Accessing Your eBay Sales Data: The Direct Path
To see eBay sales past 90 days, you need to access the 'Seller Hub' or 'My eBay' section, navigate to 'Reports' or 'Sales History', and then select the 'Sales' tab, applying a custom date range for the last 90 days. This provides a clear, immediate view of your transaction performance.
- Navigate to eBay Seller Hub or My eBay.
- Locate the 'Reports' or 'Sales History' section.
- Apply a 90-day custom date filter.
- Analyze your past sales data for insights.
Understanding your sales performance over specific periods is crucial for any eBay seller aiming for consistent growth and profitability. Whether you're a seasoned seller looking to refine your strategies or a new entrepreneur trying to gauge initial traction, having access to detailed sales data is non-negotiable. The eBay platform provides robust tools designed to give you this visibility, primarily through its Seller Hub, which acts as a central dashboard for all seller-related activities. By mastering how to see eBay sales past 90 days, you gain a granular perspective on what's working and where opportunities for improvement lie.
This process isn't just about looking backward; it's about building a forward-looking strategy grounded in empirical evidence. The ability to quickly and accurately pull up your sales history allows for timely adjustments to pricing, inventory management, marketing efforts, and even listing optimization. Without this data, sellers often operate on intuition, which can lead to missed opportunities or costly missteps. The 90-day window is a standard reporting period, offering a balance between sufficient data volume for trend identification and a manageable timeframe for analysis.
Consider the digital efficiencies gained by having this data readily available. Instead of sifting through individual transactions or relying on third-party tools that might lag behind, eBay's native reporting offers the most authoritative and up-to-date information directly from the source. This direct access is fundamental to optimizing your digital workflow and ensuring that your business decisions are informed by factual performance metrics.
Understanding the Seller Hub Dashboard
The Seller Hub is eBay's primary interface for sellers, consolidating essential tools and analytics into one accessible location. Upon logging into your eBay account, you can typically find a link to the Seller Hub prominently displayed. Once inside, you'll encounter various modules designed to help you manage your business, including performance metrics, order management, listing tools, and marketing. The 'Reports' section is where the magic happens for historical data analysis. It's designed to be intuitive, allowing sellers to generate custom reports based on specific criteria, such as date ranges, item categories, or sales channels.
Within the Reports area, you'll often find pre-set options for common reporting periods, but the real power lies in the custom date range functionality. This enables you to pinpoint exactly the timeframe you wish to examine, making the task of how to see eBay sales past 90 days straightforward. By setting the start and end dates to cover the desired 90-day period, you can generate a report that encapsulates all your sales activities within that specific window.
The data presented in these reports can vary but typically includes crucial information such as the number of items sold, total revenue generated, average selling price, and fees incurred. This comprehensive overview is vital for assessing the financial health of your eBay operation and identifying trends that might not be apparent when looking at daily or weekly sales alone.
The power of understanding your historical sales lies in its direct impact on future profitability.
Navigating My eBay for Sales History
For sellers who may not yet be fully utilizing the Seller Hub or prefer a more direct route to basic sales history, 'My eBay' also offers access to past transactions. While the Seller Hub provides more advanced analytics, My eBay serves as a functional alternative for retrieving specific sales records. To access this, you would typically go to 'My eBay' and look for options like 'Selling' or 'Purchase History.' Within the selling section, there should be a 'Sold' items view. Here, you can filter or search for items sold within a specific timeframe. Although it might require more manual aggregation than a Seller Hub report, it's a viable method to find past ebay sales when specific items or dates are in question.
The 'Sold' items list provides details for each transaction, including the item sold, the price it fetched, the buyer's information, and the date of the sale. While this view is often presented chronologically, it usually offers search and filter capabilities, allowing you to narrow down results. For instance, you might be able to filter by date, but it typically won't offer the same depth of aggregated reporting as the Seller Hub. Nevertheless, it's an essential tool for confirming individual sales and understanding the context of specific transactions.
For the purpose of seeing eBay sales past 90 days specifically for analytical purposes, the Seller Hub's reporting feature is superior. It's engineered to provide aggregated data that supports strategic decision-making, rather than just transaction records. However, understanding how to look at past sales on eBay through both interfaces ensures you have complete control over your sales data, regardless of the tool you choose to use.
