How We Fixed a 50% Conversion Problem by Looking at the Right Data

Why Data Matters Beyond Sales

Sales volume doesn’t always tell you if a product is truly performing well. For example, we once assumed one of our products was a top seller.

But after checking the data, we discovered the conversion rate on its product page was 50% lower than other products. Yes, it was selling units—but we were losing half of potential customers.

After updating the product page, the conversion rate improved within a week, and sales grew significantly. Without looking at the data, we would never have caught that.

Source: IGLU Soft Play

Start Simple: Tracking for Small Sellers

If you only have a few products, you don’t need fancy software. Most platforms already give you key numbers like:

• Product page views
• Add-to-cart rate
• Units sold and orders
• Traffic source (organic, paid ads, social media)

Checking these weekly can help you spot trends and problems before they snowball. It’s also smart to keep records of previous weeks or months. Day-to-day activities can make you forget the progress you’ve made. Every few months, look back at the data to see if trends are continuing or if there’s a decline.

Test One Change at a Time

Data becomes most powerful when you use it to guide improvements. For example:

• We reduced the price of a top seller to match marketplace competitors. Within 2 weeks, sales jumped 100%, and overall profit also went up.
• Another time, we improved delivery speed from 5–7 days to 2–5 days, and within 3 months, sold units doubled.

When updating a product page, focus on one element (title, price, or images).

Then track the data for at least a week (or longer if sales volume is low). This way, you’ll know exactly what caused the change in results.

Source: IGLU Soft Play

Use Tools That Save Time

Collecting data doesn’t have to be boring or complicated. You can:

• Download reports from your platform and track them in Google Sheets or Excel.
• Use free tools like Google Analytics to understand traffic.
• If your catalog is larger, consider beginner-friendly BI tools to automate reports.
• Use AI tools (like ChatGPT or others) to help you set up spreadsheets, build simple dashboards, or even highlight which metrics to prioritize.

Start small. Only invest in advanced tools once your sales and catalog size really need them.

Which Metrics Should You Watch?

Not all numbers matter equally. Focus on KPI (Key Performance Indicators) that directly impact sales growth, such as:

• Product or category views
• Conversion rate (% of visitors who buy)
• Cart abandonment rate
• Units sold
• Discount impact (how promotions affect sales and profit)

👉 Pro tip:

Create a small dashboard with 3–5 KPIs you check weekly or daily. If they look healthy, don’t overanalyze. If one dips, dig deeper to find the cause. And remember—if the data doesn’t give you a clear answer, combine it with customer feedback and your instincts. Sometimes gut feeling is just as valuable when backed by real-world signals.

Quick Starter Checklist

Here’s how beginners can put this into action right away:

• Track product views, add-to-carts, and conversions weekly
• Test only one change at a time
• Compare results before and after the change
• Start with free tools (Google Analytics, Shopify dashboard, Excel/Sheets)
• Review KPIs weekly and adjust as needed

Final Takeaway

You don’t need to be a data scientist to use analytics effectively. Start small, track a few key numbers, and use them to guide simple improvements. Over time, these small data-driven steps will lead to big growth for your e-commerce business.

The sooner you start looking beyond sales numbers, the sooner you’ll uncover hidden opportunities for growth.