Lead Prioritization

Your reps aren't missing quota because of bad leads. They're working the wrong ones first.

HG Insights surfaces exactly which accounts your reps should call first, so effort concentrates where pipeline is most likely to close.

See How It Works

Revenue teams that got their reps focused

40%

Trial-to-paid conversion increase after switching to multi-signal prioritization

More qualified opportunities with a ranked queue

Best month ever in meetings booked, within 30 days

Hours to minutes

Time to build a prioritized account list

The issue isn't your lead volume. It's the order your reps work it.

Most lead queues are sorted by score threshold, not by actual likelihood to close. Reps burn time on accounts that technically qualified but aren't ready, while the accounts most likely to buy sit untouched. The pipeline doesn't reflect MQL volume because the sequencing is wrong from the start.

Three signals. One clear call order.

HG Insights layers fit, intent, and CRM-ready scoring so reps always know exactly who to call next.

Customer Fit Model

Know which accounts look most like your closed-won customers. Built from your own data across firmographic, technographic, and behavioral signals so fit scores reflect your actual ICP, not a generic template.

Likelihood to Buy Model

Predicts active in-market behavior with scores refreshed continuously so reps never act on stale signals. Go beyond threshold-based scoring to a dynamic model that reflects what accounts are doing right now.

Lead Grade in CRM

See an A through D grade for every lead directly in Salesforce. Four fields. Explainable scoring your reps can understand and act on immediately, without learning a new tool or leaving their current workflow.

What revenue teams are saying

We used to spend hours building our target list every week. With HG Insights, we have a prioritized account queue ready in minutes. Our reps are calling the right accounts, and it's showing up in pipeline.

Ryan Kelly

VP of Growth Marketing, Cockroach Labs

Within 30 days of using HG Insights to prioritize our outreach, we had our best month ever for meetings booked. The data gave our SDRs a clear path to the accounts that were actually ready to talk.

Brett Rizzo

Sales Development Leader, OutSystems

Frequently Asked Questions

We already use 6sense and ZoomInfo. Why do we need HG Insights? +

Intent tools show you who might be interested. HG Insights tells your reps who to call first. It's not a replacement for your existing tech stack. It's the prioritization layer that sits on top of it, taking all those signals and turning them into an ordered queue your reps can actually act on.

Our MAP already does lead scoring. What's different? +

MAP-native scoring typically uses behavioral activity and demographic fields, but rarely accounts for whether an account actually looks like your closed-won customers. HG Insights builds its model from your actual closed-won data, layering in technographic signals that MAP tools don't have. MarketMuse doubled qualified opportunities by making this shift.

How long does it take to see results? +

Most customers see meaningful changes in rep behavior within the first few weeks, once reps have the grade visible in Salesforce and understand how to use it. OutSystems had their best month ever for meetings booked within 30 days of going live.

Will my reps actually use it? +

The scoring shows up directly in Salesforce as an A through D grade with a clear explanation reps can act on immediately. There's no new tool to log into. Chartio cited explainability as a key driver of adoption: when reps understand why an account is an A, they trust the score and follow it.

Do we need a CRM integration for this to work? +

Salesforce is the primary integration for surfacing lead grades. The implementation adds four fields to your existing Salesforce records, so there's no workflow disruption. If your team uses a different CRM, ask us about available options during your demo.

What if we don't have enough customer data to build a fit model? +

A minimum of 50 closed-won accounts gives us enough signal to build a meaningful fit model. If you're below that threshold, we'll walk you through what's possible in your demo and help you determine the right path forward based on your current data.

See which of your current leads should be called first.

Book a 30-minute session and we'll show you how the scoring model works against your actual inbound data.

Book a Demo