Data Audit & Data Management

Connects data completeness directly to sales effectiveness and qualification outcomes.

Ask

Interpret

Plan

Review

Approve

Verify

Execute

Compose

Present

Analyzed 141,670 contacts to quantify phone-number completeness and its correlation with engagement and qualification status.

DATA SOURCE

Salesforce

HubSpot

Uncover the Right Questions

The request asked Petavue to measure phone-number completeness, break missing data down by contact source, and evaluate whether missing phone numbers correlate with low engagement or unqualified outcomes.Petavue interprets the intent behind the question—understanding how contactability gaps influence sales effectiveness and lead progression.

How many contacts don’t have a phone number filled and does that differ by source (inbound, import, outbound)? also maybe check if there’s any correlation between missing phone and low

Interpret

Plan

Craft the Plan

Petavue translates the request into a structured analytical plan.It selects the Salesforce Contacts table and identifies relevant fields, including phone number, contact source, engagement metrics (calls, emails, meetings), and qualification status.Petavue defines how phone completeness will be calculated, how engagement levels will be bucketed, and how correlations between missing phone data and downstream outcomes will be evaluated.

Review

Approve

Confirm the Approach

Before execution, Petavue presents the plan in clear, non-technical language.It outlines the completeness logic, engagement thresholds, and correlation approach—ensuring stakeholders agree on how phone data gaps and engagement signals will be interpreted.

Verify

Execute

Ensure Accurate Execution

Petavue runs the approved analysis across the full Salesforce dataset.It classifies contacts with filled vs. missing phone numbers, segments them by source, and compares engagement and qualification outcomes across groups.All results are computed at the row level, ensuring accuracy with no sampling or approximations.

Compose

Present

Surface the Insights

Petavue presents the findings as actionable insights.It highlights which sources contribute the most to missing phone data, quantifies engagement drop-offs linked to missing phone numbers, and surfaces patterns such as imported contacts with persistently low outreach and qualification rates.The result is a prioritized view of where improving contact data can unlock better GTM outcomes.

The Outcome

Petavue analyzed 141,670 Salesforce contacts to assess phone-number completeness and understand how missing contactability impacts engagement and qualification. By segmenting contacts by source and correlating phone presence with engagement activity and qualification status, Petavue revealed where data gaps are concentrated and how they directly affect funnel performance.

Source-Level Gaps

‍Identified inbound vs. outbound vs. imported sources with the highest phone-number incompleteness.

Engagement Correlation

‍Contacts without phone numbers showed consistently lower engagement across calls and meetings.

Funnel Impact

‍Revealed a strong association between missing phone data and unqualified or stalled contacts.

FAQs

For any further questions, send us a message at support@petavue.com

How is a “missing phone number” defined?

Contacts where all phone-related fields are null or empty at the time of analysis.

What engagement metrics are included?

Calls, emails, meetings, and logged sales activities.

Does this prove causation or correlation?

The analysis identifies correlation, not causation—but clearly highlights where missing data aligns with poor outcomes.

Can this be segmented further?

Yes. Results can be broken down by owner, team, region, or lifecycle stage.

Can this analysis be tracked over time?

Yes. Petavue can rerun this analysis periodically to measure improvements after cleanup.