Turn Your Analytics Data
Into Automated Intelligence
Dashboards show what happened. We build machine learning models that tell you why it happened, what will happen next, and what to do about it - running automatically on your existing data.
What We Build
We build intelligence on top of the data your analytics stack already collects - no new data sources required.
Predictive Analytics
Revenue forecasting, demand prediction, and campaign performance modelling trained on your historical data to anticipate what comes next.
Anomaly Detection
Automated monitoring that alerts you when metrics deviate significantly from expected patterns - before a conversion drop becomes a crisis.
Customer Segmentation
ML-driven segmentation models that identify high-value customer clusters, churn risk cohorts, and lookalike audiences from your GA4 and CRM data.
Automated Reporting
Intelligence pipelines that generate plain-language insights from your data on a schedule - no analyst required to produce Monday morning reports.
From Data to Action, Automatically
Your GA4 and BigQuery data contains patterns your team does not have time to find manually. Predictive models catch churn signals before the customer leaves. Anomaly detection alerts you to conversion drops before they compound. Segmentation models identify your best customers before you have spent budget acquiring the wrong ones.
We build models that run continuously on your data and surface actionable findings - in your inbox, your dashboard, or your Slack channel.
- Predict revenue and conversions for the next 30/60/90 days
- Detect anomalies in real time before they become crises
- Identify your highest-LTV customer segments for more efficient acquisition
- Score leads from marketing-qualified to sales-ready using behavioural signals
- Generate automated weekly performance summaries without analyst time
Often Paired With
AI analysis is most valuable when it has clean, unified data to work with and a way to surface findings to decision-makers.
Frequently Asked Questions
What data do I need for AI-powered analysis?
At minimum, a working GA4 setup with 6+ months of historical data. For predictive models and customer segmentation, BigQuery export from GA4 is required. We assess your data readiness before scoping any engagement.
Do you build custom models or use off-the-shelf AI tools?
Both, depending on your needs. For anomaly detection and automated reporting, we use a combination of GA4 Intelligence, BigQuery ML, and custom Python scripts. For predictive models requiring your proprietary data, we build custom models. We always recommend the simplest approach that solves your problem.
How is AI-Powered Analysis different from AI Marketing Intelligence?
AI-Powered Analysis focuses on building models - predictive analytics, segmentation, anomaly detection - directly on your data. AI Marketing Intelligence is a broader service adding automated reporting, executive summaries, and campaign intelligence. They are complementary and can be engaged separately or together.
Ready to go beyond dashboards?
We assess your data readiness and recommend the right ML approach for your business.