Architecture and Structure
SEQUENCING PERSONALIZED STORIES
Connected-Stories has the unique capability to use different advertising placements as if they were a virtual canvas, carefully preserving narratives conceived to be a sequence. The platform makes this possible because it is able to:
- Recognize the same user across different digital touchpoints, across media and across devices
- Infer the user's current status within the campaign-specific customer journey.
No customized development work is needed to use these features because the system functionalities are based on deploying cookies (available in each Connected-Stories service plan) and probabilistic building of user device graphs (activated in the highest-tier service plan). The information collected is anonymous and compliant with leading industry standards.
OPTIMIZING MEDIA BUYING
One key advantage of using Connected-Stories to boost the ad serving effectiveness is its ability to bundle placements which implements the overall content experience as designed by creatives, thereby reaching the campaign objectives. The platform is intuitive, meaning it can help advertisers optimize their media spending by selecting the placement sequences more precisely. Enabling this process in every Connected-Stories deployment project is the inclusion of an extension to the ad server tag used by the chosen ad server technology vendor.
The process of optimizing media buying deploys the same Agile methodologies used for developing and improving the core Connected-Stories platform. Agile calls for a rapid, iterative cycle of buying, measuring and applying learning. The Connected-Stories platform collects extensive metrics on placements using the ad server tag extension. The platform then analyzes campaign performance and effectiveness against our knowledge base of aggregated past campaigns as well as objectives set for the current campaign. This leads to interim outcomes from each Agile iteration, or "sprint", that can be immediately applied to buying decisions and parameters. Each sprint builds on previous rounds of decisions to reach an optimal buying profile within a short period of time, that also remains adaptable to changes in user behavior that might vary in the course of a campaign.
Interaction data are collected by each widget used inside an ad unit. Data are keyed to each user by an anonymous identifier in order to construct a picture of the overall customer experience and rate it against the campaign KPIs. We recommend cycles of two weeks in order to work with a sufficient number of data points, at least 10 million impressions per cycle. More detail can be found at /wiki/spaces/CS/pages/2949181.
Optimization actions are executed by interacting with and modifying the decision tree visualizations, accessible from the administration panel, that define the campaign's consumer journeys and story personalization rules.
INTEGRATING REAL-TIME SIGNALS
Connected-Stories' cognitive engine provides several parameters that can be used for adapting the storytelling to the user's context. The system supports information arriving from mobile devices when its SDK is linked with publishers' apps. More signals can be imported from external platforms able to push real time information, i.e. trending posts, breaking news.
To know more about supported signals see the Rules Engine section.
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