Inbound marketing has proven to be an effective way for businesses to expand their customer base. An effective inbound marketing strategy requires creating content that is useful to customers and promoting it effectively to ensure that this content reaches the target audience. With inbound marketing, businesses aim to attract customers, convert them, and then close those leads to ensure they can bring value to customers.
An inbound marketing strategy requires a lot of effort to implement. Even though the process can be greatly simplified with the telephone number list latest version of CRM (Customer Relationship Management), marketers still have to put a lot of effort into execution, such as analyzing consumer behavior to create tailored content and design targeted promotions for it.
However, thanks to artificial intelligence, the telephone number list management of inbound marketing has become easier over time. Many human inputs that require human intervention now have the potential to be automated, as technology is increasingly enabling data-driven decisions that previously required dedicated human attention.
define artificial intelligence
There are several branches of artificial intelligence, including machine learning and natural language processing . All of these branches are currently in various stages of development, and some have the ability to advance their own systems over time by developing newer algorithms.
Artificial intelligence has influenced many of the decisions we make online. For example, product recommendations made on Amazon and media recommendations on Netflix come from AI-driven systems. While the impact of AI in inbound marketing is still in its infancy, the technology is rapidly improving and its impact is rapidly increasing.
The impact of artificial intelligence on inbound marketing
Artificial intelligence enables us to perform day-to-day, day-to-day tasks with greater accuracy and in less time. For inbound marketers, using AI can speed up campaigns, deliver higher value to the company, and maximize the return on marketing investment.
Here are the four stages of inbound marketing and the impact AI can have on each stage.
People are not familiar with your business from the start, so you need to attract them. This can be done with targeted keywords and posting useful content on social media such as blogs. Once you can capture the attention of your target audience, they will become visitors and land on your page.
During the “attract” stage, the job of the inbound marketer is to develop a deep understanding of the topics consumers are most in demand, and then develop an effective content creation strategy to deliver the desired content on time. This can take a lot of time, however, by using AI, inbound marketers can speed up the process. Available tools can automatically analyze consumer needs and deliver topic clusters to marketers for content development. AI also helps marketers automatically scan content for errors, ensuring high-quality content is delivered.
At this stage, there are two main AI techniques that can add tremendous value, including natural language processing (NLP) and natural language generation (NLG). Some examples of such AI-based software include Grammarly and Hubspot's Content Strategy tool.