Gabor-Granger Pricing Survey: The 2026 Guide for Indian Brands Measuring Price Sensitivity

Run Gabor-Granger pricing surveys on Hercules Works: AI demand curves, price elasticity for Indian consumers. 20M+ SuperJ panel, Poseidon AI. From ₹0/month.

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Gabor-Granger Measures Demand at Specific Prices. India Needs It Done Right.

In February 2025 a promising D2C beverage brand in Bangalore was staring at a spreadsheet that said ₹199. The founder believed it, the investor believed it, the agency deck believed it. They launched at ₹199, sold 3,000 units, and then watched a competitor launch the same benefit at ₹149 and sell 40,000 units in the same month. The difference was not branding. It was not distribution. It was a demand curve they never measured.

Indian founders set prices by gut, competitor mirroring, or cost-plus — then pray. The result is predictable: prices that are ₹20 too high and lose 40% of demand, or ₹30 too low and leak 30% margin on every unit. Western pricing tools rarely help because Indian price elasticity is steeper (-1.5 to -3.0), bargain psychology is real, and Tier 1 vs Tier 2/3 willingness-to-pay differs by 30-50%. Without a direct measurement of purchase intent at each price, pricing remains guesswork.

Gabor-Granger is the most direct pricing methodology for this job — it measures purchase intent yes/no at specific prices and builds a demand curve you can price from.

Built by Jupiter Meta Labs, Hyderabad, Hercules Works was designed exactly for this Indian reality. It pairs Poseidon AI — an AI research engine trained on millions of Indian consumer responses — with the SuperJ app with 20M+ verified Indian consumers who answer in exchange for rewards — ZK-verified, zero bots, covering Tier 1, Tier 2 and Tier 3 cities, SuperJ app with 60-90%+ response rates. Surveys are delivered with a SuperJ app UX that people actually enjoy answering, available in 8+ Indian languages with cultural context baked in, not machine-translated. You get verified human answers in hours, and Poseidon AI turns them into board-ready narratives in minutes.

Trusted by Unilever, Kantar, Government of Karnataka, ICICI Prudential and SBI Mutual Fund. Pricing is transparent and Indian: Free ₹0/month (10 AI chats, 100 SuperJ users, permanent — not a trial), Starter at ₹1,119/month (₹895/month billed annually, 20% off), Pro at ₹30,000/quarter (₹24,000/quarter billed annually, 20% off), plus 100 free responses in your first month and annual plans save 20%. This guide walks you through how to get real answers — fast, affordable, and India-native — and why the brands that win in 2026 treat consumer research as a continuous habit, not a quarterly project. Built

What Is Gabor-Granger and Why It Beats Guessing

The Simple, Powerful Core Idea: Gabor-Granger asks a blunt question at each price: 'Would you buy this product at ₹X?' The pattern of yes/no answers across prices builds a demand curve — the percentage who would buy at ₹149, ₹199, ₹249, ₹299 and beyond — plus price elasticity and the revenue-maximising price where price × demand is highest. It is the most direct measurement of the price-demand relationship, proven since Gabor and Granger in the 1960s. Built by Jupiter Meta Labs, Hyderabad, Hercules Works handles this natively through Poseidon AI and the SuperJ app with 20M+ verified Indian consumers — ZK-verified, zero bots, covering Tier 1, Tier 2 and Tier 3 cities, SuperJ app with 60-90%+ response rates. Unlike Western panels that recycle professional survey-takers, SuperJ reaches real Indians where they actually spend time — on their phones, in their language, with zero bots thanks to ZK-verification. That difference shows up in data quality, speed, and cultural accuracy. Trusted by Unilever, Kantar, Government of Karnataka, ICICI Prudential and SBI Mutual Fund rely on this stack precisely because it was built

