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There’s been plenty of headlines about AI and machine learning being the future of retail marketing. The concept itself can seem overwhelming and out of reach for retailers. However, more marketing organizations are gearing up to add machine learning capabilities sooner than you may think. This article is all about what machine learning marketing is and how it can improve your customer experience.



What is Machine Learning?


84% of marketing organizations are implementing or expanding AI and machine learning in 2018!
If most organizations are implementing it, then what is it?  Machine learning is the science of getting computers to learn and act like humans do, and improve their learning over time in autonomous fashion, by feeding them data and information in the form of observations and real-world integrations.



There’s a lot of academic research and forums around the concept of machine learning. For merchants though, machine learning is giving customer data to computer systems so it can analyze the data and automatically learn and improve. Machine learning marketing then is using these types of technologies to provide better services and experiences to your customers. Think of products like Siri, Amazon Echo or services like Facebook’s retargeting ads. No matter how machine learning or AI is being used, it all comes down utilizing accurate customer data.



Benefits of Machine Learning for Commerce
Why are merchants using machine learning and AI? The answer is bettering customer experiences!
75% of enterprises using AI and machine learning enhance customer satisfaction by more than 10%. Customers no longer shop and buy on price and quality alone. They’re looking for intuitive customer experiences that make purchasing easy, convenient, and personalized to their needs. That’s a tall order for merchants, but machine learning marketing is a way to get there.
Here are some of the major benefits of implementing machine learning for your business that help improve the customer experience:


Real-time Marketing across Digital Platforms
Marketing is all about getting the right message to the right person at the right time. Machine learning is now making that a reality for merchants. AI systems have unparalleled level of responsivity when it comes to analyzing customer data and then delivering. For example, technology utilizes a customer’s web history to deliver fast and accurate content based on a customer’s interests.


Personalization
According to a recent reports, two-thirds of consumers are more likely to buy from a retailer that recognizes them by name, recommends options based on past purchases, OR knows their purchase history. Machine learning can handle your Big Data so you can utilize it to better know your customers. Your customers will actually feel like you know them, not just that you’re selling to them.


Service or Support
A lot of merchants struggle with providing quick and helpful customer support when something goes wrong. With machine learning, you can automate parts of your customer service to ensure quicker response times and offer 24×7 support. As an example, many companies are already using chatbots for part of the process on both their websites and mobile apps to answer easy customer questions.



Future Product Development
If you know your customers better, you also understand their needs. Customer data from machine learning is also valuable for future product development. You can identify customer needs easier and tweak or create new products that you’ll know your customers will love.

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Artificial intelligence is going to change everything we do in advertising and marketing, but not in the way we think. The truth is that if used correctly, RPA software and intelligent machine learning can give companies and agencies the power to provide extraordinary experiences for customers. The kind of campaigns that move the customer on an emotional level.

After all, that is the key to a loyal customer base. The people who come back again and again because they know on a gut level that a business understands them. Steve Jobs saw this after a calligraphy class inspired his design for the iconic mac fonts. Creativity and intelligent automation seem like the furthest concepts from one another, but in fact, they are intrinsically connected.

We are currently drowning in a sea of data. This data contains valuable information about consumer preferences, their likes, and dislikes. The key to creating something that consumers truly want. Even giants, such as holding companies dedicate a massive amount of resources to crunching the numbers.

Combining AI with creativity can open up a whole new field of marketing and advertising. There are three ways this can take shape, and they are all interconnected.

Targeted Experiences - when you add AI to the marketing mix, it opens up a whole new category in the funnel. This means curated experiences for every different type of customer in the market. Capturing Millenials and Baby Boomers with the same campaign, using powerful messaging that appeal to each group. This isn't the stuff of tomorrow. Many agencies are already deploying AI technologies to their advantage and producing creative that works across the board. According to Entrepreneur, AI will help companies target customers more accurately and place budget dollars where they belong.

Tighter Budgets - speaking of dollars, the analytical power of AI software will help solve one of the most age-old problems in advertising. Funding campaigns that deliver on ROI and help companies take calculated risks that pay off. Marketing and creative wants the budgets to be higher, and businesses want to cut costs. There is no "right" or "wrong" party here. A large part of advertising is trial and error, but that means wasted money. However, when businesses and agencies use intelligent machine learning software to analyze customer data, a lot of the guesswork goes out the window. This creates a positive feedback loop, where money can flow to the projects that need it and build richer marketing experiences.

A Marriage of Creative and Data - any marketing manager worth their salt knows that the best creative is made possible by data and analytics. Machine learning algorithms are making this symbiotic loop stronger. They perform elaborate functions without slowing down the customer experience. This allows creative teams to get fast feedback, giving businesses time to change their approach and become agile. Instead of waiting for analysis to determine if a campaign is resonating, with MLA's, companies can get results almost in real time.

Don Draper would have killed for the kind of value AI can add to creative. It's a chance to leave the guesswork behind and make more impactful campaigns. Like it or not, advertising and marketing are just one of the many fields AI is going to change.

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