Artificial intelligence (AI) is becoming a more important tool in the marketing sector, particularly in terms of automation.
A man in a suit holds a computerized depiction of the world in his hand, surrounded by various social media icons – a representation of AI marketing automation.
Indeed, the market for artificial intelligence in marketing is predicted to exceed $107.5 billion by 2028, up from $15.84 billion in 2021.
To remain competitive, marketers must stay up to date on the various ways AI marketing automation can and should be employed. To keep you up to date, here’s an explanation of AI’s function in marketing automation and how marketers can use it.How is artificial intelligence influencing marketing automation?
At its foundation, AI employs machine learning to replicate how people learn and improve accuracy through the analysis of vast amounts of data. When used in marketing automation, AI analyzes massive data sets to identify trends, forecast client behavior, and make instant decisions.
As a result, artificial intelligence and machine learning algorithms are assisting marketers in automating and optimizing operations that would otherwise be difficult, time-consuming, and costly. As a result, it comes as no surprise that AI marketing automation is here to stay.
The global marketing automation market was $4,438.7 million in 2020, and it is predicted to increase to $14,180.6 million by 2030. Furthermore, the top 28% of organizations regularly use marketing automation and artificial intelligence (AI) solutions in their processes.
Why Should Marketers Use AI in Marketing Automation?
Marketing automation enabled by AI can help to streamline marketing procedures. This allows marketers to focus on other elements of their jobs, such as brainstorming and strategizing.
Because of data and algorithms, AI marketing automation makes it easier to offer customised content to customers. Other advantages include cost savings and ROI optimization.
Repetitive tasks can be automated to save money. Using AI chatbots to converse with customers, for example, would reduce the need for human customer service employees, potentially saving money over time.
According to an Accenture study, organizations who use AI in marketing saw an average improvement in ROI of up to 30%.
AI Applications in Marketing Automation
The following are some examples of how marketers can use AI to automate their activities.
Personalization
According to McKinsey’s Next in Personalization Report, 71% of consumers want businesses to provide tailored encounters. Furthermore, 76% of customers are irritated when they do not receive personalized encounters.
Without automation, creating individualized experiences for everyone of your consumers can be difficult, time-consuming, and unrealistic.
By evaluating consumer data and behaviors and using that information to customise each client’s experience, AI may automate the process.
Whole Foods, for example, uses AI to give customised messaging to customers.
Whole Foods will open numerous Just Walk Out locations across the United States in 2021. Customers can pick up their things and leave without stopping at a register.
Instead, AI is used to charge the products. The AI then uses the purchase information to find patterns and anticipate future behaviour. This enables the AI to send clients tailored communications.
If a client buys frozen vegan dinners, Whole Foods may send them promotional codes and discounts for other vegan products.
Automation of Email
Marketers can send a lot of emails to potential prospects, but it can take a lot of time away from more important tasks. Using AI for marketing email automation, your organization can instantly send thousands of tailored emails.
This is especially useful as your email list expands; after all, who has time to send 200,000 emails numerous times every week?
Furthermore, AI can monitor the performance of your emails in real time and utilize the results to optimize your next batch of emails.
Nurturing and Lead Scoring
AI can evaluate data quickly and efficiently to predict which leads are likely to become customers. Marketers may use AI to save time and money on lead scoring while boosting lead quality.
AI can also help to increase conversion rates by successfully guiding prospects through the sales funnel until they are ready to purchase.
Analytics Predictive
Being proactive and anticipating trends is an important part of being a successful marketer. Fortunately, thanks to algorithms, AI is a wonderful tool for evaluating and forecasting customer behavior and trends.
Marketers will be able to adapt their marketing strategy based on predictive data. For example, the data can assist a company in determining the optimal moment to introduce a new product.
Optimization of Channels
When it comes to marketing your brand, product, or service, there are numerous outlets to choose. Marketers may simply identify which channels are the most effective in reaching their target demographic using Al algorithms.
This enables marketers to correctly devote time and resources to channels that provide the highest return on investment.
Communication and Customer Service
Sixty-two percent of customers would rather employ a customer care bot than wait 15 minutes for a human person to speak with them.
Using artificial intelligence to reply to clients instantaneously would increase their experience and satisfaction while saving time and resources.
Chatbots powered by AI can answer frequently asked inquiries, recommend items, and process orders faster than a human staff could.
Implementing AI Marketing Automation Successfully
To use AI marketing automation, you must first find the right tools and platforms to assist you achieve your marketing objectives. There are numerous applications to pick from, ranging from chatbots to software to AI-powered platforms.
HubSpot’s content assistant, for example, is a free suite of AI-powered services that leverages generative AI to assist in the creation and sharing of materials such as written content, outlines, and emails.
We also provide ChatSpot, a conversational CRM bot that marketers can link to HubSpot to increase productivity.
The functionality leverages chat-based commands to interact with your CRM data, allowing you to complete tasks in HubSpot faster.
You don’t have to be a tech whiz to incorporate AI marketing automation into your organization.
All you need to do is identify repetitive operations in your process that may be automated, and then choose the appropriate tools or software to meet your demands.
Now that you understand what AI marketing automation is, you can start looking for methods to put it to use.