Don't take our word for it.
Real outcomes from real engagements. Every case study below is a system we designed, built, and delivered — no stock screenshots, no hypotheticals.
What clients say.
“We had years of data and no way to use it. ADM built us a platform where our clients can run their own counts, pull their own reports, and never have to call us for a number. It changed how we sell.”
“We were spending two weeks every quarter building a report our leadership ignored anyway. ADM rebuilt our entire analytics stack and gave us dashboards that actually get used in meetings. Night and day difference.”
“The research infrastructure they built for us is the kind of thing universities spend years trying to figure out on their own. Survey data goes in, clean structured data comes out, and our analysts can actually do analysis instead of data wrangling.”
“We white-labeled their audience intelligence platform and started offering it to our own clients. It's now a core part of how we pitch. Our clients think we built it ourselves.”
Outcomes, not decks.
Every engagement below started with a real problem and ended with a system in production.
Five disconnected data systems with no unified view of customer behavior across channels.
Single data warehouse connecting POS, e-commerce, CRM, and loyalty data. Self-serve dashboards deployed across 4 regional teams.
Longitudinal study spanning 12 years with data spread across three incompatible systems and no record linkage.
Unified longitudinal database with participant-level tracking, cross-wave reconciliation, and IRB-compliant access controls.
Needed to offer audience intelligence to clients but had no API layer or white-label capability.
Production API with white-label portal, live demo environment, and in-product audience counts tool clients experience before signing.
Manual risk scoring process that took analysts 3 days per client, based on incomplete data.
Automated ML scoring pipeline processing client portfolios in minutes with explainable outputs analysts can act on.
No way to identify which customers would churn, upgrade, or refer — marketing fired at everyone equally.
Behavioral segmentation model scoring every customer on churn risk, upsell propensity, and referral likelihood — updated nightly.
Clinical team producing monthly reports in Excel. Leadership making decisions on 30-day-old data.
Real-time clinical operations dashboard with role-based views for frontline staff, managers, and executives.
Ready to be the next case study?
Tell us what you're working with and what you wish you could do. We'll come back with a real plan.