As technology continues to evolve, artificial intelligence (AI) is becoming an increasingly popular tool in the digital marketing industry as 91.5% of leading businesses invest in AI on an ongoing basis.
AI is now being used to automate and optimize several aspects of digital marketing, including ad targeting, personalization, and analytics. In this blog post, we will explore how AI can help B2B marketing professionals reach their marketing goals.
AI can help with lead generation
Lead generation is a crucial piece of any successful B2B business strategy. In fact, 85% of B2B companies state that lead generation is one of their most important marketing goals. With the help of AI, B2B marketing professionals can target potential customers more accurately and efficiently. AI algorithms can analyze data from a variety of sources, including social media and website behavior, to identify potential leads. This can save time and resources and help marketing professionals focus their efforts on high-quality leads.
One example of AI in lead generation is the use of chatbots on websites. Chatbots can ask potential customers questions to better understand their needs and interests, and then provide them with relevant content and offers. By using AI-powered chatbots, B2B companies can capture leads and nurture them toward conversion.
For example, the AI-powered chatbot we helped Altice design provides efficient customer service for their small and medium-sized business customers on their website.
AI can help with content personalization
Personalization is an effective way to engage customers and drive conversions. So, it’s no surprise that increasing the relevancy of ads and making them personalized is becoming a top priority, with 80% of those who classify themselves as frequent shoppers saying they only shop with brands who personalize their experience.
However, it can be challenging to create personalized content for each individual customer. This is where AI can help. AI algorithms can analyze customer behavior and interests to create personalized content and offers that are more likely to resonate with them.
For example, Netflix uses AI to recommend content to users based on their viewing history and behavior. Similarly, B2B companies can use AI to analyze website behavior, email open rates, and other data to create personalized content for potential customers.
AI can help with predictive analytics
Predictive analytics is a method of using data, statistical algorithms, and machine learning techniques to identify the likelihood of future outcomes based on historical data. With the help of AI, B2B marketing professionals can analyze large amounts of data to predict customer behavior and make more informed marketing decisions.
For example, IBM Watson Analytics is an AI-powered analytics tool that can help marketers make predictions about customer behavior, product demand, and other key metrics. This can help marketing professionals make more informed decisions about their marketing strategy.
AI can help with ad targeting
Ad targeting is an essential part of digital marketing.
AI can help with ad targeting by analyzing customer behavior and interests to create more effective ads. AI algorithms can also optimize ad delivery to ensure that ads are shown to the most relevant audience.
For example, Facebook and Google both use AI to target ads to specific users based on their behavior and interests. B2B companies can use AI-powered ad targeting to reach potential customers more effectively and efficiently.
In conclusion, AI is a powerful tool that can help B2B marketing professionals reach their marketing goals. From lead generation to customer service, AI can help automate and optimize several aspects of digital marketing. By using AI in their marketing strategy, B2B companies can improve their efficiency, effectiveness, and ultimately, their bottom line.
However, AI works best in conjunction with knowledgeable and experienced human copywriters multi-skilled in SEO, editing and proofreading, who can easily create, polished content in the voice of the brand. This blog is a perfect example of that. It at first was generated by AI and then edited by the humans at Bloom.
AI can do a lot, but it still can’t compete with the creativity, wisdom, and experience of experts in their fields. If you’re using AI to generate marketing copy, the goal of that copy is to convert prospects into clients. That’s a job that’s too important to be left to automation. Experienced marketing professionals understand the nuances of words matter, as does intimately knowing what your audience will respond to.
Contact the Bloom team today and we’ll help you get the most out of all this AI has to offer.