Analytics
Use analytics to track validation results, identify issues, and measure data health over time.
Metrics
Metrics are measurable indicators used to track the quality, performance, and changes in your data over time.
You can view overall usage metrics on the Data Pulse homepage and account-specific metrics on the account overview page.
Metric Change Indicators
Metrics display change indicators to show how values have shifted over time:
Since this week — Indicates the change in a metric during the current week, representing either an increase or decrease compared to the overall (lifetime) total.
Daily (resets every day) — Indicates the change in a metric within the current day, relative to the overall (lifetime) total. Resets at the start of each day.
Metrics Reference
Active Accounts
Number of connected data sources currently active in Data Pulse
Indicates how many sources are actively being monitored and how this has changed over the last week
Since this week
Contacts Monitored
Total number of contacts processed and monitored for validation
Higher numbers indicate increased data activity and system usage
Since this week
Bad Fields
Number of fields identified as invalid or low quality
Helps assess overall data quality; higher values indicate potential issues in incoming data
Since this week
Enriched Today
Number of contacts enriched on the current day
Shows real-time enrichment activity and daily system usage
Daily (resets every day)
Estimated cost saved from validation
Reflects ROI by preventing wasted outreach on invalid data
Since this week
Deliverability Rate
Percentage of email contacts that are valid and guaranteed to reach the recipient's inbox
Indicates overall email data quality; lower values suggest potential validity issues
Based on selected date filter
Invalid Rate
Percentage of contacts identified as invalid based on email, phone, or name validation
Indicates the proportion of poor-quality data; higher values suggest issues in data collection
Based on selected date filter
Insights
Insights in Data Pulse interpret data quality metrics to identify trends, detect issues, and highlight opportunities to improve email, phone, and name accuracy.
Insight Categories
Validation Insights — Highlight issues in your data quality by focusing on invalid, risky, or unreliable data such as disposable emails or unverified contacts. These help you understand what is negatively impacting your data accuracy and deliverability.
Growth Insights — Show how your data is evolving over time by tracking improvements or gaps such as increasing contact quality, better field coverage, or missing data needed for outreach.
Actionable Insights — Point to specific problems that need immediate attention, identifying clear issues like poor data sources or risky inputs, with direct recommended actions to fix them.
Educational Insights — Help you understand your data and best practices by explaining why certain actions matter and guiding you on how to maintain good data quality and performance.
Insights Reference
Growth
Low Business Email Coverage
A significant portion of your contacts do not have business email addresses, limiting effective B2B targeting and outreach.
Use Email Finder to enrich contacts with business email addresses.
Validation
Disposable Emails Detected
A portion of your contacts are using disposable email addresses, reducing data reliability and engagement quality.
Block disposable emails at the point of capture using Form Guard.
Actionable
Poor Quality Source Detected
One or more data sources are introducing low-quality contacts into your system, impacting overall accuracy and reliability.
Audit the identified source and validate contact data before ingestion.
Educational
Discover New Contacts
Prospecting helps you discover new companies and contacts that match your ideal customer profile, enabling pipeline growth.
Start prospecting to find new contacts and expand your outreach opportunities.
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