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A Guide to Prospecting with Programmatic Advertising

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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be out of date even before it reaches an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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