Syndicated Data … Analysis for… Brand… Scientists.

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Syndicated Data … Analysis for… Brand… Scientists. Learning Objective Give students hands-on experience using syndicated data to generate market insights, which in turn drive actionable category and product/brand plans.

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Syndicated Data … Analysis for… Brand… Scientists. Learning Objective Give students hands-on experience using syndicated data to generate market insights, which in turn drive actionable category and product/brand plans. Some Questions We Often Ask. Score keeping - PowerPoint PPT Presentation

Transcript of Syndicated Data … Analysis for… Brand… Scientists.

Page 1: Syndicated Data … Analysis  for… Brand… Scientists.

Syndicated Data …

Analysis for…

Brand…

Scientists.

Learning Objective

Give students hands-on experience using syndicated data to generate market insights, which in turn drive actionable category and product/brand plans.

Page 2: Syndicated Data … Analysis  for… Brand… Scientists.

Some Questions We Often Ask

Score keeping How are we doing vis-à-vis last year? the competition?

the status quo?

Understand “causality” What factors influence our sales and share? What is

their relative influence?

Prescription What should we do?

Page 3: Syndicated Data … Analysis  for… Brand… Scientists.

Schedule from March 2011

Day 1 (1:00-5:15)- Intro; Scanner Data; Promotion Analysis; Intro to

Market Response Analysis

Day 2 (8:30-11:15; 12:45-3:30)- Market Response Analysis; Misc. Topics; CPG

Perspective (guest speaker); Valuing Customers

Day 3 (8:30-11:15; 1:00-4:15)- Social Media (guest speaker); Brita Case Study;

Entertainment Perspective (guest speaker); Experimentation; Category Analysis

Day 4 (8:30-11:15)- Loyalty Card Data (guest speaker); Reading Published

Studies