Product Content

Our product content focuses on

Clarity and AccuracyCompelling VisualsConsistency Across ChannelsRich Product InformationUser-Generated Content IntegrationInteractive FeaturesQuick and Easy NavigationSEO Optimization

Increase your sales with our personalized product content solutions.


We’re In Business

10+ years

In-House Expertise

80+ Ninjas

Ads Spend Managed


Revenue Generated


Google PPC/CPC Advertising

Engage customers and build confidence in your products with enriching content descriptions. Filling up the gaps, Purple Cow’s product data enrichment services provide up to date and relevant high-quality product information that boost your eCommerce business profits.

Google PPC/CPC Advertising

Optimize the categorization of your products to attain your business goals by facilitating comfortable navigation to your customers. Researching the competition, Purple Cow’s product taxonomy services names your categories and attributes appropriately by avoiding over categorization.

Display Network Campaigns

Let customers decide what to buy and why with tangible and intangible product attributes. Purple Cow helps your eCommerce business get noticed on the web above your competitors with clear product attributes including product names, images, SKUs (Stock Keeping Unit), barcodes, brands, product types and SEO fields.

Responsive Search Ads(RSAs)

Transform your eCommerce business with compelling content and consistent customer experience. Purple Cow as your eCommerce content partner delivers enriched digital content including quality product images, videos, brochures, sell sheets, and more that find new avenues for your business.

Dynamic Search Ads (DSAs)

Stand apart with the original, unique and interactive content to scale your eCommerce business. Purple Cow’s dedicated team of expert writers and editors deliver turn-key product content solutions maintaining uniformity that enhance discoverability and influence customer purchases across world’s largest eCommerce marketplaces.

Display Ads

Expand the reach and visibility of your products on a global market and sell across multiple sales channels with Purple Cow’s product content syndication. We as an experienced eCommerce content provider plan ahead, find relevant partners and find best ways to syndicate successfully to reach the most relevant audience and encourage conversions.


eCommerce Conversion Rate
converting more means less effort to generate traffic
Average Order Value (AoV)
getting more out of each conversion
Mobile Traffic
delivering better digital customer experience


goso direct
shoppers stop
Lighting Supply
Carlo Pazolini
amko displays

digital talk // Product Content

Dive into our insightful blogs—unlocking the power of compelling product content.


“As a mid-level company, we wanted to take our business to the next level & engaged Purple Cow to manage the digital marketing campaign. We have been particularly impressed with how they perfectly understood our business & its target audiences. The response we got after availing their SEO & PPC Services has been tremendous. We highly recommend Purple Cow for their professional & personalized approach that suits client’s requirements.”

PPC Campaign // Pro Audio Star

“Having struggled for years paying crazy Amazon Marketing fees to people who didn’t know what they were doing. It was an amazing blessing to find someone who not only knew what they were doing but who charged a fair price. I will never leave Purple Cow, every person I have dealt with there have been top notch human beings who I now count as friends. I wish you the success you have helped us achieve.”

Amazon Marketing // GOSO Direct

FAQs // Frequently Asked Questions

eCommerce product description services involve creating written descriptions of products for use on online marketplaces and eCommerce websites. These descriptions are intended to provide detailed information about the product, including features, benefits, and specifications, in order to help potential customers make informed purchasing decisions. The services may also include optimizing the descriptions for search engines, in order to improve the visibility of the products online.

There are several ways to avoid plagiarism when creating written content:

  • Understand what plagiarism is: Familiarize yourself with what constitutes plagiarism and the consequences of committing it.
  • Cite your sources: Whenever you use information from a source, be sure to properly cite it. This can be done through in-text citations and a bibliography or reference list.
  • Use quotation marks: When directly quoting a source, use quotation marks and cite the source.
  • Paraphrase: Instead of directly quoting a source, paraphrase the information in your own words and cite the source.
  • Use plagiarism checking tools: Before submitting any written work, run it through a plagiarism checking tool to ensure that it is original.
  • Get permission: If you want to use copyrighted material, you must get permission from the copyright holder before using it.

Following these steps can help you avoid plagiarism and maintain academic or professional integrity.

Our team has extensive experience in product content creation for ecommerce businesses, including product descriptions, images, videos, and other forms of product content.

We approach product content creation for ecommerce businesses by conducting thorough research on product features, benefits, and target audience, and creating compelling and SEO-friendly product descriptions, images, and videos.

Yes, there are several common mistakes that people make when trying to avoid plagiarism:

  • Not citing sources: Failure to properly cite sources is one of the most common mistakes when it comes to plagiarism. Be sure to cite all sources, even if you are paraphrasing.
  • Not using quotation marks: When directly quoting a source, use quotation marks and cite the source. Failure to use quotation marks can make it look like you are trying to pass off someone else’s words as your own.
  • Self-plagiarism: Reusing your own work without proper citation is also considered plagiarism.
  • Not understanding the difference between paraphrasing and plagiarism: Paraphrasing is when you put information from a source into your own words and cite the source. However, if you keep the same structure and wording, it would be considered plagiarism.
  • Not checking for plagiarism: Before submitting any written work, run it through a plagiarism checking tool to ensure that it is original.
  • Not understanding common knowledge: Common knowledge does not require citation. However, it’s important to understand what is considered common knowledge and what is not in your field.

