How prepared is your organization for the imminent loss of third-party data? Are you ready for first-party data to take center stage in your marketing strategy? Maybe you’re feeling unsure of how to use first-party data? While cookies going away will reduce your access to third-party data, you can still strike the right balance with your acquisition strategies and provide your customers with personalized experiences. Join our webinar to learn how to design a future-proof strategy that maximizes the potential of your first-party data in a cookieless world. You'll discover: - Why activating your first-party data is crucial in a cookieless world. - How to leverage your first-party data in a future-proof way. - How to build your organization's first-party data capabilities. Vishal Maru, Vice President of Digital Solutions at iQuanti, will explain how enterprises can embrace the power of first-party data and better connect with their customers. Most industries and organizations have still yet to fully utilize the power of first-party data in their strategies. Learn how to create a personalized user experience, improve your retargeting strategy, identify patterns, and predict future trends to steer your organization toward more successful campaigns.

2. VISHAL MARU
• Over 13 years of growth and product
marketing leadership experience, across firms in
North America, Europe and APAC
• Currently VP Digital Solutions at iQuanti and
leads cross-channel strategy and solutions for
clients, with focus on financial services
• Previously, led customer acquisition efforts at
Discover and Enova Financial.

3. 1 The evolving privacy landscape
Today we’ll discuss…
2 Why first party data?
3 How to effectively leverage first party data?
4 Building a roadmap for implementation

4. The changing privacy landscape is having
a dramatic impact on the digital marketing
eco-system
The evolving privacy landscape

5. The continued focus on privacy is leading to changes in the legal and
technology landscape

6. Changing customer mindset
The continued focus on privacy is leading to changes in the legal and
technology landscape

7. Changing customer mindset
Privacy regulations – GDPR, CCPA,
etc.
The continued focus on privacy is leading to changes in the legal and
technology landscape

8. Changing customer mindset
Privacy regulations – GDPR, CCPA,
etc.
Privacy changes from key players -
Google & Apple
The continued focus on privacy is leading to changes in the legal and
technology landscape

9. Changing customer mindset
Privacy regulations – GDPR, CCPA,
etc.
Privacy changes from key players -
Google & Apple
The continued focus on privacy is leading to changes in the legal and
technology landscape
Impact of third-party cookie deprecation
• Nearly 85% of the top 1,000 sites have cookies set
by a third party, which will be ineffective
• Estimated revenue loss of $10B for publishers

10. Changing customer mindset
Privacy regulations – GDPR, CCPA,
etc.
Privacy changes from key players -
Google & Apple
Impact of third-party cookie deprecation
• Nearly 85% of the top 1,000 sites have cookies set
by a third party, which will be ineffective
• Estimated revenue loss of $10B for publishers
Impact of Apple’s ATT feature
• With App Tracking Transparency (ATT), 63% of US
customers will actively opt to be not tracked
• Estimated revenue loss of $10B for Facebook in
2022
The continued focus on privacy is leading to changes in the legal and
technology landscape
*Source: AppsFlyer, Adage, CNBC

11. What this means for advertisers

12. What this means for advertisers
Ineffective targeting
Demise of third-party cookies and ATT updates will
lead to ineffective targeting. Impact will be different
across channels / platforms.

13. What this means for advertisers
Ineffective targeting Challenges with measurement & attribution
Demise of third-party cookies and ATT updates will
lead to ineffective targeting. Impact will be different
across channels / platforms.
Inability to stitch journeys across platforms,
channels, devices will make multi-touch attribution
models less reliable

14. What this means for advertisers
Ineffective targeting Challenges with measurement & attribution
Demise of third-party cookies and ATT updates will
lead to ineffective targeting. Impact will be different
across channels / platforms.
Inability to stitch journeys across platforms,
channels, devices will make multi-touch attribution
models less reliable
Lower campaign efficiencies, lower advertising ROI, limits
scale
Other challenges include unable to track reach and frequency, and making fraud
detection difficult

15. What this means for advertisers
Ineffective targeting Challenges with measurement & attribution
Demise of third-party cookies and ATT updates will
lead to ineffective targeting. Impact will be different
across channels / platforms.
Inability to stitch journeys across platforms,
channels, devices will make multi-touch attribution
models less reliable
Other challenges include unable to track reach and frequency, and making fraud
detection difficult
Lower campaign efficiencies, lower advertising ROI, limits scale

16. First party data is the only certain solution
in an evolving landscape
Why first party data?

17. There is uncertainty about which industry solution(s) will emerge and how
effective they will be in resolving the third-party cookie issue

