Case Studies

iOS 14.5+ privacy changes wiped out 40% of their Facebook attribution data overnight. The brand was spending $200K/month on paid media with no reliable way to measure ROAS. Customer journeys were invisible — Shopify, Klaviyo, and Meta all told different stories. The marketing team was flying blind.

The operator was acquiring players through affiliate networks, programmatic DSPs, influencer partnerships, and SEO — but couldn't tie player lifetime value back to acquisition source. Cohort analysis was nonexistent. Marketing optimized for registrations and FTDs, not long-term depositing players. Meanwhile, bonus abuse was silently draining $50K+/month with no detection system in place.

The CS team only found out about churn when customers cancelled — no leading indicators, no usage visibility. Product usage data existed in event logs but nobody could query it. Expansion opportunities were missed because nobody knew which accounts were power users hitting plan limits.

Marketing couldn't prove ROI. Sales said the leads were garbage. The CRM had 50K+ contacts but no scoring, no source tracking past first touch, and no way to connect a closed deal back to the webinar, ad click, or content piece that started the conversation. Budget conversations were arguments, not analyses.

Transaction volumes were scaling past 500K/day but the analytics infrastructure wasn't keeping up. Fraud detection relied on static rules that generated 80%+ false positives. Merchant settlement reporting was manual, error-prone, and consistently late. The ops team was drowning.

HR and operations leaders were losing staff faster than they could hire, but they had no unified view of attrition risk. Data lived across the HRIS, ATS, payroll, and engagement surveys, each with different definitions and lagging reports. Leadership couldn't isolate why turnover spiked in specific departments or quantify the labor cost impact of backfills and overtime.