The offer and the form are the two variables most Australian businesses never test — and the two with the most direct effect on what paid traffic actually costs you.

A meaningful offer framing test at standard Australian paid traffic costs typically requires 300 to 500 form views per variant to reach 90% statistical confidence. At average Australian CPC rates, this is achievable within four to six weeks for most service businesses spending $3,000 or more per month on paid traffic. Below this spend level, tests take longer but are still worth running — we adjust the timeline and confidence threshold expectations accordingly.

Offer framing typically has a larger effect on conversion rate than form field changes, so we usually prioritise it in the first round. The exception is when a form has a clearly excessive number of fields — in that case, a quick field reduction test can produce a meaningful result in less time and at lower risk. The audit phase identifies which variable has the larger estimated impact for your specific situation, and we recommend the test order based on that assessment.

Testing variants of a landing page does not directly affect Quality Score — Quality Score is assessed at the keyword and ad level, not the variant level. Running multiple page variants can slightly increase landing page complexity, but this does not negatively affect Quality Score when the variants are all closely relevant to the ads driving traffic to them. We structure the test setup to avoid any compliance issues with Google Ads policies.

For businesses without a CRM, we use a manual lead quality scoring process — the sales or intake team rates each inbound lead within 48 hours of submission, and we aggregate those ratings by test variant. This is less precise than automated CRM tracking but produces reliable enough signal to distinguish between variants when the quality difference is meaningful. We provide a simple scoring template as part of the test setup.

Significant campaign changes — new audience targeting, major budget shifts, creative changes that alter the audience composition — can invalidate test results by changing the traffic composition between variants. We recommend keeping campaign variables stable during the active test period, or flagging any changes so we can account for them in the analysis. If a major campaign change is necessary, we can segment the data to isolate the pre- and post-change periods.