Dynamic Image Assembly in Email Campaigns
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Solution Overview
Problem
Existing methods for creating targeted electronic messages are inefficient in personalizing image content at scale, requiring manual creation of unique images for each recipient, which is time-consuming and resource-intensive for large customer bases.
Innovation Solution
An email engine that automatically generates targeted messages by using markup language tags to concatenate image objects, allowing for the creation of personalized compound images, such as credit cards or business cards, without the need for detailed, unique images for each recipient, by referencing stored image objects and inserting scripting language to customize the content dynamically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual creation of unique images for each recipient is used, then personalization quality is improved, but time consumption and resource intensity increase significantly
Solution Approach 1:
The patent segments the image content into a reusable template portion and a variable portion. The template contains the static design elements that remain the same for all recipients, while the variable portion is dynamically generated using markup language tags that reference stored image objects. This segmentation allows the system to reuse the template across thousands of messages while only customizing the specific variable elements for each recipient.
Solution Approach 2:
The patent uses copying by creating a single master template image that can be reused indefinitely. Instead of creating unique images for each recipient, the system copies the template and dynamically inserts personalized elements through markup language tags. This copying approach maintains consistent quality across all messages while dramatically reducing the time and resources required for message generation.
2Adaptability or versatility
If unique detailed images are created for each recipient, then message customization is improved, but resource consumption and storage requirements increase
Solution Approach 1:
The patent implements universality by designing a single template image that serves all recipients. The template contains all the static design elements, branding, and layout information that are common to every message. This universal template eliminates the need to store multiple versions of the same base image, significantly reducing storage requirements while maintaining full customization capability through dynamic element insertion.
Solution Approach 2:
The patent segments the image content into a reusable template portion and a variable portion. The template contains the static design elements that remain the same for all recipients, while the variable portion is dynamically generated using markup language tags that reference stored image objects. This segmentation allows the system to reuse the template across thousands of messages while only customizing the specific variable elements for each recipient.
3Productivity
If automated generation using templates is used, then productivity is improved, but personalization quality may deteriorate
Solution Approach 1:
The patent introduces dynamics by using markup language tags that can dynamically reference different image objects based on recipient-specific data. The template structure remains static, but the content it references is dynamically selected and assembled during message generation. This dynamic approach allows the system to maintain high productivity through template reuse while achieving high personalization quality by customizing specific elements for each recipient.
Solution Approach 2:
The patent uses markup language tags as an intermediary between the static template and the dynamic personalized content. The tags serve as placeholders that are automatically replaced with recipient-specific image objects during message generation. This intermediary mechanism allows the system to seamlessly combine the efficiency of template-based automation with the quality of personalized content without manual intervention.
Data Source
AI summary
A number of sets of recipients of an electronic messaging protocol message distribution campaign are identified. Each set can be one or more recipients. Scripting language is added to each message directed to a recipient. The added scripting language refers to a number of image objects/files that have been selected to form a compound image (when juxtaposed). The compound image is unique to one of the sets. Other embodiments are also described and claimed.