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What Happens When E-commerce Brands Ignore A/B Testing for Conversion Rate Optimisation?

28 Feb 2025

E-commerce businesses spend thousands (if not millions) of dollars on paid ads, influencer marketing, and social media campaigns.

Whether you manage everything in-house or work with a CRO agency, what happens on your website after the click ultimately decides your growth.

1. A/B Testing: The Difference Between Stagnation and Scalable Growth

E-commerce businesses spend thousands (if not millions) of dollars on paid ads, influencer marketing, and social media campaigns.

But what happens when all that traffic lands on a website that doesn’t convert efficiently?

  • Money is wasted.
  • Ad costs skyrocket.
  • Revenue potential is lost.

The harsh truth is that most e-commerce brands don’t need more traffic—they need better conversion rates.

Yet, many brands ignore eCommerce A/B testing, relying instead on gut instinct, intuition, and outdated best practices. This approach cripples long-term growth.

1.2 What Are You Missing Out on Without A/B Testing?

  • Wasted marketing budget: Sending traffic to an unoptimised site means higher bounce rates, lower engagement, and poor conversion rates.
  • Lower revenue per visitor: Every lost conversion is lost revenue. Even a 0.5% increase in conversion rate can add hundreds of thousands in annual revenue.
  • Uninformed decision-making: Making website changes without data is like throwing darts blindfolded—some might land, but most will miss.
  • Falling behind competitors: The fastest-growing brands—like Nike, Sephora, and Bunnings—run hundreds of A/B tests per year. If you’re not testing, you’re losing market share.

At DIGITXL, we help brands implement structured A/B testing for conversion rate optimisation to turn guesswork into growth.

1.3 A 1% Monthly Increase = 12.7% Yearly Growth (Here's Why)

https://www.digitxl.com.au/cro/Many brands fall for misleading claims like:
💡 “Improve your conversions by 40% overnight!”
💡 “One simple tweak to 10x your revenue!”

In reality, sustainable CRO (Conversion Rate Optimisation) isn’t about overnight success—it’s about making small, consistent improvements that add up over time.

A study by Harvard Business Review found that the average A/B test results in a 1–3% uplift. But the real power isn’t in a single test—it’s in testing continuously.

📈 A 1% increase in conversions per month doesn’t just add up—it compounds.
📈 Instead of 12%, it leads to 12.7% growth over a year.

Here’s why:

Each month’s 1% improvement is applied to the new, higher number from the previous month. It’s like rolling a snowball down a hill—it starts small, but as it keeps rolling, it picks up more and more snow.

For example:

  • If you start with 100 conversions, a 1% increase means you now have 101 conversions.
  • The next month, you grow 1% of 101, not 100—giving you 102.01 conversions.
  • By the 12th month, this compounding effect results in 112.7 conversions, or 12.7% total growth, instead of just 12%.

This small but powerful concept is the same principle used in compound interest—where small, steady gains create exponential results over time.

📈 If you increase by 2% per month, your yearly growth isn’t 24%—it’s 26.8%.

Ignoring eCommerce A/B testing mistakes can leave a big chunk of revenue on the table—and the brands that test consistently scale faster.

2. Real Example: How a 0.5% Uplift Drove $540K in Additional Revenue

One of our clients, an e-commerce brand, struggled with cart abandonment.

We hypothesised that adding express checkout buttons (Apple Pay, Google Pay, Shop Pay) would reduce friction.

  • Before testing: Conversion rate = 1.92%
  • After testing: Conversion rate = 2.42%
  • Result: A 0.5% increase in conversions.

That might seem small, but let’s break it down:

Average Order Value: $120
Monthly Visitors: 150,000
Additional revenue per month: $45,000
Annual revenue growth: $540,000

This wasn’t a guess—it was a data-backed change that led to a real financial impact.

3. Brands That Scale Fastest = Brands That Test the Most

The most successful brands don’t just test occasionally—they bake testing into their growth strategy.

