Credit-Building Audiences
Households in areas with limited access to prime credit who are likely to benefit from credit-building products: secured cards, credit-builder loans and financial coaching.
Across 139.6M U.S. households in the Semcasting file, 14.0M clear the high-fit bar for credit-building opportunity (score 68+, the top 10% nationally). Among metro areas they concentrate in Florence, McAllen, Shreveport: in the Florence metro area, 51.6% of households are high-fit, 5.16× the national rate. At $1.50 to $3.00 CPM, these audiences are priced at approximately 50% or less of the market rate, with results reported every week.
Use restriction. For secured cards, credit-builder loans and financial coaching. Not for higher-priced credit offers. Any firm offer of credit requires consumer-report prescreening under the FCRA; this score does not measure creditworthiness. Fair Lending check: the high-fit share is 9.8× higher in the quarter of zips with the most minority residents than in the quarter with the fewest (correlation 0.43). That suits inclusion outreach, but any credit or fee-bearing offer built on this segment needs a disparate-impact review first.
Inclusion use only
No protected-class inputs, but concentrated in minority zips (9.8× the share in the top vs bottom quarter). Review before any credit or fee-bearing offer.
Household + zip signals
Semcasting household fields combined with Census, HMDA, IRS data for the zipcode.
State and zip indexes
Scores roll up to every U.S. state and zipcode, indexed to the national average (100).
Households national audience
- U.S. households scored
- 139.6M
- High-fit (score 68+)
- 14.0M
- Qualified (score 60+)
- 36.3M
- U.S. zipcodes indexing 120+
- 7,093
Share of households clearing the high-fit bar in the top metro area vs the nation. Qualified tier (score 60+, the top 25%): 36.3M households. Average score 47.2.
States highest high-fit share
| State | High-fit | Share |
|---|---|---|
| Mississippi | 432K | 32.5% |
| Louisiana | 629K | 30.8% |
| Alabama | 555K | 23.6% |
| Nevada | 295K | 22.5% |
| Georgia | 1.0M | 22.2% |
| South Carolina | 526K | 20.6% |
Zipcodes highest index, 2,000+ households
| ZIP | Households | Index |
|---|---|---|
| 48223Detroit, MI | 15,467 | 161.4 |
| 60472Robbins, IL | 2,011 | 160.7 |
| 60827Riverdale, IL | 10,395 | 160.0 |
| 60426Harvey, IL | 10,254 | 159.9 |
| 48227Detroit, MI | 21,643 | 159.9 |
States with at least 50,000 scored households. The largest high-fit audiences by count are in Texas (2.0M), Florida (1.6M), Georgia (1.0M), California (858K), Illinois (648K).
Metro areas highest high-fit share, 100,000+ households
| Metro area | High-fit | Share | vs U.S. |
|---|---|---|---|
| Florence, SC | 52K | 51.6% | 5.16× |
| McAllen-Edinburg-Mission, TX | 129K | 44.8% | 4.48× |
| Shreveport-Bossier City, LA | 72K | 39.5% | 3.95× |
| Jackson, MS | 104K | 38.1% | 3.81× |
| Mobile, AL | 68K | 36.5% | 3.65× |
| Macon-Bibb County, GA | 37K | 36.3% | 3.63× |
District of Columbia is a single urban core, so it is shown among states but is better compared with metro areas. The Washington metro area as a whole: 8.1% high-fit across 2.5M households.
Common questions
Where do credit-building opportunity households concentrate?
By share of households, in the Florence, McAllen and Shreveport metro areas. In Florence, 51.6% of households are high-fit, 5.16x the national rate. By count, the largest high-fit audiences are in Texas (2.0M), Florida (1.6M), Georgia (1.0M).
What does high-fit mean for credit-building opportunity?
A score of 68 or higher, the top 10% of U.S. households for this segment. Qualified (score 60 or higher) is the top 25%. These are percentile cuts across all scored households, not a count of households that need the product.
How can the credit-building opportunity audience be used?
Only for financial-inclusion and credit-building offers, not for higher-priced or fee-heavy products. It uses no race, sex, age, marital status, familial status or public-assistance inputs, but its high-fit share is 9.8x higher in the quarter of zips with the most minority residents than in the quarter with the fewest, so any credit or fee-bearing offer needs a disparate-impact review first, and any firm offer of credit requires FCRA prescreening. The score does not measure creditworthiness.
Evidence base data behind credit-building opportunity
- Semcasting dataSemcasting household file
- Regulatory filingFFIEC HMDA 2024
- Regulatory filingCFPB Consumer Complaint Database
- Federal statisticsCensus ACS 2024 5-year
How the score is built
Each household's credit-building opportunity score (0 to 100) combines its own household fields (50%: modest income 50%, renting 25%, short time at address 25%) with market signals for its zipcode (50%) from FFIEC HMDA 2024, CFPB Consumer Complaint Database, Census ACS 2024 5-year. Each zip signal is converted to a national percentile. State and zip indexes compare an area's average score with the U.S. average (100).
How it is confirmed
Every scored file carries a fixed 10% holdout. Results are compared with the holdout at the same score cutoffs, and the minority-zip concentration is re-checked on every delivered file before an offer runs.
What it is not
The score is not a credit decision and uses no credit bureau data. It excludes race, sex, age, marital status, familial status and receipt of public assistance, and any field that stands in for them. Zip-level targeting should still get a disparate-impact review before media or offer allocation.