Know exactly how to price and package your products, services, subscriptions.
Today, digital businesses leave both money and users on the table owing to various challenges with their
pricing and packaging strategy viz:
Slow and expensive price discovery
Lack of visibility into willingness to pay across different markets and user segments
Lack of resources when it comes to experimenting with pricing and packaging viz. trials and trial lengths, features,
plans shown etc.
Inability to change prices without complex billing engineering
Corrily solves these challenges by making it extremely simple for
business users to personalize paywalls for different user segments, run live experiments to find hidden monetization opportunities,
make real-time changes to prices and packages, as well as get automated pricing insights.Corrily natively integrates with all major payment gateways, subscription management and commerce platforms,
allowing you to:
Run live monetization experiments across platforms
Paywall Experiments wherever you show a paywall, pricing page or product prices to your users - be it on your website, mobile app,
in-product or via marketing channels
Price Experiments to test what prices optimize your revenue and conversion. Pricing tests can span simple tests such as testing individual prices or currencies of products, or more complex tests such as relative pricing of products
Packaging Experiments to test what combination of products, features and trials work the best - for e.g. for an e-learning businesses students are more likely to buy short term plans such as a month-long plan, whereas professionals may be inclined to buy longer-term plans such as 3-months, or even an annual plan.
Discount Experiments to test what discounts work the best for your objectives i.e. does 10% discount off work better than a flat $10 discount?
Study the impact of any experiment using Corrily’s analytics dashboard or export analytics-ready tables into your own analytics or data warehouse platforms
Understand your product’s demand curve across your users using in-built analytics
Monitor key downstream metrics such as revenue, ARPU, Trial and Paid Conversion, LTV, Average Order Value (AOV) etc.