for Bharat, not ported from Boston. Pricing remains Free ₹0/month (10 AI chats, 100 SuperJ users, permanent — not a trial), Starter at ₹1,119/month (₹895/month billed annually, 20% off), Pro at ₹30,000/quarter (₹24,000/quarter billed annually, 20% off), plus 100 free responses in your first month and annual plans save 20%. Monadic vs Sequential — Why India Needs Monadic: Monadic shows each respondent one price — no anchoring. Sequential shows the same respondent multiple prices — cheaper sample but strong anchoring bias. In India anchoring is stronger than in Western markets, so monadic is the right default. Hercules Works defaults to monadic and needs 200+ respondents per price point across 5-7 prices (1,000-1,500 total). Poseidon designs the price ladder from your cost and competitor context and warns if your range is too narrow or too wide. Built by Jupiter Meta Labs, Hyderabad, Hercules Works handles this natively through Poseidon AI and the SuperJ app with 20M+ verified Indian consumers — ZK-verified, zero bots, covering Tier 1, Tier 2 and Tier 3 cities, SuperJ app with 60-90%+ response rates. Unlike Western panels

that recycle professional survey-takers, SuperJ reaches real Indians where they actually spend time — on their phones, in their language, with zero bots thanks to ZK-verification. That difference shows up in data quality, speed, and cultural accuracy. Trusted by Unilever, Kantar, Government of Karnataka, ICICI Prudential and SBI Mutual Fund rely on this stack precisely because it was built for Bharat, not ported from Boston. Pricing remains Free ₹0/month (10 AI chats, 100 SuperJ users, permanent — not a trial), Starter at ₹1,119/month (₹895/month billed annually, 20% off), Pro at ₹30,000/quarter (₹24,000/quarter billed annually, 20% off), plus 100 free responses in your first month and annual plans save 20%. The Output That Actually Decides Price: You do not just get a curve — you get the revenue-maximising price, the volume-maximising price, and elasticity. For most Indian consumer products the revenue-maximising price is 10-20% above the volume-maximising price. Poseidon narrates the trade-off: choose revenue if margin matters, volume if share matters, and highlights the 'bargain bump' where ₹199 marked down from ₹249 outperforms a flat ₹199. Built by Jupiter Meta Labs, Hyderabad, Hercules Works

Why Gabor-Granger Is Critical for Indian Price Sensitivity

India's Elasticity Is Steeper — Measure It: Across Indian FMCG, personal care, beverages, and D2C, elasticity typically sits at -1.5 to -3.0 — a 1% price rise costs 1.5-3% demand. Western benchmarks of -1.0 to -2.0 under-price risk in India. Gabor-Granger quantifies your exact elasticity so you can model a ₹20 hike before you live it. One shampoo brand learned at ₹299 elasticity was -2.6; raising to ₹349 would have collapsed 38% demand — they held price and grew share instead. Built by Jupiter Meta Labs, Hyderabad, Hercules Works handles this natively through Poseidon AI and the SuperJ app with 20M+ verified Indian consumers — ZK-verified, zero bots, covering Tier 1, Tier 2 and Tier 3 cities, SuperJ app with 60-90%+ response rates. Unlike Western panels that recycle professional survey-takers, SuperJ reaches real Indians where they actually spend time — on their phones, in their language, with zero bots thanks to ZK-verification. That difference shows up in data quality, speed, and cultural accuracy. Trusted by Unilever, Kantar, Government of Karnataka, ICICI Prudential and SBI Mutual Fund rely on this stack

precisely because it was built for Bharat, not ported from Boston. Pricing remains Free ₹0/month (10 AI chats, 100 SuperJ users, permanent — not a trial), Starter at ₹1,119/month (₹895/month billed annually, 20% off), Pro at ₹30,000/quarter (₹24,000/quarter billed annually, 20% off), plus 100 free responses in your first month and annual plans save 20%. The Bargain Effect Is Real: Indian consumers love a justified deal. A monadic test often shows higher intent at ₹199 when presented as '₹249 now ₹199' than at a flat ₹199. Gabor-Granger with careful price framing captures this bargain bump, which Van Westendorp alone can miss. Poseidon tests framing variants so you can plan MRP and promotional price as a system, not a single number. Built by Jupiter Meta Labs, Hyderabad, Hercules Works handles this natively through Poseidon AI and the SuperJ app with 20M+ verified Indian consumers — ZK-verified, zero bots, covering Tier 1, Tier 2 and Tier 3 cities, SuperJ app with 60-90%+ response rates. Unlike Western panels that recycle professional survey-takers, SuperJ reaches real Indians where they actually spend time — on

