Political Analytics

DATA SOURCES

Nielsen

o AMRLD

o AdView

o NOL

o Buzz Metrics

o IAG

Social

o FanPage

o FaceBook

o Twitter

o Pinterest

o Karma

o Klout

Web

o Google Analytics

o ComScore

o Flurry

o MixPanel

Other

o CRMs

o ERPs

o Xcel

o GPS

o POS

o Census

Voter Behavior

CATEGORIES

  • Likely to Vote
  • How Will Vote
  • Likely to Switch
  • Likely to Donate

Ad  Campaign

CAMPAIGN REACH

  • General Population Profile
  • Progressive Reach
    • Total Campaign vs. Total TV by GRP Levels (with Estimated TV costs to reach incremental online viewers)
    • Total Campaign vs. Total TV vs. Total Online by day
  • Campaign Reach and Frequency
    • Campaign R&F by TV Quantile
  • Average Frequency for Persons exposed to BOTH Platforms
  • Recency

CAMPAIGN MANAGEMENT

  • Ad Placement
  • Ad Content
  • Ad Frequency
  • Ad Spend

 

Trending

CATEGORIES

  • Topics
  • Issues
  • Approval Rating
  • Likability
  • Groups / Organization

 

Analytics for TV, Online, Mobile, Social and More…

Why Multichannel Analytics?

Multichannel Marketing is the practice of interacting with customers using a combination of indirect and direct communication channels – websites, retail stores, mail order catalogs, direct mail, email, mobile, etc. – allowing customers to use the channel of their choice when engaging with a product, service or content.

“Multichannel customers spend three to four times more than single channel customers do.”

However, despite the increase in multichannel marketing activity executives are still forced to make decisions based mostly on data from individual channels – failing to take into account the entire marketing picture. Marketing Analytics, by contrast, considers all marketing efforts across all channels over a span of time and extracts analytical results that provide invaluable assistance in driving your marketing efforts forward.

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Data Customization

The foundation to better analytics is knowing how to ask the better questions, but you first you need to figure out what are you trying to answer. Knowing all the data resources you have available and being able to utilize them in unison is the key to powerful analytics. The more data you have available – the more questions you can ask, but when merging all these resources together – the better questions you will ask, which translates to the better answers you will have.

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