Pricing Strategy

Set the right price to maximise revenue and retention

Why Pricing is the Highest-Leverage Growth Lever Most Startups Underinvest In

A 1% improvement in pricing yields a 7–11% improvement in operating profit — a greater impact than a 1% improvement in volume, variable costs, or fixed costs (McKinsey Pricing Research, adapted for India context). Yet pricing is the strategy most Indian founders set once, never revisit, and never rigorously test. The typical Indian startup founder spends 20+ hours per week on product and sales, and fewer than 2 hours per quarter on pricing strategy.

This imbalance is particularly costly in India's high-growth market environment, where both customer willingness-to-pay and competitive pricing benchmarks shift rapidly. Indian SaaS companies that run structured pricing experiments consistently outperform peers on gross margin, NRR, and time-to-profitability.

  • Indian SaaS startups that conduct formal willingness-to-pay research before setting pricing achieve 23% higher average ACV compared to those that price by gut feel or competitive matching (SaaSBoomi India Benchmarks 2024)
  • Moving from per-seat to usage-based pricing increased NRR by an average of 18 percentage points for Indian B2B SaaS companies that made the switch at Series A (Corpfy Data, 2024)
  • 64% of Indian startup founders report they have never run a formal pricing experiment — they set their initial price and kept it (Inc42 Founder Survey 2024)
  • The price elasticity of demand for B2B SaaS in India's SMB segment is approximately -0.3 to -0.5 — meaning a 10% price increase reduces demand by only 3–5%, making most Indian startups significantly under-priced relative to the value they deliver

This guide covers every dimension of pricing strategy for Indian startups — pricing models, value-based pricing, pricing psychology, India-specific considerations, the Van Westendorp method, packaging, price increase communication, and competitive pricing research.

Pricing Models — Definitions, India Examples, and Best Fit

Model Definition India Examples Best Fit Pros / Cons
Per-Seat
Predictable
Fixed price per user per month or year. Revenue scales linearly with headcount expansion. Easy to forecast and invoice. Corpfy Customer Success (per agent), Corpfy CRM Pipeline (per user), Slack India (per active user), Corpfy Banking & Treasury's dashboard users B2B SaaS where value scales with team size — CRM, helpdesk, project management, HR tools. Works best when every user gets direct value from the product. + Predictable revenue; easy to sell and invoice.
- Customers minimise seat count; penalises adoption; does not capture value from power users
Usage-Based
Elastic
Price scales with consumption — API calls, transactions processed, data stored, messages sent. Customer pays for what they use. Corpfy Marketing Stack India (per SMS/call), AWS (per compute hour), Corpfy Banking & Treasury (% of transaction value), MessageBird India, Exotel (per call minute) Infrastructure, API, and payment products where usage varies significantly by customer. Strong for PLG (product-led growth) motions — easy to start, scales with success. + Aligns vendor/customer incentives; grows with customer success; lower barrier to trial.
- Revenue unpredictable; complex to forecast; customers reduce usage during downturns
Freemium
Volume
Core product free forever with limits (features, users, storage, usage). Premium tiers unlock advanced capabilities. Revenue from conversion of free users to paid. Corpfy (free tier for basic CRM), Corpfy Knowledge Hub India (free personal), Canva India (free + Pro), Corpfy Customer Success (Sprout free plan) Products with strong network effects or viral loops where user volume creates value. Works when the cost of serving free users is low and conversion rate justifies CAC. + Massive top of funnel; network effects; word of mouth.
- High infrastructure cost for free users; conversion rates of 2–5% mean 95% of users never pay; value of free tier erodes brand premium
Flat-Rate
Simple
Single price for full access to all features, regardless of users or usage. Maximum simplicity — one product, one price. Basecamp India (flat $99/month unlimited users), early Corpfy Customer Success plans, some Indian niche SaaS tools targeting SMBs with simple pricing Products with a defined and narrow use case where one price is genuinely equitable for all customer sizes. Very rare — works only when customer value delivered is genuinely uniform. + Extreme simplicity; easy to sell; no negotiation.
- Leaves significant revenue on the table from large enterprise customers; no upgrade path; leaves no room for packaging and bundling
Tiered
Structured
Multiple packages (Starter / Growth / Enterprise) with increasing features and price. The most common SaaS pricing structure globally. Corpfy Customer Success (Free / Growth / Pro / Enterprise), Zoho One, Corpfy Subscription Management tiers, Corpfy Marketing Analytics India pricing tiers SaaS products serving multiple customer segments from SMB to enterprise — different tiers serve different willingness-to-pay and feature need levels. Enables land-and-expand motion. + Captures value across segments; drives upgrade motion; easy to A/B test tier boundaries.
- Complex to maintain; tier cannibalisation risk; enterprise tier often under-priced if not value-anchored
Value-Based
Premium
Price anchored to the value delivered to the customer, not to your costs or competitor prices. Requires rigorous value quantification — typically 10–30% of provable value delivered. High-end India enterprise SaaS (supply chain optimisation, revenue management, advanced analytics platforms) where ROI can be demonstrated in ₹ terms B2B products where the value delivered can be quantified clearly in customer revenue or cost savings terms. Requires strong sales capability and customer willingness to share financial data. + Highest prices achievable; deeply aligns vendor and customer incentives; no race to the bottom.
- Complex to implement; requires strong consultative sales; hard to defend if value realisation is delayed

