Integrating AI into your marketing strategy can prove to be a game changer for your brand

The increasing number of digital platforms is keeping brands on their toes. This puts a lot of pressure on brands to understand and reach their customers with the right messaging. With AI, marketers can understand their customers’ behaviors and identify their affinity. Therefore, they can target the right messaging to the right person in a faster and effective way.

It’s no surprise that Artificial Intelligence (AI) is leading the way in almost every industry it is adopted. The latest statistics show that current AI technology can boost business productivity by up to 40%.

Before we dive into how brands have been benefiting from AI, let's check out some latest statistics about AI in marketing and its growth.

Global growth of AI in marketing (2020-2028)

It is estimated that the Global Growth of the AI sector in marketing for the timeline of 2020-2028 with an exponentially growth of the sector by 107.54 Billion Dollars(USD) by the end of 2028, currently at 20.82 Billion Dollars(USD).

Prominently,AI is making possible transitions and growth of newer ideas to meet the demands.

Source: Statista 

76%     

Customers expect brands to understand their needs and requirements. Using AI allows brands to crunch a huge amount of marketing data analytics from social media, emails, and the Web in a relatively faster time.

32%     

Use of AI along with automation for paid advertising, as well as for the personalization of email messages and offers.

83%     

 Early AI adopters have already achieved substantial (30%) or moderate (53%) economic benefits.

All these numbers are upscaling and the reason why it is the next pedestal for brands is basically because of these four approaches that AI has made possible for everyone :

• Thinking humanly

• Thinking rationally

• Acting humanely

• Acting rationally

Moreover, the use cases are growing with time. 

Brands and AI

Brands innovating customer experiences
 

With the growing population of brands, many are struggling to grasp their consumer’s curiosity. In this era of social media, setting yourself apart is vital for a brand's visibility with intention. AI can help you innovate your customer’s experience by offering the most value-adding version of your products and services to them. For instance, Nike invested in an automated system that allowed its customers to design customized sneakers. Apart from grabbing eyeballs, it also helped them to collect more data and plan their future products accordingly. Such AI-driven techniques help companies to understand the purchase behavior, likes, dislikes, and preferences which is crucial in refining your campaign’s messaging. With more brands struggling to just get noticed, AI is set to see a boom in building AR/ VR marketing. This revolution in shopping experiences will bring customer engagement and retention in unique ways.

Glocalising context and preferences
 

With almost 58% of the population present online, many brands are focusing on using this extracted data to assist in better and relevant purchasing experiences.

Here’s where AI-backed tools step in. They allow you to lend an ear to what your customers want out of your service/ products through its granular segmentation approach and social listening skills in a relatively faster time. Supported by big data techniques of collecting and analyzing, marketers can now have an ‘omni channel view’ of their consumer’s journey. This data also helps in predictive marketing that encourages the audience to take action so that upcoming experiences would be contextual and relevant. 

Metrics and other tricks of AI
 

As consumers evolve, data evolves too. No amount of third-party data and physically recorded information can compete with the real-time numbers that you receive on your own campaign through AI-driven campaign tools. This massive input of data can be easily analyzed to understand consumers purchasing patterns and improve their experience supported with visual representations.

For instance, on an influencer marketing campaign with more than 100+ influencers’ data coming from various content types, and platforms along with their own set of follower hierarchy, it becomes difficult to track even the broad interactions let alone the niche ones. Enter innovative automated solutions such as hypothesis, helping you in all stages of your campaign planning to keep an eye on multiple profiles and the different KPIs that are achieved in real-time with its clutter-free, effective visuals.

Curating content to your heart’s content
 

This brings us to content curation, a time-consuming, complex process that needs to be backed up with research. While it lets us tap into our creative side, whether coming up with a video script or a fun copy, it can be very overwhelming to go through the entire process alone with every content byte. This is why almost 57% of marketers are planning on using AI-based applications in the next two years. These tools don’t come up with the suggestions all by themselves, they need humane prompts. So marketers will still have to input the tonality, descriptions, and ideas for the system to present you with options. This relationship between marketers and AI not only helps in providing fresh perspectives but also in improving the tool itself. 

AI Makeshift - Hypothesis
 

Many times content curation is a time-consuming, complex process that needs to be backed up with research. Despite every nine out of ten marketers relying on the creator economy through influencer marketing, tracking this content from multiple KPIs perspectives becomes difficult. Not to mention the difficulty in collaborating with multiple stakeholders at the same time on this data. 

Hypothesis, an influencer marketing-based AI tool, made the possibility to input different data points with ready-to-use templates and filters that suit your campaign needs and scale. 

It then processes all your pre and post-campaign information and presents you with relevant insights.

Platforms like these help you to overcome the fear of not just being tech savvy but also eliminating the dread of staring at the blank Excel sheet. 

Conclusion

Marketers are highly confident in using omnichannel strategy.  Also, with the revenue loss due to the rise in the installation of ad blocker software, agencies are overwhelmed in building their ad campaigns. Predicted use of AI by infrastructure and operations teams by 2023, the answer to this is AI.

To sum up, AI and its innovation are going to pick up much quicker than you think they would. As more consumers become aware and satisfied with the suggested algorithmic content in their purchasing decisions, automating content will drastically improve not just your traffic but also in convincing them at the right moment. With a plethora of options, from freemium to beta testing models, available across the internet, this is the perfect time for upcoming brands to dip their toes into the automation of marketing without shelling out a lot of money. Start your scaling journey in the creator economy with Hypothesis, visit hyp.io

Source : Research