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SmartData Collective > Big Data > Migration Guidelines for Data-Driven Ecommerce Companies
Big DataExclusive

Migration Guidelines for Data-Driven Ecommerce Companies

It is important to avoid losing essential data when transferring from one online store platform to another.

Alexander Bekker
Alexander Bekker
6 Min Read
avoid losing ecommerce data when transferring from one online store to another
Photo 28143096 © Ml12nan | Dreamstime.com
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Data-driven ecommerce companies have a strong advantage over their competitors. As we stated before, data-driven marketing strategies are extremely valuable for ecommerce companies.

Contents
What data does your online store need to transfer?How to use the benefits of Cart2Cart?Why is the Cart2Cart service better than the other similar ones?Don’t Lose Data During the Migration Process Between Ecommerce Platforms

What kind of ROI can big data offer for the ecommerce sector? One study showed that big data helps companies in all sectors increase profitability by 60%. Ecommerce companies can increase their profit margins even more by investing in big data, because they have access to more digital information that they can use to optimize their marketing and product offering strategies.

Unfortunately, data loss is a real challenge that some data-driven ecommerce companies face. One of the biggest reasons they lose data is when they transfer from one ecommerce platform to another.

The good news is that there are migration guidelines that can help minimize the risk of data loss. Keep reading to learn how to accomplish this.

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Nowadays, it is crucial how you watch the tendencies and technologies changing. If you are not vigilant enough, you can miss some extremely significant developments that will benefit your competitors. So, what is the most optimal way to transfer Shopify store to BigCommerce? Furthermore, how can you use the benefits of migration tools for the best result in the shortest time? Let’s clear it up.

What data does your online store need to transfer?

The most important information is every piece of information your shop website contains. Every single word and figure is significant because it provides you or your customers with the relevant information allowing you to interact. 

Using the Cart2Cart migration tool, you can transfer the following data from the Shopify platform to BigCommerce:

  • You can transfer data about the products (descriptions, photos, manufacturers, categories, status, etc.) – this information also includes the meta and other data serving as settings for SEO or other purposes.
  • You can transfer data about the customers (their names and necessary addresses). This includes every piece of information available concerning countries, codes, etc.;
  • You can transfer order-related data (names of products, dates, packages, numbers, etc.). This suggests duplicates of some information about the customers, but it describes the orders themselves;
  • You can transfer data on coupons (names, periods, and how they work).
  • You can transfer content data (posts, dates, authors, etc.). This is great to move this kind of information as well because it’s an advantage when your modernized platform is connected with the previous development stages.

All of this data has helped change the ecommerce sector for the better. Therefore, it is encouraging that you can transfer almost any information you need. To find more detailed information about how and what information is transmitted, visit the shopping-cart-migration.com website.

How to use the benefits of Cart2Cart?

Starting the process with Cart2Cart is not difficult. The tool has a simple principle that you can follow to complete these tasks. The baseline idea suggests taking the following four steps:

  1. You connect your source platform – Shopify.
  2. Then establish a connection with the target tool – BigCommerce.
  3. Select which data you’d like to transfer.
  4. Start the processes. 

To make everything function, though, these four steps are not enough. To get the perfect result, you can consult the team or look for detailed data on the website to understand what to use and how much to pay. If you’re still not sure about what you will get as a result, you can try a “demo” and watch some kind of free preview of your transferred data. Then, you decide if you will use the Cart2Cart service and start the real migration process. It takes up to 5 hours on average. 

Why is the Cart2Cart service better than the other similar ones?

The benefits of the Cart2Cart service are pretty obvious. Most of them are related to the simplicity of use of the tool – you should not be an experienced user to handle the migration. The other features help and enhance this principle. Moreover, when you start operating the tool, you can always rely on the support service, which works 24/7 for you. So even if you find yourself in some confusing situation or difficulty, there’s a chance to ask for help. 

Regarding all these advantages, you may think that the service is pretty expensive, and it’s barely affordable by usual people. However, the pricing policy is more than reasonable. The Cart2Cart service offers great functionality and asks for balanced payment because the prices are not unified. You get an estimation of any case and depending on what plan and additional features you need, the price changes. 

Don’t Lose Data During the Migration Process Between Ecommerce Platforms

The ecommerce sector is being significantly disrupted by big data. Therefore, it is important to make sure that youu don’t lose data when migrating from one platform to another.

Migration between the e-commerce platforms is a deal that requires accuracy and a considerate approach to data analysis. The Cart2Cart migration tool helps eliminate most possible troubles by automating the processes and providing reliable connection channels for seamless work. Try it now to see how it works!

TAGGED:data-driven businessecommerce and big data
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ByAlexander Bekker
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Alexander Bekker is a Head of Database and BI Department at ScienceSoft. With 18 years of experience, Alexander focuses on BI solutions (data driven applications, data warehouses and ETL implementation, data analysis and data mining) in retail, healthcare, finance, and energy industries. He has been leading such large projects as private labels product analysis for 18,500+ manufacturers, global analytical system for luxury vehicle dealers and more.

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