18. All the above solutions are still work-in-progress
There is uncertainty about which industry solution(s) will emerge and how
effective they will be in resolving the third-party cookie issue
Google Privacy Sandbox
Trade Desk Unified ID 2.0
Proprietary ID Resolution Solutions

19. Why first party data?
First party data is the only certain solution in these uncertain circumstances

20. Why first party data?
Accuracy Relevancy
Availability Cost effectiveness
First party data is the only certain solution in these uncertain circumstances

21. A QUICK POLL:
What percentage of your first party data are you leveraging in digital
marketing campaigns?

22. 1.3 First party vs zero party vs second party vs third party
First party vs. second party vs. third party vs. zero party data

23. 1.3 First party vs zero party vs second party vs third party
First party vs. second party vs. third party vs. zero party data
Your own
customers’ data
Includes users’
• Profile info
• Actions
• Interests
FIRST PARTY
DATA

24. 1.3 First party vs zero party vs second party vs third party
First party vs. second party vs. third party vs. zero party data
SECOND PARTY
DATA
Your own
customers’ data
Includes users’
• Profile info
• Actions
• Interests
FIRST PARTY
DATA
Data acquired from
a trusted partner
• Insured data quality
and accuracy.
• Relevant data as the
source is reliable.

25. 1.3 First party vs zero party vs second party vs third party
First party vs. second party vs. third party vs. zero party data
SECOND PARTY
DATA
THIRD PARTY
DATA
Your own
customers’ data
Includes users’
• Profile info
• Actions
• Interests
FIRST PARTY
DATA
Data acquired from
a trusted partner
• Insured data quality
and accuracy.
• Relevant data as the
source is reliable.
Data acquired from
data aggregator
• Aggregators do not
collect data directly.
• They obtain it from
others and compile it
into a single dataset.

26. 1.3 First party vs zero party vs second party vs third party
First party vs. second party vs. third party vs. zero party data
SECOND PARTY
DATA
THIRD PARTY
DATA
ZERO PARTY
DATA
Your own
customers’ data
Includes users’
• Profile info
• Actions
• Interests
FIRST PARTY
DATA
Data acquired from
a trusted partner
• Insured data quality
and accuracy.
• Relevant data as the
source is reliable.
Data acquired from
data aggregator
• Aggregators do not
collect data directly.
• They obtain it from
others and compile it
into a single dataset.
Data customers
intentionally and
proactively share
Subset of first party
data. Includes
• Preference data
• Purchase intentions
• PIIs

27. Key components for building a strong first-party data strategy
02
01
03
Build a robust first-party data and
MarTech infrastructure
Effectively leverage first-party data for
digital activation
Effectively leverage first-party data for
measurement and attribution

28. Key components for building a strong first-party data strategy
02
01
03
Build a robust first-party data and
MarTech infrastructure
Effectively leverage first-party data for
digital activation
Effectively leverage first-party data for
measurement and attribution

29. Effectively leveraging first party data –
Step 1: Segmentation
How to effectively leverage first party data?

30. Typical challenges we see with leveraging audience strategies in digital
marketing campaigns
Programmatic Display
Cross sell
segments
Programmatic Display
Similar Audience
Segments
Programmatic Display
Remarketing
segments
Programmatic Display
Negative targeting
segments

31. Typical challenges we see with leveraging audience strategies in digital
marketing campaigns
Entire customer
lists uploaded for
cross-sell, thus, no
prioritization or
personalization of
product /offer/
message
Programmatic Display
Cross sell
segments
Programmatic Display
Similar Audience
Segments
Programmatic Display
Remarketing
segments
Programmatic Display
Negative targeting
segments

32. Typical challenges we see with leveraging audience strategies in digital
marketing campaigns
Entire customer lists
or all online
conversions
leveraged for building
similar audiences, no
prioritization based
on profitability
Programmatic Display
Cross sell
segments
Programmatic Display
Similar Audience
Segments
Programmatic Display
Remarketing
segments
Programmatic Display
Negative targeting
segments

33. Typical challenges we see with leveraging audience strategies in digital
marketing campaigns
Simplistic remarketing
strategy, segmenting
based on users
visiting content
pages, product pages,
conversion pages, etc.
Programmatic Display
Cross sell
segments
Programmatic Display
Similar Audience
Segments
Programmatic Display
Remarketing
segments
Programmatic Display
Negative targeting
segments

