Pricing is crucial, especially in a challenging economic climate, as competitive pricing and price leadership impact consumers’ choices. GlobalData’s pricing analysis reveals that Metro offered lowest prices of the total SKUs within the dried & instant noodles category from April through June 2023, followed by Eko Market and Takfur. According to the analysis, the price range of $5 and below was the most competitive, with 15 SKUs.
The chart below illustrates price leadership among the covered retailers which offer the highest number of low-priced products in the category. Of all retailers, Metro had greatest share of lowest prices for individual SKUs in dried & instant noodles in the Ukraine in Q2 2023.
Analysis of the quarterly price data showed that Eko Market offered the highest number of SKUs on discount among the listed SKUs for each retailer. Among variants, the tracker revealed spaghetti and soba; instant as the most popular (by number of SKUs) dried & instant noodles variants. These were priced 15.25% lower than the average price of a dried & instant noodles SKU.
Among the e-retailers tracked by GlobalData, the leading ones, based on the number of SKUs, were Metro, Eko Market, Takfur, and . According to the analysis, Eko Market had the lowest average unit price, while the retailer with the widest product assortment was Metro.
The report brings attention to the intricate pricing dynamics within the dried & instant noodles market, examining both the SKU and retailer levels, and offering invaluable insights for stakeholders. Notably, Metro, Eko Market and Takfur stood out as prominent e-retailers, providing competitive pricing for a substantial number of dried & instant noodles SKUs. However, to comprehensively grasp dried & instant noodles market in the Ukraine, continuous tracking of SKU pricing over time is necessary.
For a more detailed analysis of pricing trends in the the Ukraine dried & instant noodles market, buy the report here.
GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
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