LinkedIn is broadening access to its automated ‘Accelerate’ campaigns, which leverage AI to streamline the entire campaign creation process. Originally introduced in limited testing last year, Accelerate campaigns analyze the URL provided in your campaign setup, along with your company’s LinkedIn presence, to generate a recommended outline of your ideal LinkedIn campaign.
In a matter of minutes, Accelerate will suggest a comprehensive campaign and automatic optimizations to engage the right B2B audience with captivating creatives, which can be customized before launching your campaign. This option essentially allows LinkedIn’s AI systems to assemble your entire campaign based on a product URL that you want to promote, with creative elements incorporated through the integration of Microsoft Designer.
Following positive feedback from selected partners during the initial testing phase, LinkedIn is now making Accelerate available to all advertisers globally, starting with English language support. In addition to this, new tools are being introduced, such as the ability to integrate customer data and exclusion lists into your Accelerate campaign targeting. The AI marketing assistant’s capabilities are also expanding, enabling more questions to be posed within the campaign creation process and providing recommendations to enhance your campaign from targeting to creative aspects.
Although entrusting full campaign control to an AI system may seem daunting, the real measure of its value lies in the results. According to LinkedIn, Accelerate campaigns have increased campaign creation efficiency by 15% and driven a 52% lower cost per action compared to Classic campaigns. This suggests that trying out Accelerate campaigns could be beneficial for advertisers looking to optimize their LinkedIn marketing efforts.
LinkedIn has announced that Accelerate campaigns will gradually roll out to all advertisers globally in the coming months, offering an automated solution that aims to streamline and enhance the LinkedIn campaign creation process.
