TruSQL™ Scoring
TruSQL is Rover Insights' proprietary 0–100 lead scoring system that combines call lead quality, worth up to 60 points, with digital engagement, worth up to 40, into a single, explainable score. Your rep sees exactly why each lead scored high or low, with AI-generated next steps.
Five Steps to a Score You Can Trust
Your rep opens a new lead. She sees a score of 84. Below it, three sentences explain exactly why: ICP match, buying timeline under 6 months, and strong positive sentiment from last week's call. Here's how that score got there.
Define Your ICP
You tell Rover Insights what your ideal buyer looks like: target job titles, company sizes, industries, and product needs. This becomes the anchor for company-size fit and role scoring inside call lead quality, the larger half of TruSQL at up to 60 points.
Conversation Happens
The Rover Insights CDR team conducts a 6–12 minute phone conversation with the prospect. They capture pain points, feature needs, buying timeline, budget availability, current solution satisfaction, and decision-maker role.
AI Analyzes the Call
An AI workflow processes the full call transcript. It extracts structured data: sentiment analysis, buying signals, competitive intelligence, and feature priorities categorized as High, Medium, or Low importance.
Score Generates
TruSQL combines two halves into a 0–100 composite: call lead quality contributes up to 60 points and digital engagement contributes up to 40. The score updates with each new conversation, so it reflects the latest reality.
Rep Gets Context
Your rep opens the lead and sees the score, a plain-English explanation of why it scored that way, and AI-generated recommended next steps. No guessing. No black box. They know exactly what to say on the first call.
Two Halves.
Fully Transparent.
Call Lead Quality
What the prospect said when somebody asked them. The stated buying timeline, the person's role in the buying decision, company-size fit against your profile, and the substance of the conversation itself. A Director of HR at a 500-employee company who says "we need to switch by Q3" scores differently than a junior analyst who might look next year.
What Feeds This Half
- •Stated buying timeline (Immediately to 24+ months)
- •Role in the buying decision and management level
- •Company-size fit (11 tiers from 4 to 10,000+)
- •Substance of the conversation and pain point intensity
- •Current solution satisfaction and demo interest
Digital Engagement
What the same person reads, attends and clicks across the community, accumulated over months rather than captured in one session. It is a genuinely separate axis: across 9,046 people carrying both scores, the correlation between the two halves is 0.048, which is the measured reason both layers exist.
What Feeds This Half
- •Content and whitepaper interactions
- •Webinar registrations and attendance
- •Email opens and clicks
- •Article and asset reads over time
- •Engagement recency and depth
What Your Rep Actually Sees
A number alone doesn't close deals. Context does.
TruSQL Score
Why This Score
“This lead scored 84 because they match your ICP (Director of HR, 800 employees, evaluating HRMS), expressed urgency during their call with a buying timeline under 6 months, and rated their current solution 2 out of 5.”
Recommended Next Steps
- →Lead with their top pain point: reporting limitations
- →Reference their 6-month timeline and budget readiness
- →Offer a focused demo on the analytics module they mentioned
Not a Black Box
Most lead scores are a single number with no explanation. TruSQL shows the full breakdown. Your rep knows this lead scored 84 because of ICP match, not just that they "seem interested." When reps trust the score, they act on it faster.
Dynamic, Not Static
TruSQL scores update with every new conversation. A prospect who was lukewarm in January but frustrated with their current vendor in April reflects that change. Static intent scores from three months ago miss the shift.
Built From Conversations
Intent data platforms score behavior: page views, downloads, ad clicks. TruSQL scores what buyers actually say during 6–12 minute phone calls. Pain points, budgets, timelines, competitor mentions. First-party data from real conversations, not third-party web behavior.
Actionable Next Steps
Every scored lead comes with AI-generated recommended next steps. Not generic "follow up soon." Specific guidance: lead with their top pain point, reference their timeline, offer the demo module they asked about. Your rep picks up the phone prepared.
What the Numbers Mean
Color-coded urgency so your team prioritizes the right conversations first. Every score comes with context your rep can act on.
High ICP match, strong buying signals, positive call sentiment. Your rep should prioritize these leads. Each one arrives with verified ICP fit, stated buying intent, and positive call engagement.
Recommended Action
Prioritize outreach within 24 hours
Partial ICP match or mixed signals. The prospect might fit your profile but has a longer timeline, or they are in-market but at a company slightly outside your sweet spot. Worth working, but not top priority.
Recommended Action
Add to nurture sequence, revisit after next call
Low ICP match, minimal buying signals, or negative sentiment. These leads either don't match your target profile or aren't in a buying cycle. Rover still delivers them with full context so you can make the call.
Recommended Action
Deprioritize or exclude from active outreach