Case Study
Information Technology & Services
How Nordstrom Cut Decision Time by 50% with Revenue Intelligence
Nordstrom's B2B division runs a 300-person operation across multiple sales teams. Their Salesforce had 80,000+ records but reporting took weeks and managers were making decisions on outdated data.
50%
Faster decisions
60 days
Earlier churn detection
31%
ROI misattribution fixed
We're a tech company helping B2B teams extract CRM data, find revenue leaks, and unlock growth. Our approach is simple, combine AI with strategy so you can focus on closing what matters most.
Nordstrom's Director of Sales Operations was spending 15+ hours per week building manual reports. By the time leadership saw the numbers, deals had already moved — or died.
We connected via read-only API and scanned their entire Salesforce in 12 days. We delivered 47 findings across pipeline health, rep performance, and churn risk.
The critical insight: 3 early-warning churn patterns were hiding in their activity data that nobody was tracking. Accounts that stopped responding to emails within 14 days of renewal had a 73% churn probability. We also found that top channel ROI was being misattributed by 31% — marketing was investing in the wrong places.
With our dashboards and action plan, Nordstrom eliminated manual reporting entirely, implemented churn alerts, and re-allocated budget to their highest-performing channels. Decision time went from 2 weeks to same-day.