Raccoon AI Business Intelligence
Generate insights reports, customer segmentation, and cohort analysis to understand your business better. Turn data into strategic advantage.
Try these prompts to get started
Insights Report
Generate a comprehensive insights report from your data, summarizing key findings, patterns, and actionable takeaways.
Customer Segmentation Analysis
Analyze your customer data to identify distinct segments with unique behaviors, needs, and value profiles.
Cohort Analysis Insights
Analyze user cohorts to understand group behavior over time, compare segments, and identify retention patterns.
How to generate business insights with Raccoon AI
Define your questions
Start with the business questions you need to answer. What decisions are you trying to inform? What hypotheses do you want to test?
Question-first analysis
Good BI starts with clear questions. "What's happening with revenue?" is too vague. "Why did Q3 revenue decline in the enterprise segment?" is actionable.
Help me define the key business questions for analyzing customer churn. What should I be asking to understand why customers leave and how to prevent it?
Gather and prepare your data
Identify what data you need and ensure it is clean, complete, and properly structured for analysis.
Data quality matters
Insights are only as good as the underlying data. Verify accuracy before drawing conclusions.
What data do I need to understand why enterprise customers churn more than SMB customers? What data quality checks should I run before analysis?
Explore and discover patterns
Let the data reveal stories. Look for trends, anomalies, correlations, and unexpected patterns.
Stay curious
Sometimes the most valuable insights are ones you were not looking for. Explore before confirming.
Explore this dataset for patterns and insights. Look for trends, anomalies, correlations, and anything unexpected. What stories does the data tell?
Segment and compare
Break your data into meaningful segments. Compare groups to understand what drives different outcomes.
Averages hide insights
Overall metrics mask variation. Segment by customer type, channel, time period, or behavior to find actionable differences.
Segment our customer data by company size and acquisition channel. Compare segments on retention rate, LTV, and feature adoption. Which segments outperform? What drives the difference?
Validate and quantify
Test your hypotheses statistically. Quantify the size and significance of effects you observe.
Correlation vs causation
Be careful about causal claims. Strong correlation is interesting but does not prove one thing causes another.
Validate this insight: customers who complete onboarding within 7 days have 40% higher retention. Is the effect statistically significant? What is the confidence level? What alternative explanations exist?
Translate to action
Insights without action are just interesting facts. Translate findings into specific recommendations.
So what? Now what?
Every insight should lead to a recommended action or decision. If it does not inform a decision, question whether it matters.
Based on these insights: faster onboarding reduces churn by 40%, enterprise customers need more touchpoints, and pricing tier affects feature adoption. What actions should we take? Prioritize recommendations by impact and feasibility.
Frequently asked questions
Transform raw data into strategic insights. Raccoon AI helps you analyze customer behavior, segment your market, and uncover the patterns that drive business success.
Have more questions or looking for a different solution? Contact sales
Raccoon AI provides confidence levels and statistical tests for insights. It flags when sample sizes are too small or when apparent patterns might be random noise. You can trust insights marked as statistically significant.
Yes. Describe your business context and what you want to learn. Raccoon AI explores the data, identifies patterns, and explains findings in business terms-not just statistics. It helps you understand your data.
Key metrics should be monitored continuously via dashboards. Deep analysis like segmentation might be quarterly. Cohort analysis is typically monthly. Raccoon AI can help you set up ongoing monitoring and periodic deep dives.
Raccoon AI can help clean and prepare your data before analysis. It identifies data quality issues and either fixes them or flags them. Some analysis is possible even with imperfect data-it will note limitations.
Yes. Export reports as PDF, PowerPoint, or interactive dashboards. Raccoon AI formats insights for different audiences-executive summaries for leadership, detailed analysis for analysts.