Corrily is a monetization growth engine that makes it easy for companies to control, iterate, and personalize their monetization. Corrily is a YC-backed startup with customers and employees all over the world.
Existing customers have been achieving impressive wins with Corrily’s platform, like Linktree (LTV +14%), IFTTT (+56% in new MRR), Skillshare (conversion +31%), and Scrimba (+50% in new MRR).
What We Offer:
Monetization Experiments: Launch real-time targeted pricing experiments across all channels. Funnel Analytics & AI Insights: Monitor key metrics, understand user journeys, and get AI-driven pricing insights. Price and Plan Management: Localize prices, manage FX rates, and handle per-segment pricing. Personalized Pricing: Boost conversions with tailored discounts, dynamic coupons, or promo codes for specific audiences. Price Iteration: Easily modify pricing using intuitive UI components. Churn Deflection: Address voluntary churn with cancellation strategies and proprietary algorithms to enhance retention.
Key Benefits of Corrily:
Scale: Enhance monetization and boost metrics like revenue, conversions, and retention with reliable AI/ML tools. Simplicity: Manage your pricing ecosystem in one place, reducing complexity. Agility: Quickly adapt and iterate on monetization strategies with our high-performance tools.
Did you know that it is 5 times easier to sell a product to an existing customer than to a new prospect? Furthermore, it can costs up to 5 times more to acquire a new customer than it does keeping the existing ones! A lot of SaaS are putting tremendous efforts into customer's acquisition but face huge churns, without focusing on keeping their customers. If you feel like too many customers are leaving your SaaS, without knowing what to do, the tool we developed is for you.
What is it? ChurnTarget helps you detect your customers that may soon be leaving your SaaS. By doing this, you can reach out to them before they actually leave, giving you more time to convince them to stay.
How does it work? There's nearly no integration to be made to make it work. You have to gather your customer's information in an excel, and upload it to your dashboard on our website, and initiate your report. Machine Learning algorithms will then go through your data, and find links between previous churns to give you a list of the customers which are the most likely to churn in the following weeks.
When will this be live? This is still an early version but we expect it to be ready in the following weeks. If you're interested, you can already sign up and talk to us. We are looking for early users and feedbacks, to help us shape our product, according to your needs. We will be giving discounts for early users and people who gave us feedback.
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