Digitization has accelerated rapidly during the pandemic, industry leaders say there is still much to be done. In this context, marketers are rapidly migrating to digital out-of-home advertising (dooh). According to statistica, by the end of 2024, global [dooh] spending will reach us$45 billion. The convergence of data, mobile and digital ooh marketing is happening faster than ever, says jcdecaux australia cmo ash wake.
Programmatic Technology Is One Of The Components Driving
Channel growth. According to viooh’s report (a state of the nation), 19% of marketing executives expect programmatic dooh advertising spending to Sweden Email List more than double over the next 18 months.he components that drive growth] also have audience data capabilities that allow advertisers to activate the same audience data across multiple touchpoints to retarget and build impact across the funnel,” says wake. It gives advertisers a single view of their campaigns, allowing them to optimize across multiple mediums, as advertisers can monitor campaign impressions and turn on or off activation of various channels as needed.
Ai Is Being Heavily Adopted To Improve Operational Efficiency
Automation is becoming a key tool as marketers seek to improve efficiency and economies of scale. Cody bernard, director of marketing at closefactor, predicts that b2b technology cmos and teams will prioritize data-enabled efficiencies in 2023. “this means accelerating the CH Leads use of machine learning and automation in account-based marketing (abm) strategies to quickly and accurately identify prospective customers. For example, if a [potential customer] company is modernizing the customer experience, embarking on a digital transformation or migrating to the cloud, or has recently added new leadership, the marketing team can pick up these signals through ml processes. Companies that show these signs are much more likely to adopt new b2b technologies.”
Bed hackney, regional vp of a/na at databricks. Said ai is useful for tackling the skyrocketing costs of managing data in an uncertain economy. “I see ai doing a lot to reduce costs by understanding customers. Workloads and automatically sizing their deployments for optimal cost and productivity trade-offs,” he said. “cost will be a major issue in the coming year as companies. Turn to ai and ml to streamline operations and manage areas of contro.L in an increasingly volatile economy.
