Regulated Ad Accounts Carry Structural Waste Before Anyone Writes an Ad

The waste is there before the creative is

Regulated categories have a particular problem: they are interesting. People search “term deposit rates”, “how does a novated lease work” or “best home loan” for reasons that have nothing to do with opening an account this quarter — coursework, curiosity, comparison journalism, a dinner-table argument.

Broad match buys all of it, cheaply, and it converts on a rate-comparison page at a flattering rate.

Illustrative model, not a benchmark — the shape of the arithmetic, not the figures. Run it on your own CPCs, landing page conversion rate and qualification rate.

Who is in the auction with your customer

• Rate shoppers with no intention of switching. Checking whether their current rate is competitive, then staying put.
• Students and researchers. Financial products are coursework. “How does X work” is almost never a buyer.
• Existing customers. Searching your own product names to log in or find a form, and clicking an acquisition ad to do it.
• Job seekers. Banking and broking category terms overlap heavily with career terms.
• Comparison-site traffic arriving with an expectation your direct channel is not set up to meet.

None of these are bad-faith traffic. They are simply people whose search looks exactly like a customer's and whose outcome never will.

Measure the funded customer, not the application

The single most expensive gap in financial services accounts is optimising to the wrong event. An application that fails credit or compliance costs you the acquisition and returns nothing, and a platform told to maximise applications will find you more of exactly those.

Rakuten Securities had a version of this problem: sign-ups were not converting into funded accounts. What changed it was a whole programme rather than one setting. We rebuilt the website and all the creative, tested creative continuously, restructured the marketing as a two-stage funnel (acquisition first, funding second), moved Google Ads from broad targeting to long-tail and competitor-specific terms, and micro-segmented trader audiences across Google, YouTube, Facebook, LinkedIn, Twitter and programmatic. Cost per sign-up fell 80%, 60% of sign-ups went on to fund an account, and funded accounts came in at 5× forecast. Sign-ups are the cheap number. Funded accounts are the business.

Practical minimum: capture the click identifier on the first visit, carry it into the origination system, and send the funded event back as an offline conversion with a value attached, so bidding weights a high-contribution product above a low one.

What good looked like at one mutual bank

For Teachers Mutual Bank, bid-strategy, CPA and quality-score optimisation cut Google Ads costs by 91%.

The bank's credit card flight was search-led, and it acquired applications at about A$12 each, against a Finance and Insurance search CPA benchmark of about A$110. Three things produced that gap together: a genuinely competitive product price (the card won Money Magazine's Cheapest Credit Cards recognition in the same window), a tight keyword and bid system that concentrated spend on low-rate intent, and a landing page that turned the click into an application without leaking.

A separate six-week term deposit campaign, run as a prospect-to-close funnel across paid search, paid social and programmatic display, returned 5,090% on campaign investment, modelled as A$5.7M of multi-year net interest margin from the balances acquired.

That last figure is the important one for setting a ceiling. The return on a deposit campaign is not the balance acquired; it is the margin on that balance over the years you hold it. Model that first and the allowable acquisition cost falls out of it.

Capacity is part of the funnel

On JB Markets — securities and derivatives, serving wholesale and retail traders — the brief was an A$50 cost per lead on new trader sign-ups. The campaign ran on Facebook, Google Display and remarketing, with two gated-content funnels A/B tested against each other. After the first week leads were arriving at A$40. As A/B testing accumulated data, cost per lead fell to A$20, 60% below target.

Then the campaign had to be paused, because the internal sales team could not service the volume it was generating. The pause held until the client streamlined their processes to absorb it.

That is worth planning for rather than discovering. A campaign that outruns the people who have to call the leads does damage a slower one would not: unworked leads age, and an aged lead in financial services is a lost one.

Compliance is a media constraint, not a legal afterthought

• Platform verification. Google shows financial services ads in Australia only from advertisers it has verified, and verification means showing that ASIC authorises you to provide financial services, or that you are exempt. Budget lead time: the ads cannot run until it is done.
• ASIC Regulatory Guide 234, reissued in June 2026, is ASIC's guidance on keeping financial product and credit advertising clear of misleading conduct: a balanced message about benefits and risks, qualifications prominent enough to be noticed rather than buried in fine print, and special care with headline claims in paid search listings, where space is short.
• Misleading and deceptive conduct provisions apply to every ad you run, retail or wholesale, regardless of which distribution regime the product sits in.

Practical translation: “cheapest cover in Australia” is a compliance problem. A specific, defensible claim about a specific product is not — and it tends to convert better anyway, because specificity beats superlatives with a buyer comparing rates.

Do this on your account

1. Model the margin, not the balance. Contribution per customer, times the holding period, is what sets your ceiling.
2. Move the measured event to funded, and attach a value so bidding can tell a high-contribution product from a low one.
3. Phrase and exact, with rate-shopper and study intent negatived out, rebuilt monthly from the search terms report.
4. Check sales capacity before you scale, not after the leads stop being answered.

The match-type arithmetic behind this is in broad match is the most expensive cheap traffic you can buy.