The 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 This / Prerequisites
When to Use This / Prerequisites
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-by-Step Instructions
Step-by-Step Instructions
A. Accessing and Understanding the Dashboard
A. Accessing and Understanding the Dashboard
Step 1: Navigate to Intent Signals
Log into your Sona dashboard
In the left sidebar, locate the Insights section
Click on Intent Signals
You'll 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
B. Understanding the Four Key Metric Cards
B. Understanding the Four Key Metric Cards
Step 3: High-Intent Visitors
Review the High-Intent Visitors metric card
This 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
Step 4: Intent Score Average
Monitor the Intent Score Average percentage
This represents the average intent score across all tracked visitors
Use this metric to understand overall engagement quality trends
Compare across time periods to identify improving or declining engagement patterns
Step 5: Predictive Stage Change
Review Predictive Stage Change showing active prospects
This metric tracks how many prospects are moving through buying stages
Active prospects indicate healthy pipeline progression
Use this to monitor overall sales funnel health and momentum
Step 6: Last Engaged Count
Check the Last Engaged Count metric showing prospects requiring attention
This identifies contacts who may be cooling off or need follow-up
Use this as a trigger for re-engagement campaigns
Prioritize outreach to prevent prospects from going cold
C. Analyzing the Predictive-In-Market Visualization
C. Analyzing the Predictive-In-Market Visualization
Step 7: Understanding Buying Stage Distribution
Review the Predictive-In-Market bar chart visualization
This 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 8: Filtering and Analysis Options
Use the First Touch Channel Source filter to analyze prospects by acquisition channel
Set 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 / Best Practices
Key Concepts / 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 "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 warning engagement
Increasing last engaged counts suggesting prospects cooling off
Stagnant predictive stage progression indicating pipeline concerns
Unusual buying stage distribution patterns requiring investigation