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PART V: AD TARGETING<br />

AUDIENCE-FOCUSED TARGETING<br />

Lookalike Targeting<br />

Lookalike targeting is based on<br />

your existing marketing list and<br />

targeted group of customers.<br />

Many advertising platforms offer<br />

this targeting method, which<br />

essentially takes a pre-existing list<br />

of customers or contacts from<br />

you. Then the platforms find<br />

matching audiences who “look<br />

like” the users you provided.<br />

What do we mean by “look like”?<br />

Let’s say your largest customers are<br />

women under 35 who live in<br />

Connecticut and are interested in<br />

tennis. Additionally, lookalike<br />

audiences can be created based on<br />

the types of sites people visit. By<br />

creating a lookalike audience, the<br />

advertising platform will find people<br />

with the same attributes and display<br />

your ad to those people.<br />

This gives you the benefit of<br />

displaying your ad to more<br />

customers who share similar<br />

attributes with your best<br />

customers or best performing<br />

targeted segment.<br />

This type of targeting can run into<br />

issues with scale if the initial<br />

targeted audience is very specific<br />

or niche because the lookalike<br />

pool may be small.<br />

Marketing automation systems like<br />

<strong>Marketo</strong> give you the ability to send<br />

lists of qualified names, targets,<br />

segments, or the best customers<br />

directly to your ad targeting platform<br />

for lookalike modeling.<br />

<strong>Marketo</strong> neatly explains lookalike<br />

targeting in this image:<br />

Aged<br />

21-24<br />

Female<br />

Music<br />

Buyer<br />

Student<br />

<strong>Marketo</strong> users are segmented based<br />

on specific attributes & behaviors.<br />

Users sharing common attributes and<br />

behaviors are found in <strong>Marketo</strong>’s database.<br />

These profiled users are placed in<br />

custom lookalike audience segments.

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