Marketing Process Design

Driving great results one time is a wonderful accomplishment, however, our goal is great on-going success.

 

As clients move from a pilot program into rollouts and expansions, improvements to the operational capacity of their data-driven marketing departments become critical.

 

Similar client challenges that we've helped overcome:

• Conflicting requests from mulitple departments to support product launches, promotions, features, etc.
• Slow turnaround by groups that must provide or approve content
• Short notice demands that steal time and resources from more strategic, broader scale initiatives
• How can I develop control groups that are accurate and actionable?
• Incomplete planning from other departments requiring multiple meetings prior to program or campaign planning 

 

Issues such as these drive profitable customer acquisition and retention over both the short and long-term.

 

The M Squared Group approach focuses first on understanding our client’s current processes and needs. We then tailor key planning documents to provide organized and improved process structures aimed at helping internal department work faster and more efficiently, as well as with other groups in the organization. The outcome of improved internal department operations in conjunction with streamlined interaction with other groups is highly conducive to achieving the greater goal of business growth. M Squared Group's processes-design experience helps our clients accelerate the shift from their current state to a streamlined data-driven marketing department.

 

A key differentiator of M Squared Group is reflected in our commitment to driving client results first, rather than approaching each project within the bounds of a rigid process.  Due to our flexibility we are able to achieve short-term wins while still delivering results that exceeds client expectations. In this way, we help our clients get on the road to success, even before we have finished designing the road itself.

 

Click here to learn more about: 

• Decision Trees and Interactions
  
• Segmentation and Cluster Analysis
  
• Survey Maximization
  
• Control Groups