Digital marketers still face a landscape which has been disrupted by the pandemic. And that’s not all. Between new business models, new technological applications as well as regulatory changes, what worked for your digital marketing strategy in the past may not work today. With 2022 on the horizon, digital marketers still need to find ways to engage consumers digitally post-pandemic while harnessing the possibility of technological innovations.
Read on for our list of must-know digital marketing trends!
Voice-Powered Everything
Smart speakers and ‘assistants’ have been around for a while however they really started to take off in 2017 and 2018 as people lost the self-consciousness of talking to their phones and a range of new consumer devices – such as Amazon Alexa and Google Home – have appeared on the market.
There’s no real reason for the trend in mobile to stop developing, and this hands-free technology will become an ever more standard way in which users elect to interact with their devices. It’s projected that over half of all search queries done using voice search.
With this increase in voice search-powered smart devices will come more opportunities to market to the individuals who own them. Amazon has already spotted this opportunity when it started offering cheaper Kindle devices in exchange for people agreeing to get marketing communications. Targeted Alexa ads are already in the works and additional devices will be sure to follow.
Programmatic Advertising
Programmatic advertising is the process of utilising AI in order to automate ad buying. Through removing humans from ad buying, companies get a more reliable and cost-effective solution to their needs.
The strength of programmatic advertising is in its optimisation scale capacity, which surpasses that of a human. Most search-driven manual advertising campaigns (even those performed with professional tools) take into account three or four targets: the keyword, time of day, and location.
Such tools like programmatic demand-side platforms can use hundreds of targeting signals to individualize the advertisement and even target according to lifestyle or behaviour habits when integrated with customer data platforms.


