Watch how Petavue builds and runs this workflow — validating fields, generating the plan, and producing insights in minutes.
The request asked Petavue to measure overall lead-status completion, identify where data was missing, and break down the gaps by HubSpot Team and Original Source.
Petavue first interprets the intent behind the question—understanding what needs to be answered and why it matters for GTM decision-making.
Petavue translates the request into a structured analytical plan.
It selects the relevant HubSpot Contacts table and determines the fields needed for the audit (lead status, lifecycle stage, team assignment, source data).
Petavue then outlines how the analysis will run—what will be counted, how missing vs. filled values will be classified, and how each segment (overall, team, source) will be compared.
Before executing anything, Petavue presents the plan back in plain language so users can validate the methodology.
It shows the exact breakdown logic, aggregation steps, and completeness scoring approach—ensuring the user agrees with how Petavue intends to audit and segment the data.
Petavue runs the validated steps on the connected HubSpot data.
It applies the grouping logic, computes filled vs. missing statuses for each segment, identifies patterns, and verifies row-level accuracy.
This stage ensures the analysis reflects the true state of CRM data with no sampling or approximations.
Finally, Petavue translates the executed analysis into actionable insights.
It highlights where completeness is strong or weak, ranks teams and sources by missing-data severity, and surfaces clusters of records needing remediation. The result is a clear, prioritized view of where operational improvements can have the biggest impact.
Petavue analyzed all 124,150 HubSpot contacts to quantify lead-status completeness and pinpoint exactly which teams and sources were driving the gaps. The result: a clear, validated view of data quality and where to focus cleanup.
Gap Drivers
Identified the exact teams and traffic sources contributing to missing lead-status data.
Data Issues
Surfaced high-volume issues such as unassigned contacts and inconsistent source completeness.
Decision Impact
Gave GTM teams a verified foundation for funnel reporting and operational decisions.
