Let AI & Machine Learning Boost your Search Marketing?

With the TECHNOLOGY CRAZE OF ARTIFICIAL INTELLIGENCE (AI), NATURAL LANGUAGE PROCESSING (NLP), MACHINE LEARNING, and chatbots, it’s important for us to know what the technology is, where it’s heading, and what how it will help on our digital marketing and SEO Campaign as a whole.

Machine learning can be defined as an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from user experience (without explicitly being programmed to do so). It enables marketers to filter through a drastically multiplying data load to turn up insights that will help them provide value to target customers while gaining returns on ROI. Even better, this form of marketing doesn’t have to to take up all their time — they can automate much of the tasks to run in the background.

Let’s see why AI should be incorporated into marketing strategies!

1. It brings ‘real time data’ to marketer’s life.

Machine Learning 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. Better yet, AI is likely to generate stronger, more viable leads. Artificial intelligence reduces missed opportunities with customers; it can take “six to eight touches to generate a viable sales lead, and there are preferred times to contact leads as well as response times that all come into play.

2. It helps to forecast your business
Marketers 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. With the right AI technology, your marketing strategy can increase the efficiency with which you generate customer contact, as well as increase your ability to respond when interest is generated by your AI.

3. It wipes out business marketing’s greatest enemy.
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. Artificial intelligence and the increased humanization of chatbots makes it possible to have customer-service representatives available to have meaningful conversations with your clients and answer all their questions, and to make this service available at any time of the day or night.
With the behavioral data, marketers can target their audiences in an efficient way that greatly improves the likelihood of converting visitors to clients.

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, copywriters must work with a blanket approach and plenty of educated guesses.

Machine learning niche 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.

5. It cut down costs.
Now that the world has transformed 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 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, newsletter, scheduled social-media posts and online ads or other content.

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