Find-it-First more efficiently ingests, analyzes and categorizes complex data and content.
Find-it-First more effectively displays relevant content personalized for different users based on their preferences.
Find-it-First is a unique combination of agencyQ’s proprietary APIs and software designed to integrate seamlessly into existing client IT infrastructures, Sitecore® Experience Platform™ and marketing automation systems.
Find-it-First is a finalist for Technology Innovation at the ACT-IAC Igniting Innovation 2019 Awards!
Any organization that wants to enhance customer experience and reduce content processing time and cost will benefit from Find-it-First (FiF).
Organizations with large amounts of complex content benefit from reduced demands on staff time and improved customer experience for users who engage and interact with the content.
Organizations that benefit have:
FiF uses the power of artificial intelligence, natural language processing, and deep learning algorithms to create custom classifiers and classes to index and catalog content rapidly. FiF is innovative in the way it tackles the challenges of ingesting, analyzing and categorizing complex, technical and specialized scientific data and content. This is done by using an integrated system of AI, natural language processing, visual recognition (for images), search functionality and content management tools tied together, which are automated through agencyQ’s FiF software. FiF’s natural language API gains insight from structured and unstructured content using a unique semantic analysis process that analyzes and categorizes content via dynamically inferred context and concepts rather than relying on traditional keyword methods. agencyQ’s FiF platform incorporates a data-driven proprietary algorithm that creates a closed loop system between the back-end content management systems, customer relationship management systems, and any front-end digital engagement touch point — including internal and external websites, social channels, email, and mobile.
Better targeting to different audiences. Faster personalization and optimization. Content easier to understand and navigate. Architected and built to create a quicker and more fulfilling customer experience, FiF emphasizes speed, accuracy and adaptability by leveraging proprietary algorithms and analytics to enrich data for warehousing in a central content repository. FiF’s innovation stems from the proprietary algorithms developed by agencyQ integrated with the intelligent automated analysis and recommendation engines that power FiF. These drive the critical information and strategic insights necessary to deliver the highest value, most relevant personalized content for each and every target audience member. The agencyQ algorithm continually measures and optimizes content elements based on a user’s observed engagement with every piece of content across all digital channels. FiF determines the “intentionality” they exhibit and then refines the content so that it is tailored specifically to each different persona to increase interest and engagement with that persona.
Different types of users will see different types and styles of content automatically displayed on the website and in search results based on an analysis of how they engage with and search for specific information.
FiF enables clients to influence search results based on a user’s likely persona. This results in more readily accessible and relevant content, enables users to interact with a website more naturally, and cuts search time in half.
Built-in machine learning allows the FiF platform to identify and tag content more accurately over time as more data is available to analyze and categorize. Due to its built-in automation, the analysis and categorization of data and content by FiF is faster, more efficient and more accurate so that the end-user can spend more time on high-value analysis, conclusions insights, and actions from data rather than spending time manually doing administrative and rote tasks better accomplished through intelligent automation.
FiF combines persona development and customer journey mapping to automatically guide desired interactions with users, create personalized content based on the most likely persona and provide trigger signals for marketers to take human interaction when desired. The secret sauce in FiF is a system of proprietary and repeatable algorithms that continually looks at known user data (demographic, firmographic, etc.) and intentionality data in near real-time to continuously “nudge” users back into the customer journey path to create the best chance of desired outcomes. FiF is guided by an overlay of customer journey mapping and can be customized to any customer experience use case where there is (1) a mappable desired outcome, (2) a system of digital interactions and, optionally, (3) a system of desired human interactions.
Content editors can analyze how particular pieces of content are performing and review user search and engagement patterns. Dashboards can be adapted for use in any organization. The complementary engagement analytics tool built into FiF provides ongoing engagement KPIs and metrics to accurately measure engagement and conversion rates that determine how each end-user is interacting with different pieces of content across various channels.
Related content can be analyzed based on a combination of content age, NLP metadata and content editor boosting:
Find-it-First and FiF are registered in the U.S. Patent and Trademark Office.
The use of DoE logos or images do not imply endorsement.