Every time an ad is
shown by the Ad Network, it generates a request to GroovinAds
Decisions Engine. GroovinAds uses complex probability and statistics
equations to choose the offers and or designs that will be show,
identifying each user. The engine determines if the user has been to Advertiser
site in the past (Re-Targeting Segment) or not (Prospecting Segment), and
optimizes those segments according to:
1.
Re-Targeting Segment: GroovinAds will show an offer according to the users' interests,
in combination with Advertiser's business model and internal rules.
2.
Prospecting Segment: GroovinAds analyzes the user's location, the host on which the ad
is printed, the context and semantics of the page, how many times the user has
viewed the banner, trends of time and day, offer performance, etc., and shows
the offer most likely to generate clicks and conversions depending on the
Advertisers business model.
The CTR and
conversions increase as the engine collects data, since the learning is dynamic
and will adjust to behavior of the users who view and click on the banners,
presenting a learning curve.
Each Advertiser
has different rules that help optimize their display campaigns. In
addition to specific internal rules, there are also general rules that depend
on the Advertiser's Business Model.
The optimization of
flight offers is not the same as the optimization of lodging offers. Or, the
optimization of car campaigns is not the same as appliances campaigns. Each
business has general rules that improve their performance, that would not be
useful to a different business.
Inside GroovinAds
Platform the Advertiser integrates their offers feed and, for every feed
they add, they must choose a Business Model. This will:
•
Determine the fields that suit the Advertisers' offers.
•
Determine the dynamic information that can be displayed in
the ads for each offer (landing page, image, title, price, description, country
where it will run, etc)
•
Define the best segmentation criteria for the campaign, that
will be taken into account by GroovinAds decision engine.
Some segmentation parameters differ according to the Business Models. For the Prospecting Segment, some examples are:
These rules combine with the other segmentation criteria in the equations that GroovinAds Decisions Engine uses, resulting in the best set of products that will be shown in each banner impression, to maximize clicks and conversions.
It is a huge step to
be able to use technology to optimize segments that previously needed a lot of
manual work and arbitrary decisions, that not always went hand in hand with the
users' preferences. This technology achieves a remarkable performance boost!
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