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Taking Advantage of First
Party Data
New Research Findings
Stefan Tornquist, VP Research, Econsultancy
Kathy Menis, VP of Product Marketing, Signal
Our speakers
Stefan Tornquist
VP, Research
Econsultancy
@SKTornquist
Kathy Menis
VP, Product Marketing
Signal
@KMenis
The study and some context
A look at the marketer study behind this talk
Findings
A look at top findings from our study of trends in data usage and best practice
Case Studies and Questions
Data-driven marketing in the real world and your questions
Today
The Study
• 302 Brands
• Revenues $100MM+ (41% $1B+)
• Director+ (VP/C-suite/Board 32%)
• Broad range of industries
• Minimum of 2 data categories, over 50% using all
What and how – data in context
/01
Our lens: the Leaders and the mainstream
36%
47%
8%
2%
1% 6%
Strong positive impact
Some positive impact
No significant impact
Some negative impact
Strong negative impact
Cannot document
Impact of data-related marketing investments
The 3 data categories
81%
71%
77%
48%
61%
56%
0%
20%
40%
60%
80%
100%
Strong ROI Rest of Sample
First party data (data your organization collects directly)
Second party data (first-party data collected by trusted partners)
Third party data (aggregated data from outside sources)
Usage of main data types
27%
43%
39%
47%
48%
69%
69%
45%
51%
58%
63%
63%
67%
69%
0% 20% 40% 60% 80%
Behavioral data from third party sources
Customer data from third party sources
Behavioral data from our sites and
campaigns
Demographic customer data from third
party sources
Data about our customers from trusted
partners
Customer information (CRM)
Transaction history
Strong ROI Rest of Sample
The first-party opportunity
/02
Sources for first-party data
8%
46%
35%
41%
47%
63%
74%
23%
47%
60%
60%
61%
63%
70%
0% 10% 20% 30% 40% 50% 60% 70% 80%
Beacons
Call center data
Mobile web
Mobile applications
Email/SMS
Point of sale/offline CRM data
Website
Strong ROI Rest of Sample
The best data for the job…
62%
68% 64%
74%
30% 23% 31%
18%
8% 9% 5% 8%
0%
25%
50%
75%
100%
Highest lift among our
data sources
Easiest financial
justification for use
Highest increase to
our customer lifetime
value
Greatest insight into
our customers
First party data Second party data Third party data
The data/capability connection
34%
32%
42%
46%
44%
60%
40%
48%
59%
59%
60%
66%
Programmatic buying of online display ads
Customer journey analysis
Marketing attribution
Audience segmentation
Content personalization on our sites and/or
applications
Campaign targeting/analysis
Share of respondents with "Strong capability"
Strong ROI Rest of Sample
The quality challenge
/03
The Quality Challenge
65%
55%
45%
35%
25%
Usefulnessofdata(%reporting“highlyuseful”)
Accuracy of data (% reporting “highly accurate”)
25% 30% 35% 40% 45%
CRM
1st party
behavioral
data
3rd party
demographic
data
3rd party
behavioral
data
2nd party
customer
data
Transaction
history
3rd party
customer
data
The Quality Challenge
15%
29%
26%
16%
16%
31%
42%
16%
21%
25%
25%
30%
37%
47%
Lack of scale
Disparate applications and databases
Can’t act on data quickly enough – data
decay
Getting an accurate digital identity in the
post-cookie
Ad hoc approach – we’re not being
measured and strategic
Availability/ability to collect data
Data quality
Strong ROI Rest of Sample
Looking ahead
/04
Clear direction for first-party data
23%
30%
49%
21%
30%
33%
32%
33%
18%
17%
4%
8%
3%
0% 20% 40% 60% 80% 100%
Increasing use of third-party data
Increasing use of second-party data
Increasing use of first-party data
Strongly agree Agree Neutral Disagree Strongly disagree
Moving forward – lessons from the leaders
45% 44%
37%
40%
16% 16%
11%
16%
0%
10%
20%
30%
40%
50%
We have a well-
documented data strategy
that extends out a year or
more
We have policies and
procedures on how we
define, manage and use
all types of data
We have sufficient human
resources to power our
data initiatives
We have processes for
the measurement of data
Share of respondents citing "Strongly agree"
Strong ROI Rest of Sample
Success Stories
/05
Organizing Around Data
Personalization
Real-Time Retargeting
WEBSITE
PROBLEM:
• Can’t identify new members in first 48
hours
• Lost opportunity
SOLUTION:
• Data integration
• ID resolution -100% authentication at
login
• Retarget while in market in the moment
“Thanks to our partnership with Signal, Rue La La was able to increase customer conversions
more than 10%. We accomplished this in short order using Signal Fuse, which gave us the
means to strategically leverage one of our most valuable assets –
our customer data.”
Acquisition Marketing Manager, Rue La La
RETAILERS BRANDS
Rise of 2nd Party Ad Networks
Questions?
/05
Questions / Answers
Stefan Tornquist
VP, Research
Econsultancy
@SKTornquist
Kathy Menis
VP, Product Marketing
Signal
@KMenis
Thank you!

