Subscription Pricing Tier Calculator
Generate a Good/Better/Best subscription pricing ladder from a single anchor price. Auto-computes tier prices via configurable multipliers + ARR projection by tier mix.
Subscription Pricing Tier Calculator
How to use the Subscription Pricing Tier Calculator
Set the Standard (anchor) price
This is the price your "most popular" tier targets — the rational middle choice. Most SaaS businesses anchor here based on willingness-to-pay research (Van Westendorp surveys), competitor benchmarks, or value-based pricing math. Common anchors: $29/mo (small business), $99/mo (mid-market), $499/mo (enterprise entry). The anchor drives the entire ladder; pick it carefully.
Set the Basic + Premium multipliers
Basic defaults to 0.4× anchor — feels like a clear discount but missing enough features that ambitious users self-upgrade. Premium defaults to 2.5× anchor — high enough that it acts as an anchor for Standard (makes Standard look reasonable) but not so high it\'s invisible. Adjust based on your value distribution: if Premium customers are ~3× more valuable than Standard, the 2.5× pricing works.
Set the customer mix
Default: 20% Basic / 60% Standard / 20% Premium. This is the textbook "decoy effect" target — Standard captures the bulk, Premium provides the anchor + value extraction, Basic prevents losing budget-conscious prospects. Industry varies: freemium SaaS often runs 50% Basic; enterprise B2B often 10% Basic / 50% Standard / 40% Premium; consumer subscriptions usually 30/55/15.
Read the blended ARPU + ARR projection
The tool computes blended ARPU (average revenue per user across all tiers) and projects MRR + ARR based on your customer count. Use these to: (1) compare ladder designs side-by-side, (2) feed into LTV calculations, (3) target burn rates against projected ARR, (4) project funding requirements. Run multiple scenarios (different multipliers, different mixes) before locking pricing.
Good/Better/Best — the pricing ladder that works in 80% of subscription markets
The three-tier "Good/Better/Best" pricing ladder is the most empirically validated subscription pricing structure. It works for a simple reason: it gives users a clear default choice (the middle tier) while extracting value from both ends — budget-conscious users who would otherwise churn, and power users who happily pay 2-3× more for premium features. Adding a third Premium tier above the original price doesn\'t reduce Standard conversions; it INCREASES them by 30-50% because the Premium tier acts as an anchor making Standard look like the rational choice. This isn\'t marketing trickery — it\'s how human pricing perception works (Ariely\'s research at MIT documents this thoroughly).
Why 3 tiers, not 4 or 5
Conversion drops sharply when subscription products offer more than 3-4 tiers. The "analysis paralysis" effect kicks in around tier 4: users can\'t quickly compare features, so they either delay the decision (and never convert) or default to the cheapest (lowering ARPU). Companies that try 5+ tiers (Spotify variants, some enterprise SaaS) typically see overall conversion drop 10-30%. The sweet spot is 3 tiers for B2C and consumer SaaS; 3-4 tiers for B2B; up to 5 tiers ONLY for enterprise where complex feature differentiation is genuinely needed. Add an "Enterprise — Contact Sales" placeholder at the top if you need a high-end option for very large customers, but don\'t price it publicly.
Adding a Premium tier above your Standard doesn't reduce Standard sales — it INCREASES them 30-50%. The Premium tier acts as an anchor making Standard look like the rational middle choice.
Common pricing ladder mistakes
Three common mistakes destroy pricing-tier effectiveness. (1) Multipliers too narrow: Basic at 80% of Standard means users see no reason not to upgrade — Basic essentially doesn\'t exist as a real option. Target Basic at 30-50% of Standard, Premium at 200-400%. (2) Feature differentiation that doesn\'t make sense: tier features must align with value perception — Basic limited by usage/seat caps; Standard unlocks workflow features; Premium adds power/admin tools. Splitting features randomly (Basic gets dark mode but not collaboration; Standard gets collaboration but not analytics) confuses users and prevents the "rational ladder" logic. (3) Pricing the middle tier too high: many founders anchor Standard at "what they wish customers paid" rather than what Van Westendorp surveys actually show willingness-to-pay. Test before locking — run A/B tests on cohorts, do customer interviews about WTP, look at competitor public pricing.
The ASEAN SaaS pricing reality
Pricing across ASEAN markets requires explicit strategy. Three common approaches: (1) USD parity — Notion, Figma, Slack, Stripe charge the same USD prices in Singapore as in San Francisco. Works for English-language B2B targeting global teams. Higher margins but smaller addressable market in low-PPP countries. (2) PPP-adjusted local pricing — Shopify, Canva, Adobe all offer significantly discounted pricing in Indonesia, Vietnam, Philippines (40-60% of US prices). Larger TAM but margin pressure. (3) Local-only pricing — Grab+, GoTo apps, Shopee Premium price in local currency from day one, optimised for local WTP. Best for B2C consumer apps. For B2B SaaS founders: anchor on Singapore + Australia at USD parity; offer PPP discounts to Indonesia, Vietnam, Philippines (35-50% off); use enterprise sales for Malaysia + Thailand (custom pricing). Region-wide flat USD pricing leaves significant TAM on the table in Tier-3 markets.
10 Things to Know About Subscription Pricing
3-tier "Good/Better/Best" is the empirically dominant SaaS pricing structure. Works in ~80% of subscription markets.
Adding a Premium tier increases Standard sales 30-50% via the anchor effect — even if almost no one buys Premium.
Most Popular badge on Standard boosts its conversion 5-15% over identical-but-unlabeled tiers (social-proof effect).
Annual prepay discount of 15-20% is the SaaS norm — extends contract term, reduces churn, generates negative CCC.