Leveraging Reports for In-Depth Sales Analysis
Once you have successfully navigated to the reporting section and filtered for the past 90 days, the real work of analyzing your eBay sales begins. This isn't merely about seeing numbers; it's about interpreting them to understand performance trends, identify top-performing products, and pinpoint areas needing strategic intervention. The data you extract is a goldmine for optimizing your selling activities and resource allocation efficiency.
Begin by examining your total sales revenue and volume over the 90-day period. Compare this against previous periods if available, or against your own business goals. Are you on track? Are sales growing, declining, or stagnant? This high-level view provides the immediate context for your detailed analysis. Understanding this trajectory is key to making informed decisions about scaling your operations or adjusting your product mix.
Next, delve into individual item performance. Identify which of your listings have sold the most units and generated the highest revenue. This often reveals your most popular products and can inform decisions about inventory stocking and marketing focus. Conversely, identify items that have sold poorly or not at all. These might require relisting with optimized titles, descriptions, or pricing, or they may indicate a need to discontinue the product altogether.
Consider the digital efficiencies gained by using these reports. Instead of manually compiling data, eBay's system provides it in an organized format, saving you significant time and reducing the potential for errors in data entry or calculation. This allows you to focus your energy on strategy and implementation rather than tedious data manipulation.
The data indicates a clear path forward: use these reports not just as a record, but as an active management tool to drive your eBay business.
Analyzing Sales Volume and Revenue Trends
A fundamental aspect of reviewing your eBay past sales is tracking the volume and revenue over the 90-day period. Look for patterns: are sales concentrated on specific days of the week, or do they spike around certain events or promotions? Understanding these fluctuations helps in planning inventory levels and anticipating demand. For instance, if you consistently see higher sales on weekends, you might ensure your listings are active and promoted accordingly during that time. Likewise, tracking revenue alongside volume provides insight into your average selling price (ASP) and profit margins over time.
If your sales volume is increasing but revenue is stagnant or decreasing, it suggests your ASP might be falling. This could be due to increased competition, discounting strategies, or selling lower-priced items. Conversely, if revenue is up but volume is down, your ASP is likely increasing, perhaps due to selling higher-value items or successful price increases. Impact assessment metrics like these are critical for understanding the true health of your sales activity.
Pay attention to the total number of orders versus the total number of items sold. If you sell many multi-quantity listings or bundle items, this distinction is important. It helps in understanding customer purchasing behavior and the efficiency of your fulfillment processes.
Identifying Top-Performing Products
To effectively find past eBay sales that inform future success, pinpointing your best-selling items is essential. These are the products that resonate most with buyers and represent your core revenue drivers. For each top-selling product, analyze why it's successful. Is it the competitive pricing, the unique selling proposition, high-quality photos and descriptions, or strong buyer reviews? Understanding the factors contributing to their success allows you to replicate these elements across other listings.
When you look up past sales on eBay, categorize your products and then rank them by units sold and by total revenue generated. This dual approach prevents a scenario where a high volume of low-priced items masks the true profitability of a few high-value, lower-volume products. Your goal is to optimize your product catalog, focusing on items that provide both consistent sales volume and healthy profit margins. This strategic implementation guideline ensures you're not just selling, but selling profitably.
Furthermore, consider the seasonality or trends that might affect these top performers. Are they evergreen products, or are they tied to specific holidays or fashion cycles? This information is vital for inventory forecasting and avoiding stockouts or overstocking issues.
A keen analysis of your top sellers is the bedrock upon which scalable product strategies are built.
Recognizing Underperforming Listings
Just as important as identifying winners is recognizing items that are not meeting expectations. These underperforming listings can tie up capital and seller effort without yielding adequate returns. When you check past eBay sales, specifically look for items with low views, low watch counts, few or no sales over the 90-day period, or those that consistently sell at a loss or break-even point.
The reasons for underperformance can be varied: uncompetitive pricing, poor listing optimization (weak titles, irrelevant keywords, generic descriptions), low-quality images, lack of buyer trust (few reviews), or simply a lack of demand in the current market. Risk mitigation tactics involve addressing these issues proactively. Before deciding to delist an item, try to diagnose the problem. Perhaps a slight price adjustment, an improved set of photos, or a more compelling description could revive interest. You might also explore if offering free shipping or a small discount could incentivize buyers.
