Recommendation systems are usually discussed in the context of content feeds, e-commerce, or ads served in milliseconds. Far less attention is given to recommendation problems where decisions are discrete, expensive, spatially constrained, and operationally irreversible. Out-of-Home (OOH) advertising is one of those domains. This post walks through how we designed

Incrementality testing - experimentation that measures the true incremental contribution of a media channel, campaign, ad set, or tactic to business results - is critical for savvy advertisers who recognize the myth of marketing measurement: the false belief that 'advertising measurement is inherently defined by total, deterministic precision.'

In our hyper-competitive ads landscape, understanding the impact of your campaigns is critical for success. OOH (out of home) advertising has consistently shown the ability to drive organic brand searches and website traffic, creating a powerful “lift” in search (and social) KPIs. Many AdQuick users have already seen these benefits

Out-of-home (OOH) advertising is evolving, and AdQuick is at the forefront of this transformation. As the leading platform for planning, buying, and measuring OOH campaigns, we blend innovative technology with expert insights to help brands achieve high impact, targeted advertising. Our approach simplifies the complexities of OOH, delivering efficient campaigns

Introduction OOH conversions, defined as exposure to a billboard followed by actions like website visits, retail visits, or app downloads, provide invaluable insights into the return on investment (ROI) of OOH campaigns. At AdQuick, we use conversion rates to measure campaign success, and our commitment to innovation has led us