Most stores should fix checkout and product pages before they touch the homepage, and they should stop testing button colours. Ecommerce conversion rate optimisation (CRO) is the work of lifting the share of visits that end in an order. The maths is simple: orders divided by visits, times 100, over the same period (Stripe).
If your Australian store sits at 2%, you are around the middle of the pack. The gap between average and good is rarely a design trick. It is usually friction at the end of the funnel, a mismatch between ad and page, or a test programme that never reaches a clear answer.
Key Takeaways
- Conversion rate is orders ÷ visits × 100 for one defined period. Compare like with like: same channel, same device, same dates.
- Benchmarks are bands, not targets. Adobe’s 2026 Australian ranges run from 1.5-3% for fashion to 3-6% for grocery and FMCG, so a single “good” number does not exist.
- Checkout is the highest-return place to start. Baymard (2025) estimates a usability redesign can lift a large site’s conversion rate by 35.3%.
- Test one change at a time on a split audience, and judge it on profit and customer acquisition cost (CAC), not on conversion rate alone.
- Ads and landing pages must say the same thing. A great ad that lands on a generic page wastes the click you paid for.
Table of Contents
- How conversion rate is calculated (and where people get it wrong)
- Is 2% good? Benchmarks for Australian stores
- Fix checkout first
- Product pages: where the decision actually happens
- Mobile and speed
- How to choose what to test
- Testing without fooling yourself
- Judge it on profit and CAC, not conversion rate alone
- Keep ads and landing pages saying the same thing
- Our perspective
- Where we can help
- FAQ
- Sources
How conversion rate is calculated (and where people get it wrong)
Take orders in a period, divide by visits in the same period, multiply by 100. Similarweb’s worked example is 150 conversions from 10,000 January visits, which gives 1.5% (Similarweb). Telstra’s Australian guide uses the same logic and notes the denominator can be visitors, impressions or ad interactions, so pick one and stay with it (Telstra).
The mistake we see most: reading the blended number. A store-wide 2% hides a 3.5% email audience, a 0.8% cold TikTok audience and a 1.2% mobile rate. Telstra makes the same point, saying averages can obscure differences across channels, audiences, regions and seasons (Telstra).
Why this matters: you cannot fix a blend. You can only fix a segment. If cold paid traffic is 60% of visits and converts at a third of your email rate, then your “conversion problem” is an audience problem, and no checkout tweak will touch it.
Is 2% good? Benchmarks for Australian stores
It depends on what you sell. Adobe’s 2026 Australian guidance gives typical ranges of 1.5-3% for fashion and apparel, 1-2.5% for consumer electronics, 3-6% for grocery and FMCG, and 2.5-4.5% for health and beauty (Adobe).
So 2% is fine for electronics and weak for beauty. Treat the band for your category as a sanity check, then compare yourself with yourself, month on month, by channel.
One more thing to sit with. Nobody can hand you a “12% is normal” figure that applies to a general store. Where you see single-digit-plus rates quoted, they come from narrow cases: repeat buyers, tiny traffic, or a different definition of conversion. Ask what the denominator was.
Fix checkout first
Checkout is where you have already paid for the visit, the product has been chosen, and the shopper is still leaving. Baymard’s compiled research puts average cart abandonment at 70.22%, and 17% of online shoppers recently abandoned an order because checkout was too long or complicated (Baymard).
When shoppers who were only browsing are excluded, US respondents named these reasons: extra costs too high (40%), slow delivery (20%), distrust of card security (19%), forced account creation (18%) and a complicated checkout (17%) (Baymard). That data is American, so treat it as direction for Australian stores, not a local measurement.
Baymard’s upside estimate is large: redesigning checkout for usability could lift the average large ecommerce site’s conversion rate by 35.3% (Baymard). That is a ceiling for a site with real usability problems, not a promise for yours.
The four fixes that usually pay
- Show the full cost early. Extra costs are the top abandonment reason. Put shipping thresholds and delivery estimates on the product page and in the cart, not for the first time on the payment step.
- Keep guest checkout. Forced accounts cost you 18% of abandoners in Baymard’s list. You can still collect accounts after purchase; guest checkout and wishlists are a way to do both without blocking the order.
- Cut fields and steps. Every extra field is a reason to leave. Remove company name, second address line and anything you do not need to ship.
