Cleaning your eCommerce data directly impacts your customers’ ability to find products and ensures that your inventory is optimized across multiple sales channels. At StrategicDB, we specialize in eCommerce data cleaning and product categorization for platforms including Shopify, Magento, Amazon, eBay, Etsy, and others. We have helped clients clean product datasets ranging from over 100,000 items to fewer than 50, using a combination of machine learning and human expertise to deliver accurate, high-quality results.
Product Categorization and Data Cleansing for eCommerce
Contact Us for your Product Migration and Clean-up:
eCommerce Data Management Services:
We help ensure your products are accurately categorized with the correct hierarchy of categories and subcategories, while also making sure your filters align with the data. Additionally, we leverage keyword research to optimize category names for maximum visibility and impact, helping customers find the products they want more efficiently.
If your eCommerce catalog has been running for several years, there’s a high likelihood that your product data needs cleaning. You may have products that are no longer for sale, duplicates, or missing information, and product descriptions or page layouts may lack consistency. That’s why all of our product migration projects include thorough data cleaning, ensuring your catalog is accurate, organized, and ready for optimal performance.
As an eCommerce migration company, we ensure that your product data is not only properly prepared during migration but also formatted and optimized for listing on platforms like Amazon, Etsy, eBay, and other third-party retailers. This ensures your products are accurate, consistent, and ready for maximum visibility and sales across all channels.
Any product migration should begin with a thorough eCommerce data audit. This audit identifies missing or outdated data, ensures the correct information is included in page layouts, and highlights any missing images. As an SEO-focused product agency, StrategicDB also provides recommendations for on-page SEO improvements and image optimization, helping your migrated catalog perform better in search results and drive more sales.
Product categorization is more than simply placing items in the correct category; it also involves ensuring that category pages are optimized for SEO to maximize visibility and impact. Proper categorization helps customers find products easily while improving your search performance, driving more traffic and sales to your eCommerce store.
Reporting and store analytics are critical for eCommerce success. Without proper marketing attribution, it’s impossible to calculate return on investment at the campaign or keyword level. Similarly, without understanding which categories or products have low conversion rates, lower profit margins, or poor reviews, improving your store’s performance is difficult. StrategicDB is a full-service analytics agency that can not only help you select the right BI tools but also set up custom dashboards that answer your company’s most important questions and provide actionable insights.
Frequently Asked Questions about eCommerce Data Cleaning and Product Categorization
The cost of product cleaning is usually included if you are doing data migration. However, if you want to clean historical product data, the cost would depend on the amount of data, complexity and issues identified in a free data audit.
Data prep prior to eComm migration is key to any successful migration. It includes matching different data types to the new platform’s layout, dealing with any data issues uncovered and having a migration strategy. It starts with a data audit of existing data and the new product page. Data is then reviewed, and a strategy is established. For example, for migration, some clients want to migrate all information, while others choose to keep only partial information based on date ranges, product categories and custom fields. Data cleaning will include tasks such as identify if any duplicates, ensuring that product and variants are set up correctly, that there is no data missing, all products are accurately categorized, filters are set up with the appropriate data on the product level to match. As well as standardizing any fields which were not normalized in the historical data. These are just some data cleansing and preparations we do to get the data migrated. As a eCommerce migration agency, we ensure that every project is customized to the needs of your business.
Yes, if you want to upload your product data to Amazon using the information from your website, we can handle the process for you. Amazon requires data in a specific format, and we can ensure it’s uploaded correctly without placing a heavy burden on your team. We also recommend rewriting product titles and updating descriptions to optimize for Amazon SEO, helping your products gain more visibility and sales.
There is typically not a lot of cleaning that is needed with orders. We often standardize addresses and ensure that product ids match the products found on orders, as well as ensure orders are found under the correct contact.
For customer cleaning, there is a lot of issues that we typically uncover in a free data audit. Common issues include: duplicate customers (some platforms will de-dupe based on an email address, however, we can de-dupe for multiple emails of the same address), standardization of addresses, appending of missing information as well as matching customers to orders. Sometimes we also help with customer segmentation, this is specifically needed for B2B customers.
The time frame for migration preparation and clean up varies based on the complexity and volume of data. Typically it can take anywhere from a couple of days to a few weeks. To get an accurate estimate on your data migration project, contact StrategicDB.
We use advanced machine learning algorithms to assist with product categorization and data formatting, such as standardizing country and state names. However, we also incorporate human review and interaction to ensure the highest level of quality and customization. No project is fully automated, as we believe every business is unique and requires special attention for edge cases that automation alone cannot handle.