2. Across devices in different places and times throughout the day
Capture Data Constantly
6AM 7AM 8AM
11AM
12PM
7PM
8PM 12AM
4PM
9AM
2PM
3. The “right” audience is a moving target that needs constant monitoring
And Optimize Audience Models With It
TRUE CROSS-PLATFORM
CAMPAIGNS
1st Party
CRM
Location
Lifestyle
Device/Apps
3rd Party
Context
DATA
SOURCES
BRAND SIGNAL
+
+
+
+
REAL-TIME
FEEDBACK
HUMAN &
AUTOMATED
OPTIMIZATION
✓
✓
✓
✕
AUDIENCE
EXPANSION
40
B I L L I O N
D A I L Y
98%
OF OUR AUDIENCES ARE
RANKED & SCORED IN
24
H O U R S
4. It’s Easy Enough to Record or Target This Data:
43.318334 -1.981231
5. Robust data across channels and content is key to finding the “right”
audience
Data Speaks Volumes
B I L L I O N
D A I L Y
650K+ PLACES
6. Identifying the data to trust and the data to throw away is key
Quality Data Is Critical
S U S P E C T
LOCATIONS
7. Put Location in Context
Brand X locations in San Francisco, CA
8. Taking It Cross Device
CAPTURE DELIVER ANALYZEMATCH
Capture real-time mobile
location behavior
Use Dstillery CrossWalk to
match to all user devices
Deliver advertising to cross-
device audiences
Provide cross-device
measurement and metrics
10. Cross-Channel Measurement Matters
• USE locations in context
• REACH audiences cross-channels
• MEASURE audiences cross-devices
connect not just mobile to in-store activity, but also desktop impact on in-store conversions
Mobile is the key to unlocking a better path to purchase metric...
12. Cross-Device Audience and Placed Attribution:
Large Retailer
62,782 Store Visits
x 45% Purchase Rate
x $30 Average Order Size
=1725% ROAS
=$862,624 Sales
/ $50,000 Ad Spend
14. Use cross-device data to define your audience and gain a competitive
advantage
Extension to Measuring OOH
Irvine, CA
We can capture
devices surrounding a
location
Top URLs For People In Vicinity Of This Shelter
Rank URL Score
1 www.kiisfm.com 12.65
2 www.dailypilot.com 10.73
3 www.calottery.com 8.92
4 www.abc7.com 7.52
5 www.sdzsafaripark.org 7.26
6 www.hollywoodbowl.com 7.18
7 www.souplantation.com 6.48
8 www.ucsd.edu 6.14
9 www.swell.com 5.81
10 www.esquire.com 5.50
11 www.sgvtribune.com 5.46
12 www.hurley.com 5.41
13 www.1001fonts.com 5.37
14 www.surfingmagazine.com 5.19
15 www.mariecallenders.com 5.18
16 www.insidebayarea.com 5.09
17 www.pe.com 5.05
18 www.synonym.com 4.97
19 www.lakersnation.com 4.90
20 www.dailybulletin.com 4.72
15. Measuring site visit or app visit propensity
OOH Audience Propensity
Surfing
Brand
Editor's Notes
Quality data is unbiased – we track this data across screens and moments to measure behaviors
We take these clean signals into our models, rank and score prospects, deliver across devices and update our scoring daily
Big numbers -
The Maria Cristina wihin .11 meters
We have a huge dataset across desktop and mobile and capture content and location data across screens.
Multiple filters are applied to the underlying data to ensure accuracy, such as:
- eliminating coordinates with suspicious volumes (in many cases, "hard-coded" IP locations in the center of zips, states, etc)
- removing physically impossible patterns (like a device traveling across the country in milliseconds)
- ignoring apps with unlikely readings (like 80%+ of all users being located at only a few distinct locations)
Show where they are on the photo
We can see that a set of locations in the LA area index for the surfing brand – the mecca of surfing is huntington beach. This validates our data because of such a clean signal.