Value-Based Pricing — How to Quantify Customer Value

The Value Quantification Process

Value-based pricing begins with a rigorous answer to: "What is the measurable economic value our product creates for a specific customer?" The process:

  1. Identify the value drivers: What does your product change for the customer? Revenue increase, cost reduction, time saved, risk avoided, compliance achieved? Be specific — "saves time" is not a value driver; "reduces invoice processing time from 4 hours to 20 minutes per week for an accounts payable team of 3" is.
  2. Quantify each driver in ₹: Time saved × cost of time (employee salary + overhead), revenue enabled × margin rate, risk avoided × probability × cost of incident. Build a simple ROI model in a spreadsheet that a customer can fill in with their own numbers.
  3. Price at 10–30% of provable value: The customer keeps 70–90% of the value, ensuring your product is a no-brainer investment for them. At 10% of value, you are highly defensible; at 30%, you are capturing premium for high-differentiation products.
  4. Anchor with a reference case: "Our average Indian manufacturing customer saves ₹18L per year in accounts payable labor costs using our platform. At ₹3.6L per year (20% of provable value), the payback period is under 90 days."

Value-Based Pricing Example — India B2B SaaS

  • Product: Automated GST reconciliation SaaS for Indian chartered accountants
  • Value Driver 1: Reduces monthly GST reconciliation from 20 hours to 2 hours per client → 18 hours saved × ₹1,500/hour CA rate = ₹27,000/month saved per client
  • Value Driver 2: Eliminates 95% of ITC reconciliation errors → average Indian CA handles 15 clients with ₹2L annual ITC claim each → error elimination value = ₹50,000/year
  • Total provable annual value per CA firm: ~₹3.74L (₹27,000 × 12 + ₹50,000)
  • Value-based price at 20%: ₹74,800/year (≈₹6,250/month) — dramatically higher than a cost-plus price of ₹1,500/month

Pricing Psychology — Anchoring, Decoys, Charm Pricing, Loss Aversion

Price Anchoring

The first price a buyer sees becomes the anchor against which all subsequent prices are evaluated. In SaaS pricing, the most expensive tier should always be displayed first (left to right or top to bottom) — this makes the middle tier look like a reasonable discount. In India's enterprise sales context, lead your proposal with your highest package — the negotiation will then move down from there, not up from your lowest price.

