How eCommerce Product Data Cleansing Works, its Steps & Benefits

Expecting a high conversion rate while you have upgraded your product data 2 years ago. Jokes! right?

Yeah! It seems like, but the main culprit here is the bad data. Usually, any data gets obsolete after a time interval. The same goes for product data too. That's why you need to know everything about ecommerce product data cleansing to save your data.

One Interesting Fact: Do you know the growth of B2C e-commerce revenue globally expecting a hard hit of $5.5 trillion by 2027? The highest receivers of this growth will be electronics, fashion, toys, furniture, and other related industries. So if your business falls under these industries then you must prepare for this banger.

Wait. Wait. Wait for a minute! Are you really prepared with all the data? Or are you going to use the same obsolete data that you always take to upload your products on e-commerce websites?

In either case, you must consider ecommerce product data cleansing before putting any information on any site for sale. How cleansing works and how can you do that – let's consider this blog to find your answer.

Let's start this by understanding how much bad the bad data is.

Picture this: You wanted to buy a smartwatch but when you searched for it online you only found some blurry photos, nothing else. What are you looking for here? Of course, the price, clean photos & the best features of the smartwatch. The e-commerce owners probably did not update the product details you were looking for. As a result, you end up having a frustrating experience.

So, when you stop updating your product data it creates bad data and ruins product visibility. Product data generally includes photos, content, tags, pricing, etc. But for a larger conscience, you must consider updating your customer data if you are targeting them. It might include gender details, email addresses, incorrect numbers, and other data.

Here are some common signs that tell you it's time to clean out bad data.

It's natural for your customers to leave your website when they do not find relevant information on your website. To improve your condition, you must initiate ecommerce product data cleansing and improve your product visibility.

Now think about the other aspect, when you target an audience to sell your products. You might have enough data but you did not update it often. Sometimes data cleansing issues can create trouble. Let's check out what can happen here.

Besides prices, images and details of the product must be upgraded within a fixed time. It helps maintain the product standards and enhances visibility. Lowering the standards can harm brand image also.

Bad data or data that is due for upgradation can cause huge impacts but you can prevent it. All you need to do is practice regular data cleaning work for your e-commerce website. Or you can opt for professional data cleansing services for help.

Deliver what your customers have asked for. Proper image of the products, latest description, and updated price. Quickly updating all this information after a time interval helps you provide a better customer experience.

Cleaning up your data or updating it with the latest insights helps improve your product visibility as well as SERP rankings. By this, you can expect more organic traffic to your website and more conversions.

Putting the latest insights into your product details or presenting your product image differently can help you in upselling. For this, eCommerce Product Data Cleansing can help you get started. It massively boosts your e-commerce site also if you do it properly.

Optimizing your product data by replacing the old data with current insights or keywords can increase traffic rates. Plus, you can sell your products via different platforms like Shopify Amazon, eBay, etc.

Cleaning has another synonym in the data field, which is managing. Due to regular cleaning, you can manage your product data better and ensure smooth data compliance. Thus, it also helps increase the operational capacity of your e-commerce product selling.

Cleaning up a giant e-commerce database is not as complex as you're thinking. With the right strategy and taking the right data cleansing steps, you can easily make your product database neat and clean. Here are the 5 simple steps that you need to follow for this job.

Initiate a proper data audit to identify what are the exact inaccurate elements that you need to clean. For example, a fashion outfit seller might find its product images outdated or description not catchy. Therefore, he needs a proper plan on how to start the data cleaning process and how he going to measure the progress.

Now you have set priorities. It means you have to choose what aspect you want to improve first. For example, you can start by focusing on replacing blur product images by adding the latest HQ images. After completing the task, you can start by replacing the description, and so on.

Do you know what is the most common error that e-commerce retailers face regularly? Yes! You guessed it right. It is the duplicate data. When you use multiple worksheets to maintain your product data then duplicate entries are bound to happen. Hence, removing all duplicate data is possible and you can prevent it by consolidating your database.

Many companies use automated Product Information Management (PIM) software to find and remove duplicate data. This software finds duplicate entries automatically and replaces them. However, if you maintain Excel sheets or any other systems to manage your product data then you have to find duplicate entries manually. All you need here is the right deduplication strategies to manually find and remove cloned data.

Establishing data quality standards helps eCommerce Product Data Cleansing goals on the right track. Simply, you need to follow a set of rules to enter product data and continue it throughout. You can start with anything like dates, product IDs, names, etc. For example, you can create different tags for colors, sizes, or patterns of your fashion products. Thus, you can monitor your product data easily. Plus, it helps in managing your data much faster and easily.

Explore Here: 5 Effective Benefits of Data Cleansing

After you remove the duplicate data, you will end up having a data gap in your product database. Don't worry about it. You need to fill this gap with relevant data that help you boost your product visibility.

Improve your data with SEO (Search Engine Optimization) metrics. For example, instead of writing "red dress for women", you can add "floral red gown for women" to boost product visibility. To get the best keywords, you need to churn the search engine more and track the trends.

In the final step, you just need to check your database after regular intervals. For your help, you can set up a workflow in which you'll record your updates. However, most importantly, you need to review your clean-up performance monthly to get it on track. Besides cleaning up product data, you also need to focus on making your product catalog better.

Performing eCommerce Product Data Cleansing accurately helps you boost your product visibility and conversion. But following all the steps meticulously with constant attention may be a little difficult. Particularly, when you engage in your core business, which is selling your products. Thus, it will be the best decision for you to delegate this hectic task to a professional company via outsourcing. It will take the burden off your shoulders and help you with a clean product database. Even after clean-up, they'll help you enter records to e-commerce sites too. So, don't be late, take up your decision now!