How Lead Aggregators Use OffersIQ to Improve Lead Quality
Lead aggregators use credit screening to check each lead against their lender buyers’ credit rules before routing it. Each lead goes only to buyers or products whose rules it matches. The check can start from just a name and address.
With CRS, aggregators run this check with OffersIQ. Using a lead’s name and address, OffersIQ returns match or no match for leads based on the buyer’s rules. No credit data comes back, just a match or no match decision. Non-hits cost nothing, and OffersIQ has an 85%+ typical credit hit rate.
Key takeaways
- Self-reported credit ranges are often wrong, so lenders pay for leads that never fit.
- Checking each lead against each buyer’s rules before routing fixes the mismatch.
- OffersIQ returns match or no match from a name and address, with no credit data.
Why does self-reported data hurt lead quality?
The traditional aggregator model relies heavily on self-reported information. A consumer fills out a form and selects their estimated credit score range from a dropdown. They check a box for their income bracket. They type in their employment status.
The problem is obvious. Many consumers overestimate their credit standing. A consumer who selects “Good (670-739)” might actually sit at 620. That lead gets sold to a prime lender who cannot approve it. The lender pays for a lead that was never viable.
Over time, this erodes trust between aggregators and their lender buyers. Lenders start disputing invoices. They reduce bids. Some walk away entirely.
A credit match before routing closes that gap. The aggregator no longer relies on the consumer’s guess.
How does credit matching work for lead aggregators?
Aggregators run thousands of leads a day, so the check has to be fast, light and automatic. Here is the flow with OffersIQ.
- Agree on rules with each buyer. Each lender sets its own score bands, debt limits, geography and exclusions.
- Load each buyer’s rules as a rule set. Build them in the CRS Portal or through the API. CRS builds custom attributes when the standard library does not fit.
- Capture the lead. First name, last name and address are enough to start.
- Run the match. Send each lead to OffersIQ in real time inside your form flow, or send a file by batch.
- Read the result. OffersIQ returns match or no match for every rule set. No credit data comes back.
- Route the lead. Send it to the buyers whose rules it matches. Leads that match no buyer stay out of the network.
You pay only for hits. When a buyer changes its rules, the change takes effect instantly for the next lead.
Two things matter most at scale. The check must run in real time, or form abandonment climbs. It must also work from the little data a capture form collects.
How do aggregators route leads to the right lender?
Different lenders serve different credit tiers. A near-prime personal lender, a regional bank and a credit union each set different rules. With a match result for every buyer, routing becomes a lookup instead of a guess.
| Lender buyer | Rules the lender sets | Lead A | Lead B |
|---|---|---|---|
| Near-prime personal lender | Score band, unsecured debt limit | Match | Match |
| Regional bank | Higher score band, no recent late payments | No match | Match |
| Credit union | Score band, the states it serves | Match | No match |
Lead A goes to the near-prime lender and the credit union. Lead B goes to the near-prime lender and the bank. Each lender sets its own rules.
Who buys the credit report, the aggregator or the lender?
The lender does. Anyone who views credit data must be a CRS customer. So an aggregator cannot pass credit data to the lenders that buy its leads.
That is why aggregators use OffersIQ. It returns a match result, not credit data. When a lender buyer wants a credit report, it orders one through its own CRS account.
For example, a lender can pull a Prequalification Credit Report once the consumer engages with the offer, allowing the lender to show the consumer real credit terms before a formal application.
Offer matching vs prescreening: which improves lead quality more?
Both improve lead quality, at different stages. Prescreening builds an audience from your credit criteria, for a firm offer of credit. Offer matching checks leads you already have against each buyer’s rules.
| Offer matching (OffersIQ) | Prescreening (LeadsIQ) | |
|---|---|---|
| Where it starts | Consumers you already have, such as leads or applicants | Your credit criteria, run against a credit file |
| What it needs | As little as a name and address | Credit criteria set in the CRS Portal |
| What comes back | Match or no match, with no credit data | A list of matched consumers, with phone and email appended |
| What happens next | Only leads that match move on to a soft pull and an offer | Everyone on the list receives your firm offer of credit |
The two can work in sequence. LeadsIQ builds the audience, and OffersIQ checks each lead against each buyer’s rules before anyone extends a soft pull or an offer. See the LeadsIQ page and the OffersIQ page.