Decoy Pricing (Asymmetric Dominance)

Introduce a third option that makes one of the other two look dramatically better by comparison. The classic example: a ₹999/month basic plan, a ₹2,499/month professional plan, and a ₹2,299/month "advanced" plan that has most professional features but lacks one key capability. The ₹2,299 "advanced" plan is the decoy — it makes the ₹2,499 professional plan look like exceptional value. India's price-sensitive SMB buyers respond strongly to decoy pricing because they are actively seeking the "best deal."

Charm Pricing

Prices ending in 9 (₹999, ₹4,999, ₹29,999) are perceived as significantly lower than round numbers (₹1,000, ₹5,000, ₹30,000) even when the difference is trivial. This effect is well-documented in India's e-commerce market (every major Indian e-commerce platform uses it) and applies to SaaS pricing pages as well. For enterprise SaaS, where price is less emotionally driven, round numbers (₹5,00,000 per year) communicate professionalism and are more common than charm pricing.

Loss Aversion

Customers are twice as motivated by avoiding a loss as by achieving an equivalent gain. In pricing communication, frame your product in terms of what the customer loses by NOT using it: "Every month you spend on manual GST reconciliation costs you ₹27,000 in CA time and exposes you to ₹2L+ in potential ITC penalties." This reframes the purchase from a ₹6,000/month expense to a decision between ₹6,000 spent vs ₹29,000 lost. Loss aversion is particularly effective in India's risk-conscious SMB market where founders have personally experienced financial consequences of compliance failures.

India SaaS Pricing Considerations

INR vs USD Pricing

One of the most consequential early pricing decisions for Indian SaaS startups is whether to price in INR or USD. The framework:

  • Price in INR if: Your primary customers are Indian businesses (SMBs, enterprises, professionals), your sales team is India-based, and you have no near-term international expansion plans. INR pricing removes currency risk and friction for Indian buyers.
  • Price in USD if: You are positioning as a global SaaS (India-built for the world), your competitors price in USD, or you are targeting Indian enterprises with global procurement processes (large IT companies, MNCs operating in India). USD pricing often carries a quality signal in India — buyers associate USD-priced software with global-grade products.
  • Dual pricing strategy: Some Indian SaaS companies (Corpfy Customer Success, Corpfy Subscription Management) price in USD for international customers and offer an INR "India plan" at 40–60% of the USD price — acknowledging India's lower willingness-to-pay without publicly discounting the core offering. This requires careful channel and regional segmentation.

Tier 2/3 Market Price Sensitivity

India's Tier 2 and Tier 3 city markets (Surat, Ludhiana, Coimbatore, Nashik, Rajkot, Indore) are growing faster than metros in digital adoption, but have meaningfully lower willingness-to-pay for software. The typical price sensitivity delta: Tier 2/3 SMBs are willing to pay 35–50% of what metro SMBs pay for equivalent software. Strategies to address this without destroying metro pricing:

  • Reseller/partner-based pricing for Tier 2/3 — local partners absorb the discount and handle collection in regional currency
  • Simplified plans (fewer features) at lower absolute price points for Tier 2/3 — a "India SMB" or "Starter India" plan specifically for smaller, simpler use cases
  • Annual prepay with steep discounts — Tier 2/3 SMBs often prefer paying once annually vs monthly subscriptions (improves cash management predictability on their side)

SMB vs Enterprise Delta

Indian enterprise buyers (500+ employee companies, listed companies, MNC subsidiaries) have dramatically higher willingness-to-pay than SMBs — typically 5–15x more per seat or per module — but also require enterprise features: SSO, audit logs, custom SLAs, dedicated support, and procurement compliance. The common mistake: pricing enterprise on the same page as SMB, signalling that both segments get the same product. Create a distinct "Enterprise" tier with custom pricing (not publicly listed), requiring a direct sales conversation, to extract full value from enterprise buyers.

