As we move into another new year there are once again a new set of predictions, hopes and concerns as to the direction of digital marketing over the next twelve months and beyond. There are so many exciting developments set to take place and I'm really looking forward to seeing how these take hold in 2018. One of the interesting areas I've observed across many trends is the recurrence of two themes: artificial intelligence (AI) and machine learning. These two closely related subjects seem to be taking hold across a number of areas, including marketing automation, digital creative, personalization and marketing technology. However, it's the influence of AI and machine learning on the future of search that I'd like to explore in some detail in this article and the potential implications on business and marketing.
This epic list article has been updated to include 20 more digital marketing trends to help you get ready for next year! At one time, artificial intelligence, data-driven marketing and voice search engine optimization (VSEO) were ambitious concepts bordering on the ridiculous. Today, these innovative digital marketing trends are among the top priorities for most business owners in 2020. And why wouldn't they be? After all, if your business has any intention of remaining competitive in today's online landscape, you must adapt to the rapidly evolving changes in digital marketing. "Each business is a victim of Digital Darwinism, the evolution of consumer behavior when society and technology evolve faster than the ability to exploit it. Digital Darwinism does not discriminate. Make no mistake: We live in a time when marketing technology moves fast and consumer interests and behaviors are hard to predict. Marketers can no longer stick their heads in the sand and hope that educated guesses ...
Imagine you're on the Tube and the person in front of you is wearing a really nice pair of trainers. To find them, you could search for "black suede trainers with off-white soles" and leaf through hundreds of possible results. Or, in a world of perfectly accurate visual search, you could find and buy the exact pair instantly from a picture. Three-quarters (74%) of consumers agree that text based keyword searches are inefficient in helping to find the right product online. This opportunity gap will be explored at Dmexco this week in a number of sessions dedicated to smarter search, and it emphasises that brands need to prepare themselves for visual search.
With multiple facets to optimise for higher conversions, ecommerce brands often treat on-site search as an afterthought. By failing to address the search experience, you are losing customers, especially when you consider that shoppers who use the on-site search bar reportedly have a higher conversion rate and average order value. Machine learning may be hyped technology but it's already making a major difference to the on-site product search experience. Here are three examples demonstrating how progressive ecommerce brands are succeeding with it. Commonly misspelt words are a lost revenue opportunity for ecommerce companies.
Indeed, voice search is disrupting the world of text-based searches, but it is only part of the larger shift on how businesses need to think about communications with current clients and new consumers who have the potential of becoming a client. Conversational AI represents an easy way to get immediate answers and is shifting consumer behavior; voice search is a key player in the bigger picture of getting solutions fast but is only one part of it. The AI-based technology of natural language processing that enables voice search is pretty astounding, but in truth, Google doesn't understand natural language processing yet. The race is on with many participants who are trying to. Answer engine optimization (AEO) is a means in which SEO's are engaging with search engines to get their answer matched to a searcher's query. Search engine marketers can take advantage of AEO and conversational AI can help your business transition into the realm that fits trends in how users gain information. Conversational commerce is e-commerce conducted through various means of conversation. They may take the form of a live chat on e-commerce sites, a live conversation on messaging apps, through chatbots directly on websites, or via voice assistants.