Overview
Sona's Intent Signals dashboard helps you monitor buying signals and identify high-intent prospects by analyzing visitor behavior, engagement patterns, and predictive buying stage progression. Track prospects showing strong purchase intent and optimize your sales outreach timing with data-driven insights.
When to use Intent Signals
When monitoring prospect engagement and buying behavior patterns.
To identify high-intent visitors requiring immediate sales attention.
To track predictive buying stage progression across your prospects.
When analyzing prospect engagement trends.
Prerequisites:
The Sona tracking pixel must be active on your website.
Access to the Intent Signals dashboard as part of your package.
Intent signal tracking configured and collecting data.
Predictive buying stage configuration, necessary for the predictive in-market dashboard.
CRM integration setup, optional but recommended for enhanced tracking.
Step 1: navigate to Intent Signals
Log into your Sona dashboard.
In the left sidebar, locate the Insights section.
Click Intent Signals.
You will see the main Intent Signals dashboard with key metrics and predictive stage analysis.
Step 2: set your date range
Use the date picker in the top section, showing last month by default.
Select your desired time period using the dropdown menu.
The dashboard will update to reflect your selected timeframe.
Use the Compare checkbox to compare with previous periods.
Step 3: understand the four key metric cards
High-Intent Visitors: review this metric card, which shows the count of visitors with intent scores. These are prospects showing the strongest buying signals and engagement patterns; focus sales attention on these high-scoring prospects.
Intent Score Average: monitor this percentage, which represents the average intent score across all tracked visitors. Use this metric to understand overall engagement quality trends, and compare across time periods to identify improving or declining engagement patterns.
Predictive Stage Change: review this metric, which shows active prospects and tracks how many are moving through buying stages. Active prospects indicate healthy pipeline progression; use this to monitor overall sales funnel health and momentum.
Last Engaged Count: check this metric, which shows prospects requiring attention and identifies contacts who may be cooling off or need follow-up. Use this as a trigger for re-engagement campaigns to prioritize outreach and prevent prospects from going cold.
Step 4: analyze the Predictive-In-Market visualization
Review the Predictive-In-Market bar chart visualization, which shows how prospects are distributed across buying stages:
Awareness: early-stage research and problem identification.
Consideration: active evaluation of solutions.
Decision: final vendor selection and negotiation.
Purchase: prospects who have made or are finalizing their purchase.
Step 5: use filtering and analysis options
Use the First Touch Channel Source filter to analyze prospects by acquisition channel.
Set the ICP Fit Score range using the "From" and "To" fields.
Click Apply to update the visualization with your selected filters.
Use these filters to focus on specific prospect segments or acquisition channels.
Key concepts and best practices
Understanding intent scoring:
High-Intent Scores: prospects showing strong buying signals through multiple engagement touchpoints.
Intent Score Average: baseline metric for overall prospect engagement quality.
Predictive Scoring: uses behavioral analysis to predict buying stage and purchase intent.
Signal Quality: recent and frequent engagement indicates higher purchase intent.
Buying stage intelligence:
Predictive Stages: algorithmically determined based on behavioral patterns.
Stage Progression: monitor how prospects move through awareness, consideration, decision, and purchase.
Active Prospects: contacts showing ongoing engagement and stage progression.
Stage-Based Outreach: tailor messaging and approach based on predictive buying stage.
Alert and action triggers:
High-priority actions:
Immediate outreach to visitors with high intent scores.
Re-engagement campaigns for prospects in the Last Engaged count.
Customized messaging based on predictive buying stage.
Follow-up scheduling based on engagement patterns and stage progression.
Monitoring alerts:
Declining intent score averages indicate waning engagement.
Increasing Last Engaged counts suggest prospects are cooling off.
Stagnant predictive stage progression indicates pipeline concerns.
Unusual buying stage distribution patterns require investigation.
FAQs
What does the Intent Signals dashboard show?
What does the Intent Signals dashboard show?
The Intent Signals dashboard shows High-Intent Visitors, Intent Score Average, Predictive Stage Change, and Last Engaged Count, plus a Predictive-In-Market chart showing how prospects distribute across the Awareness, Consideration, Decision, and Purchase buying stages.
What should I do when the Last Engaged Count rises?
What should I do when the Last Engaged Count rises?
A rising Last Engaged Count signals contacts who may be cooling off or need follow-up. Use it as a trigger for re-engagement campaigns and prioritize outreach to these prospects before they go cold.
How do I focus the Predictive-In-Market chart on a specific segment?
How do I focus the Predictive-In-Market chart on a specific segment?
Use the First Touch Channel Source filter to analyze prospects by acquisition channel, and set an ICP Fit Score range with the From and To fields. Click Apply to update the visualization to only the segment you have filtered for.