Performs the tasks of
generating company profiles, research reports, business analysis on strict timelines
Not exact matches
Back then, to
generate awareness for the product, the
company created the high -
profile Explorer program in which a beta version of the device was handed out to a group of consumers for testing.
The project is detailed in the contract as a seven step process — with Kogan's
company, GSR,
generating an initial seed sample (though it does not specify how large this is here) using «online panels»; analyzing this seed training data using its own «psychometric inventories» to try to determine personality categories; the next step is Kogan's personality quiz app being deployed on Facebook to gather the full dataset from respondents and also to scrape a subset of data from their Facebook friends (here it notes: «upon consent of the respondent, the GS Technology scrapes and retains the respondent's Facebook
profile and a quantity of data on that respondent's Facebook friends»); step 4 involves the psychometric data from the seed sample, plus the Facebook
profile data and friend data all being run through proprietary modeling algorithms — which the contract specifies are based on using Facebook likes to predict personality scores, with the stated aim of predicting the «psychological, dispositional and / or attitudinal facets of each Facebook record»; this then
generates a series of scores per Facebook
profile; step 6 is to match these psychometrically scored
profiles with voter record data held by SCL — with the goal of matching (and thus scoring) at least 2M voter records for targeting voters across the 11 states; the final step is for matched records to be returned to SCL, which would then be in a position to craft messages to voters based on their modeled psychometric scores.
For example, let's compare two
companies with the same revenue
profile, but one
company generates revenue three years earlier than the other.
As I mentioned in the previous section, on top of using your
company's page to share content, your employee's
profiles are also a very valuable resource when it comes to engaging with prospects and
generating leads on LinkedIn.
When we searched for our ideal customer
profile using search engines and web crawlers to
generate lead lists, we were presented with insurmountably large lists of
companies with few contacts containing missing, out of date or inaccurate contact details,»
The best
companies use marketing automation to
generate qualified leads, leads with a detailed lead
profile which provide insight into the customer about how they got to you, what activities they engaged in along the way, how often, and when.
Swiss based Dating Factory is an International White Label Dating Affiliate platform and Dating Affiliate Network launched in September 2009, that provides a turnkey solution for internet marketers and online dating
companies., Concentrating niche communities its partners can automatically
generate high converting, targeted dating websites in 9 languages pre-populated with member
profiles from its large global database.
An online dating
company is being fined more than half a million dollars... was accused of using computer
generated profiles to send messages to users who had created free
profiles.
eHarmony, which has an estimated US marketing budget of $ 160m (# 114.8 m), will launch a search, affiliate and display campaign coupled with a high -
profile above - the - line marketing push to
generate awareness of the
company.
About DatingFactory.com Swiss based Dating Factory is an International White Label Dating Affiliate platform and Dating Affiliate Network launched in September 2009, that provides a turnkey solution for internet marketers and online dating
companies., Concentrating niche communities its partners can automatically
generate high converting, targeted dating websites in 9 languages pre-populated with member
profiles from its large global database
The FTC has fined an online dating
company for using fake, computer -
generated profiles to trick users into upgrading to paid memberships.
One way to
generate buzz for your new products and services is by using paid advertising and sponsorship packages to further elevate your
company's
profile at the Show,
generating both traffic to your booth and getting buyers focused on your products.
As seen below, the
company has
generated remarkably stable operating margins, resulting in a relatively stable earnings
profile.
Arabian Travel Market represents the perfect opportunity to raise your
company's
profile, increase brand awareness and
generate new business.
Privacy advocates argue that this could be harmful to users, such as being collected and used for advertising and marketing purposes, or sold on to other
companies, and could be compiled to
generate user
profiles to identify anonymous users.
The project is detailed in the contract as a seven step process — with Kogan's
company, GSR,
generating an initial seed sample (though it does not specify how large this is here) using «online panels»; analyzing this seed training data using its own «psychometric inventories» to try to determine personality categories; the next step is Kogan's personality quiz app being deployed on Facebook to gather the full dataset from respondents and also to scrape a subset of data from their Facebook friends (here it notes: «upon consent of the respondent, the GS Technology scrapes and retains the respondent's Facebook
profile and a quantity of data on that respondent's Facebook friends»); step 4 involves the psychometric data from the seed sample, plus the Facebook
profile data and friend data all being run through proprietary modeling algorithms — which the contract specifies are based on using Facebook likes to predict personality scores, with the stated aim of predicting the «psychological, dispositional and / or attitudinal facets of each Facebook record»; this then
generates a series of scores per Facebook
profile; step 6 is to match these psychometrically scored
profiles with voter record data held by SCL — with the goal of matching (and thus scoring) at least 2M voter records for targeting voters across the 11 states; the final step is for matched records to be returned to SCL, which would then be in a position to craft messages to voters based on their modeled psychometric scores.
Professional Experience GMR Marketing (New Berlin, WI) 6/2005 — 1/2011 Account Director, Client Services • Developed and implemented comprehensive marketing and brand strategy campaigns • Responsible for high
profile clients including Alltel, Intel, Microsoft, and T - Mobile •
Generated more than $ 10,000,000 in
company revenue through effective management • Consistently exceeded sales, ROI, and team goals ahead of schedule • Employed use of detailed metrics to analyze marketing efforts and campaign success • Hired, managed, and reviewed marketing, sales, and support services staff