CreditBook for Micro Lenders: Reduce Fraud, Improve Approvals, and Recover More
CreditBook for Micro Lenders: Reduce Fraud, Improve Approvals, and Recover More
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Built for micro lenders
Alternative loan intelligence
Portal plus API
Live borrower intelligence that helps lenders approve better deals, reduce fraud, and recover more
CreditBook helps micro lenders see alternative loan activity that often sits outside traditional bureau views, and adds verified borrower and employer details that support stronger adjudication and faster collections.
Use it before the loan to avoid bad files, and after the loan to locate delinquent borrowers and validate employment for enforcement.
Underwrite with more signalLive micro loan activity can expose hidden exposure and recent stress patterns.
Reduce early delinquencyBetter segmentation can lower 30 to 60 day delinquency and improve portfolio quality.
Recover faster at lower costVerified employer and contact intelligence accelerates enforcement and garnishment steps.
Operationally lightweightUse a web portal, integrate via API, or run batch portfolio reviews when needed.
What is CreditBook and why micro lenders use it
CreditBook is a risk management data platform built for Canada’s alternative lending ecosystem, with a focus on micro lenders.
It helps lenders access and share non registered loan intelligence and verified borrower details, so you can make better decisions before funding and move faster after funding when a file goes delinquent.
Decisioning beyond bureau only
Bureau scores can lag real activity. CreditBook adds live signals from micro loan activity and verified employment data to improve underwriting context and reduce surprises.
Faster, cheaper collections support
Verified borrower and employer intelligence can reduce time to locate and verify employment, while cutting reliance on expensive skip tracing and redundant investigations.
Flexible integration options
Start with a web portal lookup workflow, move to API integration, or run batch portfolio analysis to score delinquency and recovery opportunities at scale.
Micro lenders often win or lose on speed. CreditBook is designed to help you move fast without taking on hidden risk,
especially when borrowers have recent activity with alternative lenders that may not appear quickly in traditional reporting.
Talk to CreditBook about your workflow.
How micro lenders use CreditBook before and after funding
CreditBook is useful at two moments: underwriting and post funding risk management.
The goal is simple: approve more good customers, avoid fraud and bad files, then recover more when a file turns delinquent.
Before the loan
Confirm the consistency of borrower identity signals across alternative lending activity
Detect hidden short term exposure and recent application velocity
Support approval decisions and pricing by adding real time borrower behavior context
Reduce fraud patterns that can slip past bureau only processes
After the loan
Get updated borrower contact details and verified employment intelligence
Shorten time to locate a delinquent borrower and validate employment for enforcement
Reduce skip tracing cost and avoid redundant searches across teams and vendors
Enable faster legal execution such as garnishment when appropriate
Case studies: how CreditBook improves lender outcomes
Below are three real world style examples that show how borrower intelligence changes the economics for lenders, paralegals, and recovery partners.
These results highlight cost reduction, faster action, and better recovery rates.
Case study: turning court judgments into real collections
A creditor had 11 Ontario Small Claims Court judgments with wage garnishment rights, but enforcement was stalling due to outdated contact and employment data.
Use case: post judgment enforcement and garnishment
Traditional admin and legal costs
$5,211
CreditBook reports cost
Under $110
Total execution cost with paralegal
$1,760
Recovered across 11 files
$64,388
What changed
Verified employer details and current borrower contact intelligence allowed the paralegal team to issue garnishments to confirmed employers and pursue voluntary settlements, while eliminating redundant searches and delays.
Case study: enhancing auto and secured loan recovery with verified borrower and employer intelligence
Auto, RSLA, and secured lenders often rely on outdated bureau data and expensive skip tracing. CreditBook supports faster right party contact and employment verification to accelerate recoveries and enforcement.
Use case: recoveries, repossession readiness, skip tracing reduction
Time to locate or verify employment
4 to 8 weeks
With CreditBook
Under 2 weeks
Average cost per account
$450 to $600
With CreditBook lookup
Under $25
In pilot style examples, lenders reduced investigative and enforcement costs by over 80% and increased recovery per account by 3 to 5 times.
This is driven by live verified borrower and employer intelligence, including verified contact details, employment verification, and borrower reference information.
Case study: better adjudication using live micro loan activity and employment data
Bureau only underwriting can miss recent micro loan activity and near real time credit stress. CreditBook adds live borrower behavior context to support better approvals, pricing, and risk segmentation.
Use case: underwriting accuracy and early delinquency reduction
Micro lender data hit rate
84.8% average
Non micro lender hit rate
24% average
Early delinquency reduction
8 to 10% down to 4 to 6%
Estimated ROI per $1 spent
$12 to $15
Why it matters for micro lenders
Micro lenders compete on speed and cost. Adding live alternative signals can help you approve more qualified borrowers while flagging risky patterns early, which protects margin and reduces manual review time.
