What are the recent trends of marketing?
Google’s algorithm updates
Some might argue that Google updating the way its searches function isn’t so much a ‘trend’ as a constant.
However, these updates affect user results—and therefore, the content providers looking to hook said users—and can introduce and influence trends on their own.
One longstanding pattern with a recent update is Google’s push to make content more rewarding and relevant to search users. Its recent ‘helpful content’ update takes particular care to focus on “people-first content”, shunning content that only aims to satisfy SEO.
Of course, the best SEO marketing already should be people-focused, but Google’s update is a strong statement that this is not only preferable, but now pretty much essential.
Among Google’s advice to go alongside this update is that creators don’t use “extensive automation to produce content on many topics”, don’t “leave readers feeling like they need to search again”, and don’t produce “lots of content on different topics in hopes that some of it might perform well in search results”.
As well as signalling a focus on richer organic search, this update implies a greater emphasis on Google’s EAT (Expertise-Authoritativeness-Trustworthiness) factor in measuring website quality.
SERP structure changes
The ways in which search results are delivered are constantly being tweaked and redesigned. Performing a search now doesn’t only deliver the results directly relating to the query, but also shows questions that other people are asking, related searches, and relevant videos in addition to ads.
Google’s SERPs now also deliver featured snippets, wherein a relevant paragraph from the top result is embedded at the top of the search results. With design features like this coupled with Google’s recent change of approach to generating link titles, marketers need to stay abreast of the trend of redesigning how SERPs are delivered and how they can exploit these changes, or else avoid the problems they might present.
Voice queries
Voice searches have had a slow rise in popularity. Advances in voice recognition technology and the increase in smart speakers—such as Amazon’s Echo, Google’s Nest, and Apple’s HomePod—mean that voice search cannot be confidently discounted for much longer.
Voice searches have the potential to shape the way that queries are formed and therefore the questions that marketers need to answer. Instead of simply searching ‘SEO Liverpool’, a voice search would be phrased more like a question: ‘How do I get help with SEO in Liverpool?’, or ‘How do I improve Liverpool SEO?’
With Google reporting for 2022 that over a quarter of the global online population utilises voice search, the semantics of voiced queries has already had an impact of search phraseology. Conversational, clear language is needed and questions need to be answered with the kind of clarity that a voice searcher (who ultimately wants a quick answer) is looking for.
AI and smart features
AI marketing tools have taken digital marketing to a new level since their inception. They can handle simple but time-consuming tasks that free up the calendars of human marketers, or provide the heavy duty number crunching that yields deep insight into audiences and their behaviours.
AI tools have become more accessible both in terms of cost and complexity in recent years, with turnkey solutions able to be dropped in to a marketer’s bag of tricks with ease. But AI isn’t just changing things at the forefront. In many regards, it’s running the show in the background.
Programmatic advertising can be bought via real-time bidding, which is aided by the speed and capability of an AI. Furthermore, programmatic media itself is aided by AI and machine learning. While this can be seen to reduce the direct control of marketers using it, it also increases the efficacy of adverts by intelligently placing them in locations where they’re most evidentially effective, with the capacity to change quickly with shifting data.
Offerings like Google’s Smart campaigns now mean that an entire campaign from start to finish is underpinned by AI, machine learning, and data.
Leave a Reply