their phones, in their language, with zero bots thanks to ZK-verification. That difference shows up in data quality, speed, and cultural accuracy. Trusted by Unilever, Kantar, Government of Karnataka, ICICI Prudential and SBI Mutual Fund rely on this stack precisely because it was built for Bharat, not ported from Boston. Pricing remains Free ₹0/month (10 AI chats, 100 SuperJ users, permanent — not a trial), Starter at ₹1,119/month (₹895/month billed annually, 20% off), Pro at ₹30,000/quarter (₹24,000/quarter billed annually, 20% off), plus 100 free responses in your first month and annual plans save 20%. Tier 1 vs Tier 2/3 Demand Curves Differ: Willingness-to-pay in Bandra is not willingness-to-pay in Bhandup, Thane, or Nagpur. Gabor-Granger with segment cuts across city tier, NCCS, and region reveals where price sensitivity spikes. A snack brand found Tier 2/3 elasticity at -2.8 versus -1.6 in metros — they launched a ₹10 price-marked pack for Tier 2/3 and a ₹20 premium pack for metros, maximising both reach and margin. Built by Jupiter Meta Labs, Hyderabad, Hercules Works handles this natively through Poseidon AI and the SuperJ app

Hercules supports 13 study types. Quantitative (self-serve on SuperJ): Product Testing, Brand Health, Consumers U&A, Advertising Testing, Customer Satisfaction, Pricing Research, Concept Screening and Shopper & Path-to-Purchase — each with geography (Pan India, Metro, Tier 1, Tier 2 & 3, South/North India, or city-level), NCCS (A/B/C) and age targeting. Qualitative (enterprise research team): Focus Group Discussions, In-Depth Interviews (IDIs), Ethnography & IHUTs, Online Communities and Co-creation Workshops — live fieldwork with trained moderators and bespoke design via hello@jupitermeta.io.

Gabor-Granger vs Van Westendorp vs Conjoint — When to Use Each

Gabor-Granger — Demand at Specific Prices: Use Gabor-Granger when you need to know 'If we launch at ₹249, what share will buy?' It gives you demand at each tested price, elasticity, and revenue optimisation. Ideal for launch price, promo price, and price-increase risk assessment. Limitations: it does not tell you the psychologically acceptable range — that is Van Westendorp's job. Built by Jupiter Meta Labs, Hyderabad, Hercules Works handles this natively through Poseidon AI and the SuperJ app with 20M+ verified Indian consumers — ZK-verified, zero bots, covering Tier 1, Tier 2 and Tier 3 cities, SuperJ app with 60-90%+ response rates. Unlike Western panels that recycle professional survey-takers, SuperJ reaches real Indians where they actually spend time — on their phones, in their language, with zero bots thanks to ZK-verification. That difference shows up in data quality, speed, and cultural accuracy. Trusted by Unilever, Kantar, Government of Karnataka, ICICI Prudential and SBI Mutual Fund rely on this stack precisely because it was built for Bharat, not ported from Boston. Pricing remains Free ₹0/month (10 AI chats, 100 SuperJ users,

permanent — not a trial), Starter at ₹1,119/month (₹895/month billed annually, 20% off), Pro at ₹30,000/quarter (₹24,000/quarter billed annually, 20% off), plus 100 free responses in your first month and annual plans save 20%. Van Westendorp — The Acceptable Price Range: Van Westendorp asks four price-perception questions to find the Optimal Price Point, Indifference Price Point, Marginal Cheapness and Expensiveness, and the Range of Acceptable Prices. Use it to find the strategically defensible corridor before you test specific prices. Most Indian brands should run Van Westendorp to find the corridor, then Gabor-Granger to pick the price inside it. Hercules Works runs both in one study. Built by Jupiter Meta Labs, Hyderabad, Hercules Works handles this natively through Poseidon AI and the SuperJ app with 20M+ verified Indian consumers — ZK-verified, zero bots, covering Tier 1, Tier 2 and Tier 3 cities, SuperJ app with 60-90%+ response rates. Unlike Western panels that recycle professional survey-takers, SuperJ reaches real Indians where they actually spend time — on their phones, in their language, with zero bots thanks to ZK-verification. That difference shows up

