Learn how a cross-border e-commerce platform tracked Allegro sellers to gain market entry intelligence, identify top-performing products, analyze competitors, and optimize expansion strategies in new markets.
| Client | Cross-border e-commerce technology platform (Lithuania-based) |
| Geography | Lithuania HQ, Poland market entry focus |
| Platforms Scraped | Allegro (seller-level data + product/pricing) |
| Project Duration | 6 weeks |
The client was a cross-border e-commerce technology platform helping sellers expand into new European markets. Their next strategic priority was Poland, where Allegro is the dominant marketplace — by some measures larger than Amazon in the Polish e-commerce landscape. But the client had limited operational visibility into:
Without this intelligence, the client couldn't confidently advise their seller customers about Poland market entry. Manual research at scale (hundreds of categories, thousands of sellers) was not feasible.
Actowiz Solutions built an Allegro seller and product intelligence pipeline:
Allegro is a complex platform with multilingual data (Polish primary, some English), seller-level views, and category hierarchies. The extraction pipeline normalized data across all of these, with seller entity resolution to identify the same seller across multiple categories.
Output was a multi-tab dashboard: top sellers by category, pricing analysis, listing quality benchmarks, and a "high-opportunity categories" view showing where competition was thinner.
If you're a cross-border e-commerce platform, brand, or marketplace intelligence company, the seller-level view of a target marketplace is fundamentally more valuable than the product-only view. Top sellers reveal category dynamics, pricing strategy, and market opportunity in ways product-level data alone cannot.
The same pattern applies to Mercado Libre (LATAM), Rakuten (Japan), Coupang (Korea), Trendyol (Turkey), and dozens of other regional marketplaces where local seller intelligence is foundational for market entry strategy.
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