Van Westendorp Price Sensitivity Meter

What It Is

The Van Westendorp Price Sensitivity Meter (PSM) is a survey-based method to identify an acceptable price range for your product from the customer's perspective. It uses four questions about the same product:

  1. "At what price would this product be so cheap that you would question its quality?" (Too cheap)
  2. "At what price would this product start to feel like a bargain — good value for money?" (Cheap / Acceptable Low)
  3. "At what price would this product start to feel expensive, but you might still consider it?" (Expensive / Acceptable High)
  4. "At what price would this product be so expensive that you would not consider buying it?" (Too expensive)

How to Run It

  • Survey at minimum 30–50 respondents who are genuine potential customers (not friends or advisors)
  • For India B2B: target the economic buyer — the person who signs the cheque — not the end user who is often price-indifferent
  • Use Corpfy Customer Discovery or Google Forms — 4 questions, 5 minutes to complete. Distribute via LinkedIn, WhatsApp communities, or via your existing contact list of prospects
  • India-specific tip: state the price as annual (₹X per year) not monthly (₹Y per month) — annual framing anchors higher and is more natural for Indian enterprise procurement cycles

How to Interpret Results

Plot cumulative frequency curves for all four questions. The intersection of "Too Cheap" and "Too Expensive" curves gives you the Acceptable Price Range — the band within which the majority of your market will consider your price reasonable. The intersection of "Cheap" and "Expensive" curves gives the Optimal Price Point — the price at which you balance accessibility and value perception. Price below the optimal point means leaving money on the table; above the acceptable range means significantly reduced conversion.

Packaging and Bundling Strategy

Good / Better / Best Tier Architecture

The three-tier model (Starter / Growth / Enterprise or equivalent) is the most proven SaaS packaging structure. Design principles for India:

  • Starter tier: Designed to remove adoption friction — enough features to get real value, but with clear limits that motivate upgrade. In India's SMB market, starter pricing of ₹999–₹2,999/month removes the psychological "is this worth the risk?" barrier. Never put your core differentiating features in the starter tier — they belong in the "better" tier to drive upgrade.
  • Growth/Professional tier: Your highest-volume revenue tier — designed for the majority of your target customers. This tier should be 2.5–4x the price of starter and include your core differentiating features plus the most-requested advanced capabilities. Most customers should land here.
  • Enterprise tier: Custom pricing, requires a conversation. Designed for 200+ employee companies with needs for SSO, advanced security, custom SLAs, dedicated account management, and procurement compliance. In India, enterprise pricing is often 10–20x the growth tier — the premium reflects both features and the white-glove sales and support model.

Add-Ons and Bundling

Add-ons are feature modules priced separately from the core tiers — they allow you to capture incremental value from customers who need specific capabilities without pricing the core tiers higher. Effective Indian SaaS add-on examples: additional data storage, advanced analytics, priority support, custom integrations, additional language support (Hindi, Tamil, Telugu), extra automations beyond a monthly limit.

Bundling — packaging multiple products or add-ons together at a discount — drives higher ACV and reduces churn by increasing switching costs. Zoho One is India's most successful bundling example: 45+ Zoho apps bundled at ₹800/user/month — dramatically lower than buying each separately, but with far higher LTV per customer than any single product.

When and How to Raise Prices

Signals That You Are Ready to Raise Prices

  • Your close rate exceeds 60% in sales conversations — if more than 60% of qualified prospects are saying yes without price negotiation, you are under-priced
  • Your NPS exceeds 50 — highly satisfied customers are the most resilient to price increases
  • Customers almost never mention price in churn conversations — price is not the reason people leave
  • You have launched meaningful new features since your last pricing review — new value delivered justifies price re-anchoring
  • Your gross margin is below 65% (for SaaS) — pricing power is your fastest path to margin improvement without reducing cost