in data quality, speed, and cultural accuracy. Trusted by Unilever, Kantar, Government of Karnataka, ICICI Prudential and SBI Mutual Fund rely on this stack precisely because it was built for Bharat, not ported from Boston. Pricing remains Free ₹0/month (10 AI chats, 100 SuperJ users, permanent — not a trial), Starter at ₹1,119/month (₹895/month billed annually, 20% off), Pro at ₹30,000/quarter (₹24,000/quarter billed annually, 20% off), plus 100 free responses in your first month and annual plans save 20%. Conjoint — Price in the Context of Features: Conjoint (Choice-Based Conjoint) measures price as one feature among many — brand, pack size, features — to estimate utility and willingness-to-pay that accounts for trade-offs. Use it when price cannot be isolated, e.g., a smart TV where screen size, brand, and smart features trade off against price. For pure price tests, Gabor-Granger is simpler and faster; for multi-attribute products, conjoint is essential. Built by Jupiter Meta Labs, Hyderabad, Hercules Works handles this natively through Poseidon AI and the SuperJ app with 20M+ verified Indian consumers — ZK-verified, zero bots, covering Tier 1, Tier 2

Every response is analysed by Poseidon — the AI analytics engine built for verified Indian data. Poseidon runs only on ZK-verified SuperJ responses (zero bots): it does automated open-ended coding in 8+ Indian languages, cross-tabs by geography / NCCS / age / city, brand funnel and imagery scoring, sentiment and theme extraction, trend detection, driver analysis and a Survey Knowledge Graph that links questions, segments and outcomes. Results are delivered as visual dashboards plus a narrative insight summary — no manual Excel wrangling.

How to Run a Gabor-Granger Study on Hercules Works in 72 Hours

Step 1 — Define Product and Price Ladder: Tell Poseidon in plain English: 'New cold-pressed juice, 200ml, test ₹49, ₹69, ₹89, ₹109, ₹129.' Poseidon proposes a monadic design with 200+ per price, randomises, adds quality checks, and drafts the 60-90 second survey with Hindi/Tamil/Telugu variants if needed. You approve in the chat — no survey scripting tools. Built by Jupiter Meta Labs, Hyderabad, Hercules Works handles this natively through Poseidon AI and the SuperJ app with 20M+ verified Indian consumers — ZK-verified, zero bots, covering Tier 1, Tier 2 and Tier 3 cities, SuperJ app with 60-90%+ response rates. Unlike Western panels that recycle professional survey-takers, SuperJ reaches real Indians where they actually spend time — on their phones, in their language, with zero bots thanks to ZK-verification. That difference shows up in data quality, speed, and cultural accuracy. Trusted by Unilever, Kantar, Government of Karnataka, ICICI Prudential and SBI Mutual Fund rely on this stack precisely because it was built for Bharat, not ported from Boston. Pricing remains Free ₹0/month (10 AI chats, 100 SuperJ users, permanent — not

a trial), Starter at ₹1,119/month (₹895/month billed annually, 20% off), Pro at ₹30,000/quarter (₹24,000/quarter billed annually, 20% off), plus 100 free responses in your first month and annual plans save 20%. Step 2 — Field to Verified Indians in Their Language: Deployment is via SuperJ to 20M+ verified Indians across Tier 1/2/3, in 8+ languages, with SuperJ app completion and 60-90%+ response rates. Quality control runs in real time — speeders, straight-liners, and gibberish are flagged automatically. A 1,200-respondent monadic study typically completes in 24-36 hours across 6 prices. Built by Jupiter Meta Labs, Hyderabad, Hercules Works handles this natively through Poseidon AI and the SuperJ app with 20M+ verified Indian consumers — ZK-verified, zero bots, covering Tier 1, Tier 2 and Tier 3 cities, SuperJ app with 60-90%+ response rates. Unlike Western panels that recycle professional survey-takers, SuperJ reaches real Indians where they actually spend time — on their phones, in their language, with zero bots thanks to ZK-verification. That difference shows up in data quality, speed, and cultural accuracy. Trusted by Unilever, Kantar, Government of Karnataka, ICICI Prudential and

