Signals
Signals represent the digital engagement markers that a contact (or group of contacts) accumulates from various interactions, such as:
Article Views: Which articles they read or clicked on, and how recently
Gated Asset Access: Any reports or premium content they downloaded or requested
Topic Engagement: The specific topics a contact frequently interacts with, measured by both recency and intensity
By aggregating these data points, Signals creates a comprehensive picture of each contact’s behavior, helping you see patterns and prioritize your outreach.
Key Components of Signals
Timeline View
Displays each interaction as an event on a chronological line (“2 Months Ago,” “3 Weeks Ago,” etc.).
Allows you to spot spikes in activity (e.g., a contact viewing multiple articles on “cybersecurity” in one week).
Scatter Plot (Strength vs. Recency)
Strength: Indicates how strongly a contact engages with a particular topic, factoring in frequency and depth of interaction.
Recency: Measures how recently that engagement occurred—more recent interactions appear to the right, older ones to the left.
Quick Prioritization: By visualizing which topics have the highest strength and most recent activity, you can quickly identify which topics are “heating up” for a given contact.
Topic List & Scores
Below the scatter plot, a table typically lists the Topic alongside its Strength and Recency.
This provides a structured way to see exactly which topics the contact cares about most, and when they last engaged.
Signals Tabs & Subsections
Activity: A quick snapshot of the overall timeline (articles viewed, assets downloaded).
XX Signals: The main signals dashboard, showing deeper insights via visuals and topic tables.
Articles, Gated Assets: Links to see exactly which pieces of content the contact has engaged with, bridging the gap between raw data (signals) and actionable items (content marketing, sales outreach).
Why Signals Matters (Higher-Tier Benefits)
Advanced Personalization
With direct visibility into which topics and which content types a contact engages with most, your outreach can be tailored to match their current interests.
High-value contacts who suddenly spike in reading about “federal retirement planning” or “AI modernization” become prime targets for timely follow-ups.
Trend Tracking
Signals aren’t just about single points in time. By looking at the timeline or scatter plot, you can observe changing interests.
This is especially useful for noticing if a contact shifts from one policy area to another, or starts exploring new topics (e.g., from “labor policy” to “cybersecurity frameworks”).
Opportunity & Risk Identification
Opportunity: A contact with consistently high engagement in a topic might be a good candidate for a specialized event invite, product offering, or policy briefing.
Risk: If signals show a drop-off in engagement or a shift away from your solutions’ key topics, you can intervene to re-engage that contact.
Deeper Reporting & Analytics
Higher-tier users often benefit from customizable dashboards and advanced reporting on Signals metrics—like top 10 trending topics across your contact base, or average engagement recency across different segments.
This data can drive strategic decisions (e.g., launching a new product line or content series) based on real-time interest patterns.
Typical Signals Use Cases
Sales & Business Development
Quickly see which topics a prospect is focusing on, aligning your pitch or outreach with their current interests.
Prepare for calls or demos by reviewing the contact’s most recent signals—e.g., “They’ve viewed 3 articles on zero-trust architecture in the last week.”
Marketing & Campaign Strategy
Target campaigns or email newsletters to segments of contacts who have demonstrated strong, recent interest in certain policy areas.
Identify cross-sell or upsell opportunities by noticing if a contact’s signals expand into new, adjacent topics.
Account Management & Customer Success
Monitor signals to gauge existing clients’ evolving needs or concerns. If an agency contact shifts interest from “compliance” topics to “automation and AI,” you can proactively share resources or suggestions.
Research & Policy Analysis
Track which federal policy areas are gaining traction among your community.
Use aggregated signals data to produce insights on trending concerns across multiple agencies or user groups.
Best Practices
Regularly Check Signals for High-Value Contacts
Make it a habit to review the signal timeline and scatter plot weekly or monthly for top-tier contacts.
Identify new spikes, and act on them promptly.
Leverage Sorting & Filtering
Filter by date range, or sort topics by descending strength to highlight a contact’s top priorities.
Combine these filters with your Contact Groups to see how entire segments are shifting in real time.
Integrate Signals with Other Workflows
If your CRM or marketing automation tool integrates with GovTribe, sync the signals data to unify your contact intelligence.
Tag or annotate contact records with signals summaries (e.g., “High interest in cloud migration last 30 days”) for quick reference.
Stay Alert for Sudden Changes
A big jump in recency could mean your contact is actively researching a topic—perfect timing to offer help or a relevant resource.
A sharp decline in engagement could signal waning interest—consider re-engagement strategies.
Frequently Asked Questions (Signals)
Do I need special access to see Signals?
Yes. Signals is typically a premium or higher-tier feature in GovTribe. Contact your admin or GovTribe support to upgrade your subscription level.
How often are Signals updated?
Signals are usually updated in near real-time, depending on system synchronization. Significant new interactions (e.g., article views) should appear within a few hours at most.
Can I manually override or adjust Strength/Recency?
Not at this time. Strength and recency are system-calculated based on ML-driven engagement tracking.
Are Signals shared across my entire organization?
Typically, yes—co-workers with the same GovTribe tier can see the same contact signals. However, role-based access controls might limit some users to partial views.
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