SaaS that grew with 2-tier pricing (Dropbox, Notion early years) typically migrate to 3-tier as the customer base matures.
Decoy effect (Ariely): adding a clearly worse-value option near the target makes the target sell more. Used heavily in subscription tiers.
Charm pricing ($29 vs $30) still works in B2C SaaS — typically 5-15% lift. Less effective in enterprise pricing.
4+ tier conversion drops 10-30% vs 3-tier in B2C/SMB markets. Enterprise + complex products may justify more tiers.
Van Westendorp Price Sensitivity Meter is the standard SaaS pricing research method. 4 questions; gives optimal price range.
Pricing changes after launch are extremely sticky — existing customers hate changes. Test heavily before launching public pricing.
Frequently Asked Questions
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Common B2B SaaS multiplier patterns: Basic 0.3-0.5×, Standard 1.0×, Premium 2-4×. Specific examples: Slack ($7.25 / $12.50 / $15+ — 0.58/1.0/1.2 ratio, very narrow); Notion ($8 / $15 / $24 — 0.53/1.0/1.6); Zoom Workplace ($14.99 / $21.99 / $28.99 — 0.68/1.0/1.32); Stripe (custom enterprise). The narrow B2B ratios reflect tighter price elasticity in business markets. For B2C, ratios are usually wider (0.3-0.5 / 1.0 / 2.5-4.0).
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Depends on your customer acquisition strategy. Freemium works when: viral coefficient is built-in (collaborative tools), conversion-to-paid is > 2%, support costs for free users are minimal. Freemium fails when: free users consume expensive resources (heavy compute, storage, human support), free is "good enough" so users never upgrade, support burden eats margin. Successful freemium: Notion, Figma, Slack, Dropbox. Failed freemium: many B2B SaaS that pivoted away from freemium after seeing the economics. Free trial (14-30 days) often works better than freemium for B2B SaaS.
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Industry pattern: offer 15-20% discount on annual prepay vs monthly. Annual mix targets: B2B SaaS 60-80% annual is typical; consumer SaaS 30-50% annual; freemium-to-paid 50-70% monthly (users hesitant to commit). Annual prepay reduces churn 30-50% (sunk-cost effect), generates upfront cash, and creates negative CCC. Strongly preferred where customers will commit.
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Three strategies. USD parity: charge USD globally, no local discounts. Works for English B2B SaaS targeting global teams (Notion, Figma). Higher margins, smaller TAM in low-PPP countries. PPP-adjusted: local-currency pricing with 30-60% discounts in Indonesia, Vietnam, Philippines vs US. Larger TAM, margin pressure. Examples: Shopify, Canva, Adobe Creative Cloud. Local-only: priced in local currency for local WTP from day one. Best for consumer apps. Recommendation for ASEAN B2B SaaS: USD parity in Singapore + Australia; PPP discounts in ID/VN/PH (35-50% off); enterprise sales in MY/TH (custom). Region-wide flat USD pricing leaves significant TAM on the table.
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Signals it\'s time: (1) NPS > 50: customers love the product — value perception supports higher prices. (2) Easy wins in sales calls: prospects accept your pricing without negotiation — leaving money on the table. (3) Churn driven by competitive features, not price: customers don\'t cite price as the reason. (4) Cost basis has grown: new features added; pricing should grow proportionally. Best practice: raise on new customers only (grandfather existing), increase 10-25% annually, communicate value-add justifying the change. Companies that under-price grow slower because they can\'t fund the sales + marketing that pricing power would enable.
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Adding an obviously inferior option to make another option look better. Classic Economist magazine example: Online-only $59, Print-only $125, Print+Online $125. The Print-only "decoy" exists ONLY to make Print+Online look like a brilliant deal (same price as Print-only, but you get both!). When researchers (Ariely) removed the decoy, Print+Online sales dropped from 84% to 32%. Same principle works in SaaS: Premium tier acts as a decoy that makes Standard look like the rational middle choice. Effective but ethical when the Premium tier has genuine value for the right customer; manipulative when it\'s a fake option no one should buy.
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Per-seat: charge per user/month. Predictable revenue, easier sales. Best when value scales with users (Slack, Notion, Zoom). Usage-based: charge per transaction/API call/GB/event. Aligns price with value. Best for infrastructure (Stripe, AWS, Snowflake) and infrequent-use tools. Hybrid: base subscription + usage overage. Most flexible. Many modern SaaS (Datadog, Twilio) use hybrid. Choose based on customer value driver: per-seat for "human productivity" tools; usage for "machine throughput" tools; hybrid for both.
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Usually no. "Contact Sales" for enterprise lets you price-discriminate based on customer size + value extraction. Published pricing locks you into one price point regardless of customer's WTP. Strong public Standard pricing (clearly priced) plus "Contact Sales for Enterprise" is the modern SaaS norm. Exception: some PLG companies (Linear, Notion, Vercel) publish enterprise pricing transparently to reduce sales friction and let buyers self-serve up to mid-market. Test which works for your sales motion.
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No. All calculations run in your browser via JavaScript. Open DevTools → Network and confirm zero outbound requests with your data. Anchor price, customer count, multipliers, and tier mix all stay on your device. Safe for confidential pricing strategy work.
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Direct: competitors\' pricing pages — most B2B SaaS publish. Aggregated: G2.com + Capterra + GetApp (paid tools list comparison); ProductHunt for emerging products; Pricing Pages.com for archived snapshots. Research firms: OpenView Partners + Bessemer publish annual SaaS pricing benchmark reports; ChartMogul + Profitwell publish industry MRR/ARPU data. For ASEAN context: KrAsia + Tech in Asia covers Southeast Asia SaaS pricing trends.
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