By avoiding these common mistakes, you can help ensure that your written work is original and properly cited.

Data cleansing and data enrichment are two distinct processes that are used to improve the quality and usefulness of data.

Data cleansing, also known as data cleaning or data scrubbing, is the process of identifying and removing inaccuracies, inconsistencies, and duplicates from a data set. This process helps to ensure that the data is accurate and reliable, and can be used for analysis and decision-making.

Data enrichment, on the other hand, is the process of adding additional information to a data set. This can include information such as demographics, geographic data, or other relevant details that can help to provide context and insights into the data. Data Enrichment can be done by adding external data sources to the existing data, or by deriving insights from the existing data.

In summary, data cleansing is focused on removing errors and inconsistencies from a data set, while data enrichment is focused on adding additional information to a data set to make it more valuable and useful. Both are important processes for maintaining the quality and accuracy of data for analysis and decision-making.

Product data normalization and data standardization are both processes used to improve the consistency and quality of product data, but they serve different purposes.

Product data normalization is the process of making sure that the same product is represented consistently across different data sources. For example, if a product is called “Apple iPhone X” in one data source, and “iPhone X” in another, normalization would ensure that the product is consistently referred to as “Apple iPhone X” across all data sources. This process helps to eliminate confusion and inconsistencies in product data, making it easier to identify and analyze products.

Data standardization, on the other hand, is the process of making sure that product data is represented in a consistent format across different data sources. For example, if one data source lists a product’s weight in pounds, and another lists it in kilograms, data standardization would ensure that all data sources list the product’s weight in the same unit of measurement (e.g. kilograms). This process helps to ensure that data is comparable across different sources and can be easily combined and analyzed.

Both are important processes for maintaining the quality and accuracy of product data for analysis and decision-making.

Clean product data can have a significant impact on an eCommerce business by improving the customer experience, increasing sales, and reducing costs.

  • Improved customer experience: Clean product data ensures that customers can easily find and purchase the products they are looking for. It also ensures that the product information provided is accurate and consistent, reducing the likelihood of returns or customer complaints.
  • Increased sales: Clean product data can improve search engine rankings, making it more likely that customers will find your products when searching for related products. Additionally, accurate product information can increase customer trust and confidence in your brand, leading to increased sales.
  • Reduced costs: Clean product data can also help to reduce costs associated with managing and maintaining product information. By eliminating inaccuracies and inconsistencies in product data, you can reduce the time and resources required to manage product information.
  • Better inventory management: Clean and consistent product data allows businesses to have better visibility of their inventory, to optimize the stock levels, and the replenishment process

eCommerce product taxonomy development is the process of organizing products into categories and subcategories to make them easy to find and navigate. This process can have several benefits for an eCommerce business, including:

  • Improved customer experience: By organizing products into logical categories and subcategories, customers can more easily find the products they are looking for, reducing the time and effort required to browse through products.
  • Increased sales: A well-organized product taxonomy can make it easier for customers to discover new products and increase the likelihood that they will make a purchase.
  • Improved search engine rankings: A well-organized product taxonomy can also improve search engine rankings, making it more likely that customers will find your products when searching for related products.
  • Better inventory management: Organizing products into categories and subcategories can also make it easier to manage inventory, by making it easier to identify products that are running low or out of stock.
  • Better data analysis: A well-defined product taxonomy allows businesses to have better visibility of their sales and inventory data, making it easier to identify trends, patterns and take data-driven decisions
  • Better integration with other systems: A well-structured product taxonomy can help to make it easier to integrate your eCommerce platform with other systems, such as inventory management and analytics systems.

Building a legible SKU (Stock Keeping Unit) catalog is a technical and functional challenge for several reasons:

  • Technical Complexity: SKU catalogs can be large and complex, with many different variations of products and attributes to manage. This requires a robust and flexible technical infrastructure to handle the volume and complexity of data.
  • Data Quality: Ensuring the quality of the data in the SKU catalog is a major technical and functional challenge. This includes ensuring that data is accurate, complete, and consistent, and that any errors or inconsistencies are identified and corrected.
  • Data Integration: Integrating data from different sources, such as product data from suppliers, pricing data from vendors, and inventory data from warehouses, can be a technical challenge. This requires the ability to handle different data formats, mapping data to a common structure, and reconciling any conflicts.
  • Search and Navigation: Making it easy for customers to find the products they are looking for is a functional challenge that requires a well-designed search and navigation system. A technical challenge comes in designing a search and navigation system that can handle large and complex data sets, and that can adapt to changing customer needs.
  • Scalability: As eCommerce businesses grow and expand, so do the number of SKUs. The technical infrastructure of the catalog should be able to scale with the business, in order to handle the increasing volume of data.
  • Maintaining and Updating: Maintaining and updating a SKU catalog requires both technical and functional skills. Technical skills are required to manage the data, such as data quality, data integration and data structure, while functional skills are required to understand the business needs and to make sure that the catalog is aligned with them.