What should aggregators settle with counsel?
Lead aggregation with credit data raises questions only your counsel can answer. Settle these before your first lead runs:
- Which permissible purpose covers each credit check in your flow?
- Who orders each credit report, and who may see the results?
- What does your form tell the consumer, and when?
- How will you route leads based on match results?
- What records will you keep for each lead and each match?
- What happens on the lender’s side after a lead arrives?
The primary source is the Fair Credit Reporting Act section on permissible purposes, 15 U.S.C. 1681b. Our prescreen compliance sources page quotes the key passages. CRS customers complete compliance vetting before their first pull. CRS does not give legal advice, so confirm your program with your counsel.
How does CRS support lead aggregators and their lender buyers?
Lead quality is decided at the top of the funnel. CRS helps aggregators and their lender buyers start with the right audience, then check each lead against credit criteria before anyone extends a soft pull or an offer.
Stage 1
Build the audience: LeadsIQ
For lenders and aggregators that make firm offers of credit. LeadsIQ builds your top of funnel from the credit criteria you already use. Set criteria across 50+ credit attributes, see how many of 280M+ US consumers match, and reach an eligible audience with a firm offer of credit.
- 50+ credit attributes, 280M+ US consumers on file
- Matched count in about 20 seconds, before you buy
- Phone and email appended in the same pull
- No minimum order size
Stage 2
Match each lead: OffersIQ
For aggregators routing leads to lender buyers. OffersIQ checks each lead in your audience against each buyer’s existing criteria. Only leads that match move on to a soft pull and an offer.
- Match or no match from as little as a name and address
- No credit data comes back
- 85%+ typical credit hit rate, no charge for non-hits
- Rule changes take effect instantly
- CRS Portal or API, in real time or by batch
Stage 3
Engage the consumer: Soft Credit Report
For lender buyers. When a matched consumer engages, the lender pulls a soft-inquiry credit report to show real credit terms before a formal application.
- No score impact
- One setting switches between one, two or three bureaus
CRS has delivered 40M+ credit pulls, enabling $75B in lending decisions. More than 2,000 companies use CRS, and CRS is SOC 2 Type II certified.
How do aggregators measure the impact?
Track these numbers for a period before you add credit matching, then after:
- Match rate by buyer: the share of leads that match each buyer’s rules
- Lender acceptance and conversion rates
- Dispute and return rates
- Revenue per lead
- Cost per matched lead, since only hits are billed
Results depend on your buyers, your traffic and your rules. Compare like periods so seasonal swings do not skew the read.
Frequently asked questions
What is credit screening for lead aggregators?
It is a check of each lead’s credit fit against lender buyers’ rules before the lead is sold. With CRS, aggregators run it as a match through OffersIQ. The result is match or no match, with no credit data.
Do lead aggregators need their own license to use credit data?
It depends on how your program is set up, so ask your counsel. CRS customers complete compliance vetting before their first pull.
Can aggregators pass credit data to their lender buyers?
No. Anyone who views credit data must be a CRS customer. OffersIQ returns a match result instead, and each lender orders its own credit report.
How much data does a credit match need?
As little as first name, last name and address. No SSN is needed to start.
Does checking a lead’s credit affect the consumer’s score?
A soft inquiry does not affect credit scores. The CRS Prequalification Credit Report is a soft inquiry. OffersIQ returns a match result and delivers no credit report.
How fast does OffersIQ return a result?
In real time, inside your form flow. You can also send leads by batch.
How is OffersIQ priced?
You pay only for hits. Non-hits are free. Ask CRS for pricing at your volume.
What is the difference between offer matching and prescreening?
A prescreen list is a set of consumers selected from a credit file for a firm offer of credit. OffersIQ starts with consumers you already have, such as leads or applicants. It returns match or no match against your rules. Ask your counsel which fits your program.
Related resources
- How Lenders Use Credit Data to Build Pre-Screened Marketing Lists
- OffersIQ: match consumers to credit offers
- How Can I Use Credit Data to Improve Lead Qualification for My Team?
- How Soft Pull Credit Data Improves Your Sales Team’s Qualification Process
- Prescreen and firm offers of credit: primary sources for lenders
See how your leads match your buyers’ rules. Talk to CRS about OffersIQ.