Solutions / Custom Services / Pricing Research

Pricing Research

Asking customers what they would pay produces a reliable answer that is reliably wrong. The method has to make them trade something off.

Methods that force a choiceAsking directly produces a confident, wrong answer. Trade-off methods do not.

A curve, not a numberDemand response across price points, so you can choose the outcome you want.

Packaging tested tooHow bundles and tiers change perceived value and which configuration performs best.

depth reach InterviewsPanelsSurveysField a mix, weighted to the question
Qualitative depthQuantitative reach

In simple terms

You tell us what you are pricing. We measure what buyers will actually pay using methods that make them trade something off, and give you a demand curve rather than an opinion.

What Pricing Research is. Pricing research measures willingness to pay, price sensitivity and packaging preference through structured methods, producing a demand curve you can price against rather than an opinion.

What makes this different. Fieldwork quality is decided long before anyone answers a question: in the screener, the instrument design and the quality control. That is where most of our effort goes, and it is why the findings hold up.

What the service covers

These are the areas we work across, such as the ones below. We combine them in the proportion your question needs, and we tell you which ones your question does not need.

Willingness to pay

Measured through conjoint, Van Westendorp or gap analysis, chosen to fit the category and the decision.

Sensitivity and elasticity

Demand response across price points, producing a curve rather than a single acceptable number.

Packaging and tiering

How bundles and tiers change perceived value and which configuration maximises the outcome you want.

Competitive context

Pricing tested against real alternatives, since willingness to pay is always relative to the choice set.

Questions this answers

If something like this is on your agenda, the engagement is already half scoped.

  • What will this market actually pay for this?
  • Where is the price point that maximises revenue rather than volume?
  • How should we package tiers so the middle one is chosen?
  • How much volume do we lose at each price step?
  • Is our current price leaving money on the table?

How you can use this

A few of the situations where this service does real work.

Setting an initial price

A new product needs a number and there is no precedent.

A price grounded in measured willingness to pay

Planning an increase

You need to move price and cannot predict volume.

The volume effect modelled before you commit

Designing tiers

You need packaging that steers buyers to the right option.

Tier structure tested against real preference

Suspecting you are underpriced

Deals close too easily and margin feels thin.

The ceiling measured rather than guessed

What changes for your business

The practical difference between running on this and running on what you have now, such as the following.

You get evidence where none was published

Primary research reaches the questions no dataset answers, which is most of the questions that actually matter.

The data is clean enough to rely on

Screening, quality control and documented exclusion rules mean findings survive scrutiny rather than collapsing under it.

You get topline fast

Headline findings arrive within days of fieldwork closing, so decisions do not wait on the full report.

Respondents tell you the truth

Independent fieldwork changes what people are willing to say, particularly about what is going wrong.

You can run it again

Instrument, screener and methodology are handed over, so tracking the same question over time costs a fraction of the first wave.

You test before you commit

Concepts, prices and propositions get checked with real respondents while changing them is still cheap.

Who this is for

Roles that commission this work most often include those below. Each asks a different question and gets a different cut of the same evidence.

Research and insight teams

We need fieldwork we cannot run in-house.

Specialist capacity to your standards, with instrument, dataset and methodology handed over for reuse.

Product and marketing leadership

What do our customers actually think, rather than what we assume?

Evidence from real respondents, with verbatims, so findings can be acted on rather than debated.

Strategy and commercial leadership

Is there enough here to justify the investment?

Primary evidence on demand, pricing and competitive position where no published data exists.

Operations and quality leadership

Is what we designed actually happening in practice?

Independent observation and measurement, reported by location and behaviour so it supports coaching.

Investors and diligence teams

Can we verify this independently before we commit?

Primary market and customer evidence gathered to a defined protocol, with full quality control.

Typical clients

Enterprises needing evidence for a specific decisionMid-size companies without fieldwork capabilityIn-house insight teams needing extra capacityInvestors validating a market or customer baseOrganisations researching unfamiliar markets

How we work

The third step is the one that makes the output usable, and it is the one most work of this kind skips.

Step 1

Understand the decision

We start from what the findings have to support, because that decides sample, method and the precision you actually need to buy.

Step 2

Design and field properly

Screener, instrument and protocol built and piloted before full fieldwork, with quality control running throughout rather than checked at the end.

Step 3

Read it for your position

Findings are interpreted against your market position and the decision in front of you, not reported as a neutral data dump.

Step 4

Deliver so it can be reused

Dataset, verbatims, instrument and methodology handed over, so the next wave costs a fraction of the first.

One finding established once Upstream supplierProducer or provider Channel or partnerInvestor Secure capability earlyBring the change forward Prepare for the shiftReprice the exposure four different recommended actions
Step three in practice. Your position decides what a finding means.

What you receive

Full dataset with respondent metadata and quality flags

Topline findings within days of fieldwork close

Analytical report with verbatimscross-tabs and implications

Instrumentscreener and methodology note for reuse

Access to Phi, our AI research platformincluded

Every engagement comes with access to Phi. Ask questions of your own findings in plain language, pull the evidence behind any number, and keep querying long after the work is delivered. Your team gets the working intelligence, not just the document.

Open Phi
Request a sample Real work with the client's identity removed.

Ways to start

Tell us the decision and the date it has to be made by. We will recommend the smallest engagement that gets you there.

1-2 weeks

Pilot wave

A small first wave to validate approach, screener and instrument.

3-6 weeks

Full fieldwork

Complete fieldwork to target quota, with analysis and reporting.

Quarterly

Tracking programme

The same instrument repeated on a set cycle, reported as change over time.

Common questions

Which method is right for us?

It depends on whether you are setting an initial price, testing a change, or designing packaging. We recommend at scoping and explain the trade-off.

How accurate is this?

Directionally strong and better than any alternative short of a live test. We report confidence intervals rather than a single point.

Who owns the work?

You do. It is exclusive to you, it is not resold, and working files are handed over unlocked.

Will you sign an NDA?

Yes, before the first conversation if you prefer.

Tell us the decision you are facing

Send us the question, the context and your timeline. You get back a recommended first step, what evidence it needs, and what it costs. Not a capability deck.