If, after attempting these optimizations, an item continues to languish, it's a clear signal to reallocate your resources. Focus your energy and capital on proven performers or new products with higher potential, rather than spreading yourself too thin on items that are unlikely to generate significant sales.
Actionable Insights for Sales Optimization
Transforming raw sales data into actionable strategies is the hallmark of an efficient eBay seller. The objective when you search past sales on eBay is not just to retrieve information, but to derive insights that directly lead to improved business outcomes. This involves translating the trends and patterns observed in your 90-day sales reports into concrete steps that enhance your selling performance, optimize resource allocation, and ultimately drive greater profitability.
For instance, if your analysis reveals that items listed with free shipping consistently outperform those with calculated shipping, a strategic shift toward offering free shipping on more products becomes an obvious next step. This might involve slightly increasing the item price to absorb the shipping cost, but the potential increase in conversion rates often justifies the adjustment. This is a direct application of process optimization strategies, making your listings more attractive to buyers.
Similarly, if you notice that a particular category of items experiences a significant sales surge when promoted through eBay's advertising tools, allocating a larger portion of your marketing budget to that category becomes a logical decision. This targeted approach to resource allocation ensures your advertising spend is directed towards the areas with the highest potential return on investment, rather than being spread thinly across less effective campaigns.
The data indicates a clear path forward: implement changes based on what your sales history tells you, rather than guessing. This data-driven approach minimizes guesswork and maximizes the probability of success for your selling endeavors.
Optimizing Pricing and Promotions
Pricing is a critical lever for sales performance. When reviewing your past eBay sales, observe how price changes have affected demand and revenue. Did a price reduction lead to a substantial increase in sales volume that compensated for the lower margin? Conversely, did a price increase lead to a significant drop-off in sales, suggesting you might have priced yourself out of the market?
To optimize your pricing strategy, consider using your 90-day sales data to benchmark your prices against competitors. Tools within Seller Hub might even offer competitive pricing insights. If your top sellers are consistently priced lower than similar items on the market, consider a modest price increase to capture more profit. If an item isn't selling, a strategic price reduction or a limited-time promotion (like a percentage off or a buy-it-now discount) can help move inventory and attract buyers. Always ensure that any promotional activity is tracked so you can assess its effectiveness on sales volume and revenue.
Implementing dynamic pricing based on historical performance data is a sophisticated way to maximize both sales volume and profit margins.
Enhancing Listing Visibility and Conversion
Visibility is key to making sales. The data from your past sales can reveal which listing elements contribute most to attracting buyers and converting views into purchases. Examine your top-selling listings: what do their titles, descriptions, and keywords look like? Are they using specific, searchable terms that buyers are likely to use? Are the photos high-resolution and showcase the product from multiple angles?
If your data shows a high number of views but a low conversion rate, the issue likely lies within the listing itself or the pricing. Focus on improving your listing content: craft compelling, keyword-rich titles, write detailed and benefit-oriented descriptions, and use professional-quality images. For items that aren't selling, consider A/B testing different title variations or images to see which performs better. You can monitor changes in listing views and watch counts to gauge initial impact, then track sales conversions over time.
Consider implementing 'Good 'Til Cancelled' (GTC) listings for your best sellers, as they maintain their listing and sales history, which can be beneficial for search ranking. For other items, strategic relisting, especially with updated photos or descriptions, can refresh their visibility. The goal is to make your listings as attractive and discoverable as possible to the right audience.
Streamlining Inventory and Fulfillment
Your 90-day sales history provides invaluable data for inventory management. By identifying your fastest-moving items, you can ensure you maintain adequate stock levels to meet demand. Conversely, slow-moving items can be identified for clearance or discontinuation, freeing up capital and storage space. This efficient resource allocation prevents overstocking, which ties up money, and understocking, which leads to lost sales and customer dissatisfaction.
When assessing your fulfillment process, look at the time taken from sale to shipment for your top orders. Are there any bottlenecks? Do certain items require more complex packaging or handling that slows down the process? Streamlining these steps can improve your shipping speed, leading to higher customer satisfaction and potentially better seller ratings. For example, if you notice that a particular type of item always takes longer to pack, you might pre-package a batch of them during slower periods.
Impact assessment metrics like 'order processing time' and 'stockout rate' can be derived from your sales data and eBay's performance dashboards. Focusing on reducing these metrics through better inventory forecasting and process refinement will directly contribute to operational efficiency and scalability.
