Step-by-step guide to successful content migration
Having trouble migrating content from an old system to a new one? Navigate the intricacies of content migration with the actionable steps provided in our guide.
Written by Lucie Simonova

Having trouble migrating content from an old system to a new one? Navigate the intricacies of content migration with the actionable steps provided in our guide.
Written by Lucie Simonova

Today, businesses need to keep up with the fast pace of digital change. As a result, an upgrade from one content management system or website to another might be necessary. To execute this transition well, organizations need to adopt a strategic process for seamless content migration without disrupting the integrity and accessibility of the content.
Content migration can be a complex process. During the transition, businesses can run into issues like downtime, workflow disruptions, delays, data loss, and high migration costs. That’s why careful planning is key to making content migration go smoothly.
As organizations look for more flexible, modern systems that better support their content needs, the role of a headless content management system (CMS) like Kontent.ai becomes crucial in mitigating these challenges. The headless approach facilitates successful content migration, keeping content organized, easy to manage, accessible, and ready to scale.
Ready to dive in? First, let’s unpack the concept of content migration while also paying attention to the differences between this term and other similar concepts, including content transformation and transfer.
Have you ever moved houses? Remember how you boxed up your belongings and carefully transported them from the old house to the new one, making sure not to leave anything behind? That’s essentially what content migration involves.
As Tendo explains, content migration is the process of seamlessly moving the existing content, including text, images, videos, and other media, from one CMS or website to another while preserving its functionality. However, it goes beyond just data “lift and shift” as it often involves the strategic redesign and restructuring of content and the taxonomy so it can easily adapt to the new system.
Content migration can be confused with content transformation and transfer. While they may seem similar, they each serve different purposes.
According to Precision Content, content transformation refers to the process of making existing content reusable by a new system. Over time, website content can become outdated in how it’s written or formatted, which can make it harder to access or use. Content transformation helps fix that by applying a clear and consistent structure that makes the content more flexible.
On the other hand, content transfer is simply the movement of content from one location to another (either within a system or across different systems) without considering how it will be received by the destination location.
Essentially, content migration focuses on the strategic movement of content between systems, content transformation involves modifying the content to adapt to a new system, and content transfer refers to the simple act of moving content from one location to another.
Now that we understand the basics, let’s explore some of the risks involved in this process and what to watch out for.
The content migration process should be intentional and carefully executed, and it’s important for businesses to plan carefully to avoid running into problems during the process.
A poor content migration plan can lead to serious consequences. For instance, data loss during migration can result in losing records, customer information, and other critical data. And that’s not all. Lost data, compatibility issues, and downtime could cause organizations to face major financial losses and damage to their reputation.
That is why it’s essential to identify potential challenges and build in backup plans when creating a solid content migration strategy to reduce these risks or avoid them altogether. According to LinkedIn, there are four common challenges organizations face when attempting to migrate content. Let’s check them out.
Keeping up with content standards is one challenge businesses typically face when migrating content. Migrated content needs to stay relevant, accurate, and consistent with your brand’s style and values. To solve errors, inconsistencies, and redundancies, set clear content standards and highlight guidelines to achieve these standards. Using automated tools to cross-check your content could also prove helpful.
It’s important to adjust content to fit the new structure and metadata of the target platform, which can be tricky and often requires careful reorganization. To address this challenge, map content to the new structure, ensuring consistency with naming conventions and formats. Optimizing metadata to enhance discoverability is also important.
Post-migration, content has to remain compatible across various devices and platforms. Effective loading and delivery on the web are also essential. For that reason, testing and monitoring content performance on different platforms will help optimize it for speed and accessibility.
Managing and maintaining content after migration to keep it useful requires ongoing attention from businesses. It is important to define roles, processes, and workflows to manage your content and regularly evaluate progress using analytics and feedback tools. This will make sure that content remains relevant, up-to-date, and consistent.
When choosing a CMS, organizations should assess their unique requirements, including technical expertise, project complexity, business goals, and budget, to decide the best fit.
Generally, businesses interested in scaling and expanding their content operations tend to opt for the headless approach as it provides the flexibility, scalability, and adaptability organizations need to keep up with the changes in the current digital ecosystem.
As an industry-leading headless CMS, Kontent.ai helps teams manage key parts of an effective content marketing strategy, including content migration. Discover how, with decoupled architecture, an API-first approach, and content modeling tools, Kontent.ai stands out from other headless CMSs.
The decoupled structure of a headless CMS like Kontent.ai, where the frontend and backend are separated, allows organizations to manage the presentation layer (frontend) and content repository (backend) independently.
This setup simplifies content migration, making it more flexible and scalable than traditional all-in-one CMSs. Flexibility and scalability here mean breaking content into reusable parts, so it works across different channels. This makes it easier for teams to adjust when needs shift.
In addition, separating the frontend and backend layers streamlines the migration process and makes it more efficient. Businesses can focus on optimizing content for the migration without being slowed down by frontend changes, reducing the risk of mistakes.
Effective content modeling lies at the heart of any successful migration to a headless CMS. To seamlessly optimize content for the new environment, it has to be transformed, redesigned, and restructured. This is the core tenet of content modeling, as it typically involves structuring your content into highly reusable pieces.
Kontent.ai facilitates this transformation using content types, items, and content type elements. It also builds relationships between items with meaningful metadata and taxonomies to create a future-proof content model that doesn’t rely on short-term project details. Keep in mind that when extending content models, you’ll use content type snippets, which are reusable groups of content elements.
Now that you understand why Kontent.ai is a strong choice for a successful content migration strategy, we’ll take you through the three stages of a seamless migration to Kontent.ai. From the pre-migration stage, involving strategy planning and challenge assessment, to the migration itself, as well as the post-migration maintenance, we’ll guide you every step of the way.
Before starting a content migration journey, planning an efficient migration strategy is essential. This planning stage usually begins with an assessment of the current content architecture and includes spotting possible issues early and planning how to handle them.
Migrating from a monolithic CMS to a headless CMS like Kontent.ai will involve a few key things to think through. To begin with, you may need to restructure content from the old CMS when importing it into Kontent.ai for smooth integration. This planning stage involves deciding what content to transfer, transform, or discard.
In addition, organizations should factor in other factors, such as time, budget, resource constraints, and integration with the rest of the technology stack. Be sure to be strategic about maintaining relevance and consistency with brand standards, ensuring compatibility post-migration, and managing other post-migration demands. Thinking through all of this upfront makes the rest of the process smoother.
After planning a content migration strategy, the execution stage is next. At this stage, you export and import content from the old system to the new one, ensuring you implement your well-planned strategy. To facilitate a smooth transition, Kontent.ai offers a suite of tools and integrations.
A good starting point is our interactive guide to a smooth content migration. This resource features a learning path that covers a training use case, similar to an e-learning course, guiding you through the topic. Dive in to discover who to include at each project stage, how to review and transfer your existing content, and everything you’ll need for a smooth start.
Kontent.ai’s CLI (command line interface) supports migrations by changing content models and adapting existing content to match the changes. The CLI guides you when writing and running migration scripts; however, it only supports JavaScript files. You can choose whether to hardcode values or source them dynamically based on the amount of content you need to migrate.
To help keep content accurate and intact while migrating, Kontent.ai’s backup manager regularly backs up your project data to the data center you choose when creating the project. If any content is lost, Kontent.ai can restore accidentally deleted data if a request is made not more than 14 days after deletion.
Finally, Kontent.ai’s management API facilitates the management and migration of existing content without having to build from scratch. The solution offers a reliable and flexible means for data migration, empowering organizations to import content models, content, items, rich text, linked content, and assets through programmable methods.
The migration process doesn’t end after data is transferred and adapted into the new system. Some steps help make sure the content works as expected after migration.
Rigorous testing is essential in uncovering potential compatibility issues that might come up once content is live. This process involves validating content display, functionality, and performance. To enable a comprehensive system evaluation, organizations should create test scenarios by replicating real-world usage of the production environment.
While testing, it is important to cover various scenarios, including different devices, browsers, and screen sizes, to ensure that the content looks right and functions as intended. If something doesn’t work, teams should adjust formatting or fix errors so that the content loads properly across devices. This helps create a smooth experience for users.
Migrating to a headless CMS can be a complex process. However, by following tested and trusted industry practices for a successful migration, you’ll be able to get through it without much difficulty. Some of these best practices include training and onboarding your team, adopting the iterative migration approach, and ensuring SEO continuity. Let’s take a closer look.
To avoid confusion and mistakes, it’s important to help your team understand how a headless CMS works, especially if it’s very different from what they’re used to. Kontent.ai offers practical resources to make the learning process easier and support a smooth onboarding.
Kontent.ai Learn serves as a learning hub for training resources, offering topic-based and tracked learning for all users, including developers, managers, and content creators. This helps teams quickly learn how to use the CMS effectively and discover features they might not have noticed otherwise. Also, subscription admins can access an E-learning report outlining team members’ course progress under their subscriptions, allowing them to fine-tune and adjust their onboarding strategies based on team performance.
As AltexSoft explains, the iterative migration approach is also known as the phased or trickle migration. It essentially breaks down the entire process into smaller sub-migrations, with specific objectives, timelines, scope, and quality checks for each. It typically involves running the old and new systems simultaneously while transferring data in increments. This iterative approach will minimize disruption to ongoing operations, allowing businesses to transition without prolonged downtime.
Migrating in incremental stages makes the process easier to manage. Businesses can spot and rectify issues at each stage, preventing them from developing into larger, more complex problems. By sourcing and analyzing feedback with each iteration, you can refine and improve your migration strategy and correct mistakes before moving to the next iteration.
Maintaining a high SEO ranking before, during, and after migration is a top priority for savvy businesses. Luckily, Kontent.ai offers powerful SEO tools to help organizations migrate without negatively impacting their ranking.
Metadata plays a key role, and businesses that strive to maintain a great SEO ranking should treat their metadata with the same importance as their actual content.
Just as you are encouraged to use relevant keywords in your content, it’s recommended to use content type snippets for metadata elements. These snippets will allow you to reuse the same metadata elements for varying content types.

