Content Engineering Multichannel CEM

Creation, distribute and manage intelligent multichannel content with the right content technology, strategy and engineering.

Intelligent content impacts digital maturity. Many factors go into creating and supporting digital transformation and maturity within an organization; and key to it all is content engineering.

Content engineering facilitates digital processes, cross silo governance and implementation. The vision, strategy, delivery, and ROI of customer experience marketing depends on it. Content engineering includes: Content modeling, taxonomy, metadata, schema and markup.

[A] content engineers make the most of content assets and content infrastructure investments. To run large-scale, long-term content-driven properties, [A] provides content engineering, CEM platform integration, digital maturity development, and content technology strategy and expertise. 

Digital maturity refers to the extent leaders employ digital technologies to transform an organization’s processes, asset development, distribution, and service models, all the while intelligent content lives at the core of the digital experience.

Content engineering, content modeling and structuring content enables reuse and results. Enabling reuse means content can:

  • Cross-platforms. Capture semantic meaning to take data relationships beyond page level and across channels and devices.
  • Be read by robots. Create content as entities to enable unlimited robot reuse.
  • Scale. Base content on concepts and relationships to increase likelihood that content is valid longer and reusable across numerous instances.
 

[A]'s Content Architecture and Engineering Process

Content inventory, website content audit and technical alignment

Working in step with content stakeholders, ensure a clear and complete view of the current state of content, and a plan for the future. Align the future state with the content model and taxonomy.

Content modeling

Beginning with existing data models and content types to establish a relational content model allowing for the intelligent use of content within all presentation templates, for any security or personalization variations, and for distribution to current or future external consumers or syndicators of the content. Define content types, elements, attributes, metadata, and views.

Schema analysis

Analysis of the content types and industry applicability for schema or other markup. Plan for incorporation of the schema.

Taxonomy development

Building of a relational taxonomy to support content reuse and integration, aligned with the content management platform.

Content reuse planning

Defining opportunities for the reuse of content assets, content types and elements throughout the primary digital properties and any other publishing destinations. Specifying how content will be reused in templates, widgets, and other display outputs.

Content is an asset because it produces more value than it costs.

Every content asset can have:

  • A one-time-only cost of creation
  • An ongoing lifespan
  • Many methods of distribution
  • Multiple variants
  • Increasing impressions across lifespan  

Content Technology Strategy: Architecture & Engineering

Structuring for Reuse & Intelligent Content

Every content technology strategy must include plans for laying the foundation for intelligent content assets. This includes designing a content architecture to enable structure and reuse, and engineering content asset structure within your content management and content marketing solutions.

 
Content Engineering Enables Multichannel Experiences

Enjoy these Content Engineering Resources from [A]:

Contact [A] or visit What is Content Engineering to learn more.