These quick calculators help you estimate how CreditBook can impact profitability through fewer bad deals, reduced fraud and write offs, and lower recovery costs.
All fields are adjustable to match your portfolio.
Adjudication ROI: approve more good borrowers, reduce early delinquency
Based on the adjudication case study pattern: improved approval precision and lower 30 to 60 day delinquency can protect and grow margin.
Total applications reviewed per month.
Percent of applications approved today.
Typical funded amount for your product.
Net margin after costs, before losses. Use your own number.
Percent of funded loans that go delinquent early.
Case study style range suggests 4 to 6% is achievable in some scenarios.
Percent uplift in approvals due to better visibility into good borrowers.
Set your expected per file cost. Adjust as needed.
Incremental monthly net profit from added approvals
Estimated monthly loss reduction from fewer early delinquencies
Estimated monthly ROI after CreditBook checks
This is a directional model for business planning. Your actual performance will depend on underwriting policy, product pricing, collections strategy, and borrower mix.
Recovery savings: reduce investigation spend and increase recoveries
Based on the secured recovery case study pattern: traditional skip tracing and investigation costs can be high, while verified contact and employment intelligence can lower cost and speed up action.
Accounts that require locate or employment verification actions.
Case study range suggests $450 to $600 is common for traditional workflows.
Case study example shows under $25 per account lookup in some workflows.
Percent of files where you confirm contact or employment and recover meaningfully.
Case study shows 70% plus confirmed contact or employment in some scenarios.
Used to estimate additional recoveries enabled by higher success rate.
Your net recovery on successful files, after costs and settlement reductions.
Optional: reduced vendor time, fewer redundant searches, less internal effort.
Directional model. Align assumptions to your collections process. A CreditBook walkthrough can help you set realistic baselines and success metrics.
Judgment collections ROI: estimate impact for enforcement files
Based on the post judgment case study: accurate employer and contact intelligence can convert legal wins into real collections at lower cost and faster execution.
Files where you have enforcement rights and need locate and employer verification.
Case study: $64,388 across 11 files is about $5,853 average.
Case study: $5,211 across 11 files is about $474 per file.
Case study: under $110 across 11 files is about $10 per file.
Optional: include incremental execution cost to complete enforcement steps.
Percent of files that convert to collections in your current process.
Set expected conversion when employer and contact data is current.
Adjust based on your settlement and enforcement outcomes.
Use this to plan expected returns for enforcement portfolios. For exact pricing and integration options, connect with CreditBook.
Why borrower intelligence matters as alternative lending grows
The alternative lending market in Canada is a multi billion dollar sector and continues to expand as borrowers seek faster and more accessible financing.
As volume grows, the lender advantage shifts to data, automation, and better risk controls that protect margin.
Market signals that support better risk tools
Reported estimates suggest Canada’s alternative lending market value was around $2.2B USD in 2024, with projections reaching about $4.2B USD by 2028.
As competition rises, lenders need better ways to spot hidden risk and fraud while keeping approvals fast.
Micro lenders operate in a world where borrowers may apply across multiple non registered platforms quickly.
CreditBook supports stronger underwriting by surfacing alternative loan activity patterns and supports collections by providing verified employer and contact intelligence.
If you are a micro lender that wants fewer bad files and better recoveries without slowing down approvals,
start a conversation here.
Frequently asked questions for micro lenders
Common questions lenders ask when evaluating CreditBook for underwriting, fraud control, and collections.
CreditBook can add live alternative lending signals and verified borrower details that may not appear quickly in bureau updates, including micro loan activity patterns and employment verification context. This can help lenders avoid hidden exposure and improve early stage risk decisions.
By adding additional borrower intelligence and cross lender signals, micro lenders can identify inconsistencies, application velocity, and risk patterns that can indicate higher fraud probability or near term stress. This supports stronger approvals and pricing decisions without adding heavy manual work.
CreditBook can provide verified contact and employer intelligence that helps confirm right party contact, validate employment for garnishment steps, and reduce reliance on expensive skip tracing. The result can be faster action and lower cost per recovered account.
Lenders can start with a web portal workflow, connect their software via API, or run batch portfolio reviews for large delinquency or adjudication use cases. Many teams begin with portal access and expand to API once the ROI is proven.
A simple approach is to run CreditBook checks on a controlled sample of applications and delinquency files, then compare approval outcomes, early delinquency, locate success, and recovery amounts against your baseline. Use the ROI tools above to estimate the value band, then confirm with a pilot.
