The phases of digital commerce optimization: a framework for sustainable revenue growth

Every digital commerce leader wants growth. The challenge is that growth rarely comes from a single initiative.

The reality is that many brands invest heavily in new technology, redesign projects, marketing campaigns, and merchandising changes, only to see limited impact on revenue.

This isn’t because the investment was wrong, but because optimization is not a single project.

Optimization is a series of connected improvements that build on one another over time.

At Tryzens, we often see brands wanting to improve conversion rates, increase average order value, or reduce bounce rates – but without first understanding where friction exists in the customer journey.

Sustainable revenue growth comes from removing areas of friction. That’s why we recommend a phased approach for digital commerce optimization.

While every business starts from a different position, the underlying principle remains the same: understand your customers, identify barriers to purchase, and use data to guide continuous improvement.

Every digital commerce leader wants growth. The challenge is that growth rarely comes from a single initiative.

The reality is that many brands invest heavily in new technology, redesign projects, marketing campaigns, and merchandising changes, only to see limited impact on revenue.

This isn’t because the investment was wrong, but because optimization is not a single project.

Optimization is a series of connected improvements that build on one another over time.

At Tryzens, we often see brands wanting to improve conversion rates, increase average order value, or reduce bounce rates – but without first understanding where friction exists in the customer journey.

Sustainable revenue growth comes from removing areas of friction. That’s why we recommend a phased approach for digital commerce optimization.

While every business starts from a different position, the underlying principle remains the same: understand your customers, identify barriers to purchase, and use data to guide continuous improvement.

Here is our practical framework for ecommerce optimization:

Start with traffic quality, not volume

When growth slows, many businesses instinctively look for more traffic.

It feels logical; more paid media and more social campaigns should lead to more impressions and more clicks.

But traffic volume on its own tells only part of the story.

The more important question is whether the right customers are arriving on your site in the first place.

A channel may deliver thousands of visitors, but if those visitors have little purchase intent, conversion rates will remain low regardless of how much effort is invested.

In one recent review, a social media audience segment delivered more than 81,000 visitors while converting at just 0.21%. The issue wasn’t traffic volume but traffic quality.

Brands should regularly review: 

• Organic search performance 

• Paid media targeting 

• Audience quality 

• Landing page relevance 

• Channel-level conversion rates 

• Customer acquisition costs 

The goal is to attract visitors who are more likely to become customers. And the impact can be significant.

Research analyzing 180 million ecommerce user interactions found data-driven precision targeting of high-value customers increased customer lifetime value by 43.8%.

Even more notably, the same study found that the fastest growth came from previously overlooked customer segments, where lifetime value increased by 77.3% after the platform identified behavioral signals and delivered more relevant experiences.

This highlights the long-term value of improving acquisition quality rather than simply increasing traffic volume.

Optimize customer segmentation for cross-selling

Once you’re attracting higher-quality traffic, the next opportunity lies in customer segmentation.

Many retailers sit on valuable customer data but struggle to translate it into meaningful commercial outcomes.

Modern CRM, customer data, and marketing automation platforms make it easier to segment customers based on behavior, purchase history, product affinity, lifecycle stage, and predicted value.

Segmentation helps retailers move beyond broad campaigns and create more relevant experiences based on what customers are most likely to buy next.

This is particularly important for cross-selling.

Research from McKinsey found that 71% of consumers expect companies to deliver personalized interactions, while 76% become frustrated when those expectations are not met.

Effective segmentation creates the foundation for those personalized experiences, with McKinsey analysis finding that cross-selling can increase sales by 20% and profits by 30%.

Benchmark the experience against best practices

At multiple moments, businesses develop blind spots.

Teams get used to their own website. Internal assumptions replace customer observations. Features that seem intuitive to employees create confusion for shoppers.

This is where benchmarking becomes valuable.

Comparing your customer experience against established standards helps identify friction that may otherwise go unnoticed.

Businesses can benchmark their experiences in several ways, including using the Baymard Institute, which provides in-depth UX benchmarking tools and case studies across multiple categories.

The objective here is to identify the issues that have the greatest impact on customer outcomes. 

Areas commonly assessed include:

• Navigation 

• Search functionality 

• Product listing pages 

• Product detail pages 

• Checkout experience 

• Mobile usability 

• Accessibility 

 The commercial impact of these improvements can be substantial.

Our analysis of one client showed that by increasing the conversion rate from 1.73% to 1.78%, it could generate approximately £1.2 million in additional annual online revenue. 

This example highlights an important point: Even small improvements in conversion rate can have a significant commercial impact when applied across thousands of customer journeys.

So benchmarking helps businesses identify those opportunities and prioritize investment.

Run human-led product discoverability tests

Analytics platforms can tell you what happened, but customers can tell you why.

The bounce rate may increase. Search abandonment may rise. Conversion may drop. Analytics can highlight these, but they rarely explain the underlying cause.

Human-led product discoverability testing fills that gap.

Here’s what it looks like: you ask real customers to complete realistic shopping tasks and observe how they navigate the experience. Where do they hesitate? Which filters do they use? When do they become frustrated?

These observations provide first-hand insight into how customers actually experience the site and help answer questions that analytics can’t.

Industry benchmarks can also help highlight hidden growth opportunities. Take industry average bounce rates, for example: for sports brands it is 49.80%, apparel brands 49.98%, and beauty brands 53.21%.

If you’re averaging a bounce rate above your industry benchmark, you’re likely leaving sales on the table above the industry average as well.

Human-led discoverability testing helps identify the causes of friction that lie beneath your bounce rate. Clearing these barriers can keep more shoppers progressing through the purchase journey.

More broadly, these tests shift optimization from assumption to evidence.

That creates a stronger foundation for future decisions, reducing the risk of investing in changes that fail to address real customer needs.

Test & scale with customer data

Once acquisition, segmentation, user experience, and discoverability have been reviewed, brands and retailers need a structured process for testing improvements and measuring outcomes.

Rather than relying on opinion, leading digital commerce teams use customer data to validate ideas before rolling them out more broadly.

Using data collection tools, teams can analyze thousands of customer sessions and identify behavioral patterns, helping to create a continuous cycle of improvement.

According to Optimizely’s analysis of more than 127,000 experiments, only 12% of tests produced a statistically significant improvement in their primary metric.

While dispiriting, the finding highlights an important face: most ideas don’t work as expected, which is why testing matters.

The same Optimizely data found that when businesses take these results, refine them, and build on them, they go on to see a 0.4% uplift in digital revenue for each revenue-focused experiment.

A/B testing remains one of the most effective ways to do this. Testing can be applied across: 

• Homepage experiences 

• Product pages 

• Navigation structures 

• Promotional messaging 

• Search experiences 

• Checkout journeys 

• Recommendation engines

Over time, these minor improvements compound. Small gains in conversion rate, engagement, average order value, and retention combine to create meaningful revenue growth.

Test. Learn. Implement. Repeat.

Your next step forward 

Customer expectations change while markets evolve and new channels emerge. The experiences that drive growth today may not deliver tomorrow.

That’s why sustainable revenue growth needs more than isolated projects. It requires a framework that helps teams continuously improve: 

• acquisition quality,  

• customer segmentation, continually  

• benchmarking your experiences,  

• product discoverability testing, 

• Testing and iterating.

Looking beyond today’s performance challenges creates opportunities to uncover new areas of growth tomorrow.

If you are evaluating where your next optimization opportunity may exist, or want an independent view of your current digital commerce performance, get in touch with Tryzens.

Our team can help you identify areas of friction, prioritize opportunities, and build a roadmap for sustainable revenue growth.