Using Context Demographics and Segmentation

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Thank you for registering for our latest DPAA: Homeroom Webinar. Please keep an eye out for communications from DPAA— we will provide each registrant with a SECURE ZOOM LINK closer to the event date.

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Online Event

Sales Have Ended

Registrations are closed
Thank you for registering for our latest DPAA: Homeroom Webinar. Please keep an eye out for communications from DPAA— we will provide each registrant with a SECURE ZOOM LINK closer to the event date.
Event description
This session is part of the 'DPAA: Homeroom' learn from home series.

About this Event

Using Analytics to Understand Consumers, Neighborhoods and Advertising

Every brand needs to better understand their customers. Information such as crime, real estate sales, school ratings, ease of transportation, and even weather are necessary to understand customer activity, preferences, and accessibility to your stores. This wide array of data can reveal insights into the desirability of a location, assign risk, determine retail site selection, or aid in development and investment planning. Even with the powerful analytics available today, how can brands make sense of hundreds, even thousands of data variables and translate them into actionable insight? Aggregating data at a neighborhood level provides the necessary granularity at a manageable level for these analytics.

Customer analytics vary by industry – what’s important for retail clothing stores isn’t always important for a telecom client, etc. Join Precisely Demographics product managers Andy Peloe and Dylan Conrad as they describe how Precisely has done the work of aggregating diverse types of data so that you can more easily answer important questions for your business as well as your customers.

This webinar will help you:

  • Partner with your clients and choose the right data variables and granularity
  • More accurately identify target customer markets based on dynamic demographics
  • Understand retail performance and site selection based on neighborhood profiles
  • Use measured analytics to tell a story about a neighborhood
  • Identify trends to support investment strategies
  • Accurately assign risk

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