- Offer fast, remembered payment. Princess Polly ran a four-week test of Shop Pay’s authenticated checkout and recorded a 7.6% store-wide reduction in median checkout time and a 1% increase in Australian store orders (Shopify case study). One percent sounds small. On a store taking 10,000 orders a month, that is 100 more orders from a payment option.
We go deeper on this in our guide to checkout optimisation for Australian shops, and on the real causes of cart abandonment. Caveat on the lot: Shop Pay results belong to one brand with a lot of returning shoppers. Test on your own base.
Product pages: where the decision actually happens
A product page has one job: answer the question that stops the buy. On a Shopify store, that question is rarely “where is the button”. It is “will it fit, when will it arrive, and what if it is wrong”.
Start with what the page already says about those three things.
- Delivery and returns near the price. Not in the footer. The shopper checks them before they add to cart.
- Real photos and short video. Show scale, texture and use. Creator-style video often answers fit and feel faster than a studio shot.
- Reviews with detail. Ten reviews that mention sizing or results beat 200 that say “great”.
- One clear action. Remove competing links near the add-to-cart button.
Mechanism: shoppers on mobile see one screen at a time. If delivery, returns and price are three scrolls apart, the shopper has to hold them in memory. Most will not. Put them together.
If shoppers search your store before buying, read that data too. Search terms that return nothing are a list of products or words you are missing, and Shopify search analytics explains what to track and how to act on it.
Mobile and speed
We will not quote a universal speed-to-conversion figure here, because the figures that circulate trace to different sites, devices and years. Do this instead: split your conversion rate by device in Shopify Analytics or Google Analytics, then compare. If mobile converts at less than half of desktop and mobile is most of your traffic, mobile is your first project. Shopify’s own guidance points merchants to its built-in analytics and reports, or tools like Google Analytics, plus funnel data and testing, to find where the checkout breaks (Shopify).
How to choose what to test
Prioritise by three things: how many people hit the page, how big the drop-off is, and how cheap the fix is. A change on a page seen by 70% of visitors with a 60% drop-off beats a polished change on a page seen by 5%.
Telstra’s process is sensible: set a conversion goal, collect data on visitors and conversions, use granular data on sources, demographics, regions and behaviour to find opportunities, form a hypothesis, then A/B test (Telstra).
A simple scoring approach, with a worked example:
| Idea | Traffic reaching it | Drop-off | Effort | Priority |
|---|---|---|---|---|
| Show shipping cost on product page | 80% | High | Low | 1 |
| Add guest checkout | 25% | High | Low | 2 |
| Rewrite homepage hero | 100% | Low | Medium | 4 |
| Recolour add-to-cart button | 40% | Low | Low | 5 |
The percentages are illustrative, not benchmarks. The point is the order. Button colour lands last because it does not change what the shopper knows or fears. We wrote about why button colour tests lose and about ten mistakes that wreck conversion.
Testing without fooling yourself
BigCommerce’s guide sets out the basics: build a hypothesis from analytics and user research, change one thing, split the audience, compare (BigCommerce). It also says testing can improve return on ad spend, reduce CAC and lift average order value and lifetime value.
Three rules we hold to:
- Decide the metric before you start. Revenue per visitor beats conversion rate. A discount can raise conversion and cut profit.
- Do not call it early. A test that runs three days across a payday is measuring payday. Run full weeks, and run until your tool reports enough orders per variant to trust.
- Do not test on tiny traffic. A store with a few thousand monthly visits cannot read small differences. Make bigger changes, or use before-and-after on checkout fixes with obvious causes. For stores with larger traffic, our comparison of testing tools for Shopify stores covers the traffic thresholds.
What if the test shows nothing? That is a result. It means the thing you changed was not the problem. Move on, do not keep re-running it until it “wins”.
Judge it on profit and CAC, not conversion rate alone
Conversion rate is a ratio. Your bank balance is not. Here is the arithmetic, with made-up round numbers:
- 100,000 visits at 2% = 2,000 orders.
- Lift to 2.3% = 2,300 orders from the same traffic. That is 300 more orders, no extra ad spend.
- If you spent A$50,000 on ads, CAC falls from A$25.00 to about A$21.74 per order.
That is a 13% drop in cost per order from a 0.3-point lift. It is why CRO is often the cheapest way to lower CAC.
