Grow Lending on the whole picture, not a slice of it.

See the borrower who is ready before they go shopping. Approve them on what they really earn and really owe, not just the accounts you already hold. Close the loan without ever sending them out of your app. That is what lending looks like when the data is complete.

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$1.1T

in loans closed across 3.1 million mortgages.

Informative Research

up to 10%

lift on loan applications.

BECU

3.9x

greater increase in loan accounts, for consumers who became more engaged.

MX research,
The Engagement Effect

Your lending problem is really a data problem.

A borrower starts an application on their phone. Three screens in, you ask for a document they do not have on hand. They quit.

Another one finishes, then gets declined. The underwriter never saw the second income. Or the loan that was almost paid off.

A consumer you have served for six years just bought a car with someone else's loan. Nothing told you they were shopping.

Three different failures, one cause. Each one was a loan you could have made. You just did not have the data. Complete the picture and all three stop happening.

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74%

of lenders say they ask borrowers for information they already have.

42%

of consumers were turned down for a financial product last year because of their credit score. For people with poor credit, it is 74%.

1 in 120

mortgage applications show fraud indicators.

What Grow Lending actually means.

Grow Lending is measured two ways, and MX moves both.

Loan volume

More people finish the application. More of them get approved. And you approve them on facts, not guesses.

Cost to acquire each loan

Your team chases fewer documents. Fewer files stall. And you stop turning down good borrowers because the file was missing something.

Smart, full-picture data reveals the opportunity early.

Most lenders decide using only the accounts they already hold. That leaves half the picture out. MX fills in the accounts outside your file. Then it lets the borrower finish the application without leaving your app.

CONNECT

See every account

Link every account the borrower holds. That includes the money and the debts your file does not show today.

Connect

ANALYZE

See what they can really carry

Enriched data shows what they really earn, what they really owe, and who is at risk of taking their loan somewhere else.

Analyze

ENGAGE

Reach them before the competition

Make the offer to the right borrower at the right moment, inside your own app, while they are still deciding.

Engage

ACT

Let them finish in one sitting

They finish the application inside your app, and the documents come in for them. No branch visit needed.

Act

Five ways loans grow. Pick the one you are losing.

These follow the borrower's own path with you, from the first application to the second product. Each one is a place a loan gets lost, and a place MX stops the loss.

Loan Origination

Loan Origination

Applications die in the middle. The borrower hits a question they cannot answer from their phone, leaves to find a document, and never comes back. MX fills in the form, pulls the statements, and checks who owns the account, right inside your application.

See the Loan Origination use case
Loan Underwriting

Loan Underwriting

A thin file turns into a slow decline. The underwriter never sees the second income, the account at another bank, or the debt that is nearly paid off. MX shows real cash flow and surfaces the accounts your file was missing.

See Account Aggregation
Borrower Qualification

Borrower Qualification

A decline today is usually the end of the conversation. But the borrower you turn away this year is one you could be approving next year. MX helps them get financially stronger inside your app. The person you turn down this year becomes the person you approve next year.

See Financial Wellness
Loyalty and Retention

Loyalty and Retention

Borrowers refinance when a better rate shows up, and you usually find out after it happens. MX tells you who now qualifies for a better rate, who is falling behind, and who is at risk of taking their loan somewhere else. You hear it while you can still do something about it.

Multi-Product Capture

Multi-Product Capture

One loan and nothing else does not make you money. Most borrowers stop at the first product because nobody offered the second one at a moment that made sense. MX reads their spending to spot when they are ready for a refinance, a line of credit, or a card.

See Customer Intelligence

Informative Research

“Data quality is very important. If you look at the use case associated with mortgage lending, there is a very high bar of data that needs to be provided. And we've worked in partnership with MX to continually drive that bar higher.”

Brian Francis, Head of AccountChek, Informative Research
Read the customer story

What it looks like when it works

Lenders who used MX to make more loans, and what changed.

$1.1T

In mortgage loans closed, across 3.1 million loans.

Informative Research

Read the case study >

up to 10%

Lift on loan applications.

BECU

Read the case study >

99%+

Connection success rate on the accounts lenders need to see.

Informative Research

Read the case study >

3.9x

Greater increase in loan accounts, for consumers who became more engaged.

MX research

Read the research >

Questions lenders ask.

What lenders ask about growing loan volume.

Do we have to replace our loan origination system?

-

No. MX is the data layer that feeds your decision, not the system that runs the loan. It sits behind the origination system you already have.

Is the borrower's bank data safe?

+

The borrower gives permission before any account is connected, and they can take that permission back. MX is SOC 2 Type II certified and PCI DSS certified.

What is cash flow underwriting?

+

Cash flow underwriting judges a loan on the money moving through a borrower's accounts, not just their credit score. You see real income, real spending, and real obligations. It helps most when a score does not tell the whole story. A borrower with several income sources. A borrower with a thin file, or no file at all. Someone who paid rent on time for four years, where no credit report will ever show it. They could always pay. The file just never said so.

What is credit decisioning?

+

Credit decisioning is how a lender decides to approve, decline, or price a loan. Traditionally it runs on a credit score and whatever the borrower typed into the application. Adding permissioned account data means the file is complete before anyone decides.

What is automated underwriting?

+

Automated underwriting uses software to pull and check a borrower's file, instead of a person asking for each document. You gain speed. But speed only helps if the file is complete.

What is alternative credit data?

+

Alternative credit data is anything about a borrower that sits outside a credit report. Bank balances. Income deposits. Rent and utility payments. Accounts held at other banks. It matters because a lot of people have thin credit files, and a score alone will keep turning them away.

How can a bank grow loan volume without loosening credit standards?

+

Two ways, and neither means taking on more risk. First, stop losing applications in the middle. A borrower who quits over a document you asked for was never a credit decision. That was just a loss. Second, decide on a complete picture. When the file shows a second income, or an account you did not know about, you approve people you used to decline. They could always pay. The file just never showed it. If you want to see which of your declines were data problems, a demo is the fastest way to find out.

The loan you should be making is already in your data.

See the loans you are missing, and close them in your own app.

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