Skip to main content

5 Reasons Machine Learning Is the Future of Marketing



1. It brings 'real time' to life.

The phrase “real time” has been touted among marketers for years, but it wasn’t really possible until machine learning showed up on the scene. No prior system came close to the level of responsivity that machine learning provides. Consumers see offers change by the minute based on the virtually unlimited data their behaviors create for machines to process. Facebook’s retargeting ads are just one example. Visit a website, and you don't need to wait long for an ad to surface on your timeline. 
"Machine learning and other cutting-edge technologies have opened new opportunities for investing their marketing budget smarter," says Rafa Jimenez, CEO of Adinton. The company is knee-deep in providing machine-learning solutions and more to businesses. "These new technologies allow companies analyze tons of data in real time, 24/7, getting deep insights. Managing big data and getting powerful and actionable insights are going to be the most important basis for any online business these days."

2. It eliminates business marketing's greatest enemy. 

Effective business marketing reaches its audience and creates conversions. The challenge lies in the very simple problem of marketing 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. 
Imagine your marketing efforts were seen mainly by the people you want to see them -- people who've searched for what you have to offer, or whose online behavior suggests they're mostly likely to be interested in your products or services. Machine learning has the potential to reduce much of marketing'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. 
Related: 10 Ways to Learn About Your Target Audience

3. It opens the door to marketing prophecy.

Professionals have flirted with marketing prophecy, or demand forecasting, over the years. In many cases, this planning has been accomplished based on trends and consistent purchase patterns. Adopting AI for marketing purposes offers decision-makers something 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'll be informed by data, not presented as blind suggestions to a disinterested consumer. 
Renowned developer Kevin Carroll put it this way: "Much of what we do with machine 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."
Related: Forecasting Is Hard, But It's Harder to Run a Business Without Doing It

4. It helps structure marketing content.

Copywriters use the insights at their company's or client's disposal to craft advertisements 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.
Machine learning narrows down the bracket. Then, it goes one better: It provides actual means of sentiment analysis so 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’s 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.  
Related: Connecting With Your Customer Is What Drives Relationship Marketing

5. It reduces costs.

Now that the world has moved almost completely online, machine learning can adapt to handle some of marketing's toughest challenges. Cost always is near the top of that list. 
Machine learning reduces marketing expense because it requires far fewer people to be involved. It also drastically cuts communication costs, as a majority of customers can be kept updated on offers via automatic emails, scheduled social-media posts and online ads or other content.

Comments

Popular posts from this blog

Indian Education System Is Lacking Creativity, Says Apple Co-Founder

How talented do you think you are? Well if you are an engineer or probably an MBA, you would love to flaunt your degrees, isn’t it? But wait, ask yourself, “How creative am I?”.Well, the aspect of creativity came to mind after the co-founder of Apple Steve Wozniak highlighted a dark fact about India. He is not that active in Apple now, but the credit of engineering Apple 1 certainly goes to him.In an interview, Wozniak also known as Woz, has expressed how Indian education system lacks creativity big time. Yes, the co-founder who always keeps praising creativity of Steve Jobs, finds this aspect missing in India.Wozniak believes that India is divided into 2 i.e. lower and upper. He says Indians stress hard on studying and getting a degree, after which they get big jobs; but there’s one question in his mind, “Where’s the creativity?”Wozniak further says that behavior of people in India is very structured and predictable and there’s no newness. Not only this he also stresses on the point …

Benefits to Learn MEAN Stack For Application Development?

WHAT IS MEAN
MEAN is a user-friendly full-stack JavaScript framework ideal for building dynamic websites and applications. It is a free and open-source stack designed to supply developers with a quick and organized method for creating rapid prototypes of MEAN-based web applications. One of the main benefits of the MEAN stack is that a single language, JavaScript, runs on every level of the application, making it an efficient and modern approach to web development.
                                                     Companys Using MEAN



                      GOOGLE        LINKED IN      NETFLIX         PAYPAL       UBER 
WHY LEARN MEAN? It’s hard to accomplish much on the web without JavaScript, which is the single language that runs the entire MEAN full stack and boasts one of the most active developer communities. Because every part of MEAN is written in one language, it allows unique server-side and client-side execution environments. Valued for its versatility in building fast, ro…

SEO

Search Engine Optimization is one of the techniques used to improve traffic to a website by obtaining a high-rank placement in the Search Engine Results Page (SERP) such as Google, Bing, Yahoo and others. SEO has two techniques to improve website position in SERP called ON Page SEO and OFF Page SEO: ON Page SEO: It refers to all the things that we do within our website such as title, description, content, image, keyword stuffing, internal linking, etc. Overall the on-page technique means structuring or building your website to be search engine friendly. Check out 50 Best Technical On-Page SEO Strategy that work amazingly now Off Page SEO: Off-page SEO will help make your website popular on the internet, so you can get more visibility. With the on-page techniques we can get visibility in search engines. But only off page SEO techniques will help improve your website position in SERP. Take a look at the list of top 13 best off page SEO techniques now in trend. 1. Creating Shareable Content…