The actual dashboards, models, and deep-dive analyses behind our engagements — each connected to a case study so you see the architecture, the question, and the answer side by side.
Not screenshots — the real dashboards and reports, each opening a self-contained page with the deep-dive report, underlying data, and downloads.
Segments DirecTV's subscriber base by behavioral archetype, content affinity, and revenue tier — feeding a command-center dashboard for the audience team.
Genre- and title-level affinity scoring per audience cohort, with a programming-mix recommender for retention-at-risk segments.
12- and 24-month LTV predictions per acquisition cohort, plus an LTV-to-CAC dashboard to steer marketing investment toward profitable segments.
Multi-touch attribution model that re-weights credit across paid, owned, and earned touchpoints to reveal the channels actually driving stream activations.
Decomposes voluntary and involuntary churn across tenure cohorts, with leading-indicator signals that fire 30+ days before cancellation.
Cohort retention curves, save-offer effectiveness, and the channel-mix that maximises 12-month retention against control.
Stage-by-stage lifecycle view — acquisition, activation, engagement, retention, win-back — with conversion and value metrics at every gate.
End-to-end dashboard for the DirecTV Stream launch campaign — paired with the full case-study PDF deliverable.
360-degree view of HotD Season 3 viewership on DirecTV — co-watching patterns, drop-off, and ad-product lift.
The entry point to an eight-domain analytics curriculum for Microsoft sales compensation — plan architecture through governance, with live models in each domain.
The full data-to-decision pipeline: source tables, feature engineering, attainment modeling, payout simulation, and cost roll-up in one connected walkthrough.
Plan anatomy, pay mix, OTE vs target incentive, quota mechanics, thresholds, accelerators, caps, and governance.
Top-down vs bottom-up methodology, territory allocation, quota fairness testing, coverage ratios, and regression-based quota models.
Linear vs stepped vs accelerated curves, kink points, SPIFFs, overlays, clawbacks, and draw structures — with payout mechanics modeled.
Attainment distributions, P50/P90 cost estimates, behavioral response, and sensitivity analysis via Monte Carlo simulation.
ΔCost vs ΔRevenue decomposition, elasticity, cost-of-sales benchmarking, and windfall / sandbag analysis.
A visual map of all eight domains and how they connect — the recommended end-to-end learning path.