diadora.com
Diadora.com is an online platform that offers a wide variety of products for sports enthusiasts and athletes. Their inventory includes athletic footwear, apparel, and accessories. The website provides an accessible platform for customers to browse and purchase sports-related items at their convenience.
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diadora.com Annual Revenue and Growth
diadora.com's annual sales on its online store amounted to $6.7M in 2025, down 5-10% from the previous year. For 2026, revenue is expected to grow by 5-10%. This suggests a turnaround from last year's decline.
diadora.com's monthly revenueOVER TIME
Over the past three months, diadora.com revenue has experienced growth of 23%, compared to the preceding three months.
diadora.com competitors
In March 2026, diadora.com outperformed its competitors in terms of revenue, generating $703,106. In comparison, lotto.it brought in $91,854, and aw-lab.com earned $586,220. diadora.com also had the highest number of transactions at 4,704, followed by aw-lab.com with 6,952 and lotto.it with 925. When it comes to sessions, diadora.com had 483,817, while aw-lab.com had 659,085, and lotto.it had 148,610. In terms of Average Order Value (AOV), diadora.com fell within the range of $125-150, similar to aw-lab.com and higher than lotto.it's $75-100. The conversion rate for diadora.com ranged from 0.50-1.00%, which was consistent with lotto.it and higher than aw-lab.com's 1.00-1.50%.
Revenue share by device at diadora.com
In March large majority of sales on diadora.com, 67% was finalized on desktop devices, with 33% of sales coming from mobile devices (mobile web only, excluding app usage, if relevant).
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diadora.com channels
Identify top traffic channels that drive growth for diadora.comand discover how performance of traffic channels has changed over time.
diadora.com Google Ads spend
Evaluate diadora.com's Google search ad spend, ad clicks and cost-per-click. Review performance over time and gain deeper view into their ad campaign spend.
diadora.com devices
Review diadora.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
