The company had built a 12-person outbound team and invested in the full modern sales stack. On paper, the inputs looked right. In practice, pipeline quality was deteriorating and CAC had climbed 40% year-over-year, despite headcount staying flat.
The root cause wasn't effort. It was targeting. Their ICP definition had been written at seed stage, never revisited, and bore little resemblance to who was actually buying and staying.
We pulled 18 months of closed-won and closed-lost data and ran it through a structured attribute analysis. Rather than asking "who do we want to sell to," we asked "who actually buys, expands, and stays." The patterns were clear and almost none of them matched the existing ICP doc.
18 months of data analyzedWe built a predictive scoring model layering firmographic data (size, vertical, tech stack) with behavioral signals (job posting velocity, leadership changes, funding recency) and third-party intent data. Accounts were tiered into three priority bands, and only Tier 1 and 2 entered the sequence.
3-layer scoring modelEvery outbound sequence was scrapped and rewritten from scratch. New copy was grounded in the specific pain points, buying triggers, and language patterns we identified during the ICP audit. Sequences were persona-specific: VP of Revenue got a different story than Director of Operations, even at the same account.
Persona-specific messagingWe cleaned 14 months of corrupted pipeline data, implemented a new lead source taxonomy, and built attribution logic that actually tracked where revenue was originating. For the first time, the team could see which channels, sequences, and account tiers were driving CAC, and act on it in real time.
Full attribution visibilityAll metrics tracked against the 60-day period immediately preceding the engagement. No cherry-picking. No attribution gaps.
We'd tried to fix our pipeline problem three times in two years. More reps, better tools, new sequences and nothing moved the needle because we were treating the symptom, not the cause. zRev was the first team that made us sit with the data and admit our ICP was wrong. Within six weeks of launching the new scoring model and sequences, our reps were having better conversations than they'd had in 18 months. The 20% CAC reduction was the outcome, but the real shift was the team finally believing in the pipeline they were working.
Most B2B sales teams are one ICP audit away from a fundamentally different pipeline. If you're seeing the same patterns of rising CAC, declining reply rates, and reps chasing accounts that never close. We can diagnose the root cause and build a system that fixes it. Results typically surface within the first 60 days.
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