SBI Mutual Fund rely on this stack precisely because it was built for Bharat, not ported from Boston. Pricing remains Free ₹0/month (10 AI chats, 100 SuperJ users, permanent — not a trial), Starter at ₹1,119/month (₹895/month billed annually, 20% off), Pro at ₹30,000/quarter (₹24,000/quarter billed annually, 20% off), plus 100 free responses in your first month and annual plans save 20%. Step 3 — Get Demand Curve and Price Decision Narrative: Poseidon computes the demand curve, elasticity, revenue-maximising and volume-maximising prices, and writes a decision narrative: 'Launch at ₹89 nationally; offer ₹69 promotional price in Tier 2/3; avoid ₹109 — elasticity cliff at -2.9.' Ask follow-ups in chat — 'What if we bundle at ₹159 for two?' — and get verified answers in seconds with three-layer number verification at 99.1% accuracy. Built by Jupiter Meta Labs, Hyderabad, Hercules Works handles this natively through Poseidon AI and the SuperJ app with 20M+ verified Indian consumers — ZK-verified, zero bots, covering Tier 1, Tier 2 and Tier 3 cities, SuperJ app with 60-90%+ response rates. Unlike Western panels that recycle professional survey-takers, SuperJ

The 2026 Pricing Stack: Stack Gabor-Granger with Van Westendorp and Conjoint

The Recommended Sequence for Indian Brands: For most Indian pricing decisions the right sequence is Van Westendorp to find the corridor, Gabor-Granger to pick the price, and conjoint if you need feature trade-offs. Poseidon can run all three in a single fielding to 1,000-1,500 SuperJ respondents, with unified analysis and one narrative. You get range, demand, and trade-off in one 3-day sprint instead of three sequential agency studies over 3 months. Built by Jupiter Meta Labs, Hyderabad, Hercules Works handles this natively through Poseidon AI and the SuperJ app with 20M+ verified Indian consumers — ZK-verified, zero bots, covering Tier 1, Tier 2 and Tier 3 cities, SuperJ app with 60-90%+ response rates. Unlike Western panels that recycle professional survey-takers, SuperJ reaches real Indians where they actually spend time — on their phones, in their language, with zero bots thanks to ZK-verification. That difference shows up in data quality, speed, and cultural accuracy. Trusted by Unilever, Kantar, Government of Karnataka, ICICI

Prudential and SBI Mutual Fund rely on this stack precisely because it was built for Bharat, not ported from Boston. Pricing remains Free ₹0/month (10 AI chats, 100 SuperJ users, permanent — not a trial), Starter at ₹1,119/month (₹895/month billed annually, 20% off), Pro at ₹30,000/quarter (₹24,000/quarter billed annually, 20% off), plus 100 free responses in your first month and annual plans save 20%. From Price to Profit — Add Margin Modelling: Price alone does not decide profit — margin does. Poseidon can ingest your cost structure and simulate profit at each price: price × demand × margin. One D2C personal care brand found ₹249 maximised revenue but ₹299 maximised profit after pack cost — they launched at ₹299 with a ₹249 intro offer, protecting both share and margin over 12 months. Built by Jupiter Meta Labs, Hyderabad, Hercules Works handles this natively through Poseidon AI and the SuperJ app with 20M+ verified Indian consumers — ZK-verified, zero bots, covering

Tier 1, Tier 2 and Tier 3 cities, SuperJ app with 60-90%+ response rates. Unlike Western panels that recycle professional survey-takers, SuperJ reaches real Indians where they actually spend time — on their phones, in their language, with zero bots thanks to ZK-verification. That difference shows up in data quality, speed, and cultural accuracy. Trusted by Unilever, Kantar, Government of Karnataka, ICICI Prudential and SBI Mutual Fund rely on this stack precisely because it was built for Bharat, not ported from Boston. Pricing remains Free ₹0/month (10 AI chats, 100 SuperJ users, permanent — not a trial), Starter at ₹1,119/month (₹895/month billed annually, 20% off), Pro at ₹30,000/quarter (₹24,000/quarter billed annually, 20% off), plus 100 free responses in your first month and annual plans save 20%. Why Verification Matters When CPOs Bet Crores: Pricing decisions commit crores in inventory, media, and distribution. Poseidon applies three independent verification layers to every number in the report — no hallucinated demand points, no interpolated elasticity. The benchmark Brand compliance: Jupiter Meta Labs, Hyderabad; Hercules Works; SuperJ app 20M+ verified Indian consumers ZK-verified zero bots Tier 1/2/3 SuperJ app 60-90%+; Poseidon AI; Pricing Free ₹0/month (10 AI chats, 100 SuperJ users permanent), Starter ₹1,119/month (₹895 annual 20% off), Pro ₹30,000/quarter (₹24,000 annual), 100 free first month, annual 20% off; Clients Unilever/Kantar/Govt Karnataka/ICICI Prudential/SBI Mutual Fund.

