Sound familiar?
When pipeline and revenue stop agreeing
Pipeline forecast never matches closed revenue
Reps mark deals 80% likely that close at 20%. Forecast accuracy sits below 65% and board presentations begin with credibility questions.
Sales and marketing disagree every single Monday
Marketing counts leads generated. Sales counts qualified conversations. Neither team agrees on what a good lead looks like. The argument repeats every week.
Reps spend more time on admin than selling
Data entry, activity logging, follow-up scheduling. 35 to 45 percent of every rep week lost to tasks that could be automated -- but nobody has fixed it.
No visibility into which campaigns drive revenue
Marketing can report leads and CPL. Nobody can show which campaign produced a deal that closed. Attribution stops at lead creation.
CRM stage definitions mean different things to different reps
One rep moves to proposal at verbal interest. Another waits for a signed NDA. Pipeline data is meaningless when stage definitions are unenforced.
Churn discovered after the customer has already decided
Customer health is assessed quarterly and manually. By the time a risk flag appears, the customer made their decision weeks ago.
Why this happens
"The problem is never effort. It is always the same three things -- bad data, broken handoffs, and a CRM that does not reflect how the business actually sells."
Revenue leakage is systematic, not random. When we audit failing pipelines, the root cause traces back to one or more of three structural problems: a data model that does not match the real sales process, a handoff between marketing and sales with no agreed definition or SLA, or forecast discipline that has never been enforced as a process. Fixing effort without fixing the system produces no lasting change.
The Celumai approach
How we close the gap between pipeline and revenue
What we use to fix this
The services we combine to fix revenue leakage
No single service fixes a revenue problem. We combine the right capabilities in the right sequence.
The transformation
Before & after working with Celumai
"Pipeline-to-revenue accuracy went from 58% to 84% in 11 weeks. The board stopped questioning the forecast the month after go-live."
How we recovered GBP2.1M in stalled pipeline for a SaaS company
Pipeline had grown to 4x target but conversion was declining. We identified broken stage definitions, a missing qualification handoff, and 34% duplicate contact rate as the combined cause.
FAQ
Questions answered
Everything you need to know about solving this problem.
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