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The Promise of First-Party Data: How the Top Brands Get the Strongest ROI for their Data Investments

  • 1. Taking Advantage of First Party Data New Research Findings Stefan Tornquist, VP Research, Econsultancy Kathy Menis, VP of Product Marketing, Signal
  • 2. Our speakers Stefan Tornquist VP, Research Econsultancy @SKTornquist Kathy Menis VP, Product Marketing Signal @KMenis
  • 3. The study and some context A look at the marketer study behind this talk Findings A look at top findings from our study of trends in data usage and best practice Case Studies and Questions Data-driven marketing in the real world and your questions Today
  • 4. The Study • 302 Brands • Revenues $100MM+ (41% $1B+) • Director+ (VP/C-suite/Board 32%) • Broad range of industries • Minimum of 2 data categories, over 50% using all
  • 5. What and how – data in context /01
  • 6. Our lens: the Leaders and the mainstream 36% 47% 8% 2% 1% 6% Strong positive impact Some positive impact No significant impact Some negative impact Strong negative impact Cannot document Impact of data-related marketing investments
  • 7. The 3 data categories 81% 71% 77% 48% 61% 56% 0% 20% 40% 60% 80% 100% Strong ROI Rest of Sample First party data (data your organization collects directly) Second party data (first-party data collected by trusted partners) Third party data (aggregated data from outside sources)
  • 8. Usage of main data types 27% 43% 39% 47% 48% 69% 69% 45% 51% 58% 63% 63% 67% 69% 0% 20% 40% 60% 80% Behavioral data from third party sources Customer data from third party sources Behavioral data from our sites and campaigns Demographic customer data from third party sources Data about our customers from trusted partners Customer information (CRM) Transaction history Strong ROI Rest of Sample
  • 10. Sources for first-party data 8% 46% 35% 41% 47% 63% 74% 23% 47% 60% 60% 61% 63% 70% 0% 10% 20% 30% 40% 50% 60% 70% 80% Beacons Call center data Mobile web Mobile applications Email/SMS Point of sale/offline CRM data Website Strong ROI Rest of Sample
  • 11. The best data for the job… 62% 68% 64% 74% 30% 23% 31% 18% 8% 9% 5% 8% 0% 25% 50% 75% 100% Highest lift among our data sources Easiest financial justification for use Highest increase to our customer lifetime value Greatest insight into our customers First party data Second party data Third party data
  • 12. The data/capability connection 34% 32% 42% 46% 44% 60% 40% 48% 59% 59% 60% 66% Programmatic buying of online display ads Customer journey analysis Marketing attribution Audience segmentation Content personalization on our sites and/or applications Campaign targeting/analysis Share of respondents with "Strong capability" Strong ROI Rest of Sample
  • 14. The Quality Challenge 65% 55% 45% 35% 25% Usefulnessofdata(%reporting“highlyuseful”) Accuracy of data (% reporting “highly accurate”) 25% 30% 35% 40% 45% CRM 1st party behavioral data 3rd party demographic data 3rd party behavioral data 2nd party customer data Transaction history 3rd party customer data
  • 15. The Quality Challenge 15% 29% 26% 16% 16% 31% 42% 16% 21% 25% 25% 30% 37% 47% Lack of scale Disparate applications and databases Can’t act on data quickly enough – data decay Getting an accurate digital identity in the post-cookie Ad hoc approach – we’re not being measured and strategic Availability/ability to collect data Data quality Strong ROI Rest of Sample
  • 17. Clear direction for first-party data 23% 30% 49% 21% 30% 33% 32% 33% 18% 17% 4% 8% 3% 0% 20% 40% 60% 80% 100% Increasing use of third-party data Increasing use of second-party data Increasing use of first-party data Strongly agree Agree Neutral Disagree Strongly disagree
  • 18. Moving forward – lessons from the leaders 45% 44% 37% 40% 16% 16% 11% 16% 0% 10% 20% 30% 40% 50% We have a well- documented data strategy that extends out a year or more We have policies and procedures on how we define, manage and use all types of data We have sufficient human resources to power our data initiatives We have processes for the measurement of data Share of respondents citing "Strongly agree" Strong ROI Rest of Sample
  • 22. Real-Time Retargeting WEBSITE PROBLEM: • Can’t identify new members in first 48 hours • Lost opportunity SOLUTION: • Data integration • ID resolution -100% authentication at login • Retarget while in market in the moment
  • 23. “Thanks to our partnership with Signal, Rue La La was able to increase customer conversions more than 10%. We accomplished this in short order using Signal Fuse, which gave us the means to strategically leverage one of our most valuable assets – our customer data.” Acquisition Marketing Manager, Rue La La
  • 24. RETAILERS BRANDS Rise of 2nd Party Ad Networks
  • 26. Questions / Answers Stefan Tornquist VP, Research Econsultancy @SKTornquist Kathy Menis VP, Product Marketing Signal @KMenis

Hinweis der Redaktion

  1. Welcome to today’s webinar The Global Conversation…from Econsultancy and Lionbridge, Switch
  2. So today we’ll talk about the study that’s supplying data for this talk and a report of the same name. Then we’ll look at some of the findings before moving on to case studies and your questions.
  3. We’ve divided our findings into a few sections…this one is the longest because it addresses one of the trickiest issues in any marketing organization, especially if it deals with multiple regions – how do you balance local relevance with global priorities and brand.
  4. The goal of the study was to discover and highlight what works…and what doesn’t. So instead of just looking at averages we’re going to looking at the results through this lens…comparing the companies that are exceptional at global marketing with the mainstream.