Sentences with phrase «like gender and age»

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 stereotypAnd 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 stereotypand 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.
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