Size-based segments miss buying signals. AI discovers expansion-ready accounts based on usage patterns, team growth, and feature adoption—increasing NRR by 22%.
Your "Small" segment contains power users hitting limits. Your "Enterprise" segment includes dormant accounts. Size-based targeting leaves money on the table.
High-usage customers in "Small" segments are ignored while they're desperately trying to give you more money.
You're chasing dormant enterprise accounts while missing small teams growing 300% quarter-over-quarter.
By the time sales reaches out, frustrated users have already found workarounds or started evaluating competitors.
Scoop's AI analyzes usage patterns, team growth, feature adoption, and dozens of other signals to identify expansion opportunities your segmentation misses.
Find opportunities traditional segmentation completely misses
Turn hidden signals into measurable revenue growth
Reach out when accounts are ready to buy, not before
"We found 47 'Small' accounts using our platform like Enterprise customers. They were hitting API limits daily but we never knew. That's $2.8M in immediate expansion opportunities we were ignoring."
— VP Customer Success, B2B SaaS Platform
"AI discovered that accounts adding 3+ users in a month expand at 73% rate. We built a trigger campaign around this insight and our expansion revenue is up 31% this quarter."
— Director of Revenue Operations, MarTech Company
While finding hidden revenue, Scoop also prevents churn and builds trust through transparency.
AI discovers hidden patterns that predict churn long before traditional health scores. Know who's at risk and exactly why, with clear explanations and proven intervention strategies.
Learn about churn prevention →Stop saying "I'll check" when scores drop. AI provides transparent, business-friendly explanations for every change. Build credibility by showing exactly why metrics move.
See transparent scoring →Connect your data and discover expansion opportunities in 5 minutes. No SQL, no data team, no complex setup.