Invest in a simple spreadsheet to track your top 20-30 SKUs' sales velocity and current stock levels based on your 90-day reports; this proactive approach prevents costly stockouts.
Utilizing eBay Analytics for Strategic Growth
Beyond simply knowing how to see eBay sales past 90 days, the real strategic advantage comes from leveraging eBay's built-in analytics to foster sustainable growth. The platform offers sophisticated tools within Seller Hub that transform raw transaction data into actionable intelligence, guiding your business decisions, refining your operational efficiency, and highlighting potential risks and opportunities.
These analytics are not static; they provide a dynamic view of your business, allowing you to track the effects of changes you implement. For example, if you adjust your pricing on a particular product line, you can monitor the sales performance in the subsequent weeks and months to see if the change had the desired impact on volume, revenue, and profitability. This continuous feedback loop is essential for iterative improvement and long-term success.
Consider the tangible value gained by using these analytics. They empower you to allocate your marketing budget more effectively, identify product niches with untapped potential, and understand buyer behavior on a deeper level. This data-driven approach is the foundation for scaling your eBay business intelligently, ensuring that growth is both rapid and sustainable.
The data indicates a clear path forward: view eBay analytics as a critical component of your business strategy, not just a reporting function.
Performance Metrics and KPIs
eBay Seller Hub provides a wealth of performance metrics that go far beyond a simple list of past transactions. Key Performance Indicators (KPIs) such as your seller defect rate, late shipment rate, and feedback score are vital for maintaining your standing on the platform and influencing buyer trust. While these aren't directly part of 'sales past 90 days' reports, they are intrinsically linked; poor performance in these areas can significantly dampen sales, regardless of your product quality or pricing.
To assess your overall health, monitor your 'Sales' summary, 'Traffic' reports (views, unique visitors), and 'Conversion Rate'. A high conversion rate (percentage of views that result in a sale) indicates your listings are compelling and your pricing is competitive. If your conversion rate is low, it signals a need to revisit your listing content, images, or pricing strategy. Understanding these metrics allows for precise impact assessment and targeted improvements.
Furthermore, delve into the 'Buyer demographics' if available, to understand who your customers are. This can inform your marketing efforts and product development. Analyzing these KPIs regularly ensures you're always aware of your operational health and market position.
Forecasting Future Sales and Demand
By analyzing your 90-day sales trends, along with seasonal patterns and market insights, you can begin to forecast future sales and demand more accurately. If you observe a consistent year-over-year increase in sales for certain products during specific months, you can use this information to pre-emptively increase inventory and marketing efforts for those periods. This proactive approach to resource allocation is crucial for maximizing sales opportunities.
For example, if sales of winter clothing items typically ramp up in October and peak in December, your analysis of past 90-day sales might only capture the beginning of this trend. By looking at year-over-year data or understanding broader market seasonality, you can project demand further into the future. This allows for better supplier negotiations, optimized warehousing, and targeted promotional campaigns well in advance of peak demand.
Consider the scalability considerations: accurate forecasting is fundamental to managing growth without being overwhelmed by sudden spikes in demand. It ensures you have the inventory, staff, and shipping capabilities ready to handle increased order volumes. This forward-looking strategy is essential for any business aiming for consistent, controlled expansion.
Use your 90-day sales data to identify your top 5-10 products and then research industry trends or competitor activity related to those products to refine your sales forecasts.
Mitigating Risks and Enhancing Scalability
Understanding past sales data is a powerful tool for risk mitigation. For instance, if certain products have a high return rate, reviewing the reasons for returns can help you identify product quality issues or inaccurate descriptions. Addressing these proactively reduces future returns, saving costs and protecting your seller reputation. Similarly, if you notice sales are heavily concentrated on a few specific items, it represents a risk: if those items become unavailable or their popularity wanes, your business could suffer significantly. Diversifying your product catalog based on market research and performance analysis is a key risk mitigation tactic.
Scalability considerations are directly addressed by analyzing your sales patterns. If your 90-day reports show consistent, steady growth, you can plan for expansion with more confidence. This involves assessing whether your current fulfillment processes can handle double or triple the volume. Do you need to invest in better packaging supplies, hire additional help, or explore third-party logistics (3PL) services? Identifying potential chokepoints in your operations before they become critical is vital for sustainable scaling. For example, if order processing time increases dramatically with a 50% jump in sales, you know you need to improve your picking and packing efficiency before you can achieve another 50% growth.