The Price Increase Communication Playbook

  1. Segment your customer base: Identify high-risk churn customers (low NPS, low usage, price-sensitive segment) vs stable customers (high NPS, high usage, expanding). Apply different communication approaches to each segment.
  2. Give adequate notice: 60–90 days for SMBs; 90–180 days for enterprise customers who have procurement cycles. Never surprise a customer with a price increase on their renewal invoice.
  3. Lead with value: In your price increase communication, lead with what you have delivered — features launched, performance improvements, support investments — before mentioning the price change. "Here is what we built for you in the last 12 months... to continue investing at this pace, we are adjusting pricing as follows."
  4. Grandfather vs migrate: Grandfather your top 20% of highest-value, longest-tenure customers at their current price for 12 months — the loyalty signal is worth the revenue trade-off. Migrate all other customers to new pricing with the full notice period.
  5. Offer annual lock-in at current price: Give customers the option to prepay annually at the current price before the increase takes effect — this improves cash flow and reduces churn from price-sensitive customers.

Price Increase Mistakes That Cause Mass Churn

  • Announcing a price increase with less than 30 days notice — Indian businesses have monthly budget cycles, not weekly
  • Raising prices without adding tangible new value — customers are forgiving of price increases if they can see what they are paying for
  • Raising prices for your highest-churn customer segment without first addressing their product satisfaction issues
  • Making a large (40%+) single price jump rather than two smaller increases 12 months apart — the psychological impact of a 40% increase is disproportionately negative vs two 18% increases

Competitive Pricing Analysis

Legal and Ethical Methods

Research competitor pricing using publicly available information only:

  • Public pricing pages: Screenshot and archive competitor pricing pages monthly using Wayback Machine. Most Indian SaaS companies publish at least starter and growth tier pricing publicly.
  • G2 and Capterra reviews: Many customers mention specific prices paid in reviews — "we pay ₹X for 10 users" — aggregate these data points to build a ground-truth pricing picture that competitors do not officially publish.
  • Win/loss interviews: Every prospect who chose a competitor over you is a source of competitive pricing intelligence. "What did they quote you?" — most prospects share this after the decision is made.
  • Trial signups: Sign up for competitor free trials with your genuine information — the trial onboarding flow often reveals pricing tiers, upgrade prompts, and feature gating not visible on the public pricing page.
  • LinkedIn posts and job descriptions: Competitor sales team job descriptions often specify "ACV targets" or "deal size ranges" that reveal their average selling price and pricing philosophy.

Using Competitive Pricing Data

Competitive pricing data should inform your pricing position, not determine it. The common mistake: pricing at a fixed discount to the market leader ("we are 30% cheaper than Competitor X"). This locks you into a cost-based positioning that is impossible to defend if the competitor reduces prices, and prevents you from communicating your own value story. Instead: use competitive pricing data to validate that your value-based price is within the acceptable range, and position your pricing relative to value delivered rather than relative to competitor price.

Frequently Asked Questions

Should I offer discounts to close early customers in India? +

Early customer discounts are a legitimate tactic when structured correctly — but they carry significant risk if managed poorly. The right approach: offer a named "Early Adopter" or "Founding Customer" discount of 20–40% on the annual price, in exchange for: (1) a case study right and reference customer agreement; (2) a 12-month minimum commitment; and (3) a specific commitment to provide feedback sessions with your product team. This structure captures the customer at a lower price while ensuring you get real value in return (reference, case study, feedback) and sets a clear path to full pricing at renewal. The wrong approach: giving ad hoc discounts to every prospect who pushes back on price — this trains your entire market that your list price is a fiction and creates a culture of negotiation that is very difficult to exit.

When should I switch from per-seat pricing to usage-based pricing? +

The trigger for switching to usage-based pricing is when your value delivery is more correlated with customer usage than with the number of seats. If customers with 10 seats use your product 100x more than customers with 10 seats who use it lightly, per-seat pricing is systemically under-charging heavy users and potentially over-charging light users — creating churn risk from both ends. Usage-based pricing fixes this alignment problem. The practical challenge: usage-based revenue is less predictable, which complicates your revenue forecasting and fundraising narrative at early stages. The solution many Indian SaaS companies adopt at Series A: a committed monthly minimum (₹X/month baseline) plus usage overage charges above that minimum — capturing the predictability of subscription pricing while capturing the upside of usage growth.

