Lang.ai
AI for CX insights and automation
Overview
What is Lang.ai?
Lang.ai automates time-consuming data engineering into one clear story, one user at a time. It leverages Snowflake data to bring product, customer interactions, and revenue into actionable insights. AI Agents made for your goals🚀📞🤌🔒💰Retention 🔒Contact Reasons 📞Conversion 🤌NPS 🚀Cross-Selling 💰⚙️ Customization5% of Premium users churn due to lack of customization options 🏦 Too Much Info20% of churned customers mentioning business closure transferred money to another bank 🎁 Returns25% increase in inquiries about product returns, from Holiday Sales customers📲 Bad UX18% of mobile app users mention difficulty finding the export data feature🔒 Cyber Security45% of users who abandon signup cite concerns about data security🩺 Sickness38% of patients mentioning nausea in initial consultations don’t convert to paid treatment plans 💸 Higher Fees17% of Detractors mention high fees📈 App FeaturesPromoters main driver with 25% is the app’s budgeting features📊 Analytics32% of basic plan users ask about advanced analytics features💳 Credit Rewards25% of loan customers who talked about travel acquired the rewards credit card
What is Lang.ai used for?
Tags

Top Features
- AI Agents for Retention, Conversion, NPS, and Cross-Selling
- Correlation Finding
- Contextualized Insights
- Large Volume Data Processing
- Slack Integration
How to use Lang.ai?
Lang.ai syncs with Snowflake in minutes, captures relevant information from Snowflake tables based on your goal (like Retention), transforms Snowflake data into insights, and transforms insights into business value.
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Pros & Cons
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Use Cases
- Retention analysis
- Conversion optimization
- NPS improvement
- Cross-selling strategies
- Customization analysis
- Identifying reasons for churn
- Analyzing product returns
- Improving user experience
- Addressing cybersecurity concerns
- Improving patient conversion rates
- Analyzing app features
- Analyzing customer sentiment
Lang.ai Pricing
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