor-error-rate information.

Source: Journal of the American College of Radiology ↗The precedent shows the effect can exist elsewhere. Your study determines whether, where, and how strongly it holds for your customers, workflows, and economics.
02
Decision

Evidence protects you in both directions.

Pricing strategistThreshold not met · do not scale
What the data may show

No meaningful willingness-to-pay premium

If the intervention does not clear the predefined threshold, that is evidence against spending more to build, launch, or scale it in this context.

Decision

Do not treat the feature as a premium-tier driver.

Pricing strategistThreshold met · value left unused
The other expensive error

A real opportunity can still be left on the table.

If the intervention clears the threshold but the business keeps the current approach, measurable savings, revenue, adoption, or risk reduction may remain unrealized.

Decision

Act only when the measured opportunity is large enough to justify the change.

03
Source

Public precedent · not your result

Comparable public caseHumane

$699 + $24/month — while returns eventually outpaced sales.

Humane’s AI Pin launched at a premium price, but The Verge reported periods when daily returns exceeded sales. Premium pricing only works when customers perceive enough durable value.

Source: The Verge ↗Comparable public case — not a claim that this study would have prevented the event.
Related published evidenceStanford Digital Economy Lab

Mean value of one month of GenAI access reached $124.50 — but the median was only $11.40.

Representative U.S. choice experiments estimated $172B in aggregate consumer surplus in 2026. The large mean–median gap also shows why pricing should be segmented rather than inferred from an average user.

Source: Stanford Digital Economy Lab · 2026 ↗External research for context — not a promise that the same effect size will reproduce in your customers.
HYPOTHESIS

A sponsor-selected premium LLM interaction will increase measured willingness to pay by at least 20% versus the standard experience while keeping incremental serving cost below one-third of the measured price premium.

PRIMARY METRIC

Measured willingness-to-pay premium relative to incremental serving cost.

MEANINGFUL THRESHOLD

At least 20% willingness-to-pay premium and a measured price-premium-to-incremental-serving-cost ratio of at least 3:1.

BUSINESS TARGET

Evidence for whether a premium experience may support sustainable unit economics and deserves a pricing pilot; not a guarantee of realized margin.

DECISION RULES

Willingness-to-pay and cost thresholds met

Proceed to a limited pricing and product pilot.

Customer value rises but economics fail

Reduce cost or complexity and retest.

No meaningful willingness-to-pay premium

Do not treat the feature as a premium-tier driver.

Business outcomes are research targets, not guarantees. A null or negative result may still create substantial value by preventing investment in an ineffective product, feature, or campaign.

Population

Current or prospective customers in a sponsor-defined segment exposed to realistic product tasks and price choices.

Intervention

Sponsor-selected premium interaction such as deeper reasoning, multimodal explanation, personalization, or greater agent autonomy.

Comparator

Standard product experience with the same core task.

Secondary metrics

Task success · Perceived value · Preference · Repeat-use intent · Incremental serving cost

MAKE IT YOUR DECISION

Turn this research question into a decision for your business.

We adapt the population, intervention, thresholds, and economics to your customers. The result may tell you to scale, to stop spending, or to act on an opportunity you are currently leaving unused. Each of those is a useful business decision when the evidence is strong enough.

The goal is not a positive result. The goal is evidence strong enough to change a real decision.

Design this study for your business

What customer or commercial decision should the evidence strengthen?

You know the opportunity. Tell us the decision and choose the outcomes that would make the result useful.

Your role
What should the study help you measure?
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