How do I handle a prospect who says "your price is too high" without discounting? +

"Your price is too high" almost never means the price is objectively above market — it most often means one of three things: (1) the prospect does not yet perceive enough value; (2) the prospect is testing your willingness to discount (standard negotiation behaviour in India); or (3) the prospect's budget is genuinely constrained but they want the product. The response to each is different. For (1), ask: "What value would you need to see to make this price feel justified?" — this reframes the conversation from price to value and reveals what gap in your sales conversation you need to address. For (2), hold your price and instead adjust scope or payment terms: "I can't adjust the price, but I can offer quarterly payments instead of annual upfront, which might work better for your cash flow." For (3), offer a Starter plan or a smaller implementation scope — not a discount on your Growth plan. Never discount your primary tier in response to price pushback — instead, adjust the package or payment structure.

Should I price in rupees or dollars for my India-built SaaS? +

Price in the currency your primary customer pays in. If your primary customers are Indian businesses, price in INR — it removes payment friction, eliminates currency risk for your customer, and signals that you understand the Indian market. If your primary customers are global (US, Europe, Southeast Asia) with India being a secondary market, price in USD — it communicates global positioning and eliminates currency confusion for your primary segment. The dual-currency approach (INR for India customers, USD for international) requires careful operational management — separate pricing pages, separate invoicing processes, and potentially separate Corpfy Banking & Treasury/Corpfy Banking & Treasury accounts — but is worth the complexity if you have meaningfully different customer segments in each market. Avoid the mistake of pricing in USD for Indian customers who have no natural USD budget — it adds friction and signals misalignment with the India market.

How do I test pricing without revealing the experiment to customers? +

There are several ethical and practical approaches to pricing experimentation: (1) Sequential testing: Run one price for Q1 (measuring conversion rate and ACV), then a different price for Q2 — not simultaneous, so no customer sees a different price than another in the same cohort. Compare results across the two periods accounting for seasonality. (2) Segment testing: Test different prices for genuinely different segments — Tier 1 city customers vs Tier 2 city customers, or customers in different industries. Segment-based pricing is common and accepted. (3) Package testing: Test different feature combinations at the same price point rather than different prices for the same package — this is easier to defend if a customer ever compares notes. (4) New customer only: Any pricing experiment should apply only to new customers, never to existing customers mid-subscription — retroactive price changes to existing customers without notice are both unethical and likely breach your contract terms.

Key Takeaways

Most Indian startups are significantly under-priced — the first pricing experiment should test a higher price:

India's startup ecosystem has a cultural bias toward low pricing driven by the assumption that Indian customers will not pay "global" prices. This assumption is increasingly wrong — particularly in B2B SaaS, where the Indian enterprise and mid-market buyer is sophisticated, values ROI, and is willing to pay for demonstrably better products. Data from SaaSBoomi shows that Indian SaaS companies that ran a price increase experiment saw close rates drop by less than 5% in 72% of cases — meaning they were losing virtually no customers while capturing significantly more revenue. If you have not raised prices in 12 months, you are almost certainly under-priced.

Value-based pricing requires rigorous ROI quantification — build a customer ROI calculator:

The most powerful pricing tool for Indian B2B SaaS sales is a simple, credible ROI calculator that the prospect fills in with their own numbers and arrives at their own conclusion that your product is worth the price. Build this as a Google Sheet or simple web tool — input fields for team size, current time spent on the problem, hourly cost, and error rate; output fields showing annual cost of the problem, annual savings with your product, and payback period. When a prospect themselves calculates that their annual savings are ₹18L and your price is ₹3.6L, the sale is made. This approach is particularly effective in India where financial due diligence culture among SMB founders means a clear ROI argument closes deals that feature comparison cannot.