Case Study: Netflix’s A/B Testing Culture

Netflix runs hundreds of A/B tests per year. They test everything from:

  • Thumbnail images (which influence watch-time by up to 20%).
  • Subscription pricing models (which directly impact user retention).
  • Personalised homepage layouts (leading to a 30% increase in engagement).

Their relentless experimentation has helped them outperform competitors like Blockbuster, Hulu, and HBO Max.

The lesson?

More testing = faster learning = greater competitive advantage.

If your brand isn’t testing consistently, your competitors are—and they’re winning.

4. What Should a CRO & A/B Testing Strategy Look Like?

A/B testing isn’t about random experiments—it’s a structured, data-driven process.

1. Identify Revenue Leaks

Before testing, we conduct deep-dive analytics to find where customers are dropping off.

  • Cart Abandonment (Avg: 68%) – Are customers dropping off at checkout?
  • Mobile Experience Issues – Is your mobile site optimised for speed & usability?
  • Homepage Bounce Rates (Avg: 40-60%) – Are visitors leaving before engaging?

2. Test What Actually Moves the Needle

We prioritise tests that have the highest potential impact, such as:

✅ Checkout optimisations (reducing friction)
✅ Pricing & discount visibility (driving urgency)
✅ Product page enhancements (clarity, trust signals, reviews)
✅ CTA button design, text, and placement

3. Measure, Learn, Scale

Each test is backed by data-driven decision-making, so that only the best-performing changes get rolled out.

Win? Scale it site-wide.
Lose? Learn & iterate.

5. How Much Are You Losing by NOT Testing?

Let’s assume your store makes $1,000,000 per year and has a conversion rate of 2%.

Here’s what happens when you ignore ecommerce A/B testing vs. optimise consistently:

Even a 0.25% increase could drive an extra $125,000 per year.
What’s the cost of not testing? Hundreds of thousands in lost revenue.

6. The Best Way to Implement CRO & A/B Testing

You have three options:

Option 1: Do It Yourself

✅ Low cost
❌ Steep learning curve
❌ Slower results

Option 2: Build an In-House CRO Team

✅ Full control
❌ Expensive ($250K+ per year)
❌ Hard to find top talent

Option 3: Partner with DIGITXL (Best for Fast Growth)

✅ Results in months, not years
✅ Fraction of the cost of an in-house team
✅ Proven frameworks that scale

At DIGITXL, we specialise in high-impact CRO strategies that deliver:

  • More revenue per visitor
  • Lower customer acquisition costs
  • Faster, scalable growth

If you want to see how CRO and A/B testing can improve your growth phase, let’s chat!

8. FAQ

1. Why is A/B testing so important for e-commerce brands?
A/B testing helps you move from guesswork to data-backed decisions, so you’re not wasting paid traffic on pages that don’t convert.
Without it, you risk flat revenue, rising acquisition costs, and slowly losing ground to competitors who experiment more.

2. What do e-commerce brands miss out on when they don’t test?
They burn media budget sending users to unoptimised journeys, which leads to higher bounce rates and lower revenue per visitor.
They also make changes based on opinion instead of evidence, while competitors like Nike and Sephora learn and improve with every test.

3. Can small conversion uplifts really make a big financial difference?
Yes – even a 0.5% uplift can add hundreds of thousands in annual revenue when multiplied by your traffic and average order value.
Because improvements compound over time, a steady 1–2% uplift each month can translate into double-digit growth over a year.

4. What does a good CRO and A/B testing strategy actually involve?
It starts with finding “revenue leaks” using analytics – things like cart abandonment, mobile friction, and high bounce pages.
From there you prioritise high-impact tests on checkouts, pricing, product pages and CTAs, then scale the winners and learn from the losers.

5. What are my options for implementing CRO and A/B testing?
You can do it yourself, build an in-house CRO team, or partner with a specialist Analytics agency like DIGITXL.
DIY is cheaper but slower, in-house is powerful but costly, while an external partner gives you proven frameworks without the full-time headcount.