Playbooks
Step-by-step setups you can run on your own data, from a churn radar to competitor tracking, each ending in something that keeps running.
All 10 playbooks
Turn Customer Issues Into Revenue Priorities
Join conversation themes to the accounts, ARR and renewal dates behind them, so CS, product, support ops and finance prioritize from one ranking.
Conversation Analytics, From Reading Every Call to Acting on It
What it is, how AI reads every conversation, and what changes when conversations sit next to CRM, product and market data.
Spot Renewal Risk Before It Threatens Revenue
Detect churn signals across conversations, usage and renewal data, backtest them, and route each at-risk account to the CSM and the team that owns the cause.
Know What Your AI Agent Tells Customers
Score every bot conversation, trace each failure to its cause, and route the fix, from accuracy to handoffs.
Turn Support Tickets Into a Ranked Product Backlog
Separate defects, requests and friction, count distinct accounts, and check demand against your roadmap.
Find the Competitive Signals Behind Your Wins and Losses
Classify every competitor mention, join it to the deal, the outcome and the rival’s latest move, and give product marketing, sales and CS the same evidence.
Build One Conversation Taxonomy Every Team Can Use
Discover categories with AI, apply them to every conversation, and version the taxonomy as your questions change.
Spot Renewal Risk Earlier With Predictive CSAT & NPS
Surveys hear from 5–15% of customers. Predict satisfaction and loyalty on every conversation, so falling scores show which renewals need attention.
Conversation-Powered AEO Playbook
How to turn customer conversations into content that AI cites
Find Out Why Your Chatbot Hands Customers Off
Code every escalation by root cause, score the handoff, and separate avoidable escalations from the right calls.
See what you can build
Every guide here ends in something you can run. Start from a ready-made agent, or describe your own and Rippit builds it.