Run the Van Westendorp survey with 50 prospects before finalising your pricing — the data will surprise you:

Founders consistently underestimate what their target customers are willing to pay. Running a Van Westendorp survey with 50 genuine potential buyers before setting your public pricing takes approximately 2 weeks and ₹0 in cost (using Corpfy Customer Discovery's free tier and LinkedIn distribution). In the majority of cases, the Optimal Price Point revealed by the survey is 40–80% higher than the founder's gut-feel starting price. The survey also reveals your Acceptable Price Range — the band within which you can experiment with A/B pricing tests without risking significant conversion rate damage. There is no legitimate substitute for this data when making one of the most consequential decisions in your startup's early life.

Packaging and tier architecture should be designed to drive upgrades, not just accommodate different budgets:

The most common packaging mistake Indian founders make is designing tiers based on arbitrary feature limits (500 records vs unlimited records) without thinking about the upgrade trigger. Every Starter plan feature limit should be calibrated to the point where a genuinely engaged customer will hit it within 60–90 days of adoption — creating a natural, non-coercive upgrade trigger at the moment of highest product value realisation. If your Starter customers never hit the limits, your limits are too generous and you are leaving upgrade revenue on the table. Review your tier limit data quarterly and adjust limits based on actual usage patterns in your customer base.

Price increases are a product management decision, not just a commercial one — align them with value delivered:

The most successful price increases in Indian SaaS history have been anchored to specific, tangible value delivered since the last pricing review. Corpfy Customer Success, Corpfy, and Corpfy Subscription Management have all raised prices — and retained the vast majority of their customer base — because each increase was accompanied by a credible narrative of product improvement. Before raising prices, compile a specific list of every meaningful feature, performance improvement, and support capability you have delivered in the last 12 months. This "value delivered" list becomes the backbone of your price increase communication and makes the increase feel earned rather than arbitrary. Send it in a customer letter 90 days before the new pricing takes effect.

Inside Corpfy Pricing Strategy

Corpfy's Pricing Strategy dashboard combines a 3-tier plan builder, pricing psychology card library, A/B experiment tracker, and India-specific benchmarks in one workspace. India stage benchmarks are in ₹ (not USD): Seed ₹999–2,999/month, Series A ₹2,999–9,999/month — calibrated to what India B2B SaaS buyers actually pay, not global averages that don't apply to the local market.

What you get in the dashboard

FeatureWhat it doesFounder benefit
3-Tier Plan BuilderBuilds Starter/Growth/Enterprise (or Free/Pro/Business) with monthly/annual pricing, feature list, limits, and target segmentPricing page is always in sync with your actual plan configuration — no disconnect between pricing page and what sales quotes
Annual Discount CalculatorShows annual vs monthly revenue impact at different discount levels (10%, 15%, 20%, 25%) with cash flow benefitAnnual plans improve cash runway — Corpfy quantifies exactly how much runway each additional % of annual subscribers adds
Pricing Psychology Library8 techniques with India examples: charm pricing, anchoring, annual discounts, freemium, per-seat vs usage-based, localisation, decoy effect, loss aversionPsychology-informed pricing increases conversion without changing price — the free optimisation most startups ignore
A/B Experiment TrackerLogs pricing experiments: hypothesis, variant, test period, outcome (Won/Lost/Running/Inconclusive) — with learnings fieldMost pricing decisions are gut-feel — running tracked experiments makes pricing a data-driven discipline
India Stage Benchmarks₹-denominated benchmarks: Seed ₹999–2,999/mo; Series A ₹2,999–9,999/mo; Growth ₹9,999–49,999/mo; Enterprise customAnchoring to India market rates prevents two common mistakes: pricing too low (leaving money) or too high (losing India SMB sales)
Corpfy

Simplify your entrepreneurial journey with our unified startup enablement platform. We streamline compliance, operations, and growth—so you can move faster, reduce friction, and focus on building your client base and product features.

Android, Apple and Desktop