ordeenThe right product at the right price. Chosen by the market, not the boardroom.
An Ordeen study is the evidence behind your price and product line-up. What customers actually trade off when money is on the table, what each feature is worth in pounds or dollars, which SKU line-up reaches the most buyers, and who steals your share when you raise your price.
No six-week agency hand-off. No black-box AI inventing fake respondents. You upload a strategy brief, field to real buyers via our built-in panel, and get a live Hierarchical Bayesian simulator for your whole leadership team in days.
Pricing a product is lopsided. Opinions are cheap; mistakes are expensive.
Ask customers in a normal survey how important price is and they will tell you it is everything. Ask if they want faster delivery or SSO and 90% say yes. Launch on those answers and your margins collapse—because stated opinion is not revealed preference.
Quantitative choice modelling fixes this by forcing buyers to trade off realistic product configurations and prices head-to-head. Yet until now, running a proper study meant choosing between two broken routes:
Route 1: The six-hand-off agency project. Your brief passes from an account manager to a survey programmer, to a panel broker, to a statistician running desktop software, to a slide designer. Weeks later you get a 60-page PDF. When a competitor cuts price the next week, you can't re-query a PDF.
Route 2: The survey-suite add-on. You bolt a basic conjoint widget onto a general survey tool. There is no conditional pricing for tiers, no check on whether the Bayesian sampler actually converged, and point-ratio Willingness-to-Pay numbers that blow up whenever price sensitivity is noisy.
We built Ordeen so your own product, pricing or insights team can go from a strategy brief to an audited, interactive Bayesian market simulator in one workspace.
Four questions every pricing decision turns on.
01. "If we raise our Pro tier from £39 to £49 and add SSO, do we gain revenue or lose share?"
Read: Conditional pricing for tiers →Testing Starter (£19) and Enterprise (£399) on one price list creates £399 Starter cards. Blocking them with prohibitions correlates tier and price, breaking the model.
Tests the 2 or 3 static scenarios you thought of six weeks ago. Testing a new price point or unit-cost margin requires going back to the analyst.
Designs on orthogonal price steps, fits in tier-centred log-price, and lets you drag price live across 25 rungs with paired-draw 95% credible intervals.
02. "How much is each feature upgrade actually worth in money—and can we trust the ratio?"
Read: Why naive WTP formulas lie →Measures stated price resistance on one fixed product in a vacuum, ignoring competitor switching and individual feature value.
Divides average feature utility by average price slope. When price sensitivity is small or heavy-tailed, Jensen's inequality makes the ratio explode.
Computes convexity-preserving Krinsky-Robb intervals anchored to your focal product, plus the exact share-holding price move against competitors. Refuses degenerate slopes outright.
03. "Which 3 SKUs or roadmap features reach the largest unduplicated share of our market?"
Read: Competitive Portfolio TURF →Every feature is rated 4.2 out of 5. Picking the top 3 items often selects 3 features that appeal to the exact same 40% of buyers.
Counts a buyer as reached if your SKU beats buying nothing—ignoring rival brands on the shelf and falsely predicting 99% reach on 2 SKUs.
Measures probabilistic reach against both named market competitors and the walk-away ceiling, stopping at the exact ≥2pp statistical elbow.
04. "Did the Bayesian model actually converge on clean human data?"
Read: R-hat, ESS & Divergences →Hides MCMC chain diagnostics. If the sampler failed to mix or bots sped through the survey, you still get a confident-looking chart.
Requires exporting raw CSVs after fieldwork to clean speeders by hand and run multi-seed convergence checks externally.
Runs a 60–90s warm-up game and AI open-end fraud screen during fieldwork, then checks R-hat, ESS, divergences and holdout hit rate. Non-converged fits are withheld.
Test a live pricing & packaging scenario right now.
Illustrative Click a price rung or toggle a feature below. The numbers shown are from a fabricated example SaaS scenario and are for interactive demo only. In a real Ordeen study, these numbers recompute from your fielded respondents' individual Hierarchical Bayesian posterior draws.
At £39 without SSO, you lose enterprise switchers to Competitor A.
Try clicking £49 / mo and + SAML SSO Included above. Because SSO commands a +£14.80 focal-buyer WTP, adding SSO while raising price by £10 actually increases share by +3.7pp and lifts revenue by +34% in this illustrative scenario.
One workspace. Yours within days, not quarters.
You upload the brief.
Describe the decision and attach any deck or CSV. Ordeen recommends one of the 6 methods, drafts your competitor SKU table and attributes, and scores level balance & orthogonality before launch.
Real buyers trade off.
Launch to our integrated Prodege panel across 18 countries (~£3–£4/complete with World Bank quotas) or your own customer list. A 60–90s warm-up game and automated fraud checks clean responses live.
Bayesian estimation & segments.
Multi-chain Hierarchical Bayes estimates individual utilities. Reliability-weighted k-means++ and Bayesian Latent Class discover and name your buyer segments.
You simulate & run waves.
Test prices, bundles and TURF line-ups live. Share password-protected simulator links with 10 stakeholders, export respondent CSVs, and click Run next wave next quarter.
Three commitments. All of them checkable.
We don't ask you to take our numbers on trust. Every diagnostic is printed on the result, every safeguard is automatic, and our entire statistical methodology is published openly.
Enforced convergence & slope refusal
An MCMC sampler always outputs numbers, even when chains never mixed. Ordeen checks split-chain R-hat, Effective Sample Size (ESS) and divergences on every fit—withholding any model that fails to converge, and refusing any WTP figure whose price slope changes sign across draws.
