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Using TV Data to Build Better Reach Frequency and
Attribution Models to best Understand the Path to
Conversion
Measurable Impact
March 2018
Worldwide
representation
12 offices / 200+ employees
NY
CHITahoe
SF
LA
London
Warsaw
Tokyo
TaipeiShenzenATL
Industry investments
Technology has paved the
way for audience evolution.
As well as audience
fragmentation.
Fragmentation
has led to gaps
in viewers insights
An incomplete view of the consumer leads to:
• Duplicated reach & frequency
• Siloed outreach strategies
• Inaccurate or unreliable measurement
• Distributed knowledge centers
Understand &
use fragmentation
to your advantage.
Solve for the Viewer Insights Gap by
leveraging access to precise TV viewership
data, online behaviors and household
attributions to fill in the gap and reach
audiences more effectively and efficiently.
Bridge the viewer
insights gap
with 1:1 data
The key is to understand your audience:
• TV Viewership
• Digital devices used
• Household attributes
• Location
• Online behaviors
The Samba
technology
Video ACR capture
technology
1
2
2
2
2
2
2
2
1
Broadest, most representative
footprint
1:1 connection with
consumers
=
+
Our focus
to access
viewer data
at scale
1:1 core mapping
for finding similar audiences (13.5M HH’s)
2800+ attributes
used to define & identify audience profiles
for precise, balanced & scaled reach or
measurement
1:1 quality data
finds high-propensity targets while powering amplification
BROADCAST CONVERSION RATE
For the first time, brands can measure the path to purchase within millions of
homes, starting with TV exposure, followed by digital engagement, location and
ultimately conversion.
TOTAL TV EXPOSED
SAMBA TV PANEL
EXPOSED
WEBSITE
VISITS
DIGITAL CAMPAIGN
EXPOSED
BCR
(TV ONLY)
BCR
WEBSITE
VISITS
Broadcast conversion directly measures TV
campaign conversion across all digital devices.
Website visitation, or foot traffic is considered the
key broadcast conversion metric while purchase is a
secondary conversion metric.
Broadcast conversion is based on those exposed to TV
ads in the Samba TV universe who converted on a digital
device.
Samba TV will also measure those exposed to digital
campaigns to understand the efficacy of a multi channel
campaign.
BROADCAST CONVERSION RATE EXPLAINED
TV
TV+DIGITAL
Total Reach &
Frequency
Case study
Study Methodology
& parameters
Case study:
Total Reach & Frequency
Learning Objective:
Measure a Fortune 500 CPG
Company and it’s Product’s
digital video campaigns against
A25-54 to understand cross-
screen reach/frequency exposure
across Light, Medium and Heavy
TV viewers against digital
partners
TV Campaign:
Full Flight dates: 10/2/17-12/31/17
TV Assets:
• Brand 1: 1 (228,823 (000) impressions)
(1,832 Total Spots)
• Brand 2: 3 (560,079 (000) impressions)
(6,234 Total Spots)
Digital Campaign:
Full Flight Dates: 10/2/17-12/31/17
Publishers:
• CBS Direct – 7,086,023 impressions
tracked
• Hulu – 9,336,896 impressions tracked
Segment description:
Divided the Samba Universe into three
equal viewership segments based on TV
consumption for the duration of the
campaign flight dates (10/2/17 –
12/31/17).
Lock definition:
• Light: < 25hours
• Medium: 26-88 hours
• Heavy: 89+ hours
TV & Digital Video
delivery against TV
viewing groups
Case study:
Total Reach & Frequency
Digital Video delivers
almost as many light
viewers as TV, but at a
more cost efficient rate
Case study:
Total Reach & Frequency
Digital placements drove incremental reach and
had only a 3.5 percentage point difference in
reach for the brand.
For the Target audience of households with a
25-54 year old, the difference in reach was only
1.7 percentage points.
For the Target audience of households with a
25-54 year old, the difference in reach was only
1.7 percentage points.
6%
5%
3%
4%
0%
2%
4%
6%
8%
Total Audience Adults 25-54
TV Only Digital
Only
How can Digital increase
frequency against
a light TV viewer?
Case study:
Total Reach & Frequency
As investment in
digital video grows,
so does delivery
against light TV viewers
Case study:
Total Reach & Frequency
The Light Viewer incremental reach was even
greater amongst the 25-54 age demographic than
the general exposed audience.
The Light TV Viewers had an higher jump for
Digital exposures with 38% of the campaign being
digital.
TV Only Digital
Only
93% 97% 91%
56%
4% 1%
5%
38%
3% 2% 4% 6%
0
0.25
0.5
0.75
1
1.25
Total audience Heavy viewers Medium viewers Light viewers
TV+Digital
TV Freq. 4.2 5.0 2.0 1.4
Digital Freq 3.1 2.7 2.9 3.2
Both Freq. 7.3 8.3 5.8 6.9
3% 2% 4% 6%
4% 1% 5%
38%
The Brand’s TV delivery skews towards
heavy TV viewers with ~60% of GRPs
against heaviest viewing quintile
Case study:
Total Reach & Frequency
Digital video plan was designed to efficiently and
effectively reach light TV viewers and redistribute
frequency -
Samba data indicates the plan is achieving the objective
Planning Activation Measurement Optimization
Use viewership data to create
& advertise to audience
segments most likely to tune-
in to your content
Purchase data segments
programmatically through
self-service or Samba TV
managed service
Accurately attribute tune-ins
to ad exposure across TV &
digital buys with Verified
Tune-in Rate & DCM
Apply actionable insidehts
to future planning cycles,
optimizing media plans to
ensure ideal media mix,
targeting tactics &
frequency
Data
applications
Thank you
JC Clarke
RVP, Central
jc.clarke@samba.tv

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Measurable Impact: Using TV Data to Build Better Attribution Models and Understand the Path to Conversion

  • 1. Using TV Data to Build Better Reach Frequency and Attribution Models to best Understand the Path to Conversion Measurable Impact March 2018
  • 2. Worldwide representation 12 offices / 200+ employees NY CHITahoe SF LA London Warsaw Tokyo TaipeiShenzenATL
  • 4. Technology has paved the way for audience evolution. As well as audience fragmentation.
