Showing posts with label "Big Data". Show all posts
Showing posts with label "Big Data". Show all posts

Monday, May 7, 2018

Marketing Managers: 3 Ways to Leverage Big Data into Big Success

For marketing managers, it is becoming increasingly imperative to combine big data with an integrated marketing communications strategy in order to increase brand awareness, relevance, and growth. As an undergraduate student in the Integrated Marketing Communications program at Northwestern University, I have found two articles that highlight two brands that have executed highly successful marketing campaigns through the creative use of data. 

The article, “Big Data as a Marketing Strategy – Spotify’s 2016 Campaign,” by Lior Schneider at Overdrive Interactive analyzes the huge success of Spotify’s data-driven campaign, “Thanks, 2016. It’s been weird.” In this campaign, Spotify shared funny, interesting, and culturally relevant insights from user data. For example, a billboard in London read, “Dear 3,749 people who streamed ‘It’s the End of the World as We Know It’ the day of the Brexit vote, hang in there.” The brand took an integrated marketing communications approach by presenting these insights across different forms of media, from billboards to sponsored advertising on social media. All in all, this campaign strengthened and raised awareness of the Spotify brand, as it generated high levels of engagement and conversation from Spotify’s users and target audience. 

Source: http://crossing-technologies.com/big-data-analytics/

Further, the article, “Dove’s New Billboards Criticize the Way the Media Discusses Female Athletes’ Looks,” by Adweek's Kristina Monlios explains how Dove created a machine-learning algorithm to detect sexist quotes about female athletes in real-time in order to increase Dove’s brand relevance and to re-establish Dove as a thought leader in conversations about beauty and body. Similar to Spotify, Dove took an integrated marketing communications approach by not only sharing insights on its social media channels, but also by live streaming negative commentary regarding female athletes’ appearances on digital billboards. The campaign encouraged people to join the conversation, challenge sexist rhetoric, tweet at media outlets, and use the #MyBeautyMySay hashtag. The campaign was widely successful, as it turned #MyBeautyMySay into a globally trending movement that reached and engaged millions of people. 

Based on my review of these two articles, as well as my relevant studies in the Integrated Marketing Communications program, here are three action items to consider when creating your next marketing campaign: 

1. Become Data-Driven –  Do not restrict big data to just behind the scenes; instead, create data-driven campaigns to share valuable insights with consumers. 

2. Be Relevant – Create campaigns with insights that are culturally relevant and interesting to your target audience.  

3. Always Engage – Create a campaign that does more than just market your brand or product; create a campaign that engages, surprises, or inspires your audience, whether that be through humor, social change, or really any method of your own choosing. 

As you prepare your next marketing campaign, think about how these three action items can leverage engagement and growth for your brand. 

  
Justine Ivanov is an undergraduate student currently pursuing a Communication Studies major, an Economics minor, and an Integrated Marketing Communications certificate at Northwestern University. 

She hopes to work in marketing upon graduating in June 2019. 

To contact Justine, you can find her on LinkedIn or Twitter

Wednesday, February 15, 2017

Business Owners: 3 Action Items to Welcome Machine Learning Revolution

As a business owner, one of the biggest concerns is how to react to machine learning when we are witnessing this revolution taking over the world. As a graduate student at Northwestern University, the Medill school of Integrated Marketing Communications, who has an interest in machine learning revolution. I have found two articles which address the subject of this problem for both business owners and advertisers.   


Business owners should join the revolution by building products and services using machine learning. The thing you might found interesting is that business owners could be a part of it even though they are not experts. When Bezos started Amazon in 1994, he wasn’t an expert on everything Internet but he used his business knowledge to find ways to take advantage of the Internet. Machine learning is the same way and it is here to stay. The winners of this revolution are the ones who use machine learning to their competitive advantages to create more powerful experiences for their customers.
Author: Aytekin Tank 
"This Is the Year of the Machine Learning Revolution"
Publication: Entrepreneur.com

(Image Credit: Colin Anderson | Getty Images)

For advertisers, machine learning can help make ad programs more efficient and can help make sure ads perform the way advertisers need them to. The algorithm behind machine learning drives it to maximize real time bidding, optimal targeting, and perform analysis in order to supplement many of the things that advertisers do best.
Author: Alexis Ng  
Publication: thedrum.com

Based on my reviews of these two articles and relevant studies I have done in the Medill Integrated Marketing Communications program at Northwestern University. I have developed three action items you should consider doing immediately. They are:
    • Ride the Wave - You don’t have to be a computer science expert to utilize machine learning in your area of specialty to build your business.
    • Become More 1-to-1 - Most advertisers use machine learning to customize email campaigns by looking at individual words and phrases you search.
    • Think Ahead - Not just with the contents of email or ad campaigns, but advertisers will soon predict ad performance before ads are served.
 The next time you hear machine learning, think about this article and ride the revolution wave.




Yutai Liu is a graduate student in the Integrated Marketing Communications program at Northwestern University focus on marketing analytics. My past working experience include marketing research, customer acquisition and marketing strategy. You can contact me on Twitter or on Linkedin.