Posterior-expectation shares & Shapley
Plugging average utilities into a simulator washes out polarized niches, and traditional range importance changes whenever you widen the price ladder. Ordeen integrates shares across every respondent and posterior draw, and computes level-invariant Shapley importance.
Signal-weighted segments & FDR control
Standard k-means lets noisy attributes drag cluster centroids around, and testing 50 attribute interactions guarantees false positives by chance. Ordeen weights k-means by hierarchical reliability, runs Bayesian Latent Class alongside it, and gates interactions with Benjamini-Hochberg FDR.
Pricing and product research, with the maths in front of you.
Plain-English guides for strategy, product and pricing teams at every step from picking a method to defending the simulator in the boardroom.
Choosing the method & sample
- What is conjoint analysis?Methodology, history & use cases
- Van Westendorp, Gabor-Granger or conjoint?3 questions to pick the right tool
- CBC vs. Adaptive CBC (ACBC)When 8+ attributes need adaptation
- How many respondents do you need?Johnson's rule, 300 floor & segments
- Conditional pricing for tiers & packsAvoiding the prohibition trap
- What is Anchored MaxDiff?Best-worst scaling for 10–30 items
- What is Menu-Based Choice (MBC)?Baskets, add-ons & bundle pricing
- What is Van Westendorp (PSM)?4 price crossings + NMS extension
- What is Gabor-Granger?Adaptive ladders & Juster calibration
- Can LLMs replace human respondents?Why synthetic AI fails on price
The Bayesian econometrics
- Full statistical methodologyEvery equation, prior & diagnostic
- What is Hierarchical Bayes (HB)?Partial pooling & individual utilities
- Convergence diagnostics: R-hat & ESSWhy failed fits are withheld
- What is Willingness to Pay (WTP)?Buyer valuation vs. share-holding
- The Krinsky-Robb method for WTP CIsPosterior draws & slope refusal
- Tier-aware WTP: 3 ways formulas lieFixing ratio bias on tiered plans
- Shapley vs. range importanceFixing price-range distortion
- What is Nested Logit?Fixing IIA for close substitutes
- The Benjamini-Hochberg procedureFalse discovery control on pairs
- The Haldane small-cell correctionZero-cell fix in interaction tests
Simulators & industry playbooks
- Using a conjoint market simulatorPrice curves, elasticity & TURF
- Share of preference vs. market shareThe simulator caveat for decks
- What is Latent Class analysis?Mixture-model choice segments
- Latent Class vs. k-means segmentationHow to choose & why to run both
- SaaS Good-Better-Best tier pricingConditional pricing + MBC add-ons
- CPG Price-Pack Architecture (PPA)Pack sizes & Competitive TURF
- B2B roadmap feature prioritisationAnchored MaxDiff vs. Conjoint
- DTC price testing without A/B testsMapping demand cliffs safely
Comparisons & companion suite
- Conjoint software compared (2026)Desktop, survey suites & cloud
- MaxDiff software comparedStandard vs. Anchored HB & TURF
- Pricing research tools comparedPSM, Gabor-Granger & Conjoint
- Ordeen vs. Sawtooth SoftwareLighthouse Studio & Discover
- Ordeen vs. Qualtrics XMSpecialist vs. survey add-on
- Ordeen vs. ConjointlyMethods, diagnostics & WTP
- Ordeen vs. quantilopeEconometrics vs. brand tracking
- Ordeen vs. QuestionProResearch Edition compared
- Ordeen vs. SurveyMonkeyOutgrowing basic templates
Less than the cost of one consultancy study. Unlimited studies all year.
Both plans give your team the complete Choice Modelling platform—all six methods, Hierarchical Bayes and Latent Class estimation, the live simulator, and 10 executive viewer seats on shared links. Respondents are bought at cost (~£3–£4/complete) in non-expiring Prodege packs, or fielded to your own customer list for free.
Quarterly Plan
£10,000Per quarter · 5 creator seats + 10 live simulator viewers- All 6 methods: CBC, ACBC, Anchored MaxDiff, MBC, Van Westendorp & Gabor-Granger
- Unlimited studies and longitudinal tracking waves during the quarter
- Hierarchical Bayes & Bayesian Latent Class with convergence diagnostics
- Live Market Simulator with 95% credible intervals, WTP, 2D heatmaps & TURF
- Respondent-level CSV, XLSX, JSON & Parquet exports + segment typing tool
Standard Annual Plan
£35,000Per year · 5 creator seats + 10 live simulator viewers- Everything in the Quarterly Workspace for the full 12 months
- Saves £5,000/year compared to quarterly billing
- Continuous multi-wave tracking as competitors and market prices move
- EU-hosted in Google Cloud Belgium; DPA included; independent security reviews (April & October 2026)
- Single annual invoice for procurement; extra 5-user packs at tier rate
Price Monitoring →
Track real retail checkout prices (price + delivery), promos and variant stock across 200+ retailers in 18 countries with screenshot evidence.
Read guide →Demand Forecasting →
AI proposes external signals; econometrics validates them out-of-sample. Includes Croston/TSB intermittent demand and MinT reconciliation.
Read guide →Contract Analysis →
Analyse agreements against governing-law statute files and your company role; score portfolio risk, consolidate MSAs and draft renewals.
Read guide →Bring your brief. We'll draft the market live in 20 minutes.
Walk through a live simulator with the team that built the estimation engine, and see how your pricing or product question maps to a study.