Digital Marketing is itself an intelligent way to reach out to potential audiences in the online space on the web. Artificial Intelligence (AI) taking all over the market leaves us thinking about how exactly digital marketers might have to re-check their marketing campaigns’ strategies.
AI in Digital Marketing will now enable marketers to build a close-knitted connection with their past and target customers. AI will provide the ability to understand individuals in a far better way than their recent interactions through campaigns and other available online platforms.
Let’s explore this further through the blog.
1. Recommendation
Or we call it Prediction Marketing. Don’t we love the recommendation feature we see on platforms like Amazon, Netflix, or even Youtube? It shows the power of Technology, which will become more impactful when AI integrates with these platforms. It will deeply work on predicting customer behaviour based on past interactions with the ads, messages, or searches. This way, we will be able to hit exactly the right customer on the right platform.
2. Personalization in Campaigns
One of the most important reasons for the success of digital marketing, whether paid or organic, is the freedom of personalization it gives, be it about the location, demographics, interests, behaviour, etc. AI Technology will enhance this feature, enabling marketers to personalize the aforesaid factors while setting up their campaigns. This personalization will hit the right target audiences, and users will also experience desired ads while using the platforms. However, the brands may lose their customers’ trust and interest through poor personalization.
3. Automated Messaging – AI Powered
We already have a few intelligent tools and automation techniques for marketers, which help brands drive automated & personalized email campaigns to target or re-target bulk customers. But with AI in place, it will be easier on the part of decision making as most of the decision-making will not be dependent upon manual interactions.
AI will efficiently decide the content to create and even factors like when, how, and where to publish and distribute the right content. Basically, the whole process can be automated with a single click.
4. Dynamic Pricing
A simple example of understanding the concept of dynamic pricing is when you book a flight from a certain app but leave without booking. After a few hours or days, you will get a different price. And sometimes, you will also notice how various marketplaces have product price fluctuations based on different seasons or month dates.
This smart Technology enables the brands to set dynamic pricing on various products and services. It can be done depending upon the demand, popularity, etc., which will directly lead to increased sales and profits of the businesses. This, again, will not require much human configuration; and all of this analysis and calculation will be technology-based.
5. AI Chatbots
Another application is AI is the AI Chatbots. The traditional one-to-one customer support services are no longer successful for businesses and have been replaced by AI Chatbots. AI semantic recognition, language processing, and voice conversion technology have ensured that AI customer service is easier to use and delivers a better experience. Compared with manual customer service, AI chatbots have many advantages.
Chatbots don’t need rest and can work efficiently 24/7.Multiple Language SupportNo limit of customers servedLarge memory to store repetitive questionsAny location, Any time.
These features give customer satisfaction and help a business grow with modern technologies.
6. Customer relationship management (CRM)
CRM is a business strategy that establishes a customer-centric approach for the business. It lets them maximize the collection of customer information and filter valid data from it. Combining CRM with AI technology and big data can maximize the collection of user information from different platforms. It will help businesses gain accurate insights into target customers and identify their needs to determine the most appropriate marketing strategy. The key is that any behaviour information will become the source of AI analysis. For example, the kind of products someone buys, which pages they browse, which tools they often use, etc.
Marketers can easily analyze potential customers’ needs and adapt AI to boost sales with all this collected data. You can better visualize the customer journey and provide the right solution to simplify the shopping experience. It will help the customer reach the checkout with recommendations that better reflect them and their habits.
7. Benefits for both
This Technology has been highly accepted by both users as well marketers. The users are happy to get the advanced search results and gain what they want as product customers. Also, additional products will be recommended that they might need next. It is a very high-level technology that may change the overall marketing structure in the future and elements that marketers are using right now. Using this powerful technology, they can build a strong business presence and establish many more online businesses that do not currently fit into traditional marketing approaches. Marketers are also finding it efficient to reach the right consumers. So we can see it is a win-win situation for everyone.
So we can conclude this with the fact that AI integrated with Digital Marketing and many more such intelligent technologies will be a great experience for online users and service providers. It will prove to be a valuable tool for existing businesses. It will also open gates for e-entrepreneurs, small business owners, and more people. It will extend opportunities for everyone to take their business to another level and enable marketers to create new ideas and expand their services. And those who will not incorporate this Technology might be on the losing side.
