January 8, 2025 | Spotlights
Our focus is providing bespoke, incremental net lift attribution studies for Out of Home advertising campaigns. We began delivering these studies in 2014 with an objective to help OOH advertisers and media companies prove OOH’s impact across the marketing funnel.
We measure DOOH campaigns for performance against outcomes such as brand lift, foot traffic, in-app actions, and website activity.
We’re keenly interested in making quality DOOH attribution data available to large marketers via our API. Our belief is that the multi-touch attribution platforms available lack granular, quality data on OOH attribution and as a result the media mix models under allocate spend to DOOH. We want to fix that, and we’ve built our platform so that our customers can access it via an API in addition to working with us in a self-serve or managed service manner.
Multichannel buyers understand the programmatic environment natively. So, it clearly follows that they have a high comfort level with DOOH programmatic platforms like Hivestack. Adding digital technology to the DOOH planning and buying experience will bring more brands to DOOH.
Over the past decade, our purpose has been to leverage traditional digital expertise in the digital out-of-home (DOOH) sector. We were the first to optimize our platform to accept digital play logs from programmatic platforms so the exposed consumer could be accurately matched to the right ad message. Moreover, programmatic DOOH provides better targeting on more engaging platforms. We know this will improve DOOH spend efficacy, so we want to make the proof available via our incremental net lift attribution studies.
With our technological advancements, we’re the go-to campaign measurement company for brands as they increase their spend on DOOH programmatically.
We provide measurement of every format; that is, dynamic fleet, digital, and static. We measure them in any combination and can cut by market, creative, or format.
The key to measuring the true impact of DOOH is applying location-based data in a way that creates incremental net lift reporting. By leveraging our immense data set, we create exposed and control groups which weeds out any messaging from non-DOOH activity. If you don’t have a control group, you’re just measuring coincidental activity.