Warm Data Reactivation
Teams re-engage older inquiries with compliant outreach cadences, new offer messaging, and preference-based contact windows.

Aged Leads Database
Access pre-qualified historical lead records for multi-touch reactivation campaigns across major verticals.
Transparency matters. This website is a lead generation and lead selling platform. We do not provide loans, make lending decisions, broker loans, or guarantee approvals. Advertisers and buyers are responsible for complying with applicable lending laws and disclosure requirements. We sell leads for lawful marketing only, with consumer consent captured at the source; buyers must follow TCPA, TSR, Do-Not-Call and CAN-SPAM rules. Read the full disclaimer
Aged data we sell
Older inquiry records sold at a lower cost per lead, organized by vertical, age band and state.
Older payday, installment and personal loan inquiries.
Older refinance, purchase and home equity inquiries.
Older auto, life, health and Medicare inquiries.
Older homeowner solar inquiries for reactivation.
Older debt and tax relief inquiries.
Older homeowner project inquiries by service type.
Older MCA and business funding inquiries.
Segments built around the fields and age bands your team needs.
Availability, filters and price per lead are confirmed for your states and volume before launch.
How buyers use aged leads data
Teams re-engage older inquiries with compliant outreach cadences, new offer messaging, and preference-based contact windows.
Aged data is often used for channel and script testing when businesses want additional volume at lower acquisition costs.
Agencies blend fresh and aged datasets to maintain lead flow continuity while monitoring conversion behavior by record age.
Compliance note: buyers should follow applicable telemarketing, consent, and data-handling regulations for every outreach channel and geography.
Sample records · Aged Leads
Fictional records that show the columns a campaign can include.
| Lead ID | Date | First Name | Last Name | Vertical | Phone | State | Age Bucket | Last Contact | |
|---|---|---|---|---|---|---|---|---|---|
| #661101 | John | Morris | Mortgage | john.morris@example.com | California | 30-45 days | Apr 12 | ||
| #661108 | Elena | Brooks | Solar | elena.brooks@example.com | Arizona | 45-60 days | Mar 29 | ||
| #661115 | Ryan | King | Insurance | ryan.king@example.com | Texas | 60-90 days | Mar 08 | ||
| #661122 | Maya | Cooper | Home Improvement | maya.cooper@example.com | Florida | 30-45 days | Apr 18 | ||
| #661129 | Levi | Gray | Debt Settlement | levi.gray@example.com | Arizona | 90+ days | Feb 27 | ||
| #661136 | Nora | James | Business Lending | nora.james@example.com | Illinois | 45-60 days | Mar 22 | ||
| #661143 | Noel | Vargas | Payday | noel.vargas@example.com | Nevada | 30-45 days | Apr 16 | ||
| #661150 | Emma | Hall | Mortgage | emma.hall@example.com | California | 60-90 days | Mar 12 | ||
| #661157 | Daniel | Ross | Insurance | daniel.ross@example.com | California | 90+ days | Feb 19 | ||
| #661164 | Hudson | Cook | Business Lending | hudson.cook@example.com | Florida | 45-60 days | Mar 30 |
Fictional sample records for illustration only — not live leads. Available fields are confirmed for each campaign. Swipe the table to see every field.
Questions, answered
Campaign availability, fields and delivery terms are confirmed before launch.
Aged payday and loan, mortgage, insurance, solar, debt, home improvement and business loan leads, plus custom data blends.
Age bands vary by available inventory and are disclosed before purchase.
Unless a campaign agreement states otherwise, aged data should not be assumed exclusive.
Let's build your campaign
Get segmented aged records by vertical, state, and recency to scale outbound performance.
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