Layer 1: data architecture
We evaluated duplicate contacts and companies, missing ownership, lifecycle inconsistencies, incomplete records, invalid values, unused properties, conflicting fields and integration-generated records. Roughly 18% of active contact records carried meaningful data-quality issues.
Layer 2: lifecycle and pipeline
Reconstructing how prospects moved through the system uncovered one of the largest problems. Marketing lifecycle stages and sales pipeline stages had been developed independently, so a lead could appear qualified to marketing while appearing unqualified or inactive to sales.
Layer 3: pipeline integrity
We audited every active opportunity against time in stage, last activity, next activity, amount, close date, probability, contact association, owner and source.
A large share of pipeline value sat in opportunities with no meaningful sales activity for weeks. More than $600,000 required immediate validation, re-engagement or closure. Leadership had been forecasting from it.
Layer 4: automation
Every active workflow was documented and sorted into critical, useful, redundant, conflicting and deprecated. Several old workflows were still writing to properties that newer workflows depended on. One lifecycle property could be changed by three different automation paths.
Layer 5: reporting and attribution
Attribution was unreliable. Several lead sources were being overwritten when representatives updated records manually, which meant campaigns that were generating opportunities looked less effective than they were.
Layer 6: adoption and governance
Nobody owned CRM governance. Marketing owned forms. Sales operations owned pipelines. IT owned integrations. Sales managers created properties. No one controlled the architecture as a whole.
What the audit produced
Seventeen significant operational or revenue leaks, grouped by severity: critical for immediate revenue or reporting impact, high for significant operational risk, medium for efficiency and data quality, low for optimization. Instead of a hundred-item recommendation document, the deliverable was a 90-day remediation roadmap.
17leaks identified and ranked
$600K+pipeline requiring immediate action
18%of active contacts with data-quality issues
Why it worked
An audit should not just list what is technically wrong. It should answer four questions: where are we losing revenue, where are we losing time, what data can we not trust, and what should we fix first.
That is the difference between a CRM checklist and a CRM audit.