Analytics consulting for businesses with more data than insight.
Method Strategy Consulting is the independent practice of Andrew Valentine, a former Business Analytics Director with over a decade of experience building the KPI frameworks, reporting systems, and pricing experiments that operationally complex businesses run on. Engagements here are defined and scoped up front, with clear deliverables and end dates.
Four ways I engage with clients, each scoped before work starts. Most prospects land on one of these, though the right shape sometimes emerges from the first conversation.
KPI & Reporting System Build
A defined project that produces an aligned set of KPIs and the reporting infrastructure to track them. Good for companies where every team has its own version of the numbers and leadership reviews keep getting stuck on which figures to trust.
Pricing & Experimentation Programs
A defined project to run an A/B pricing or product test end-to-end, with the test infrastructure left in place to run further experiments after. Good for businesses sitting on a pricing decision they can't make confidently from instinct alone.
Embedded Analytics Leadership
Interim analytics leadership tied to a specific transition or milestone. Good for companies that need senior direction now without committing to a permanent hire yet.
Advisory Retainer
A monthly engagement covering KPIs, reporting, and experimentation strategy. Good for leaders who want senior outside perspective without adding headcount or scoping a larger project.
The work tends to land in retail, CPG, automated retail and operations, logistics, and SaaS. The common theme across these industries is operational complexity - distributed locations, physical inventory, high-value pricing decisions, and customer behavior worth testing. My background is largely in distributed-kiosk retail (Redbox and Automated Retail Technologies), and most of the methods translate cleanly to any business with locations, units, or transactions to optimize.
Clients are typically based in Chicago, New York, Boston, Washington DC, Atlanta, Miami, London, and Birmingham, but anywhere else reachable in US Central, Eastern, or UK working hours works great. All work is fully remote.
- Eight-figure annual incremental revenue impact from a pricing change, built on survey-based elasticity work and test/control market experiments.
- Significant reduction in kiosk downtime from a predictive failure model built on error code and sensor telemetry data, used to prioritize technician dispatch toward kiosks at risk of imminent failure.
- Cluster-based cannibalization & accretion model that let leadership target kiosk removals without over-cutting any single trade area, while preserving leaders' qualitative input on the final decisions.