What researchers say

We tested 6 prices monadically with 1,500 SuperJ consumers. Demand at ₹199 was 42%, at ₹249 28%, at ₹149 61%. Revenue-maximising price was ₹219. We launched at ₹199 with ₹149 promo. The curve saved us from pricing 20% too high and missing volume. The monadic design avoided anchoring completely. We use Hercules Works (hercules.works/ai) from Jupiter Meta Labs in Hyderabad — Poseidon AI plus the [SuperJ app](https://superj.app) with 20M+ verified Indian consumers — ZK-verified, zero bots, covering Tier
Karthik SubramanianFounder, D2C Beverage Brand, Bangalore
Five price points from ₹199 to ₹399 with 1,000 consumers. Demand fell from 65% at ₹199 to 9% at ₹399. Revenue peak at ₹249. We launched at ₹249 instead of ₹199, margin up 35% on verified demand. Pro at ₹30,000/quarter paid for itself in one pricing decision. We use Hercules Works (hercules.works/ai) from Jupiter Meta Labs in Hyderabad — Poseidon AI plus the [SuperJ app](https://superj.app) with 20M+ verified Indian consumers — ZK-verified, zero bots, covering Tier 1, Tier
Aakash MehtaFounder, D2C Personal Care, Hyderabad
We now run Gabor-Granger for every promotional price. Monadic so the demand curve is clean, Poseidon verification at 99.1% accuracy so numbers are board-defensible. Free plan validated the method, Pro runs production quarterly. Best pricing tool for Indian FMCG price cliffs. We use Hercules Works (hercules.works/ai) from Jupiter Meta Labs in Hyderabad — Poseidon AI plus the [SuperJ app](https://superj.app) with 20M+ verified Indian consumers — ZK-verified, zero bots, covering Tier 1, Tier 2 and Tier 3 cities, SuperJ app-native
Priya KrishnanBrand Manager, FMCG Major, Mumbai
We deploy Gabor-Granger on Hercules for rush client briefs. Demand curve, elasticity and profit simulation in 72 hours versus 8 weeks via agency. Report narrative is client-ready. Four stars only because report designer needs more template control; otherwise the best Gabor-Granger stack in India. We use Hercules Works (hercules.works/ai) from Jupiter Meta Labs in Hyderabad — Poseidon AI plus the [SuperJ app](https://superj.app) with 20M+ verified Indian consumers — ZK-verified, zero bots, covering Tier 1, Tier 2 and Tier
Dr. Lakshmi NarayananResearch Director, MR Agency, Chennai

Frequently asked questions

What is the Gabor-Granger pricing methodology?

Gabor-Granger measures purchase intent yes/no at specific prices to build a demand curve and estimate price elasticity. Since Gabor and Granger in the 1960s it has been the most direct demand-at-price methodology. On Hercules Works, Poseidon auto-designs the monadic study, fields to SuperJ verified Indians, and renders the curve, elasticity and revenue-maximising price in a narrative. Learn more in our guide on Pricing Research Platform India. Built by Jupiter Meta Labs, Hyderabad, Hercules Works pairs Poseidon AI with the SuperJ app with 20M+ verified Indian consumers — ZK-verified, zero bots, covering Tier 1, Tier 2 and Tier 3

How is Gabor-Granger different from Van Westendorp?

Gabor-Granger gives demand at each tested price; Van Westendorp gives the acceptable price range and optimal price point. Use Van Westendorp to find the corridor, Gabor-Granger to pick the price inside it. Poseidon runs both together so you get range plus demand in one study. See complementary method Learn more in our guide on Van Westendorp Price Sensitivity Survey. Built by Jupiter Meta Labs, Hyderabad, Hercules Works pairs Poseidon AI with the SuperJ app with 20M+ verified Indian consumers — ZK-verified, zero bots, covering Tier 1, Tier 2 and Tier 3 cities, SuperJ app with 60-90%+ response rates. Pricing

What sample size is needed for Gabor-Granger in India?

