She’s a media buying guru who taps years of historic performance data and automatically determines
the best inventory for each advertiser among 3,000-
What’s more, she can find and hyper-target markets, networks, and formats to ensure the best placements for key audience impressions.
What’s extra cool: Annika improves with each
media buy while overseeing local broadcast, national
networks, pure-play (Pandora and Spotify), satellite
(Sirius XM), digital ad networks, NPR, and — most
recently — podcasting.
Her co-worker, Abbot, rocks the house, too.
Around the office, he’s known for constantly improv-
ing conversion strategy in real time, and at the same
time, helping clients better understand their audi-
site, a retail outlet, or call center based on individual
responses. Plus, he offers controlled, extra-fast A/B
testing of multiple offers simultaneously — and, yes,
he even hones creative.
Perhaps the best part: they work for free. They
don’t really care about paychecks. That’s because Annika and Abbot are — you guessed it — robots. Welcome to the future. But it’s not really the future. It’s all
happening today thanks to artificial intelligence (AI).
But AI isn’t only helping agencies like Marketing
Architects; it’s also boosting radio programming and
sales departments. AI makes finding all radio content
as easy as a Google search — anyone can search,
track, and verify (in near real time) every piece of advertising, whether it’s a spot, a mention, an endorsement, or a live read by a DJ.
The result? Serious transparency broadcasters can
Marketing Architects sure knows how to hire the right folks. For example, the Minneapolis-based ad agency hired Annika. And, without any question, she makes radio advertisers happy.