Artificial Intelligence continues solidifying itself as a vital tool throughout the marketing industry, especially regarding automation.
In reality, the marketplace for artificial intelligence in marketing is anticipated to grow to greater than $107.5 billion by 2028 — an enormous leap from $15.84 billion in 2021.
So, marketers must stay current on the numerous ways AI marketing automation can and needs to be used to stay competitive. To maintain you within the loop, here’s a breakdown of AI’s role in marketing automation and the way marketers can leverage it.
How is AI driving marketing automation?
Why Marketers Should Use AI in Marketing Automation
Ways Use AI in Marketing Automation
Successfully implementing AI Marketing Automation
How is AI driving marketing automation?
At its core, AI uses machine learning to mimic how humans learn and improve accuracy by analyzing large stacks of information. When applied to marketing automation, AI analyzes vast data sets to pinpoint patterns, predict customer behavior, and make immediate decisions.
Because of this, AI and machine learning algorithms are helping marketers automate and optimize tasks that might otherwise be tedious, time-consuming, and expensive. So, it’s no surprise that AI marketing automation is here to remain.
In 2020, the worldwide marketplace for marketing automation was $4,438.7 million, and it’s expected to grow to $14,180.6 million by 2030. Furthermore, the highest 28% of businesses actively use marketing automation and AI tools of their process.
Why Marketers Should Use AI in Marketing Automation
AI-powered marketing automation can streamline marketing processes. This offers marketers the time and space to concentrate on other points of their job — comparable to brainstorming and strategizing.
AI marketing automation also makes sending personalized content to customers easier, because of data and algorithms. Other advantages include cost efficiency and optimization of ROI.
Automating repetitive tasks can lower your expenses. For instance, using AI chatbots to speak with customers would eliminate the necessity for human customer support agents, which might save costs over time.
And firms that implement AI in marketing see a mean increase in ROI of as much as 30%, in response to a study by Accenture.
Ways Use AI in Marketing Automation
Below are some ways marketers can leverage AI to automate their processes.
Personalization
McKinsey’s Next in Personalization Report shows 71% of consumers expect corporations to offer personalized interactions. Moreover, 76% of consumers experience frustration once they don’t receive personalized interactions.
Creating personalized experiences for your whole customers will be tedious, time-consuming, and unrealistic without automation.
AI can automate the method by analyzing customer data and behaviors and using that information to tailor each customer’s experience.
For instance, Whole Foods leverages AI to offer customers with personalized messaging.
In 2021, Whole Foods opened several Just Walk Out stores across the U.S. The stores allow customers to choose up their items and leave without stopping at a register.
As an alternative, the items are charged via AI. The acquisition information gathered by the AI is then used to discover patterns and predict future behaviors. This enables the AI to send personalized messages to customers.
So, if a customer purchases frozen vegan dinners, Whole Foods could send promo codes and discounts for other vegan products.
Email Automation
Marketers can send tons of emails to potential leads, but it will possibly take significant time away from more big-picture duties. Your organization can quickly send hundreds of personalized emails using AI for marketing email automation.
This is very helpful as your email list grows because who has time to send 200,000 emails multiple times every week?
Moreover, AI can analyze the performance of your emails in real time, and you need to use the information to enhance your next set of emails.
Lead Scoring and Nurturing
AI can quickly and efficiently analyze data to find out which leads will likely develop into customers. With AI, marketers can save money and time on lead scoring while improving their leads’ quality.
AI may automate the lead nurturing process by effectively guiding leads through the sales funnel until they’re able to purchase, boosting conversion rates.
Predictive Analytics
A part of being a successful marketer is being proactive and anticipating trends. Fortunately, AI is a wonderful tool for analyzing and predicting customer behavior and trends because of algorithms.
This can allow marketers to regulate their marketing strategies in response to predictive data. For instance, the information may also help a business predict one of the best time to launch a recent product.
Channel Optimization
There are lots of channels to think about when marketing your brand, product, or service. With Al algorithms, marketers can easily discover which channels are essentially the most effective in reaching their audience.
This enables marketing to properly allocate time and funds to channels with one of the best return on investment.
Customer Service and Communication
62% of consumers would like to make use of a customer support bot moderately than wait quarter-hour for human agents to talk with them.
Using AI to answer customers immediately will improve your customer’s experience and satisfaction while saving time and resources.
AI-powered chatbots can answer steadily asked questions, recommend products, and process orders faster than a team could manually.
Successfully implementing AI Marketing Automation
To leverage AI marketing automation, you should discover one of the best tools and platforms to enable you to reach your marketing goals. From chatbots to software to AI-powered platforms, there are lots of applications to pick from.
For instance, HubSpot’s content assistant is a set of free, AI-powered features that uses generative AI to assist create and share materials comparable to written content, outlines, and emails.
We also offer ChatSpot, a conversational CRM bot that marketing professionals can connect with HubSpot to maximise productivity.
The feature uses chat-based commands to interact together with your CRM data, so you’ll be able to accomplish every little thing you already do in HubSpot faster.
You haven’t got to be super tech-savvy to implement AI marketing automation into your corporation.
All you wish is to discover repetitive tasks inside your process that might be improved by automation, then find the best tools or software to fit your needs.
Now that you understand what AI marketing automation is, you are ready to seek out ways to make use of it.
