Carhartt uses Facebook to show off 'Everyday Icons'

Share this article:

Clothing brand Carhartt will launch a Facebook sweepstakes on Oct. 17 as part of its “Everyday Icon” campaign. Carhartt is working with its advertising AOR Team Detroit on the effort.

To enter the sweepstakes, consumers must “like” Carhartt's Facebook page, disclose their names and email addresses, and submit stories and photos of people they know who use Carhartt products in their jobs.

Each week, the clothing brand will pick one winner who will receive prizes, including Carhartt products. One grand-prize winner will earn a trip to see the Zac Brown Band perform on New Year's Eve.

The “Everyday Icons” campaign showcases consumers who wear Carhartt products while working. The first phase of the campaign launched Sept. 14 to highlight 11 such consumers on Carhartt's Facebook page.

The campaign “gives [consumers] the ability to see that Carhartt [products are worn by consumers in] a variety of occupations,” said Tim Humes, brand marketing manager for PR, entertainment marketing and events at Carhartt. He said the campaign is targeting 18-to-45-year-old males and 30-to-45-year-old females.

The sweepstakes submission form will feature an email opt-in to join Carhartt's mailing list, said Humes. He added that consumers will receive emails about the brand's products.

Share this article:
close

Next Article in Digital Marketing

Follow us on Twitter @dmnews

Latest Jobs:

Featured Listings

More in Digital Marketing

News Byte: CX Scores to Take Their Place Beside Price Listings

News Byte: CX Scores to Take Their Place ...

E-commerce aggregator PriceGrabber will begin offsetting price info with service expectations.

Data Byte: Interactive Ad Revenues Exceeding TV for the First Time

Data Byte: Interactive Ad Revenues Exceeding TV for ...

At nearly $43 billion, interactive advertising revenues exceeded broadcast for the first time in 2013.

Marketers: Data Rich and Knowledge Poor

Marketers: Data Rich and Knowledge Poor

While advertisers have become incredibly data-savvy, the most difficult challenge remains causally linking that data to outcomes that really matter.