Protect sales capacity from incomplete, duplicated, low-fit, and poorly prioritized leads.
Normalize, enrich, score, and filter incoming records so sales effort is directed toward leads with the strongest fit and intent.
Protect sales capacity from incomplete, duplicated, low-fit, and poorly prioritized leads.
Designed for
Revenue teams receiving leads from multiple sources that vary in completeness, quality, purchase intent, and strategic value.
High-fit opportunities compete with spam, duplicates, students, vendors, and records outside the target market.
Sales cannot quickly understand company fit, role, location, need, source context, or previous engagement.
Existing scoring is opaque, stale, or based on activity that does not correlate with a useful sales action.
The underlying leak
Adding data does not help unless the team agrees which attributes and behaviors change priority, what evidence is sufficiently fresh, and how each score affects routing and follow-up.
How the service closes it
We standardize records, resolve duplicates, enrich only decision-relevant gaps, define explainable fit and intent rules, and route each score band into the appropriate next step.
A profile of source quality, missingness, duplication, invalid values, coverage gaps, and the fields that genuinely affect decisions.
Provider selection, field mapping, confidence rules, fit and intent weights, exclusions, decay, and score explanations.
Queue logic, ownership, service levels, exception handling, and sales feedback that keeps the model useful over time.
Expected time to value: First scoring model in 2–5 weeks
Review the current lead enrichment, scoring & filtering setup, baseline performance, data quality, ownership, and technical constraints.
Build the prioritized lead enrichment, scoring & filtering improvements with documented configuration, quality assurance, and clear responsibilities.
Test the complete journey, measure early results, resolve defects, and hand over a practical operating playbook.
The strongest opportunities surface first with enough context for a relevant response.
Duplicates, invalid records, weak fits, and missing context are handled consistently before they distort reporting.
Scope depends on lead volume, number of sources, target-customer complexity, enrichment coverage, scoring sophistication, and downstream routing rules.
Yes. We normally retain the existing CRM and lead sources, then add a controlled qualification layer where it creates the most leverage.
Stop treating every prospect equally when buying signals already show who deserves attention first.
Turn Audience Lab, SoftLeads, and other intent signals into prioritized prospect segments and controlled acquisition workflows.
Replace fragile handoffs and manual reminders with a visible, accountable revenue workflow.
Connect lead capture, qualification, ownership, follow-up, and reporting so opportunities move without disappearing between tools or teams.
Preserve buying intent after the form, call, or booking instead of letting slow and inconsistent follow-up erase demand.
Create fast, multi-step follow-up from first inquiry through booked appointment, reminders, no-show recovery, and sales ownership.
Protect sales capacity from incomplete, duplicated, low-fit, and poorly prioritized leads.
Plain-English notes on missed calls, faster follow-up, reviews, AI answering, and small fixes that help service businesses book more jobs.