What it means
The score is produced by feeding credit report data into a statistical model that has been trained on how millions of borrowers actually behaved. It draws on five broad categories, weighted roughly as payment history 35%, amounts owed 30%, length of credit history 15%, new credit 10% and credit mix 10%, which together account for 100% of the score.
The exact model is proprietary, so nobody outside the scoring company can reproduce a score precisely. Payment history and amounts owed dominate, which means the two most powerful things a borrower can do are pay on time and keep balances low relative to limits.
The ratio of balances to limits is called credit utilisation, and it is the fastest-moving component because it updates every statement cycle. Length of history moves only with time and cannot be improved by any clever action.
For business readers the score matters in two directions. Founders of small companies are frequently asked for a personal guarantee, and the lender will pull a personal score before approving a business facility, so a director's own credit file can gate the company's borrowing.
Companies that sell on credit terms to consumers also use scores to set limits and pricing on their own receivables. A common surprise is that scores come in versions and variants.
Different lenders use different generations of the model, and there are industry-specific versions tuned for car finance or credit cards, so the number a consumer sees on an app may not match the number the lender sees. Differences of 20 or 30 points between versions are entirely normal and do not mean anyone has made a mistake.
The score is a snapshot of one dimension of creditworthiness and nothing more. It knows nothing about income, job security, savings or assets, which is why serious lending decisions combine the score with affordability checks.
Treat it as one input to a decision rather than the decision itself.
In practice
Real-world examples.
Example
A restaurant owner applying for a $250,000 equipment loan is asked for a personal guarantee. Her score of 790 secures a rate of 7.4%, while her business partner's score of 640 would have pushed the same facility above 11%, so the loan is written in her name alone.
Example
A subscription software company that offers monthly billing runs soft credit checks before granting invoice terms to small business customers. Accounts with scores below 620 are placed on card-only payment, which cuts the company's bad debt write-offs noticeably over a year.
Example
A graduate closes his oldest credit card after paying it off, assuming this is tidy financial housekeeping. His score falls because closing the account both shortens his average credit history and removes $5,000 of available limit, pushing his utilisation up.
Think of it
“FICO is the main credit score brand-the number lenders use.
Formula
Calculation
The full FICO model is proprietary, but the single most improvable input can be calculated directly:
Credit utilisation = total balances / total credit limits x 100
A founder holds three credit cards with balances of $4,500, $2,500 and $2,000, giving total balances of $4,500 + $2,500 + $2,000 = $9,000. The limits on those cards are $12,000, $10,000 and $8,000, a total of $12,000 + $10,000 + $8,000 = $30,000.
Utilisation = $9,000 / $30,000 x 100 = 30%.
She uses a $6,000 bonus to pay the balances down to $3,000 in total. New utilisation = $3,000 / $30,000 x 100 = 10%. Since amounts owed carry a 30% weighting in the model, a drop from 30% to 10% utilisation is the kind of change that typically moves a score meaningfully within one or two statement cycles, without changing her income at all.Case study
Seen in the real world.
The following is an illustrative and entirely fictional example. Verano Bakery Group, an invented chain of nine bakeries, needed a $400,000 expansion facility and was told by its bank that the two founding directors would each need to give a personal guarantee. One director's file was clean, but the other had a score of 601, dragged down by a card that had been sitting at 94% of its limit for three years.
Rather than accept the higher rate on offer, the fictional company delayed the application by four months. The director moved the card balance down from $14,100 to $3,000 using personal savings, taking utilisation from 94% to 20%, and left the account open to preserve its fifteen-year history.
When Verano reapplied, the second director's score had recovered to 704 and the bank offered the facility at 1.6 percentage points below its original quote. On $400,000 over five years, the fictional finance director calculated that four months of patience had saved considerably more than the interest forgone on the savings used.
Watch out
Common mistakes.
- Believing that checking your own score damages it, when a personal check is recorded as a soft enquiry and has no effect at all.
- Closing old credit accounts to simplify things, which shortens average credit history and removes available limit, usually pushing the score down.
- Assuming a high income guarantees a high score, when the model sees no income data whatsoever and only looks at credit behaviour.
Questions
People also ask.
Why does my score differ between apps and lenders?
Different providers use different model versions and sometimes different credit bureaux, so a spread of 20 to 30 points between sources is common and normal.
How quickly can a score improve?
Utilisation changes can show up within one or two statement cycles, while missed payments and defaults fade slowly over several years.
Is a FICO Score the same as a credit report?
No, the report is the underlying record of accounts, balances and payment history, and the score is a number calculated from that record.
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