{"id":5303,"date":"2018-01-30T15:23:24","date_gmt":"2018-01-30T17:23:24","guid":{"rendered":"https:\/\/www.fh.com.br\/eng\/?p=5303"},"modified":"2018-01-30T15:23:24","modified_gmt":"2018-01-30T17:23:24","slug":"5-reasons-machine-learning-is-the-future-of-marketing","status":"publish","type":"post","link":"https:\/\/fh.nabile.com.br\/eng\/blog-fh\/category-consulting\/5-reasons-machine-learning-is-the-future-of-marketing\/","title":{"rendered":"5 Reasons Machine Learning Is the Future of Marketing"},"content":{"rendered":"<p style=\"text-align: left\"><em>Today&#8217;s smarter business systems generally mean smarter, and more profitable, companies.<\/em><\/p>\n<p style=\"text-align: left\">I do a great deal\u00a0of research on business trends and online tools that can enhance business productivity. Naturally, I visit and monitor many websites and website content. And just as predictably, I encounter ads from those same companies on my Facebook timeline.\u00a0More surprising is how well\u00a0Facebook integrates search behavior\u00a0and online activity to increase ad campaigns&#8217; integrity and specificity.<\/p>\n<p style=\"text-align: left\">Machine learning can be defined as an application of artificial intelligence (AI) that\u00a0provides systems the ability to automatically learn and improve from experience\u00a0(without explicitly being programmed to do so). Machine learning focuses on developing computer programs that can access data, analyze it\u00a0and use it to learn.<\/p>\n<p style=\"text-align: left\">t\u2019s not just futuristic-looking products such as\u00a0Siri\u00a0and\u00a0Amazon Echo. And it&#8217;s not limited to companies we typically think of as having huge research-and-development budgets &#8212; the Googles, Facebooks and Microsofts. In reality, machine learning already is helping\u00a0nearly every Fortune 500 company run\u00a0more efficiently and make more money.<\/p>\n<p style=\"text-align: left\">Here are five reasons companies on the up should start applying machine-learning marketing strategies on their respective scales.<\/p>\n<p style=\"text-align: left\"><strong>1. It brings &#8216;real time&#8217; to life.<\/strong><\/p>\n<div class=\"pl-heroabove artntv active\" style=\"text-align: left\">\n<div class=\"row\">\n<div id=\"nativo1\" class=\"col\">\n<p>The phrase \u201creal time\u201d has been touted among marketers for years, but it wasn\u2019t really possible until machine learning showed up on the scene. No prior system came close to the level of responsivity that machine learning provides.\u00a0Consumers see offers\u00a0change by the minute based on the virtually unlimited data their behaviors\u00a0create for machines to process.\u00a0Facebook\u2019s retargeting ads\u00a0are just one example. Visit a website, and you don&#8217;t need to wait long for an ad to surface on your timeline.<\/p>\n<p>&#8220;Machine learning and other cutting-edge technologies have opened new opportunities for investing their marketing budget smarter,&#8221; says Rafa Jimenez, CEO of\u00a0Adinton. The company is knee-deep in providing machine-learning solutions and more to businesses. &#8220;These new technologies allow companies analyze tons of data in real time, 24\/7, getting deep\u00a0insights. Managing big data and getting powerful and actionable insights are going to be the most important basis for any online business these days.&#8221;<\/p>\n<p><strong>2. It eliminates business marketing&#8217;s greatest enemy.\u00a0<\/strong><\/p>\n<p>Effective business marketing reaches its audience and creates conversions. The challenge lies in\u00a0the very simple problem of\u00a0marketing waste. For want of a better strategy, marketing campaigns have taken a trial-and-error approach. Whether online or offline, campaigns essentially scatter seed on the soil in the hopes some will take root.<\/p>\n<p>Imagine your marketing efforts were seen mainly by the people you want to see them &#8212; people who&#8217;ve searched for what you have to offer, or whose online behavior suggests they&#8217;re mostly likely to be interested in your products or services.\u00a0Machine learning has the potential to reduce much of marketing&#8217;s imprecise nature. Using behavioral data, marketers can target their audiences in an efficient way that greatly improves the likelihood of converting shoppers to customers.