From 8% CTOR to 31% in 90 days. That was the result for a mid-market B2C retailer after we dismantled what they thought was a content problem and found an architecture problem instead. Across 50 implementations, click-to-open rate optimization CTOR is consistently the metric that separates email programs that generate revenue from ones that generate […]

Last quarter, a SaaS client discovered that 68% of their churned accounts had shown a measurable drop in feature usage 47 days before cancellation. Their CRM had the data the entire time. No one was looking at it in a structured way. This is the pattern I see repeatedly with mid-market B2B companies: the early […]

Last quarter I audited a Salesforce instance with 412,000 contact records. Around 38% had a job title field, 22% had a usable phone number, and roughly 9% carried any firmographic data beyond company name. The marketing team was still segmenting campaigns off this. Predictably, open rates sat at 11% and SQL conversion hovered near 0.7%. […]

The ABM programs that fail rarely fail because of bad creative or weak targeting. They fail because the underlying CRM cannot answer a basic question: which 200 accounts are we actually working, who at each account is engaged, and what happened in the last 14 days? When that question takes a RevOps analyst three hours […]

Last quarter I reviewed the CLV models of seven B2B SaaS companies between €5M and €40M ARR. Five of them were still using the textbook formula (average revenue × gross margin × average customer lifespan) and treating the output as a single number per segment. The other two had moved to cohort-based contractual models, and […]

Across the B2B SaaS and industrial accounts we’ve worked with over the past three years, dormant high-value customers respond to win-back sequences at rates between 12% and 18% when the program is built around behavioral signals rather than calendar triggers. The accounts that come back tend to share three characteristics: they had at least 90 […]