The second reason to use paid social advertising is that social media sites know everything about their users — things
like their gender and age to their professions and hobbies.
«While the data for both years are highly accurate at a national level — and when broken down into major demographic groups
like gender and age — they become less reliable at the regional level where we get down to sample sizes of c. 100 to c. 200 peopleâ?
Each of these views are based on what you are seeking (called Discovery Preferences) and include attributes
like gender and age range.
To do that, you need to define your ideal customer - and determine things
like gender and age, where your customers live, what they're buying, and which social media networks they're using.
Traditionally, these are very basic questions
like gender and age.
Not exact matches
«Beginning in the 1980s... study after study started showing that those who were more socially isolated were much more likely to die during a given period than their socially connected neighbors, even after you corrected for
age,
gender,
and lifestyle choices
like exercising
and eating right.
The «
likes» list predicted
gender with 93 % accuracy
and age could be reliably determined 75 % of the time.»
Dating apps
like Skout have
age and gender data to work with as well — details we cough up in hopes of finding a kindred spirit.
Cohen was vague on many of the details behind the one million figure,
and said the company did not know statistics
like each person's
age or
gender.
Previously Twitter ad targeting was pretty broad, limited by user demographics
like gender,
age, location,
and who they're following.
Like pollsters
and data scientists have been doing for decades, we normalize our data against U.S. census data, ensuring that our panel of millions accurately matches the U.S. population to remove any
age or
gender bias (though urban geographies are slightly over-represented in our panel).
If, for example, you go after all buyers who share certain target demographics (
like, say,
age,
gender and geographic location), there's a good chance your ads will fall on deaf ears in some cases.
Advertisers now have the ability to deliver highly targeted ads to individuals over the Internet, using a treasure trove of data collected about that person's location,
likes,
age,
gender and shopping preferences.
Three researchers, Carmen Cotei
and Susan Coleman of the University of Hartford
and Joseph Farhat of Central Connecticut State University, parsed the rich data to see what effect things
like age,
gender,
and amount of startup capital had on company outcomes after five years.
Things
like age,
gender, income level, family size, employment status
and others aren't meaningful in
and of themselves, though.
The report back is that Promoter has some interesting tricks,
like tailoring responses based on the system's attempts to determine
age,
gender and emotional reactions based on visual data.
Beginning in the 1980s, Schwartz says, study after study started showing that those who were more socially isolated were much more likely to die during a given period than their socially connected neighbors, even after you corrected for
age,
gender,
and lifestyle choices
like exercising
and eating right.
(Last year, leaked internal documents indicated that part of the problem is that Facebook's algorithm protected categories
like race
and gender but not
age or social class, so that negative discussion of «white men» would raise red flags, but a post insulting «black teens» would not.)
Kogan's application, called This Is Your Digital Life, collected Facebook data, including locations,
genders,
ages and «
likes» of those who signed up to use the service, as well as their list of friends, who did not consent to have their data used.
Otherwise, specify demographic information
like location,
age,
gender,
and language.
From there, you can learn all sorts of invaluable information about your market — including their
age, location,
gender, lifestyle, relationship status, job title, pages
liked, household income, home ownership, household size, spending methods, purchase behavior,
and much more.
«It should be troubling — to «progressive» Catholics as well as others — that political operatives
like John Podesta, who has been associated with Clinton campaigns
and administrations for decades, admits that his organization set up (with funding from the Koch Brothers... I mean, George Soros) groups with the purpose of promoting a «revolution» — a «Catholic Spring» — «in which Catholics themselves demand the end of a middle
ages dictatorship
and the beginning of a little democracy
and respect for
gender equality in the Catholic church.»
I think a fair analysis would probably show that Evangelicals,
like most other Americans, vote according to their race, class,
gender,
and age.
«Normally, self - affirmation is reserved for instances in which identity is threatened in direct ways: race,
gender,
age, weight,
and the
like.
Now, the Catholic Church of the 1980s was nothing
like as potent a force as it had been in the
age of Cardinal Spellman, when it could count on the solid electoral support of most of its faithful,
and it already faced major revolts over issues of
gender and sexuality.
