Marketing Analytics

The application of scientific methods to guide marketing efforts is undergoing significant changes. Today’s Marketing Analytics should blend in newly available non-traditional sources of data with enterprise data, and adapt to the rapidly evolving digital delivery channels.

CORE OBJECTIVE

A very micro-level view of the target audience is becoming feasible with increased digital activity. The ability to connect online and offline footprint is giving the new age marketer a 360-degree view of their prospects – including their demographics, attitudes, and behaviors.

HOW IT HELPS?

Technology, data, and analytics are driving omnichannel marketing, throughout the prospect lifecycle, with personalization at the core. This is allowing marketers to identify value propositions and the best targeting options.

WHAT IS THE ADVANTAGE?

Most businesses today have access to customer data and web analytics tools. The difference is in whether your company makes use of that data. Too often, according to the Harvard Business Review, it just ends up sitting in a server without doing anything particularly useful.

Marketing Analytics

A math-based discipline that seeks to find patterns in your marketing data to increase actionable knowledge that you can use in your marketing strategy to improve your marketing performance.

Marketing insights

Analytics employs statistics, predictive modeling, and machine learning to reveal insights and answer questions. In the world of digital marketing, analytics is critical to understanding marketing impact and predicting marketing trends, user behavior and optimizing the user experience (UX) to drive sales.

Step 1	Consumer Insights
Step 2	Omnichannel Marketing
Step 3	Product & Market Analytics