LTV 4

AI retention system for e-commerce and dropshipping. Evolvoom is an AI-powered customer retention system designed for e-commerce and dropshipping brands. It automates cart recovery, boosts customer lifetime value (LTV), and re-engages customers through smart, personalized, two-way AI conversations via email and SMS. The system eliminates the need for manual setup or complex marketing flows, integrating with Shopify to identify and proactively reach out to inactive customers.

hachidori is a no-code chatbot development platform for creating tailored communication. hachidori is a chatbot development platform that allows you to create communication tailored to your objectives without programming. Over 7,000 chatbots have already been created on hachidori. It supports LINE, WEB chat, and LINE WORKS. With chatbot and API technology and scenario design capabilities, it contributes to improving LTV and reducing costs. By integrating hachidori into your chat, simple chat logs become easy-to-use databases, and efficiency is improved through automatic responses (Q&A) and automatic processing (scoring, database updates). It can be used in a wide variety of scenes according to the customer's business type and industry.

CheckFa.st validates product ideas using Google Search data for market demand and financial viability. CheckFa.st evaluates your product idea's market demand and financial viability using Google Search data. It provides an instant analysis, powered by Google Search Data, to validate startup ideas in minutes, not weeks. It delivers metrics needed to validate market demand and financial viability, including TAM, CAC, LTV, and a P&L statement.

flowRL uses AI to personalize UI in realtime, boosting metrics and eliminating A/B testing. flowRL enables real metric-driven UI personalization. Tailor your customers' experience to their needs and gain an up to 2–3× target metric uplift with the power of Reinforcement Learning and AI. It grows your product's revenue with the power of realtime UI personalization. FlowRL finds the most effective UI variants by predicting best variants for each user, eliminating the need for extensive A/B testing, data collection, and analysis. Instead of deciding on a single product version for all users, it automatically selects the best UI for each individual.