Credit Card Compare

Credit card sentiment tracker

Specs tell you what a card does. They don't tell you how it feels to actually hold one. So we read what Australians say about credit cards online and turn it into a plain-English read you'll see across the site.

You may have seen us in
The Sydney Morning HeraldNews.com.auYahoo! FinanceDaily Mail Australia

We track public discussion of credit cards across the Australian market and keep it current as the conversation changes. The result sits beside the hard numbers on a card, so you can weigh what owners actually think alongside the rate and the fees.

How it works

  1. 1

    We watch where Australians talk about cards

    People compare notes on credit cards in the open every day: on Reddit, in the big Australian finance forums, and in YouTube reviews. We follow those public conversations as they happen.

    Built-in safeguard: Public discussion only. We never use private messages or anything behind a login.

  2. 2

    We read it in context, not by counting words

    A language model reads each comment the way a person would. It works out whether the comment is really about this card, and what the person is actually saying about it.

    Built-in safeguard: Off-topic posts, overseas versions of a card, and comments with no real opinion are set aside, so a passing mention never counts as a verdict.

  3. 3

    We sort it into the things that matter

    Every relevant opinion is filed under a fixed set of topics: rewards and points, rates and fees, perks and insurance, and eligibility and approval. They line up with the parts of a card you already compare.

    Built-in safeguard: The topics are a set list, not whatever the day's posts happen to raise, so the read stays on what matters to a cardholder and off rumour and noise.

  4. 4

    We summarise it in plain English

    For each topic we write one clear sentence in our own words, plus an overall lean for the card. It is a description of the conversation: where people agree, where they are split, and what they keep coming back to.

    Built-in safeguard: We summarise, never quote. It describes public discussion, and it is not a recommendation or financial advice.

  5. 5

    A person stays in charge of the method

    People decide what gets measured: the topics, the safeguards, and how much discussion counts as enough to be fair. The reading is automated, but the rules it follows, and the call on what is trustworthy enough to show you, are ours.

    Built-in safeguard: If a refresh turns up something out of the ordinary, it is held back for a person to check rather than published on its own.

  6. 6

    You see it where you decide

    The read appears on card, issuer and category pages, right next to the score and the user reviews, so you can take it in while you weigh up a card. It refreshes as new discussion appears.

    Built-in safeguard: When there isn't enough genuine discussion to be fair, we say so rather than show a confident-looking read off a handful of posts.

Why it's useful

A rate is a fact. How a card holds up in day-to-day use, whether the rewards are worth the fee, whether the app frustrates people: that lives in conversation, scattered across thousands of posts no one has time to read. We read it for you and give you the gist in a few seconds, so you get the picture the brochure leaves out.

Where you'll see it

You'll find it on individual card pages, on issuer pages (how a bank's cards are talked about in general), and on category pages (how a type of card is seen as a whole). Each one reads at the right level: a card speaks for itself, an issuer for its range, and a category for the cards in it.

What it is, and what it isn't

It reflects people who choose to post online, which leans towards engaged users and rewards cards, so read it as a sense of the conversation rather than a representative survey. It describes what people say. It is not our rating, not a recommendation, and not financial advice.

For our own assessment of a card, see how CardIQ scores cards; for verified owner ratings, read the reviews on each card page. For how we keep the underlying card data right, see data accuracy.