Bluecore Launches Audience Insights

Jul 18, 2017

eCommerce marketers no longer need to rely on complex data integrations and a team of data analysts to understand how customers – and subset audiences – are likely to take action on future marketing campaigns. With the launch of Audience Insights, eCommerce marketers gain access to a fast and in-depth dashboard for behavioral- and product-based insights for any audience segment they choose to create. Once a marketer creates an audience within Bluecore, they can access Audience Insights to visualize how a particular segment is predicted to engage and convert, and then develop campaigns and strategies to maximize results.

Audience Insights’ simple workflow and highly visual output helps marketers and their digital and customer retention teams quickly observe trends and opportunities within specific consumer audiences. These observations are made possible through a patent-pending integration technology that ingests both customer and catalog data to deliver retail-specific insights.

The Audience Insights dashboard answers questions like:

  • What is the value of this audience? A look at the percent of overall revenue, average order value (AOV), average number of products per order, average lifetime value and average predicted lifetime value
  • What is the health of this audience? A breakdown of lost, active and at-risk customers
  • Where can I contact this audience? Details on how many customers in a particular audience can be reached in a given channel, such as email, social, display or onsite
  • How is this audience engaging with products? Showcases “Rockstars,” “Cash Cows” and “Hidden Gems” products
  • How is this audience engaging with my site? Easily understand event trends, site conversion funnel and site events comparisons
  • How is this audience engaging with my emails? A detailed view of delivered, opened and clicked emails, as well as unsubscribes based on individual audience segments
  • Who are the most interesting customers? An anonymous look at individual consumers broken down by “top spenders,” “top browsers” and “highest potential”