  • 5. Fragmentation has led to gaps in viewers insights An incomplete view of the consumer leads to: • Duplicated reach & frequency • Siloed outreach strategies • Inaccurate or unreliable measurement • Distributed knowledge centers
  • 6. Understand & use fragmentation to your advantage. Solve for the Viewer Insights Gap by leveraging access to precise TV viewership data, online behaviors and household attributions to fill in the gap and reach audiences more effectively and efficiently.
  • 7. Bridge the viewer insights gap with 1:1 data The key is to understand your audience: • TV Viewership • Digital devices used • Household attributes • Location • Online behaviors
  • 8. The Samba technology Video ACR capture technology 1 2 2 2 2 2 2 2 1 Broadest, most representative footprint 1:1 connection with consumers = +
  • 9. Our focus to access viewer data at scale 1:1 core mapping for finding similar audiences (13.5M HH’s) 2800+ attributes used to define & identify audience profiles for precise, balanced & scaled reach or measurement 1:1 quality data finds high-propensity targets while powering amplification
  • 10. BROADCAST CONVERSION RATE For the first time, brands can measure the path to purchase within millions of homes, starting with TV exposure, followed by digital engagement, location and ultimately conversion.
  • 11. TOTAL TV EXPOSED SAMBA TV PANEL EXPOSED WEBSITE VISITS DIGITAL CAMPAIGN EXPOSED BCR (TV ONLY) BCR WEBSITE VISITS Broadcast conversion directly measures TV campaign conversion across all digital devices. Website visitation, or foot traffic is considered the key broadcast conversion metric while purchase is a secondary conversion metric. Broadcast conversion is based on those exposed to TV ads in the Samba TV universe who converted on a digital device. Samba TV will also measure those exposed to digital campaigns to understand the efficacy of a multi channel campaign. BROADCAST CONVERSION RATE EXPLAINED TV TV+DIGITAL
  • 13. Study Methodology & parameters Case study: Total Reach & Frequency Learning Objective: Measure a Fortune 500 CPG Company and it’s Product’s digital video campaigns against A25-54 to understand cross- screen reach/frequency exposure across Light, Medium and Heavy TV viewers against digital partners TV Campaign: Full Flight dates: 10/2/17-12/31/17 TV Assets: • Brand 1: 1 (228,823 (000) impressions) (1,832 Total Spots) • Brand 2: 3 (560,079 (000) impressions) (6,234 Total Spots) Digital Campaign: Full Flight Dates: 10/2/17-12/31/17 Publishers: • CBS Direct – 7,086,023 impressions tracked • Hulu – 9,336,896 impressions tracked Segment description: Divided the Samba Universe into three equal viewership segments based on TV consumption for the duration of the campaign flight dates (10/2/17 – 12/31/17). Lock definition: • Light: < 25hours • Medium: 26-88 hours • Heavy: 89+ hours
  • 14. TV & Digital Video delivery against TV viewing groups Case study: Total Reach & Frequency
  • 15. Digital Video delivers almost as many light viewers as TV, but at a more cost efficient rate Case study: Total Reach & Frequency Digital placements drove incremental reach and had only a 3.5 percentage point difference in reach for the brand. For the Target audience of households with a 25-54 year old, the difference in reach was only 1.7 percentage points. For the Target audience of households with a 25-54 year old, the difference in reach was only 1.7 percentage points. 6% 5% 3% 4% 0% 2% 4% 6% 8% Total Audience Adults 25-54 TV Only Digital Only
  • 16. How can Digital increase frequency against a light TV viewer? Case study: Total Reach & Frequency
  • 17. As investment in digital video grows, so does delivery against light TV viewers Case study: Total Reach & Frequency The Light Viewer incremental reach was even greater amongst the 25-54 age demographic than the general exposed audience. The Light TV Viewers had an higher jump for Digital exposures with 38% of the campaign being digital. TV Only Digital Only 93% 97% 91% 56% 4% 1% 5% 38% 3% 2% 4% 6% 0 0.25 0.5 0.75 1 1.25 Total audience Heavy viewers Medium viewers Light viewers TV+Digital TV Freq. 4.2 5.0 2.0 1.4 Digital Freq 3.1 2.7 2.9 3.2 Both Freq. 7.3 8.3 5.8 6.9 3% 2% 4% 6% 4% 1% 5% 38%
  • 18. The Brand’s TV delivery skews towards heavy TV viewers with ~60% of GRPs against heaviest viewing quintile Case study: Total Reach & Frequency Digital video plan was designed to efficiently and effectively reach light TV viewers and redistribute frequency - Samba data indicates the plan is achieving the objective
  • 19. Planning Activation Measurement Optimization Use viewership data to create & advertise to audience segments most likely to tune- in to your content Purchase data segments programmatically through self-service or Samba TV managed service Accurately attribute tune-ins to ad exposure across TV & digital buys with Verified Tune-in Rate & DCM Apply actionable insidehts to future planning cycles, optimizing media plans to ensure ideal media mix, targeting tactics & frequency Data applications
  • 20. Thank you JC Clarke RVP, Central jc.clarke@samba.tv