By consistently reviewing and acting upon the insights derived from your eBay sales data, you build a more resilient, efficient, and scalable business. This disciplined approach ensures that your online operation can adapt to market changes and grow predictably.
Troubleshooting Common Data Access Issues
Even with clear instructions on how to see eBay sales past 90 days, sellers may occasionally encounter issues accessing or interpreting their data. These problems can range from simple navigation errors to more complex account limitations. Addressing these common troubleshooting points promptly ensures you can always access the critical sales information you need to manage your business effectively.
The first step in troubleshooting is often to confirm you are using the correct eBay interface and account. For sellers, this typically means ensuring you are logged into the seller account and accessing Seller Hub. If you're using 'My eBay' and looking for seller-specific data, you might be in the wrong section. Always double-check that you are in the 'Selling' tab or the dedicated 'Seller Hub' environment.
If the issue persists, consider the possibility of temporary platform glitches or account restrictions. eBay, like any large online platform, can experience downtime or bugs. Checking eBay's system status pages or community forums can sometimes provide insight into widespread issues. If your account has specific restrictions, eBay usually communicates this directly through messages in your account or via email, so reviewing recent communications is also a prudent step.
Proactive account management and awareness of platform updates are your best defense against data access disruptions.
Incorrect Date Range Selection
A frequent oversight when trying to view past sales on eBay is an incorrectly applied date range. Users might accidentally select 'Last 30 days' or fail to properly set the start and end dates for a custom 90-day period. This results in incomplete or inaccurate data being displayed. When setting a custom date range, be meticulous: identify the exact start date (e.g., 90 days prior to today) and the end date (today's date or yesterday, depending on data refresh times). Always confirm the selected range visually before generating the report.
Ensure you understand how eBay defines its date ranges. Some reports might update daily, meaning data from the most recent 24 hours might not yet be fully reflected. For a 90-day view, it’s generally best to set the end date to yesterday to ensure all complete data points for that period are captured. If you're looking at specific historical events, verify the exact dates they occurred and ensure your custom range encompasses them fully. This precise selection is paramount for accurate performance assessment.
Filter and Sorting Errors
Beyond date ranges, incorrect filters or sorting preferences can obscure the data you're looking for. For example, if you're trying to see sales for a specific category but have a filter applied for 'All Categories,' you won't get the granular detail needed. Similarly, if your sales report is sorted by 'Date Listed' instead of 'Date Sold,' the order of transactions will be confusing and difficult to analyze chronologically. Always review active filters and sorting options before drawing conclusions from the data.
If you're unable to find specific sales, ensure you haven't inadvertently applied filters for item status (e.g., 'Unsold Items') or transaction status (e.g., 'Cancelled Orders') that exclude the data you want to see. A quick way to reset and ensure you're seeing all relevant sales data is to clear all applied filters and then reapply only those necessary for your specific analysis, such as the 90-day date range and any category filters.
Data Lag and Synchronization Issues
Sometimes, the sales data you see might not be perfectly up-to-the-minute. eBay systems process a massive volume of transactions, and there can be a slight delay in data synchronization, especially for very recent sales. If you've just made a sale and it's not immediately reflected in your reports, don't panic. Typically, this data lag is minimal, often within a few hours, but it can sometimes extend up to 24 hours for certain aggregated reports.
If you suspect a significant synchronization issue, try logging out of your eBay account and logging back in. Clearing your browser's cache and cookies can also resolve display issues that might make it seem like data is missing. For critical, real-time updates, the 'Orders' section in Seller Hub usually displays the most current information regarding completed transactions, whereas aggregated 'Reports' might take longer to refresh. Understanding these nuances helps manage expectations when reviewing your sales history.
Advanced Techniques for Sales Data Interpretation
Moving beyond the basics of how to look up past sales on eBay, advanced interpretation involves using your 90-day data to build predictive models and uncover subtle market dynamics. This stage focuses on extracting deeper strategic value that can give you a significant competitive edge. It's about understanding the 'why' behind the numbers and projecting future outcomes with greater accuracy.
For instance, instead of just noting that a product sold well, an advanced seller might analyze the traffic sources that led to those sales. Did buyers find the item through organic search, promoted listings, or external links? Understanding this attribution helps in refining marketing spend and optimizing listing placement. This level of detail allows for more precise resource allocation and impact assessment.
