AI is no longer a far-fetched thought; now it has become a reality today. AI-powered marketing is vital to scale a business with smarter and more efficient ways. But what does AI marketing look like beyond these fancy talks? How has it managed to seep into the market so deeply that today it is no longer a luxury but a necessity, so much so that it has reshaped the entire marketing workflow. 

This blog explores what AI-powered marketing actually does beyond the theories, with some real-world examples to understand its power and potential that it brings to the table.

AI in Content Writing: Write Smartly and Precisely 

Content writing is key to conveying ideas and purpose in the marketing sector. With clear delivery of content, it is easy to reach the targeted audience. With AI coming into play, the task just got simpler and more creative as integration of AI into content writing helps with tasks such as:

• Creating content outlines with improvised versions.
• Generating ideas and topics that are trending on the lists.
• Boosting Search Engine Optimisation (SEO) by improving search rankings.
• Identifying keywords and relatable content by analysing big data.
• Personalised content on the business website for each customer.
• Creating audio and videos for content to appear more appealing.

Practical Example:

For instance, a travel agency wants to attract customers. Instead of guessing and brainstorming, the team can simply use AI to look for the most searched trendy travel destinations. What AI does is that: 

• It looks for patterns in the most searched destinations of the season.
• Looks for places gaining popularity and suggests content likewise.
• It suggests content with keywords and modifies content as per the trends.
• With the use of keywords, the search rankings improve, boosting the visibility of the company.

AI-driven personalised Emails

Marketing through Emails is one of the most relevant forms of advertising products and services. But what if these Emails carry a personal touch that engages customers with brands and are no longer the same boring, automated, repetitive ones? Well, that’s what AI in Email marketing does.

• Predicts the best time to send emails for maximum engagement and visibility.
• Creates hook lines that are customised for each customer.
• Recommends products as per the customer’s liking.
• Sends live sales and offer pop-ups with personalised offers.

Practical Example:

Suppose an online makeup brand uses AI-powered Email marketing to understand customer purchase behaviour. If a customer constantly buys or browses matte lipsticks, what AI does is that it analyses the pattern and automatically:

• It will send personalised emails related to matte lipsticks.
• It will also recommend products that would complement the products, such as a lip gloss or a lipliner, maybe.
• It would then send the best offers available on the products that the customer browsed or added to the wish list.

This is one of the most powerful ways of digital marketing, wherein the brand makes the customer feel important and valued, building brand trust and sparking conversation about the brand as well.

AI in Social Media Marketing: The Era We Live In 

AI-backed social media marketing is defining the new age marketing; the brand presence and popularity on social media mirrors the market position and relevance of the brand. For companies to upgrade their marketing game, it is important to adopt new age AI-powered social media marketing techniques, which allow:

• To identify the best time to post to attract maximum viewers.
• Suggests trendy hashtags to promote brand reach.
• Generates catchy captions that are trendy and relatable.
• Identifies the target audience based on who visited or searched for the brand the most.
• Builds a community online for the brand by real-time engagements.

Practical Example:

A café uses AI-powered social media marketing to attract customers. With the help of AI, it discovers that a certain drink, matcha, is gaining popularity among youth, and tutorial videos of making matcha are going viral. Based on this data, AI suggests:

• Kind of content to be posted, like new matcha recipes.
• Best time to post it.
• How to make the video aesthetically more appealing to the youth.

Instead of using hit-and-trial methods to boost business, one can resort to AI social media marketing and figure out what works best for the business as per the market demands.

AI in Paid Marketing: Turning Ads into Impact

Advertisements are powerful means to reach the audience and scale business, but traditional methods are not enough anymore; they also need to be upgraded with time. That’s when AI comes into play:

• It monitors who is using brand websites.
• Tracks which ads customers are interested in.
• Helps with generating creatives for the ads as per the audience’s interests.
• Reduces cost by pausing ads that aren’t performing.
• Based on the data collected, AI makes decisions in real time about what the next move should be.
• It also reduces the hassle of constantly manually monitoring ads, as in the case of traditional methods.

Practical Example:

Taking a real-world situation into account, a customer adds a pair of sunglasses to the cart and leaves it at the checkout.

Now, what does AI do?

• It monitors that the customer intends to buy it, so now the ads for the same pair of sunglasses pop up everywhere on Instagram, Facebook, and YouTube.
• To pursue the customer further, a special offer may appear for a limited time.
• May suggest similar styles.
• Create urgency by sending reminders like “few left in stock.”

All these actions and decisions are taken in real time by AI after understanding the intent and behaviour of the customer towards the products, and accordingly, AI drops personalised ads with limited offers to convince the customers to buy the products.

AI for marketing analytics: Decisions based on data 

With massive data circulating online, it becomes difficult to extract useful information that works for the brand. Although a lot of information floating online might seem like a great opportunity, it poses a greater challenge to filter out information that helps make the right decisions.

This is something AI makes a lot easier by:

• Analysing huge data, identifying data that is useful, and turning it into meaningful data.
• This data provides a clear picture of the market, customer behaviour pattern, and brand position in the market.
• Now the data can be utilised to make better decisions based on concrete evidence.

Practical Example:

To monitor the sales of a shampoo in a traditional way, one would constantly manually monitor purchases, website visits, and so on, multiple times a day, which is a very time-consuming process, but with AI in marketing analytics, it is a piece of cake.

• Well, AI would simply monitor searches for the same shampoo.
• Then analyse which segment of the audience is more interested.
• Which reels are going viral for this product?

Based on this data, AI will help make decisions regarding which direction to move the budget and content that will trend instantly. 

AI use cases in digital marketing have become deeply rooted today and have created a marketing ecosystem of its own that is hard to ignore. To ace the marketing game, the brands need to evolve from traditional automation to this new innovation. Now the question is not about adopting AI, it is about using it to its best potential and extracting the best out of it to stand out in this AI-driven world.