Join us for this live webinar on Tuesday, October 27 at 10 a.m. Pacific, 1 p.m. Eastern. Register here for free.
Let’s face it: We all appreciate some special attention every now and then. Who doesn’t love being treated like a superstar? For marketers targeting a widespread audience, it seems nearly impossible to give everyone the one-on-one treatment. How do you make a customer feel like they’re being personally cared for without it coming off as generic?
[aditude-amp id="flyingcarpet" targeting='{"env":"staging","page_type":"article","post_id":1814385,"post_type":"vbwebinar","post_chan":"none","tags":null,"ai":false,"category":"none","all_categories":"big-data,bots,business,enterprise,entrepreneur,marketing,mobile,","session":"D"}']Thankfully, the answer on how to specifically market to your audience isn’t as secretive as you would think. In fact, you’ve seen this practice in motion whenever you log on to Facebook, Netflix, or Amazon. It’s called machine learning and it’s responsible for figuring out the type of posts you want to see on your feed or what items to add to your wish list. By analyzing the trends associated with your users, you can figure out how to cater to your user base and attract new ones in the process — and predict how they will behave.
Need to bring in an audience that spends money like they breath in air? By identifying the buying patterns of consumers, you’ll be able to find out what draws in big spenders, thereby giving you the knowledge needed to persuade them to your side. Or, in regards to your current users, you can determine how to market products to them they didn’t even know they wanted to buy — as in the case of Target, who used machine learning to sell pregnant women on baby products before the day of birth.
As exciting as personalization aided by machine learning may be, there’s certainly a balancing act to it. When Target marketed baby products to a teen who hadn’t even told her pregnancy to her father, the company acknowledged it made consumers queasy on the entire practice. In addition to possibly coming off as a creep to your customer, the outright act of analyzing data to identify specific spending patterns can appear overwhelming to anyone unfamiliar with the concept.
It’s why this webinar featuring Martijn Scheijbeler, Bob Colner, Tom Davis and Andrew Jones is essential viewing for anyone interested in effectively using machine learning and predictive analytics to drive up sales. This webinar will review the ways marketers are using machine learning to grow their business, such as The Next Web company which continuously uses personalized engagements to reach success. It will also discuss the analytic tools available and how to put the results to good use — allowing you to treat your customers like royalty, while you reap the profits.
Don’t miss out!
In this webinar, you will learn:
- How modern marketers have already started implementing the same powerful machine learning being used by Facebook and Amazon.
- How companies like The Next Web and Forbes Media have found success in repeatedly maximizing engagement through 1:1.
- What types of insights that machine learning will surface for you faster and with greater accuracy than previously available.
Featured speakers:
Martijn Scheijbeler, Director of Marketing at The Next Web
Tom Davis, Chief Marketing Officer at Forbes Media
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Bob Colner, Director of Analytics at Boomtrain
Andrew Jones, Sr. Analyst at VB Insight
This webinar is sponsored by Boomtrain.