Product analysis is about understanding why some products perform well while others lag behind, not just by looking at sales figures, but by analyzing behavior on product pages, conversions, and key performance indicators (KPIs). The article demonstrates how ongoing data-driven work with product pages, product performance, and A/B testing can be translated into concrete improvements that increase relevance, remove friction in the buying journey, and create better results for your business.
What is product analysis, and why does it work?
Product analysis is the practical work of finding the reasons why some products sell steadily while others attract traffic without generating sales. Often, this is not because the product is poor, but because customers lack the right assistance to make the correct choice.
When you work systematically with product analysis, you typically get clearer answers to three questions that have a direct impact on revenue.
- What attracts relevant traffic?
- What makes the user add to cart?
- What motivates the user to complete the purchase?
The point is that you don't just optimize based on gut feeling. You prioritize based on behavior and impact, so the improvements hit the areas that actually drive sales.
Analysis of product page
A product page should not only look nice. It should make it easy to make a decision. Therefore, a strong analysis starts by looking at behavior, not attitudes.
You can, for example, investigate the following areas to identify doubt and friction.
- How many people see the product, and which channels they come from
- Add to cart rate, and what typically happens just before the click.
- Scroll and click patterns that can reveal where the user loses momentum.
When you know where the user hesitates, you can build your way out of the problem with better information hierarchy, clearer choices, and a calmer page. If you want to connect insights from the analysis to concrete improvements in the experience, you can read about our approach to UX design.
Conversion Rate Optimization (CRO) with Product Analysis
CRO works best as an ongoing discipline, not as a one-time project. Product analysis provides you with ideas and hypotheses, and tests show what truly makes a difference for the user and the business.
A simple rhythm can look like this, so the work continues to produce results, even when the assortment and customers change.
- Measure and map behavior on the product page
- Formulate a specific hypothesis about what is holding the user back.
- Test one clear change at a time
- Implement, learn, and repeat
If you want a more concrete picture of how we work with testing, prioritization, and continuous improvements, you can see our approach to conversion optimization.
Shopify product analysis in practice
In a Shopify webshop, product analysis provides the most value when you connect product data, onsite behavior, and the business's priorities. If you only look at revenue per product, you overlook everything that happens before the purchase, and that's often where the friction lies.
A practical method is to find your near winners. These are products with strong signals at one point in the funnel, but which lose the user at another point.
- Good traffic, but low conversion rates, which often indicates unclear choices, information, or trust.
- High cart addition but low completion, which often indicates uncertainty, delivery terms, or a mismatch between expectations and the product.
When analysis turns into action, it often requires small development tweaks. This could be a more precise variant selection, better structure in the content, or performance improvements. Here,web development be the technical support that makes the improvements possible.
A/B test of product page
You can talk your way into many opinions, but you can only test your way to a few reliable answers. A/B tests make the most sense when you test one clear change at a time and measure a KPI that aligns with the purpose of the page.
On product pages, these are typically the KPIs you should focus on.
- Add to cart rate
- Click on size or variant
- Completed purchases (conversion on the product page or through funnel measurement)
An example is our case with Planet Nusa, where a new product page resulted in a documented increase in add to cart. You can read the case about Planet Nusa.
Product performance analysis and KPIs
Product analysis without KPIs quickly turns into opinions. KPIs without context become noise. You need both to understand what is happening and why it is happening.
Start simple and be consistent. Choose a few metrics that are aligned with your commercial goal, and build from there once you have a stable baseline.
- Views per product and per channel
- Cart addition per product and variant
- Conversion per product page
When you can see which products are causing users to drop off on their way to purchase, it becomes easier to prioritize what needs to be improved first and where a small change can have a big impact.
If you need help translating product analysis into concrete improvements for your Shopify webshop, please write to us at contact@mercive.com or call at+45 61 60 29 83.
