Evan Sikes, Director of Marketing & PR at Cowen's Auctions, presents a case study titled, "How Cowan's Acutions Achieved a 145% Increase in Online Conversions with Data Integration."
7. User Actions
â New Registrants
and Visitors
â Absentee, Phone,
and Timed Bids
â Where and how
those bids are
executed
ANALYTICS IN THE FINE ART AND AUCTION
WORLD
Bidders
â Bidders are largely
digitally based
â The internet has
changed the game
â 3 important factors
involved
8. â Non-traditional sales model
â KPIs not measured with âout-of-
the-boxâ analytics solutions
â Working with proprietary software
on the back end
â Sale of firearms made manual
advertising placement the only
possible model
Business-Specific Challenges
9. â Data siloed into different systems,
each with a different purpose
â Technology deployment must be
custom, due to use of custom
software
â Need for quick reporting
functionality due to manual
advertising methodology
Technology-Specific Challenges
12. The Three Layers of Data Integration
Data Sources
These are the
originators of data.
In our case the data
consisted of web
analytics data, user
data, bid data, and
advertising data
sources.
Integration Tool
In this case a Tag
Management
System was used as
a real-time data
integrator. Could
also have been
accomplished using
an integration tool
like Analyze.ly
Data Interface
The endpoint for
data in this scenario
was Google
Analytics. Other
common endpoints
are databases,
dashboards, or
Business
Intelligence (BI)
tools.
25. DISPLAY ADVERTISING
By targeting specific
sites with high
Return on
Advertising Spend,
every marketing
dollar is maximized.
Rare Book Hub
$59,700 in Bids
Ad cost = $400
26. 42%Increase in online bidding in first 30 days following data integration
185%Increase in bid value via strategic decisions informed by integrated data
163%Increase in number of bids