Meta introduces AI tools to boost business-customer interaction
Meta is forging new paths in business-customer interaction with the introduction of inventive AI tools. These include AI chatbots for handling customer inquiries and monetized promotional messages to reach a wider customer base.
AI chatbots, built on Meta’s LLaMa 3 language model, are designed to enhance business performance and customer engagement. They’ve brought about substantial cost reductions – upwards of 20% for companies such as White Coat Manila. AI chatbots have also demonstrated impressive results in complex query solutions and language translation, positively impacting customer satisfaction and response times.
Juni Learning, a creative teaching startup, is a shining example of leveraging this technology to increase student engagement by a stark 30%. Through machine learning, these AI chatbots perpetually self-improve, pointing towards a promising future for human-computer interaction.
Businesses now have the ability to manage and dispatch paid promotional messages through Messenger, akin to WhatsApp’s marketing messaging features.
AI tools enhancing business-client engagement
Coupled with the introduction of a Threads API, businesses can create and distribute targeted content, interact directly with users, and gain insights through third-party apps.
Meta’s latest additions enable a more personalized connection with users while offering in-depth data analysis through third-party app integration. The valuable insights gained allow businesses to optimize their content strategy, improve customer satisfaction, and raise profit margins.
The innovation push aims to boost profits, cut costs, and engage more users. Meta’s findings reveal that each advertising dollar spent returns $3.71 in revenue, an increase of 12% ROAS compared to 2022. The “Advantage+” AI tools have even given a top-up to these returns, pushing the ROAS to $4.52.
Living Proof, a Unilever company, took advantage of Meta’s latest AI ad creative tools, experiencing a 15% decline in costs per purchase and an 18% rise in purchase volume, contributing significantly to revenue growth.
Amidst these technological advancements and market successes, privacy concerns related to AI linger. Meta, therefore, faces increasing calls to strengthen the security protocols in its new AI systems. While service costs have been reduced, the matter of privacy persists as a dominant issue.
