

“An
unmeasured media is an
undervalued media”.
Never has this piece of
marketing wisdom been more
applicable than in the case of
today's point-of-sale and
out-of-home signage. According
to POPAI UK, during a typical
20-minute trip to the store,
the average shopper is exposed
to over two thousand different
signs, including:
Traditional point-of-sale
promotional material and
branded fixtures such as
end-caps and windows in shops;
Digital signage in all its
many forms, from Retail TV to
electronic billboards; Posters
and light boxes both in-store
and in transit areas such as
transportation concourses,
pedestrian areas and food
courts.
In the
vast majority of cases, these
media are not measured.
Attempts at estimating the
impact of a point-of-sale
campaign usually rely on
indirect metrics. However,
quantitative measures such as
footfall depend conversion
ratios which you cannot prove
easily; qualitative measures
such as exit interviews are
necessarily biased due to
limited sampling and selective
recall.
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With our solution,
however,
the days of blind
advertising are over:
VidiReports and
VidiCenter are
the ultimate way to
measure and to add
value to
public space media.
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By
deploying an
inexpensive video sensor
in the vicinity of the
monitored media and by taking
advantage of the extra,
unused
computing power of standard
signage players,
Quividi’s software provides
you with key metrics on your
signage installation:
1. An
estimation of the
opportunity to see;
(OTS)
2. A
precise
count
of actual viewers
3.
Various aggregate
indices on viewership
such as
dwell time, attention
time, "face minutes"
4.
Precise viewership
demographics
5.
Precise
correlation
between
viewership and content,
via the inclusion of
playlists in
VidiCenter
6. All
the while, Azurosso
solution is
fully respectful of
privacy since
no image is ever
recorded and since all
entries in the
database are
non-nominative
Some of the charts available
with
VidiCenter:
Viewers per stores
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Attention time |
Gender split |
Attention time split
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Screens ranking |
Count and gender split
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