Furthermore, by comparing performance across different timeframes (e.g., comparing the last 90 days to the previous 90 days, or year-over-year), you can identify emerging trends and market shifts. Are certain product categories growing in popularity, or are they declining? This foresight is invaluable for strategic planning and ensuring your business remains agile and responsive to market demands.
The data indicates a clear path forward: continuously refine your analytical approach to unlock deeper insights and drive smarter business decisions.
Correlation Between Listing Features and Sales
Advanced analysis involves examining the correlation between specific listing features and sales performance. This goes beyond just titles and images. Consider elements like return policies, shipping speeds offered, seller ratings, and even the use of specific eBay tools like 'Promoted Listings' or 'Offer Accepted'. For example, do listings with a '30-day returns' policy see higher conversion rates than those with shorter policies?
To investigate this, you might segment your 90-day sales data. Compare the performance of items where you offered 'Best Offer' against those listed with a fixed price. Analyze sales driven by 'Promoted Listings' versus those generated through organic search. This requires careful tracking and, potentially, exporting your sales data to a spreadsheet for more complex cross-referencing. Understanding these correlations allows you to strategically implement features that demonstrably boost sales, thereby optimizing your selling process.
Quantifying the impact of each listing element is the key to unlocking granular improvements in conversion rates.
Benchmarking Against Market Trends
To truly understand the context of your eBay sales past 90 days, you need to benchmark your performance against broader market trends and competitor activity. While eBay doesn't always provide direct competitor sales data, you can infer market trends by observing the average selling prices for popular items, the number of similar listings available, and general buyer interest signals (like trending categories). Tools like Terapeak (integrated into Seller Hub) offer valuable market research capabilities.
Use your sales reports to identify categories where you are performing well or poorly. Then, use market research tools to see if your performance aligns with the overall category growth or decline. If a category is booming but your sales within it are flat, it signals an opportunity to improve your listings or marketing. Conversely, if a category is shrinking, it might be wise to reduce your focus and reallocate resources to more promising areas. This strategic approach helps in identifying both opportunities and potential threats, crucial for risk mitigation and sustained growth.
Predictive Analytics and Forecasting Refinement
The ultimate goal of data analysis is to move from reactive to proactive management. By refining your understanding of past sales, you can build more accurate predictive models. This might involve using statistical methods on your historical data to forecast demand for the next quarter or even the next year. Factors to consider include seasonality, economic indicators, and upcoming product launches or trends.
For instance, if you notice a pattern of increased demand for certain items during tax season, your predictive model can forecast this surge and prompt you to increase inventory and advertising in advance. Scalability considerations are paramount here: a well-calibrated forecast allows you to scale your operations smoothly, ensuring you have the necessary resources without excessive overstocking or stockouts. This predictive capability is a hallmark of mature, data-driven e-commerce businesses and is essential for long-term strategic implementation and competitive advantage.
Frequently Asked Questions About eBay Sales Data
Navigating eBay's sales reporting can bring up specific questions. Here, we address common inquiries to ensure you can confidently access and utilize your past sales data.
Can I see sales data older than 90 days?
Yes, eBay generally retains sales data for a longer period. While the Seller Hub often defaults to or prominently features 90-day reports, you can typically set custom date ranges to view sales data going back several years, depending on your account history and eBay's data retention policies.
Are fees included in the sales reports?
Yes, eBay's sales reports usually include breakdowns of various fees, such as final value fees, insertion fees, and promotional fees. This allows you to see your net revenue after all eBay-related costs, providing a clearer picture of your profitability.
How often is sales data updated?
Sales data in eBay's reports is typically updated daily. However, there might be a slight delay in the most recent transactions appearing in aggregated reports, usually within 24 hours. For immediate transaction details, check the 'Orders' section.
What is the difference between 'Sold Items' and 'Sales Reports'?
The 'Sold Items' view in 'My eBay' lists individual transactions chronologically and is best for looking up specific orders. 'Sales Reports' in Seller Hub provide aggregated data, summaries, and analytics over chosen periods, ideal for trend analysis and performance assessment.
Can I export my eBay sales data?
Yes, eBay's Seller Hub allows you to export sales reports in various formats, commonly CSV (Comma Separated Values). This enables you to perform more advanced analysis using spreadsheet software like Microsoft Excel or Google Sheets.