A synthetic 12-month, 9-channel cohort dataset run through the AARRR-RARRA engine surfaces a real gap in its own Health Score: a channel that has never run a referral program and a channel whose referral program is actively failing land on the exact same score, every month, because the tool has no way to tell 'not tried' from 'tried and broken.'
A synthetic 102-customer dataset run through the CLV-NPS engine surfaces a real limitation in acquisition-cost-based risk scoring: 21 customers holding over half of total lifetime value can never be flagged at-risk, because the flag's own math is undefined for anyone acquired for free.
A synthetic 12-month, 9-channel campaign dataset run through the RACE funnel engine surfaces which channels are burning budget without converting — and which overlooked channels are returning the highest yield per dollar.
A synthetic 104-customer dataset run through the RFM engine surfaces a real limitation in composite-score segmentation: twelve high-value customers labeled Loyal, holding more than a third of total revenue, silent for 9 to 15 months, and never flagged as at-risk.