AI Analytics & Business Intelligence
Replace spreadsheets and guesswork with real-time AI intelligence that connects your marketing activity directly to revenue — giving you the clarity to invest with confidence.
What We Deliver
Custom analytics infrastructure and AI-powered intelligence that gives leadership teams the data clarity to make faster, more profitable decisions.
Custom Marketing Dashboards
Beautiful, real-time dashboards built in Power BI, Looker Studio, or your preferred platform — designed for decision-makers, not analysts.
- Executive summary dashboards
- Channel performance views
- Campaign-level reporting
- Automated data refresh
- Mobile-optimized layouts
Multi-Touch Attribution Modeling
Understand exactly which channels and campaigns are driving revenue — with attribution models that reflect how customers actually buy.
- First-touch, last-touch & linear models
- Data-driven attribution setup
- Cross-channel journey analysis
- Revenue attribution by source
- Campaign ROI measurement
Predictive Analytics & Forecasting
AI models that predict future revenue, forecast customer lifetime value, and identify trends before they become obvious.
- Revenue forecasting models
- Churn prediction & early warning
- LTV prediction by cohort
- Demand forecasting
- Anomaly detection & alerts
Data Integration & Pipeline
Connect all your marketing, sales, and financial data into a single source of truth — eliminating manual data pulls and reporting errors.
- CRM + marketing stack integration
- Data warehouse setup (BigQuery / Snowflake)
- ETL pipeline automation
- API data connections
- Data quality monitoring
Marketing → Finance Alignment
Bridge the gap between marketing dashboards and financial statements — giving CFOs and CEOs the P&L-level marketing data they need.
- Marketing P&L modeling
- CAC & LTV financial framing
- EBITDA impact reporting
- Board-ready presentations
- Budget ROI modeling
Analytics Strategy & Governance
A structured approach to defining what to measure, how to measure it, and how to build an analytics culture that drives better decisions across your organization.
- KPI framework development
- North Star metric definition
- Analytics roadmap creation
- Team training & enablement
- Data governance protocols
Our Process
Analytics Audit & Data Inventory
We audit your current analytics setup — tracking gaps, data quality issues, missing connections, and reporting blind spots — and produce a clear picture of where your intelligence infrastructure stands today.
KPI Definition & Measurement Framework
We work with your leadership team to define the metrics that matter most — from North Star metrics to team-level KPIs — and build a measurement framework that aligns to business outcomes.
Data Infrastructure Build
We build your data pipeline, configure tracking, connect your tools, and deploy your dashboards — creating a single source of truth for all marketing and revenue data.
Insight Generation & Ongoing Intelligence
We deliver weekly and monthly analytics insights — surfacing the actionable findings hidden in your data and translating them into specific recommendations for growth.
Analytics Infrastructure Results
95%
Reduction in manual reporting time
100%
Marketing spend accounted for
3.1x
Faster decision-making cycles
28%
Avg. budget reallocation gains identified
Frequently Asked Questions
What data tools do you work with?
We work with Google Analytics 4, Power BI, Looker Studio, BigQuery, Snowflake, HubSpot, Salesforce, Segment, and all major marketing platforms. We recommend the right stack for your scale and budget.
How long does it take to set up analytics infrastructure?
Simple dashboard setups can be delivered in 2–3 weeks. Full data pipeline and attribution infrastructure typically takes 6–10 weeks depending on the complexity of your tech stack and the number of data sources.
Can you fix our broken GA4 or attribution tracking?
Yes. Fixing broken tracking, cleaning up GA4 configurations, and rebuilding attribution models is one of the most common engagements we take on — and often produces immediate improvements in campaign performance as teams can finally see what’s working.