In addition, Kontent.ai offers URL slugs that let you customize and specify SEO-friendly text elements to build URLs for your content. These URL slugs can be automated to self-generate from content titles. Descriptive URLs generated in this way improve visibility since search engines consider URLs an important metric.

Sitemaps for search engines are also highly relevant for SEO as they make sure search engines have indexed all necessary pages. These sitemaps typically contain an unstructured list of the pages on your website. When crawling your website, search engines will first check for a sitemap and then index the pages listed in the sitemap.
Finally, leveraging Semrush keyword analytics directly from Kontent.ai enhances SEO capabilities even further. Kontent.ai provides a UI extension to allow you to display keyword analytics from your Semrush account and use the obtained information to optimize your content for SEO success.

While content migration can be quite complex, transitioning to a headless CMS like Kontent.ai can streamline this process, offering solutions to potential challenges along the way.
More and more organizations are starting to realize the benefits of headless architectures in content management, with their adaptable and future-proof content ecosystems built to handle the fast pace of modern digital needs. By following a systematic guide and adopting the industry’s best practices, businesses can confidently navigate content migration challenges and accomplish a successful migration.

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Your interactive guide to a smooth content migration
Tackle migrations like a pro. Read our guide to see how to begin your migration, set up your Kontent.ai project, and migrate your content.