SEO stands for search engine optimisation, and it’s the process of getting your site or business to show up in search results on Google and other sites.

SEO is important because it helps you connect with people who are looking for your product or service—and get them to take action, whether that’s buying something from you or contacting you for more information. Having dirty product data can have serious implications on your SEO and therefore in this article we are going to discuss these effects, as well as some ways in which you can take action.

What Is Dirty Product Data

Dirty product data is any information about a product that is incorrect, incomplete, or out of date. Dirty product data can cause major problems for companies that rely on it to make decisions about their products and the marketing around them.

Examples of dirty product data include:

-Information about a product that has been entered by mistake (e.g., a typo when typing in the price)

-Information about a product that has changed since it was entered (e.g., the price has gone up)

-Information about a product that is out of date (e.g., an old version of a product)

The Effects Of Dirty Product Data

If your product data is dirty, it can affect your business in a number of ways.

First, it may mean that you are paying more for the products you sell than you need to be. That’s because if the data isn’t clean, it can lead to inaccurate pricing and inventory levels, which means you’ll have to pay more for goods—or sell them at a loss. Dirty product data could also lead to overstocking or understocking, which would cost you money either way.

Second, dirty product data can lead to customer complaints. Your customers might not be able to find what they’re looking for on your site because of inaccurate information about stock levels or pricing. They might also complain about having difficulty with returns or exchanges when there’s no way for them to find out what size or colour is available before ordering something new.

Third, dirty product data can cause problems with shipping estimates and delivery times. This can result in unhappy customers who were expecting their orders within a certain period of time but don’t receive them until later than expected (which can lead them to cancel their orders). It also means that your company might end up paying penalties if an order hasn’t been shipped.

Effects Of Dirty Product Data On SEO

Product data is the lifeblood of the online retailer. It’s what helps your customers find what they’re looking for and decide whether or not your store is a good fit for them. It’s also the thing that can make or break your SEO efforts—the more accurate it is, the better your rankings will be (and vice versa).

Dirty product data can have a number of negative effects on your Search Engine Optimisation efforts.

Some of these will be obvious, like duplicate content, out-of-date information, and inconsistent formatting. Others can be more subtle, like the fact that dirty product data will make it harder for search engines to crawl and index your website.

The effects of dirty product data on search engine optimization are huge. Dirty data means bad search results, which means unhappy customers and potentially lost revenue due to declining sales numbers, as well as failed SEO efforts if you’re relying on paid ads instead of organic traffic.

If your product names and descriptions vary across different platforms, then it’s hard for Google to know what they should index. This means that customers who are searching for a specific product may not be able to find it when they click through to your website. It also means that customers who do land on your website may not be able to find the products that they’re looking for because the data isn’t consistent across all channels – which can lead them to leave without making a purchase.

As a result, dirty product data may leave you with:

-lower rankings in search results pages

-lower click-through rates (CTR) on SERPs

-lower conversion rates

To find out more about cleaning your dirty product data, visit AICAs website.