Ask a business executive and they’ll tell you that everything they do is for their customers. Which is all well and good, but how many B2B companies are really paying attention to the changes in what customers want?
Many people have only recently become acquainted with the concept of Artificial Intelligence (AI), but the term was first coined 55 years ago this month at the Dartmouth conference. The name AI has never sat well with me, partly because calling computers “artificial” seems strange. (I haven’t heard Google referred to as “artificial search” to contrast it with the good old-fashioned searching that human beings do when poring over books in the library.)
Content marketing can be entertaining, helpful, or informative, or perhaps it can solve your audience’s problem. One good test of content marketing is whether it helps your audience even if they never buy your product or service. Here’s what content marketing needs to be to develop customer commitment.
Big data is having big effects on content marketing, nowhere more than in its ability to make sense of the complexity of human language. Understanding data science is necessary for agile marketing in 2019. Here’s how marketers can utilize data to hone their craft.
Content marketing is informative, entertaining, and helpful. But great ideas for content aren’t enough. Who decides they are “great”? The customer decides. How do we know the decision of the customer? Data–the more the better.
As content marketing has been practiced today, it resembles custom publishing. Companies tell stories that romanticize their brand, distributing those stories through various channels and amplifying them through social media. Content marketing has come to be more akin to advertising.
Digital transformation is all around us–no company can escape. Most companies recognize this, and focus on managing the change in an effective way. But then there are others that think they can avoid digital.
If you are like most marketers, you’ve probably been salivating over personalizing your website for years. It has always seemed like a good idea, but it’s never seemed possible.
A few weeks ago I participated in a webinar over on Biznology. I shared five strategies for improving site search using A/B testing. Long a part of the digital marketer’s toolkit, A/B testing has relevance for search analysts as well. Using these methods you can test new settings against a portion of your live traffic without risking tanking things altogether. Once the new settings have proven themselves, you can deploy them to the primary search engine.
Most companies don’t measure site search well. They rely upon out of the box measurements that measure activity instead of outcomes. Nowhere is this problem acuter than when you move from one search engine to another.
A/B testing of the search engines is the answer. Check out the webinar. You can also read a short version I did in a blog post a few weeks ago.