Discover the truth about AI in marketing: is it worth the hype? Get insights on how AI can improve your marketing strategy and help you reach your goals.
AI has been the latest controversy, as it may seem to eliminate the need for human working positions in most professions. Artists, especially, were vocal about their concerns about the technology, considering the system's merging way of creating art. ChatGPT doesn't seem to think about the importance of artists after it tells a writer they don't exist but after citing their previous work.
According to Gartner research, more than half of marketing leaders believe that despite the wealth of data available in the marketing department, analytics practices are often inadequate, resources are not being used to their full potential, and results are unsatisfactory.
This is partly due to the sheer volume of data coming in from numerous platforms and the time-consuming manual consolidation of data, which results in insights that are several weeks old by the time they are actionable.
However, effective data analysis can address these issues by reducing human error, speeding up time-to-insight, and providing a comprehensive view of the customer, which can greatly enhance decision-making for the entire company. To achieve this level of success, CMOs need to be aware of five key factors regarding the current state of data analytics. This will enable them to improve their marketing operations and keep up with the latest trends.
The competition is fierce in the B2B marketplace, with businesses clamoring for the attention of potential customers. It's a constant battle to differentiate yourself, capture interest, and maintain it. So, how do you win in this crowded arena? The answer lies in personalization.
Personalization has become a critical component of B2B marketing strategies. Today's buyers expect personalized experiences, and B2B revenue teams must deliver relevant content that addresses their specific needs and interests. However, achieving personalization at scale can be challenging, especially as B2B buyers become increasingly anonymous and elusive.
This is where content intelligence comes into play. Content intelligence refers to the use of content AI, automation, and analytics to optimize B2B buyer journeys and customer experiences. It involves leveraging content engagement and performance data to understand buyers' interests, increase engagement, and conversions.
You've spent months developing a content strategy and weeks laboring over a piece of content that you have deemed 'high value'. Conventional inbound marketing tells you that you need to create a landing page for this content and gate that content behind a form that leads will need to fill to view and download your content.
You expect that the kinds of leads who are willing to fill out your form to download your content must be well-qualified fits for you to pursue and further target, but instead you start receiving fake emails like 'firstname.lastname@example.org'
Why aren't these leads converting? Why are they unwilling to give you accurate contact information despite downloading your content? Doesn't downloading your content symbolize some kind of intent or interest?
Well - not necessarily!
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