ZIK Analytics collects sold listings data from products, competitors, niches and trends into one platform, showing true demand, prices and revenue so you pick proven winners, price confidently, plan inventory and scale eBay profits.
ZIK Analytics pulls sold listings data across tools, revealing demand, pricing and trends for products, competitors, niches and entire markets.
Search any niche or item ID and ZIK aggregates real sold listings behind eBay’s Best Match results: total sold items, listings, average price, sell-through and sales trend, so you understand past performance before committing to a new product or niche.
Enter any eBay seller name and ZIK reveals total sold items, revenue, average selling price and storewide performance, plus a product table with 7–30 day sales history so you can copy proven winners.
Scan any category or keyword and ZIK shows each product’s 7–30 day sales, revenue, price and upload date, so you can compare sold items history across niches and filter down to only safe, high-demand opportunities.
See daily-updated keyword revenue, product sales and total units sold, plus a leaderboard of trending dropshippers, so you spot niches where recent eBay sold items history proves strong demand and repeatable profit potential.

Discover eBay best sellers, with real-time sales data, competition insights, and product validation.

See which eBay seller is behind each product and dig into their store’s performance with one click.

Explore top-performing categories and discover winning trends in your niche.

View macro-level trends and performance benchmarks across categories, niches, and sellers.
Turn raw sold listings data into decisions: what to list, how to price, and when to scale products safely.
Use sold items history to validate niches and avoid duds.
Base pricing on average sold prices, not guesses or competitors.
Compare 7–30 day sales to see products suddenly taking off.
Use competitor sold history to find repeat sellers worth copying.
Skip unproven ideas; focus inventory on products with consistent sales.
Use rolling revenue and sold trends to prepare for demand spikes.
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On eBay, search your keyword and apply the “Sold items” filter to see recent completed sales. To go deeper, ZIK Analytics aggregates this sold items history into clear stats—total sold, revenue, average price, sell-through, and trends—so you can actually make decisions from it.
You can review previous sales in My eBay → Selling → Orders for a limited time window. With ZIK Analytics, you move beyond basic history: it consolidates sold items data, compares timeframes like 7–30 days, and shows which products and niches consistently generate sales.
Checking sold items history stops you guessing. You see what really sells, how often, and at what price. That helps you avoid dead products, set smarter prices, choose better niches, and copy proven winners instead of gambling on untested ideas.
In eBay, go to My eBay → Selling or Seller Hub → Orders to see individual sales and tracking. ZIK Analytics takes it further by analyzing similar items’ sold history, prices, and demand, helping you relist, adjust pricing, and scale only proven winners.
eBay sold items history is the record of completed listings that actually sold, including price, date, and quantity. Sellers use it to understand true demand, realistic price ranges, seasonality, and whether a product or niche is worth listing or scaling.
Inside eBay, you’re fairly limited to recent activity. With tools like ZIK Analytics, you can break sold history into periods like 7, 14, 21, or 30 days, compare performance over time, and spot products that are trending up or fading.
Connect ZIK Analytics to your eBay workflow and use real sold items data to validate ideas, pick winners faster, and scale profitable listings confidently.