How Covid-19 Is Speeding Up OOH Advertising’s Digital Transformation

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Some OOH media providers have already moved beyond the traditional real estate-based approach in which advertisers focus on a specific region or even choose specific billboard locations. Instead, they are using data and technology to target specific audiences and measure the impact of their campaigns. For the laggards, the pandemic is proving a catalyst for overdue change. Let’s consider why OOH’s audience-based future is closer than ever as well as what is next for the industry’s evolution. 

In Times of Crisis, There’s Still Value in the Gig Economy

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The pandemic-driven economic shutdown is also affecting the estimated 57 million Americans who make their living, or supplement their income, as members of the gig economy. While some freelancers and side hustlers may feel secure, full-time gig economy drivers certainly do not. Covid-19 has numerous implications for the gig economy, including some that will last even after all the dust settles. Let’s sort through them.

This Election Season, Candidates Should Take Voter Data Privacy Concerns into Account

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In the wake of Cambridge Analytica and privacy regulations like GDPR and CCPA, the advertising landscape has changed, as have consumers’ perceptions about data collection and privacy. Candidates still need ways to reach their target audience effectively, and they should do so while being mindful of compliance issues and Americans’ privacy concerns. 

The 2019-2020 advertising cycle will generate an estimated $6 billion in political media spending, $1.6 billion of which will be spent on digital video, according to Politico’s spending projections. This is up from $0.74 billion on digital video in 2018, so we are talking exponential growth. Many candidates will wash their hands of marketing decisions, entrusting their staff and partners to decide how to best use their campaign dollars. But candidates should use their advertising strategies to make a political statement—to show voters they care about ethical data practices.