The $500 million social media automation market is expected to be worth over $7 billion globally by 2025, with the Asia Pacific market likely to grow at 13.5% CAGR, and India and China being at the forefront
Social media automation uses AI-driven software tools to automatically perform some of the crucial, albeit time-consuming, tasks associated with maintaining a brand’s social media presence
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Social media has become ubiquitous in our lives. As consumers, we are spending more time on social media than we are on television. Our purchase decisions are heavily influenced by what we see on social media. We spend a large chunk of our buying journey, from discovery to evaluation to decision, on these platforms. It is no surprise that most brands now consider social media marketing an indispensable part of their marketing strategy. Digital media spends in the last decade have grown multi-fold, and in 2020, companies spent over $370 billion on digital ads, amounting to about 58 percent of the total ad spend. It is expected to increase to over $650 billion by 2024 (EMarketer). A large proportion of this growth has been fuelled by social media.
With such tremendous growth seen on these platforms, it is imperative for brands to up their game in handling their social media marketing. Brands today cannot rely on a few individuals to perform all the tasks associated with SM marketing as errors in today’s unforgiving and never-forgetting digital environment can cost heavily. Moreover, if your social media team spends more time on mundane tasks like posting and scheduling, developing new ideas and long term strategy takes a back seat. Herein lies the value of automating your social media marketing.
Simply put, social media automation uses AI-driven software tools to automatically perform some of the crucial, albeit time-consuming, tasks associated with maintaining a brand’s social media presence. These include scheduling future posts, curating content, handling customer queries, filtering malicious content, and generating detailed analytics reports on various engagement metrics across platforms. Such automated tools are not only significant assets in executing marketing strategies effectively, but they also improve customer experience and enhance brand awareness.