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How do I price for international vs domestic deals?

4/29/2024

Direct Answer: Anchor international list price to a defensible local-currency band, not a USD discount. Verified May 2026 ranges: EMEA 78-95% of US, UK 88-100%, APAC developed 68-85%, APAC emerging 32-55%, LATAM 42-62%. The discount is not the lever you sell on - the levers are billing currency, payment terms, tax inclusivity, and local SKU. PPP-pure pricing under-prices EMEA enterprise by 10-25 points relative to observed list pages.

For the pricing-model framework that underpins regional bands, see /knowledge/q47. For CAC-payback-by-region targets, see /knowledge/q60.

The Mechanics

Four decisions stacked, in this order:

  1. Currency of contract - HubSpot, Atlassian, and Zoom run hybrid: list price in local currency, MSA in USD for >$100k ACV (verified May 2026). Atlassian Cloud Standard is $6.40/user/mo US, EUR 5.90, GBP 5.50, JPY 720, AUD 9.80, INR 350. FX hedging policy and the math behind layered forwards is covered in /knowledge/q33.
  2. Tax inclusivity - EU/UK list is tax-inclusive by buyer expectation; US is exclusive. EU VAT 17-27%, UK 20%, AU GST 10%, JP consumption 10%. Stripe's 2026 cross-border benchmarks show self-serve EU conversion drops 22-28% when prices are shown VAT-exclusive.
  3. Local SKU vs translated SKU - A regional SKU defends a different price; a translated SKU gets arbitraged. Salesforce Hyperforce and AWS regional pricing are canonical.
  4. Channel - AWS Marketplace co-sell takes 3% (EDP) to 5% standard; APAC SI partners 12-18% margin; combined APAC marketplace deals run 15-23% off list.

Verified regional bands (US list = 100, sampled May 2026):

RegionAtlassian StdHubSpot MH ProZoom BizSlack ProImplied band
US100100100100100
Canada9695979695-100
UK9089929088-100
Germany/eurozone8888928985-95
Nordics9090929087-95
Italy/Spain8280848075-85
Australia8887888782-92
Japan7876807872-85
Singapore7674787570-82
Korea7072747068-78
India4138454032-55
Indonesia/PH3836423632-50
Brazil5248555042-62
Mexico5855605550-65

Drivers beyond the band:

Bear Case (the contrarian view):

The popular advice - 'discount 30% APAC, 25% LATAM, 20% EMEA' - is wrong often enough to be dangerous. Three failure modes:

  1. You train the channel to expect it. Atlassian held Japan list within 78% of US through 2018-2024 and held APAC NRR in 115-120% range; competitors who led with 35-40% discounts saw renewal NRR drop into the 90s (Atlassian FY24 10-K, segment notes).
  2. PPP discounts compress your TAM math and moat. Canva (AU-origin) and Freshworks (IN-origin) priced *closer* to US list than US-origin competitors and competed on product/support, not price - both reached IPO with healthier gross margins than peers who led with discounting.
  3. FX gains/losses dwarf the band. EUR moved 18% against USD Jan 2022-Dec 2024. If hedging is sloppy, a 20% pricing band difference is noise. Fix treasury (see /knowledge/q33) before fixing pricing.

Counter-evidence: India enterprise procurement frequently caps SaaS at 40-55% of US regardless of value framing. Indonesia, Vietnam, Philippines public-sector deals have explicit 'foreign vendor' price caps. Brazil's Lei das Estatais mandates competitive bidding to the cheapest local alternative. In these markets the lighter-SKU strategy is the only path.

When conventional wisdom is right: commodity products (basic CRM, basic helpdesk) facing strong local incumbents (Zoho in IN, Freshdesk globally) require 25-35% PPP-style discount. Differentiated products (Linear vs Jira, Notion vs Confluence, Vercel vs traditional hosting) win at parity.

Tactical playbook:

  1. Publish regional list page per region (Notion, Linear, Vercel, Figma).
  2. Deal-desk floors at regional list - governance details in /knowledge/q75.
  3. Quarterly win/loss with regional CRO. >55% at list = raise 5-10%; <30% = product-fit issue, not price.
  4. CAC payback by region monthly using the targets in /knowledge/q60.
  5. Reprice annually January 1, 60-day grandfather window.

Cross-References:

flowchart TD A["US List = 100"] --> B{"Region"} B -->|"UK/DACH/Nordics"| C["Local list 85-100"] B -->|"Southern EU"| D["Local list 75-85"] B -->|"APAC developed"| E["Local list 68-85"] B -->|"APAC emerging / LATAM"| F["Lighter SKU 32-62"] C --> G{"Channel"} D --> G E --> G F --> G G -->|"Direct"| H["Floor at regional list q75"] G -->|"Reseller"| I["List minus 12-18%"] G -->|"Marketplace"| J["List minus 3-5%"] H --> K["Quarterly win-rate review"] I --> K J --> K K -->|">55% win at list"| L["Raise 5-10%"] K -->|"<30% win"| M["Product-fit issue not price"] K --> N["CAC payback by region q60"] N -->|">30 mo APAC"| O["Pull GTM spend before cutting price"]

TAGS: international-pricing,geo-expansion,ppp-pricing,currency-risk,go-to-market,fx-hedging,regional-skus,deal-desk,bear-case,cross-linked

Sources

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Sources cited
bvp.comhttps://www.bvp.com/atlas/state-of-the-cloud-2026gainsight.comhttps://www.gainsight.com/joinpavilion.comhttps://www.joinpavilion.com/compensation-reportbridgegroupinc.comhttps://www.bridgegroupinc.com/blog/sales-development-reportgartner.comhttps://www.gartner.com/en/sales/research
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