1Price

1Price

1Price helps SaaS teams run AI-assisted pricing, packaging, and localized price experiments connected to Stripe and subscription revenue metrics.

Category:AI Sales
freemium
Last Updated 8/28/2026

About 1Price

1Price is a pricing experimentation platform for SaaS subscription companies that want to stop setting prices once and guessing forever. The product connects to Stripe, lets teams build plans, offers, and experiments, then assigns new users to pricing cohorts at their first pricing interaction. Instead of measuring only clicks or signup conversion, 1Price focuses on subscription-business outcomes such as paid conversion, active subscribers, MRR, realized LTV, churn, and revenue per visitor. It is especially relevant when a team wants to test higher or lower prices, add or hide plans, move features between packages, compare annual discounts, or localize pricing by country. The official docs also show implementation paths for React/Next.js, Framer, Webflow, WordPress, and Gumroad, with a client-side script and API calls for dynamic price values. 1Price is not a general website A/B testing suite; it is a specialized monetization system for teams ready to expose controlled pricing treatments to new visitors and review the subscription impact. Buyers should still check whether its current limits fit their governance needs, because the docs note constraints such as one experiment at a time and beta status for some localized or server-side capabilities.

Best for

SaaS founders and growth leaders who already have checkout traffic and want to test price points without rebuilding billing logic from scratch.
Revenue, product, and monetization teams that need to evaluate packaging, plan names, feature bundles, annual discounts, or localized pricing with subscription metrics.
Stripe-based software businesses that want pricing experiments connected to products, offers, cohorts, subscriptions, MRR, LTV, and churn rather than only landing-page conversion.
Early-stage teams that know pricing is under-tested but need a guided, implementation-light way to run the first controlled experiment.

Best use cases

Launching a new pricing page and routing a small percentage of new visitors into a higher-price treatment before rolling the change across all signups.

Testing whether moving a feature from one package to another increases paid conversion or realized LTV without losing too many trial users.

Adding country-specific prices for international visitors and reviewing regional conversion and revenue impact after the experiment starts collecting data.

Comparing monthly versus annual discount positioning when a team is unsure whether the discount improves cash collection or reduces long-term value.

Replacing spreadsheet-based pricing decisions with a dashboard that tracks visitors, paid customers, active subscribers, MRR, realized LTV, and treatment performance.

Compare before choosing

Compare against generic A/B testing tools if the experiment is mostly copy, layout, or button testing; 1Price is more specialized for pricing, packaging, cohorts, and post-purchase revenue metrics.

Compare against building an internal pricing-experiment service if the company needs deep custom governance, data warehouse ownership, or multiple concurrent experiment rules beyond the current public documentation.

Compare against billing platforms such as Stripe-native configuration alone when the need is only to create static prices, not to assign new visitors to controlled pricing treatments.

Compare against pricing consultants when the team wants strategic research, interviews, and qualitative willingness-to-pay work before instrumenting live checkout experiments.

Features

Price experiment builder

Create controlled experiments that compare offerings, price points, packages, feature placement, annual discounts, or pricing models for new visitors.

Stripe-connected setup

Import Stripe products, map monthly and yearly products to plans, and connect experiment offers to the billing products already used by the business.

Cohort assignment

Assign new users to control and treatment cohorts when they first interact with pricing, so each visitor sees the offer intended for the experiment.

Dynamic pricing display

Use the 1Price script and price-value endpoint to populate pricing tables with the offer, currency, and product details returned for a visitor.

Localized pricing experiments

Run experiments that vary pricing by region or country, helping teams test whether local currency and regional price levels improve revenue.

Subscription analytics

Review experiment impact across visitors, paid customers, active subscribers, churned subscribers, MRR, realized LTV, and revenue per visitor.

Implementation guides

Follow public documentation for React/Next.js, Framer, Webflow, WordPress, and Gumroad, with testing steps for purchase tracking.

Pros

  • Built specifically for pricing and packaging experiments rather than generic landing-page A/B tests.
  • Connects experimentation to subscription metrics such as MRR, LTV, paid conversion, active subscribers, and churn.
  • Official pricing starts with free metrics and a 7-day free trial, lowering the barrier to investigate fit.
  • Supports practical SaaS monetization experiments including price increases, new tiers, annual discounts, plan renaming, and localized pricing.
  • Public docs provide concrete integration details, script examples, and testing steps.

Cons

  • Best fit appears to be Stripe-connected software businesses; teams on other billing stacks should verify support before planning adoption.
  • Some capabilities are marked beta or incomplete in docs, including server-side implementation, country-specific experiment creation, and some integration pages.
  • The docs state that only one experiment can run at a time currently, which may limit larger experimentation programs.
  • Public pricing exposes a Starter price and traffic bands, but does not show every higher-volume price in the public text.
  • Pricing experiments affect revenue and customer trust, so teams still need internal governance, rollback rules, and clear customer communication.

Pricing Plans

Free Pricing Metrics

$0free
  • Pricing type breakdown
  • Charts and tables
  • Revenue cohort analysis
  • No card required
  • Billing-system connection

Starter

$39per month billed monthly
  • Unlimited experiments
  • Unlimited products
  • Weekly reports
  • Dynamic pricing
  • Globalized pricing
  • 7-day free trial

Starter annual billing

25% off monthly billingper year
  • Full Platform access
  • Annual discount
  • Traffic-based pricing fixed for 12 months
  • Unlimited experiments
  • Dynamic and globalized pricing

* Pricing information is for reference only. Please refer to the latest announcement on 1Price's official website.

FAQ

1Price is a SaaS pricing experimentation platform that helps companies test price points, packages, tiers, feature combinations, trial lengths, usage-based options, and localized pricing with subscription-revenue data.
After a team creates offerings and adds them to an experiment, 1Price randomly assigns new users to a cohort so each user sees one of the offers being tested.
Yes. The official docs and marketplace listing center the product around Stripe: teams import Stripe products, map them to plans, and use 1Price to present experiment offers and track purchase impact.
The results documentation lists workspace and experiment metrics including boosted revenue, customers gained, total visitors, paid customers, active subscribers, churned subscribers, MRR, realized LTV, and revenue per visitor.
Yes, 1Price provides localized pricing guidance for varying pricing by region or country, but the docs also indicate some localized experiment capabilities are beta and should be verified before rollout.
The homepage states teams can start in less than 15 minutes, while the docs say the first pricing experiment can be set up in as little as 35 minutes. Actual time depends on billing setup, checkout complexity, and testing.
No. 1Price positions itself against generic A/B testing tools by focusing on pricing, packaging, cohorts, and post-purchase subscription metrics instead of only UI or copy conversion.
Teams should verify billing-stack support, experiment governance, whether one active experiment is enough, localized-pricing beta status, fallback behavior if API calls fail, and how results will be connected to internal analytics.

Tool Information

Developer1Price
Release Date4/5/2026
Pricingfreemium

Related Tags

AI pricing optimizationSaaS pricing experimentsRevenue optimizationStripe pricing automationLocalized pricing