The dashboard allows for metrics analysis across all brands and regions for unprecedented insight into campaign performance
Because timely evaluation of marketing campaign results is essential, the pharmaceutical company sought to consolidate all campaign metrics into a single unified view to support decisions based on accurate business intelligence. Consolidation of all metrics would also enable holistic comparison of effectiveness data with defined KPIs.
The continually changing analytics technology space presented an additional challenge because the client did not want to invest in a solution that would become obsolete or ineffective as more analytics platforms were added to the marketing mix. A solution that would protect initial investment and future proof it with the ability to expand capabilities as needed was necessary to leverage the best of rapidly evolving technologies.
OpenText™ Alloy™ provides the value of faster time to market and flexibility by leveraging its cloud-native configurable services that are optimized for data integration and harmonization. In addition, the scalable solution offers the future proofing that eliminates the obsolescence risk associated with rapidly evolving technology advances.
Alloy seamlessly captures data from multiple web analytics providers and harmonizes it into a single data model for access and analysis via a thin web application dashboard. Built as a platform-as-a-service solution, it enabled the pharmaceutical client to dramatically increase the speed and agility with which valuable information is delivered across the business—while maintaining a high level of user confidence in its accuracy.
Alloy accessed application programming interfaces (APIs) to retrieve disparate data points from web analytics platforms that included Atlas Solutions by Facebook, Bing Ads, Facebook Insights, Google AdWords, Google Analytics, Google DoubleClick and YouTube. These data points are then broken down into two primary types: metrics and dimensions. Metrics consist of the actual data, for example, numbers of likes, views, clicks, impressions and subscribers. Dimensions are categorical variables that provide attribute filters on the metrics.