Future studies with larger numbers of breastfeeding mothers could allow for paired comparisons before
and after an intervention, as well as analysis of the impact of independent variables
like gender, year of training,
age, or previous breastfeeding experience.
«Always in the back of our minds, we would
like to have a slate that's balanced in terms of
age,
gender, point of view
and geography,» Melady said.
And as a bonus, our children will learn from an early age that Daddy does chores just like Mommy and it will reinforce the end of gender stereotyp
And as a bonus, our children will learn from an early
age that Daddy does chores just
like Mommy
and it will reinforce the end of gender stereotyp
and it will reinforce the end of
gender stereotypes.
«We do a random sample of more than 800 registered voters
and our sample looks
like the New York electorate both in terms of geography, bipartisan break up,
gender,
age, income etc. so we do it very carefully to ensure we get a representative sample,» said Greenberg.
Ban on
age discrimination outside the workplace i.e. when buying or receiving goods
and services
like healthcare Introducing
gender pay reports.
The association between the two conditions remained significant even when researchers adjusted for other risk factors, including
age,
gender, race, body mass index, physical activity, history of alcohol use
and smoking,
and history of other conditions
like myocardial infarction, stroke
and diabetes mellitus.
Like families, where individuals of different
gender,
age and dominance live together, several groups of insects, birds
and mammals form a well - defined social structure.
The research found
gender and age played significant roles in a customer's
like or dislike of a technology.
After controlling for things
like age, race,
and gender, they found that being on Facebook was associated with a slightly lower risk of death in a given year.
To find these patterns, data miners
like Grossman first chart their harvested facts on a scatter plot, an imaginary graph that has as many dimensions as the number of personal characteristics being evaluated, such as
age, marital status,
gender,
and geography.
Then they estimated the relationship between people's neighborhood scores
and their performance on cognitive tests over two years, factoring in issues
like age,
gender, education
and wealth, that might influence people's cognitive scores independently of neighborhood characteristics.
Look for someone
like yourself — same
gender, roughly your
age,
and one who pounds the pavement just a little bit faster than you do.
The calculator you use should ask for factors
like your
age,
gender, activity level,
and goal weight (or your current weight, if you're trying to maintain it).
It's a free calorie counter that gives you the amount of calories you need based on factors
like your
age,
gender, height, current weight
and your daily activity.
Working with athletes of all
ages,
genders, ability levels
and sports the observational evidence
and results suggest carbohydrates do need to be a part of the program for optimal performance
and health for athletes with a high volume of training especially when harder efforts
like high intensity / speed training
and / or competition is involved.
Like with any daily value, however, these proportions vary based on
age,
gender,
and personal factors.
So many factors play into our weight — genetics,
gender,
age, hormones,
and, some of us are much more sensitive
and process things
like the beloved complex carbs much differently.
Our body needs a certain amount of calories that depends on different factors
like age,
gender and muscles mass.
Dave: I've talked to a few companies who are now starting to do
like real research looking at your genome, looking at your gut biome, looking at your
age, looking at your
gender, looking at your activity levels
and then munging all that data together.
Some,
like family history,
age,
gender, ethnicity,
and socioeconomic status, are non-modifiable risk factors.
The food group serving size will depend upon various factors
like age, activity level, body size
and gender.
Lauren
and her mom, Peggy, have been long time residents of Forsyth County bringing Hatha Yoga
and Meditation
and its healthy benefits to people of all
ages,
genders and abilities, creating a tranquil space
and community of
like - minded yogis.
Now you have to always
gender,
age, strength level, what exercise you want to do, the resistance band set ups you
like the most
and where are you going to be training with your Quantum Bands.
While method # 1 is usually pretty accurate for most people, it still has the potential to be off to some degree because it doesn't account for many of those individual factors I mentioned before (
like age,
gender and activity level), all of which affect what our daily calorie maintenance level is.
These profiles contain pictures
and include other pertinent information
like age,
gender, location, education level, employment
and general interests.