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jerryking : demographic_information   5

Mobile Ad Targeting Is Improving, According to Nielsen - WSJ
Nov. 22, 2016

Ad targeting accuracy varied based on the demographic groups that campaigns were aimed at, however. For example, desktop ads performed better than mobile ads when targeting broader age ranges.

Conversely, Nielsen said mobile campaigns were more effective in connecting with narrower audiences. For example, for campaigns aimed at people aged between 18 and 34, 63% of mobile ads reached their intended demographic target, compared with 53% on desktop.

Despite advances in targeting technology, Nielsen said it remains highly unlikely that digital ad campaigns could ever achieve a 100% on-target percentage, because of consumer behaviors such as misrepresenting their age or gender, or sharing digital devices with family and friends.
mobile_phones  smartphones  advertising  targeting  LBMA  Nielsen  consumer_behavior  misrepresentation  demographic_information 
february 2017 by jerryking
Bell planning to use customers' data to target ads - The Globe and Mail
Oct. 22 2013 | The Globe and Mail | SUSAN KRASHINSKY.

Bell Canada is planning to use information about its customers’ accounts and Internet use to target ads to them.

The information Bell will be using includes Internet activity from both mobile devices and computers, including Web pages customers have visited and search terms they have entered; customers’ location; use of apps and other device features; television viewing habits; and “calling patterns.” Account information shared will include product use including type of device, payment patterns, language preferences, postal codes, and demographic information.
Susan_Krashinsky  Bell_Canada  data  data_driven  data_mining  demographic_information  massive_data_sets  target_marketing  behavioural_targeting  online_behaviour  metadata 
november 2013 by jerryking
Toronto website gives deep look at neighbourhood statistics - The Globe and Mail
, Jun. 29, 2011
Want to know what neighbourhood has the highest graduation rates, the
most trees or the greatest number of car accidents?

The answers are now a click away with a new hub on the city website.
Wellbeing Toronto lets users map an array of services and demographic
information and compare the results across 140 neighbourhoods. Users can
see basic information about a neighbourhood, such as average family
income, education level and age of population by sliding their cursor
over an interactive city map. They also can delve deeper to plot
services such as daycare centres, transit stops, and even convenience
stores and supermarkets in a specific area and see how they stack up
with other parts of the city.
Toronto  websites  community  statistics  neighbourhoods  demographic_information  Elizabeth_Church  municipalities  mapping  open_data  crowdsourcing 
july 2011 by jerryking
Think Smarter About Risk -
JUNE 14, 2010 | Wall Street Journal | By MOSHE A. MILEVSKY.
Too many investors may be taking big chances with their money because
they aren't considering the most important asset of all: themselves.
"Eventually some clever teenager will develop an iPod app in which users
specify background demographic information about themselves, where they
live, educational achievements, job history, etc. They will then
receive daily updates on the value of their entire personal balance
sheet, including their human-capital value and personal beta. At first
this mark-to-market value of You Inc. will be crude, blunt and
controversial. But over time—and by tapping into the vast array of data
from the clouds—this valuation will be refined to the same level of
accuracy as any closing price on a mutual fund....One thing, though, is
certain: Knowing your personal beta will help you manage your total risk
more effectively. And that is always a safe strategy."
howto  risk-assessment  insurance  massive_data_sets  cloud_computing  personal_finance  derivatives  human_capital  hedging  risk-management  VaR  personal_data  personal_beta  quantified_self  risks  demographic_information 
june 2010 by jerryking
Why a Product’s Job Matters
April 18, 2007 | - The Informed Reader - WSJ | by Robin
Moroney. A basic principle of business–knowing what consumers want from
a particular product–is often ignored by corporations. Many businesses
focus on qualities that are largely irrelevant to the consumers’ buying
decisions, such as product prices, or data on customer age, gender and
marital status. Some business-to-business companies slice their markets
by industry; others by size of business. The problem with such
segmentation schemes is that they are static. Customers’ buying
behaviors change far more often than their demographics, psychographics
or attitudes. This leads to situations in which, in the words of the
late business guru Peter Drucker, “the customer rarely buys what the
business thinks it sells him.”
Peter_Drucker  Clayton_Christensen  Scott_Anthony  segmentation  marketing  market_segmentation  static  dynamic  purchase_decisions  hiring-a-product-to-do-a-specific-job  B2B  demographics  psychographics  attitudes  demographic_information  relevance  consumer_behavior  behavioral_change  irrelevance 
january 2010 by jerryking

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