Blis appoints Natalie Muir as Insights Lead across APAC
Media industry executive Natalie Muir has been appointed to the position of Insights Lead across the APAC region.
Muir joins Blis most recently from her senior role in audience strategy and insights at broadcaster SBS and brings significant experience from previous roles across research, strategy and insights at leading media organisations oOH!media, Macquarie Radio Network, and Commercial Radio Australia.
A 20-year veteran of the media research industry, the lure of Blis' strong global and regional footprint and impressive data practice sees Muir take up her post from this month.
"As Blis is a global organisation, I saw a great opportunity to work alongside wonderful people across the world with such diverse skill sets, and I was really interested in the kinds of clients that Blis attracts," Muir says.
"As brands and agencies continue to seek out non cookie-based advertising technologies I'm excited to use Blis' impressive data sets and tools to uncover meaningful insights and solutions for our clients across APAC."
Blis said the appointment will enable the company to strengthen its data and insights capabilities in the region.
"Natalie brings terrific perspective and leadership experience within research and insight across many channels," Blis APAC Managing Director Emma-Jayne Owens says.
"Our clients look to us to make sense of consumer data, help them to better understand audiences and provide useful insights for their campaigns.
"Natalie joins Blis at a key moment in our expansion in Asia-Pacific and will lead our approach across the region."
Blis is an integrated planning and buying platform (including Blis Audience Explorer, a visual, interactive tool) that delivers scaled, relevant and high-performing audiences for the world's largest brands and media agencies.
The company has made significant investments in products and technology over the past two years, enabling brands to tailor their digital ad campaigns to reach consumers without reliance on personal data.