Customer View

A single view of the customer is the cornerstone of effective insight development and advanced data-driven execution.

First step is to identify all relevant customer data sources. These include, for example:

• Basic customer information: id, name, zip code, email
• Communication exposure with timestamps
• Transactions
• Website clicks
• Call center interactions
• Survey responses
• Products and product hierarchies
• Store locations

Data are transferred securely to Innohead's data platform, transformed and grouped into a single customer view.

We integrate data across all common systems and handle millions of records with minimal resource drain on your IT department.

Data Mining

Discover robust and actionable patterns in your data with machine learning algorithms.

Innohead uses machine learning algorithms to address questions such as:

• What customer behaviors are predictive of near-term exit?
• What is the probability that a given customer will react positively to a costly offer?
• What characterizes a customer just before he becomes more valuable?
• Which existing customers are the most promising leads for your new product?
• What is the probability that a given customer will unsubscribe to our newsletter?

A data mining engagement starts with an introductory session identifying available data sources and initial hypotheses. Next, progressively more refined findings are presented and discussed - typically in the course of two workshops.