Live dashboards
Custom-built per role — CMO, channel leads, performance, finance — refreshed every 15 minutes from source-of-truth APIs.
Attribution, MMM, incrementality and dashboards built for marketers.
Marketing data sits in 12+ disconnected tools. Spreadsheets get stitched together once a quarter. Decisions get made on instinct because the dashboard is six days behind. Sound familiar?
We build the analytics layer your team should already have: server-side event collection, identity stitching, multi-touch attribution, forecasting, anomaly alerts, and dashboards your CMO and your CFO both trust enough to act on.
Last 8 weeks × channel
Custom-built per role — CMO, channel leads, performance, finance — refreshed every 15 minutes from source-of-truth APIs.
Position-based, time-decay and data-driven models — reconciled with platform-reported and incrementality-tested truth.
Quarterly and YTD revenue forecasts with confidence intervals, scenario modeling and budget optimization.
If a metric matters to your business, we build the pipeline, the calculation and the visualization — not just GA4 defaults.
Statistical models flag drops, spikes and budget pacing issues. Slack alerts within 15 minutes — before campaigns burn.
Every quarter we sit with your leadership, walk the data, and recommend the next 90 days — backed by the model, not vibes.
API ingestion across all your platforms, server-side events, identity stitching, warehouse setup.
Data modelling, attribution logic, custom KPIs, dimensional consistency across channels.
Role-based dashboards: exec, channel-lead, performance, finance — each with the right level of depth.
Predictive models, scenario planning, budget optimization with confidence intervals.
Continuous improvement — anomaly alerts, recalibration, quarterly board readouts, model retraining.
Multi-touch credit by stage
YTD revenue, by quarter
ForecastActual
Day-1 customers retained, by month
Hours from question to data-backed answer
A growth-stage e-commerce client was making major budget moves on stale weekly exports. We rebuilt their analytics stack on Snowflake, deployed live channel + cohort dashboards, and trained their team to self-serve.
Within 4 months, the average data question moved from 68 hours to 4 hours, attribution-backed reallocations lifted blended ROAS by 38%, and the FP&A team retired four spreadsheets entirely.