<\/p>\n<p><strong>3. It opens the door to marketing prophecy.<\/strong><\/p>\n<p>Professionals\u00a0have flirted with marketing\u00a0prophecy, or demand forecasting, over the years. In many cases, this planning has been accomplished based on trends and consistent purchase patterns. Adopting\u00a0AI for\u00a0marketing purposes\u00a0offers decision-makers\u00a0something more concrete: the overwhelming possibility to give customers what they want before they know they want it. These efforts still will be mostly suggestions. But they&#8217;ll be informed by data, not presented as blind suggestions to a disinterested consumer.<\/p>\n<p>Renowned developer Kevin Carroll put it this way: &#8220;Much of what we do with\u00a0machine learning happens beneath the surface. Machine learning drives our algorithms for demand forecasting, product search ranking, product and deals recommendations, merchandising placements, fraud detection, translations and much more.&#8221;<\/p>\n<p><strong>4. It helps structure marketing content.<\/strong><\/p>\n<p>Copywriters use the insights at their company&#8217;s or client&#8217;s disposal to craft\u00a0advertisements and email marketing campaigns that speak to the target audience. To a large extent, though, these skilled persuasive writers must work with a blanket approach and plenty of educated guesses.<\/p>\n<p>Machine learning narrows\u00a0down the bracket. Then, it goes one better: It provides actual means of\u00a0sentiment analysis\u00a0so marketers know what to say and how the audience is likely to react. The effects of sentiment analysis are laid bare on Twitter, where marketers can monitor social chatter to see what\u2019s resonating with a specific target audience. Brand specialists and copywriters then can tweak ads immediately in response to comments and trending replies. This brings the right message to the surface.<\/p>\n<p><strong>5. It reduces costs.<\/strong><\/p>\n<p>Now that the world has moved almost completely online, machine learning can adapt to handle some of marketing&#8217;s toughest challenges. Cost always is near the top of that list.<\/p>\n<p>Machine learning reduces marketing expense\u00a0because it requires far fewer people to be involved. It also drastically cuts\u00a0communication costs,\u00a0as a majority of\u00a0customers can be kept updated on offers via automatic emails, scheduled social-media posts and online ads or other content.<\/p>\n<p>Machine learning&#8217;s precision informs production and distribution for offline materials, too. This allows marketers to pinpoint the right quantity and use the most effective channels, reducing excessive costs related to overproduction.<\/p>\n<p>Source: <a href=\"https:\/\/www.entrepreneur.com\/article\/300713\">Enterpreneur<\/a><\/p>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Today&#8217;s smarter business systems generally mean smarter, and more profitable, companies. I do a great deal\u00a0of research on business trends and online tools that can enhance business productivity. Naturally, I visit and monitor many websites and website content. And just as predictably, I encounter ads from those same companies on my Facebook timeline.\u00a0More surprising is [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":5304,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[608,616,618,619,622,623],"tags":[],"_links":{"self":[{"href":"https:\/\/fh.nabile.com.br\/eng\/wp-json\/wp\/v2\/posts\/5303"}],"collection":[{"href":"https:\/\/fh.nabile.com.br\/eng\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/fh.nabile.com.br\/eng\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/fh.nabile.com.br\/eng\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/fh.nabile.com.br\/eng\/wp-json\/wp\/v2\/comments?post=5303"}],"version-history":[{"count":0,"href":"https:\/\/fh.nabile.com.br\/eng\/wp-json\/wp\/v2\/posts\/5303\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/fh.nabile.com.br\/eng\/wp-json\/wp\/v2\/media\/5304"}],"wp:attachment":[{"href":"https:\/\/fh.nabile.com.br\/eng\/wp-json\/wp\/v2\/media?parent=5303"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/fh.nabile.com.br\/eng\/wp-json\/wp\/v2\/categories?post=5303"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/fh.nabile.com.br\/eng\/wp-json\/wp\/v2\/tags?post=5303"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}