When this process is complete, they focus on the second ring of viewers
—they extend out to
look-alike audiences that mirror the original fans
. This
audience comprises people who have similar-looking demographics,
interests, and additional parameters. They may not yet be fans of surfing,
and may not have visited the website, but perhaps will be inclined to do so.
His team groups these people into a different targeting bucket and sends
them a similar campaign that’s adjacent to their core campaign.
Greenberg’s team has discovered that the further they go out from the
core and core-plus audiences (the audience that has similar interests and
characteristics to, but is not part of, the core audience), the less likely
people are to convert into watching a surf contest, even if they’ve liked a
piece of content. So his team tries to be really careful. They’ve discovered
that hitting audiences that either look like or are their core consumers are
the best people to target. Having more likes may look good, but when it
comes to actually converting to some form of action it’s important to stick
to the audience discovered through the data.
The Facebook platform has brought the World Surf League a lot of new
fans. Because of Facebook’s scale, the league has amassed an audience they
wouldn’t have been likely to reach otherwise. It’s allowed them to capture
data and test their product and content on new audiences—to drive new
fans to their owned and operated sites. Greenberg’s team has built an engine
to capture new fans and retarget them with either a merchandise message, a
tune-in message, or a download-app message. It’s been really beneficial for
their company.
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