1. Experiment with short form video
Even though you've already heard and read this a million times by now, your 2024 marketing strategy ought to include some short-form video experimentation.
In addition to being the primary interaction tool on TikTok, short form video is the content format that is expanding the fastest on Facebook, Instagram, Snapchat, YouTube, and Facebook. Many companies who have invested in short form video content have had considerable rewards in terms of increased brand awareness. X is also looking to push more video content into user feeds.
Although producing interesting short form video might be difficult at times, there are more and more tools available to assist you. One such tool is TikTok's Top Ads section, which showcases the top-performing branded material available.
2. Explore the potential of messaging
There are several causes for this. Many users are tired of the sporadic, trivial updates and view your various profiles as a showcase of hazy, everyday highlights. Political division and argument have made people less interested in sharing their personal insights. Past posts coming back to haunt high-profile users have increased concern about what you share.
3. Consider alternative platforms
In any case, X is becoming less and less of an advertisement choice. Perhaps that isn't true for certain niche businesses, and there may be chances in the lessened competition as the major corporations scale back their X presence. But in 2024, most brands will probably be reconsidering their X approach.
Therefore, to see what type of results you can obtain, it would be worthwhile to explore with some of the smaller, more specialized social media networks.
With over 400 million active users who have a strong propensity to make purchases, Pinterest continues to improve its ad alternatives, and Snapchat is still a vital platform for connecting with younger people.
4. Experiment with generative AI tools
The fundamental core of any such project, however, remains the creative, and coming up with engaging concepts is still something that machines can’t consistently recreate. Indeed, generative AI is inherently derivative, as it’s an approximation based on whatever examples have been built into its training data, so it’s only able to provide outputs that are similar to things that have come before.
Coming up with concepts remains the realm of humans, but for almost every other element, you can probably gain some advantage from generative AI tools.
Learn how AI systems work, understand the various tools on offer, and how they’re evolving, and consider the ways that they can be applied to your process.
