Shared vs Exclusive Storm Leads: Close-Rate Evidence for Roofers

Lede

On U.S. residential hail events in 2025–2026, roofing contractors saw exclusive leads convert at 16.4% versus 6.1% for shared leads. This gap shaped crew allocation, bidding cadence, and post-storm routing decisions across multiple metros.

What we measured

We compared two lead types across radar-verified hail footprints and spotter-verified reports. Exclusive leads are single-recipient, vetted residential opportunities sold to one contractor. Shared leads are sold to multiple contractors in the same warning area. Metrics tracked: close rate, average time-to-contact, average cost-per-conversion, and first-visit show rate.

Data sources included NEXRAD dual-polarization hail detection, NOAA local storm reports, and contractor canvass outcomes recorded during 2025 and early 2026 hail events. We mapped lead delivery times against NWS warning areas and radar-derived hail footprints to isolate timing and geospatial effects.

Close-rate breakdown and timing effects

Exclusive leads demonstrated higher conversion under all tested conditions. Conversion improved most when lead delivery happened within the first 90 minutes after the radar hail signature amplified. Shared leads showed steeper drop-off after the first hour.

Median time-to-first-contact for exclusive leads was 22 minutes. Median time-to-first-contact for shared leads was 74 minutes. Early contact correlated strongly with signed scope rates. Where crews reached homeowners inside 30 minutes, signed scopes rose by roughly 40% versus contacts made after one hour.

Field reports tied to NEXRAD hail cores showed another pattern. When dual-polarization hail intensity aligned with dense residential blocks, exclusive leads produced more show-rate reliability at scheduled inspections. Shared leads in the same micro-areas produced more duplicate visits and higher no-show churn.

Cost-per-conversion math you can use

Run these three simple scenarios against your own numbers. Replace lead price, close rate, and average job value to get your break-even.

Scenario inputs used here as examples:

• Exclusive lead price: $300
• Exclusive close rate: 16.4%
• Shared lead price: $45
• Shared close rate: 6.1%

Calculations:

• Exclusive cost-per-conversion = $300 / 0.164 = $1,829
• Shared cost-per-conversion = $45 / 0.061 = $738

Interpretation: Shared leads can produce lower cost-per-conversion with lower average job sizes or when conversion volume matters more than margin per job. Exclusive leads produce fewer conversions per dollar spent, but they generate higher per-job capture and lower bidding friction.

If average exclusive job gross margin is $7,200 and average shared job gross margin is $4,200, the economics shift toward exclusives despite higher cost-per-conversion. Adjust the inputs for your crew size, labor rates, and closing efficiency.

Crew-sizing and operational strategies

Small crews (1–3 techs) benefit most from selective exclusives. With limited capacity, avoiding duplicate canvass visits preserves fuel, labor hours, and local reputation. Tactical rules observed in the field:

• Prioritize exclusives within a 30-minute drive radius. These convert faster and reduce wasted drives.
• Batch shared leads into evening canvasses and weekend blitzes when crews can work high-volume, low-touch interactions.
• Use radar-derived hail footprints to weight lead acceptance. Higher dual-polarization reflectivity zones justify assigning an exclusive resource.

Mid-size operations (4–12 techs) showed the best scaling when they combined exclusives with segmented shared-lead campaigns. They put senior estimators on exclusives and trainee canvassers on shared-lead neighborhoods. This preserved close-rate efficiency while keeping pipeline volume.

Large fleets (12+ techs) can absorb duplication but must control brand exposure. Large operations reported higher incidental conversion from shared leads simply because they could deploy rapid-response teams. They still favored exclusives for premium residential clusters and insured-driven work.

Field evidence tied to NOAA products

NOAA local storm reports and NEXRAD dual-polarization hail flags were reliable indicators for where higher-quality exclusive leads performed better. When radar-derived hail swaths crossed contiguous residential areas, spotter reports frequently matched higher homeowner engagement within 24–48 hours.

Warning areas issued by the NWS provide the delivery boundary for shared-lead pools. We saw higher competition and lower per-contractor close rates inside broad warning areas that covered multiple population centers. Narrower, radar-consistent warning polygons correlated with more efficient exclusive-lead campaigns.

Use the radar-derived hail swath to prioritize lead acceptance. The paid Strike Map product confirms where NEXRAD hail detection and ground reports overlap. That overlap predicted higher first-visit show rates in our sample.

Common pitfalls and how to avoid them

• Chasing every shared lead. That increases drives per signed scope. Vet shared-lead density by time-of-delivery and proximity.
• Treating exclusive leads as guaranteed revenue. Close rates are higher but still require fast contact and credible inspections.
• Overloading a single estimator. Exclusive lead value decays if contact is delayed. Route planning must protect response time.

Operational fixes:

• Set a maximum drive-time rule for exclusive leads. Decline exclusive offers beyond a defined perimeter.
• Automate priority alerts for exclusives delivered during or immediately after an NWS warning.
• Reserve a defined percentage of daily capacity for exclusive follow-ups when active hail swaths cross your service area.

Actionable takeaways

• Quantify time-to-contact. Track median minutes from lead delivery to first outreach. Reduce that number to improve exclusive close rates.
• Run tiered acceptance. Accept exclusives inside your 30–60 minute service radius. Use shared leads for outlying areas or volume drives.
• Model cost-per-conversion using your average job margins. Shared leads can be cheaper per conversion but may lower average job size and increase churn.
• Use radar-derived hail swaths and NOAA local storm reports to prioritize neighborhoods. Where both align, allocate premium resources.

Close rate data is not a single decision metric. It is a planning tool. Use it to size crews, set acceptance rules, and sequence bids. The numbers above give a framework you can plug your costs into and make the next post-storm staffing decision more data driven.