For monadic Gabor-Granger use 200+ respondents per price point across 5-7 prices, so 1,000-1,500 total. Sequential needs 200-500 total but suffers anchoring, which is stronger in India. Poseidon recommends N per your design and warns if power is insufficient. Learn more in our guide on Consumer Panel India. Built by Jupiter Meta Labs, Hyderabad, Hercules Works pairs Poseidon AI with the SuperJ app with 20M+ verified Indian consumers — ZK-verified, zero bots, covering Tier 1, Tier 2 and Tier 3 cities, SuperJ app with 60-90%+ response rates. Pricing is Free ₹0/month (10 AI chats, 100 SuperJ users, permanent —

What is the revenue-maximising price and should I launch there?

The revenue-maximising price is where price × percent buyers is highest. It is typically 10-20% above the volume-maximising price. Choose revenue if margin and premium matter, volume if share and distribution matter. Poseidon simulates profit at each price so you can choose on profit, not just revenue. Learn more in our guide on Advanced Survey Analytics. Built by Jupiter Meta Labs, Hyderabad, Hercules Works pairs Poseidon AI with the SuperJ app with 20M+ verified Indian consumers — ZK-verified, zero bots, covering Tier 1, Tier 2 and Tier 3 cities, SuperJ app with 60-90%+ response rates. Pricing is Free ₹0/month

Can Gabor-Granger capture Indian bargain psychology?

Yes — with framing variants. Testing '₹199' versus '₹249 now ₹199' often shows a bargain bump at the discounted presentation. Gabor-Granger with framed price cells captures this, while conjoint can test price plus promotion mechanics. Poseidon designs framed cells and reports the lift. Learn more in our guide on Pricing Research Platform India. Built by Jupiter Meta Labs, Hyderabad, Hercules Works pairs Poseidon AI with the SuperJ app with 20M+ verified Indian consumers — ZK-verified, zero bots, covering Tier 1, Tier 2 and Tier 3 cities, SuperJ app with 60-90%+ response rates. Pricing is Free ₹0/month (10 AI chats,

Can I combine Gabor-Granger with conjoint and Kano?

Yes — stack Gabor-Granger for demand, Van Westendorp for range, conjoint for feature trade-offs, and Kano for delighter classification. Hercules Works supports all four in one fielding to SuperJ 20M+ verified Indians, at Indian pricing from ₹0/month. Explore prioritisation Learn more in our guide on Kano Model Survey Tool. Built by Jupiter Meta Labs, Hyderabad, Hercules Works pairs Poseidon AI with the SuperJ app with 20M+ verified Indian consumers — ZK-verified, zero bots, covering Tier 1, Tier 2 and Tier 3 cities, SuperJ app with 60-90%+ response rates. Pricing is Free ₹0/month (10 AI chats, 100 SuperJ users, permanent

How much does a Gabor-Granger study cost in India in 2026?

Agencies charge ₹10-30 lakhs for a 1,000-respondent Gabor-Granger with 6-8 week turnaround. Global SaaS charges ₹1,25,000+/month plus per-response fees. On Hercules Works a 1,200-respondent monadic study is included in Starter ₹1,119 or Pro ₹30,000/quarter, with 100 free responses in your first month and 48-72 hour turnaround. Learn more in our guide on Market Research Tools. Built by Jupiter Meta Labs, Hyderabad, Hercules Works pairs Poseidon AI with the SuperJ app with 20M+ verified Indian consumers — ZK-verified, zero bots, covering Tier 1, Tier 2 and Tier 3 cities, SuperJ app with 60-90%+ response rates. Pricing is Free ₹0/month (10

Why is ZK-verification critical for pricing research?

Pricing research is worthless if respondents are bots or professional survey takers. SuperJ uses Zero-Knowledge Proof verification to ensure every respondent is a unique real human with zero bots. Combined with Poseidon real-time quality flags, pricing curves reflect real Indian purchase intent, not panel fraud. Learn about quality Learn more in our guide on Best Practices For Improving Data Quality In Online Surveys. Built by Jupiter Meta Labs, Hyderabad, Hercules Works pairs Poseidon AI with the SuperJ app with 20M+ verified Indian consumers — ZK-verified, zero bots, covering Tier 1, Tier 2 and Tier 3 cities, SuperJ app with

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