These agents continuously analyze user behavior, predict churn & LTV, create dynamic segments, and recommend retention actions — automatically.
Identify at-risk customers weeks in advance using behavior, engagement, and transaction signals.
Calculate predictive CLV per user, cohort, or segment to prioritize high-value retention efforts.
Automatically group users by RFM, journey stage, product usage, or predicted propensity — dynamically updated.
Suggest personalized offers, messages, or interventions to maximize retention and LTV.
Detect satisfaction trends from support tickets, reviews, and chat — flag early warning signals.
Visualize full user paths, drop-off points, and friction — recommend fixes to boost conversion & retention.
Compare retention, LTV, and behavior across acquisition channels, cohorts, or features.
Automatically launch win-back, upgrade, or re-engagement flows when risk thresholds are crossed.
Score every user for repeat purchase, upgrade, churn, or expansion likelihood in real time.
Built for product, marketing, and customer success teams who want to reduce churn and grow customer value — without manual analysis.
Ask “Which segment has highest churn risk this month?” or “What’s LTV by acquisition channel?” — instant answers + visuals.
Real-time notifications via Slack/Email when users show high churn probability or behavior changes.
Combine product usage, billing, support, marketing & CRM data into unified 360° customer profiles.
Advanced ML forecasts churn risk, repeat likelihood, and customer lifetime value per user.
Explore why segments churn or succeed — funnel drop-offs, feature usage, session patterns.
Granular permissions — marketing sees segments, CS sees at-risk users, execs see LTV trends.
Critical churn alerts and LTV updates delivered straight to your phone.
Weekly cohort reports, churn deep-dives, and LTV forecasts auto-delivered to team inboxes.
Push segments to ad platforms, CRM, or email tools via API — or export CSV/Excel.
Pulls behavioral, transactional, and engagement data from the tools you already use.
Amplitude, Mixpanel, Heap, PostHog, Segment
Snowflake, BigQuery, Redshift, Databricks
PostgreSQL, MongoDB, MySQL, Kafka, RudderStack
HubSpot, Salesforce, Stripe, Chargebee, Recurly
Braze, Klaviyo, Intercom, Customer.io, Iterable
Zendesk, Intercom, Freshdesk, Gorgias, Typeform
Shopify, WooCommerce, BigCommerce
Slack, Microsoft Teams, Email, Discord
Google Analytics 4, Facebook Ads, LinkedIn Ads
See how fast-growing teams reduced churn, grew LTV, and scaled retention using RhinoAgents.
Proactive Retention
Problem: Reactive support couldn't stop cancellations. Solution: AI agent flagged high-risk users 14–21 days early → triggered personalized re-engagement.
"We went from losing 7% monthly to under 4%. The early warnings are incredibly valuable."
— Priya Sharma, Head of Retention
Behavioral Segmentation
Problem: Generic campaigns wasted budget on low-potential buyers. Solution: AI dynamically segmented users by predicted LTV and behavior → tailored discounts & timing.
"Targeting high-LTV segments with the right offer at the right time doubled our repeat purchases."
— Raj Mehta, Growth Lead
Propensity & Upsell
Problem: Struggled to identify users ready for upgrade/expansion. Solution: AI scored every user for expansion propensity → triggered in-app & email upsell sequences.
"We finally know exactly who to target for upgrades — the precision is unreal."
— Sofia Lin, Product Lead
How RhinoAgents' AI Customer Analytics Agents help reduce churn and grow customer lifetime value.
Replace reactive firefighting with proactive, AI-powered retention that grows revenue automatically.