The Australian context makes this sharper. Eightx (2026) estimates Australian CAC runs 20% to 35% higher than in the US, because of a smaller population and a more concentrated ad auction, and says pure-play DTC stores typically need 35% to 50% gross margins to stay profitable after CAC, freight and returns. We treat those as directional, since they come from a single benchmark report. Still, if your margins are thin, a conversion lift is worth more than a new ad budget. Average order value helps too: see six levers to test for average order value.
Keep ads and landing pages saying the same thing
This is the part most CRO guides skip. You can have a clean checkout and still lose, because the click arrived expecting something the page did not deliver.
The mechanism: an ad makes a specific promise, say a hero product, a price, a creator’s claim. The shopper clicks to see that. If the page opens on a category grid or a generic brand banner, they must hunt, and many will not. Paid traffic is cold, so patience is short.
What to do:
- Send each ad to a matching page. Same product, same offer, same language as the ad’s first line.
- Carry the creative across. If the ad is a creator video, show that creator or the same scene above the fold.
- Split by intent. Prospecting ads go to a story-led page. Retargeting goes to the product with delivery and returns up top.
- Read ad data by landing page. A creative with a good click rate and bad conversion rate is a page problem, not a creative problem.
We have not found a trustworthy universal figure for how much this lifts conversion, and anyone quoting one without a store, a date and a before-and-after is guessing. Measure it on your own account: pair one ad set with a matching page, keep another on the old page, compare revenue per visit over at least two full weeks.
Our perspective
Most agencies split the work. One team makes the creative, another buys the media, a third “does CRO” after the click. Each reports its own metric, and nobody owns the gap between them. That gap is where conversion leaks.
At Thrive, strategy, creative, paid media and conversion run as one senior team. The strategist reading the numbers also briefs the creators and signs off the edit. So when the data says the ad is winning clicks but the page is losing the order, the fix is one conversation, not a ticket passed between three firms.
That is our approach, not a law of nature. Our aim is to deliver at least three times your investment in us, and we measure against your bottom line, not just revenue. Some clients have reported year-over-year revenue growth as high as 436%. Results vary by brand, margin and starting point, and we say so up front.
Harry Sekhon
Where we can help
If you have run the checks above and want a team to own the whole loop, our conversion optimisation service covers research, testing and implementation for DTC brands, alongside ad creative production and Meta and TikTok ads so the creative and the page stay matched.
See the Honeysuckle Swim Co. case study for how this looks on a real brand, or browse all our services. Not ready to talk? Start with the checklist in this article. Happy to look at your funnel numbers if it helps.
FAQ
What is a good ecommerce conversion rate in Australia?
It depends on category. Adobe’s 2026 Australian ranges are 1.5-3% for fashion, 1-2.5% for consumer electronics, 3-6% for grocery and FMCG, and 2.5-4.5% for health and beauty (Adobe). Judge yourself against your own category and your own trend by channel.
How do I calculate my Shopify conversion rate?
Divide orders by visits for the same period, then multiply by 100. Shopify Analytics and Reports show this, and you can cross-check with Google Analytics (Shopify). Segment by device and traffic source before you act.
What should I optimise first?
Checkout and the product page. Checkout is where already-paid-for traffic leaves, and abandonment averages 70.22% across Baymard’s compiled studies (Baymard). Fix surprise costs, forced accounts and long forms before anything cosmetic.
How long should an A/B test run?
Long enough to cover full weeks and collect enough orders per variant for your testing tool to report a reliable result. There is no single day count that fits every store. Small stores should make bigger changes rather than test small ones.
Does improving conversion rate lower customer acquisition cost?
Yes, when traffic and spend stay flat. The same ad spend produces more orders, so cost per order falls. In the example above, a 2% to 2.3% lift cuts cost per order by about 13%.
Sources
- Stripe: Ecommerce conversion rate optimization strategies
- Similarweb: 15 eCommerce conversion rate optimization tips
- Telstra: What is conversion rate optimisation (CRO)?
- Adobe: Ecommerce conversion rate optimisation
- Baymard: UX statistics
- Baymard: Ecommerce checkout usability report and benchmark
- Shopify: How Princess Polly increased sales using Shop Pay
- Shopify: Ecommerce conversion rate benchmarks and tips
- BigCommerce: Ecommerce A/B testing guide
- Indexa Pulse: Shopify search analytics
- AccountCraft: Shopify account signups and guest checkout
