A Guide to Prospecting with Programmatic Advertising
Prospecting-With-Programmatic-White-Paper
Prospecting-With-Programmatic-White-Paper
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ADVERTISE<br />
PROGRAMMATIC<br />
BUYING<br />
Ingredients for <strong>Prospecting</strong><br />
<strong>with</strong> <strong>Programmatic</strong><br />
To prospect <strong>with</strong> RTB you’ll need data—a<br />
lot of it. There are countless data sources<br />
that advertisers can use for targeting<br />
consumers, but not all data sources are<br />
created equal. Few data sources are large<br />
enough on their own <strong>to</strong> provide meaningful<br />
targeting insights, so they are often<br />
combined in order <strong>to</strong> reach scale.<br />
A lack of freshness or data integrity can<br />
lead <strong>to</strong> data gaps, data inconsistencies<br />
and flawed targeting models. And finally,<br />
you’ll need an integrated technology that<br />
processes, analyzes and takes action on the<br />
data in real time—or machine learning—<strong>to</strong><br />
feed the real-time bidding process.<br />
You also want freshness, since data can<br />
be out of date even before it reaches an<br />
advertiser. Fresh data gives you an accurate<br />
picture of where your cus<strong>to</strong>mers are in the<br />
purchase cycle. If your average cus<strong>to</strong>mer<br />
takes four days <strong>to</strong> make a purchase on<br />
your website and your cookies are a week<br />
old, you miss the entire purchase cycle<br />
for that cus<strong>to</strong>mer and, as a result, the real<br />
opportunity <strong>to</strong> influence their path<br />
<strong>to</strong> purchase.<br />
© 2016 Quantcast<br />
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