Artificial Intelligence continues solidifying itself as a crucial tool within the marketing industry, especially regarding automation.
In fact, the market for artificial intelligence in marketing is expected to grow to more than $107.5 billion by 2028 — a huge leap from $15.84 billion in 2021.
So, marketers must stay current on the many ways AI marketing automation can and should be used to remain competitive. To keep you in the loop, here’s a breakdown of AI’s role in marketing automation and how marketers can leverage it.
AI marketing automation also makes sending personalized content to customers easier, thanks to data and algorithms
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 companies to provide personalized interactions. Furthermore, 76% of consumers experience frustration when they don’t receive personalized interactions. Creating personalized experiences for all of your customers can be tedious, time-consuming, and unrealistic without automation. AI can automate the process by analyzing customer data and behaviors and using that information to tailor each customer’s experience. For example, Whole Foods leverages AI to provide customers with personalized messaging. In 2021, Whole Foods opened several Just Walk Out stores across the U.S. The stores allow customers to pick up their items and leave without stopping at a register. Instead, the items are charged via AI. The purchase information gathered by the AI is then used to identify patterns and predict future behaviors. This allows 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 can take significant time away from more big-picture duties. Your company can quickly send thousands of personalized emails using AI for marketing email automation. This is especially helpful as your email list grows because who has time to send 200,000 emails multiple times a week? Furthermore, AI can analyze the performance of your emails in real time, and you can use the data to improve your next set of emails.
Lead Scoring and Nurturing
AI can quickly and efficiently analyze data to determine which leads will likely become customers. With AI, marketers can save time and money on lead scoring while improving their leads’ quality. AI can also automate the lead nurturing process by effectively guiding leads through the sales funnel until they are ready to purchase, boosting conversion rates.
Predictive Analytics
Part of being a successful marketer is being proactive and anticipating trends. Fortunately, AI is an excellent tool for analyzing and predicting customer behavior and trends thanks to algorithms. This will allow marketers to adjust their marketing strategies according to predictive data. For example, the data can help a business predict the best time to launch a new product.
Channel Optimization
There are many channels to consider when marketing your brand, product, or service. With Al algorithms, marketers can easily identify which channels are the most effective in reaching their target audience. This allows marketing to properly allocate time and funds to channels with the best return on investment.