34. Typical challenges we see with leveraging audience strategies in digital
marketing campaigns
Negative targeting
not leveraged. For
instance, in Paid
Search spending on
customers with login
intent
Programmatic Display
Cross sell
segments
Programmatic Display
Similar Audience
Segments
Programmatic Display
Remarketing
segments
Programmatic Display
Negative targeting
segments

35. Better segmentation results in better personalization and spend prioritization
resulting in marketing effectiveness

36. Better segmentation results in better personalization and spend prioritization
resulting in marketing effectiveness
High value customers with deep relationships
High potential
customers using as
secondary account
Mass market
customers using as
primary bank account
Low balance
dormant
customers
Low
balance with
overdraft
fees incurred
Profitability
1
2 3
4
6
Gamers*
5
High
Profitability
(~10%)
Low - Medium
Profitability
(~55%)
Unprofitable
(~35%)
1 Leverage for lookalike modeling
– high priority segment
Leverage for lookalike modeling
– medium priority segment
(bread & butter accounts)
Leverage for up-sell / cross-sell
Negatively target for all banking
products. Identify channels,
tactics driving gamers
3
5
6
2
Segmentation of banking customers based on profitability and behavior for building customized
marketing tactics
*Gamers are individuals who try to open an account just to avail the offer / promotion, and then close the account

37. Sample Use Case: Use GMP stack for building segments using web analytics and first party data
With the new Google Analytics 4 BigQuery Export, customers can export all of their raw, unsampled events from
Google Analytics 4 Properties to BigQuery, and then use a SQL-like syntax to query that data. In BigQuery, they
can choose to export their data to an external storage or import external data for the purposes of combining it with
their Analytics data.
Collect & Analyze Activation
Data Source
BigQuery
Project
Cloud
Machine
Learning
Export
back to
GA
GA4
Properties
First party
data
Leverage advanced analytics and ML for building audience segments

38. Effectively leveraging first party data –
Step 2: Actively building first party data
How to effectively leverage first party data?

39. Building first/zero party data for effective full funnel marketing
Deals / Offers Product Finder Personalized Recommendations Reports / whitepapers
Not just building the data, but ensuring you are capturing the data and building
custom segments that can be leveraged for personalization and prioritization

40. Effectively leveraging first party data –
Step 3: Optimizing for profitability
How to effectively leverage first party data?

41. Optimizing for online conversion events in paid search results in lower
ROAS
Paid Search
Campaign
Online
Conversion
Offline
Conversion
Revenue /
LTV
Leads
App Approval
Purchase
(AOV)
Sales
Loan Funded
Returns
Revenue /
LTV
Repeat
purchases
Feedback to platform
KPIs
Lag by few weeks to few months or more

42. Leverage predictive analytics to score customer based on future revenue
potential, at the time of online conversion
Profile
Attributes
Product
Attributes
Environmental
Attributes
Predictive
Analytics
•Demographics
•Income, assets, home value
•Company size
•CRM data for existing
customers
•Product / category (e.g.,
home décor, electronics,
etc.)
•Loan amount
•Browser, device
•Day of week, time of day
•Campaign, themes, etc.

43. Leverage predictive analytics to score customer based on future revenue
potential, at the time of online conversion
Profile
Attributes
Product
Attributes
Environmental
Attributes
Based on our experience, these
attributes are typically strong
indicators of downstream
revenue / profitability
Leverage data analytics / data
sciences team to run predictive
analytics to help build value
scores
iQuanti’s Value & Intent Scoring
Engine (VISE) scores users on value
and propensity based on website
engagement and application
Predictive
Analytics
•Demographics
•Income, assets, home value
•Company size
•CRM data for existing
customers
•Product / category (e.g.,
home décor, electronics,
etc.)
•Loan amount
•Browser, device
•Day of week, time of day
•Campaign, themes, etc.

44. Effectively leveraging first party data –
Step 4: Create partnerships to leverage
second party data
How to effectively leverage first party data?

45. Publishers are focusing on building their first party data
Publishers are implementing
• Pay walls
• Registration walls
• Cookie walls
Major publishers had this in
place already.
They are also building holistic
user profiles based on their
data and ID resolution with
other first party data.
Registration wall Cookie wall Pay wall

46. Forbes.com has several offerings for advertisers to reach some
key audience segments
BrandVoice connects your brand with Forbes’ influential global
audiences, through resonant storytelling, expertise and thought
leadership.
Focused on core segments
• Women
• Under 30s
• Business & Tech Decision Makers
• High-Net-Worth Investors & Buyers
• Business Owners
• CxOs
Leverage advertising offerings from large publishers which have strong first-
party data based segments
Source: Forbes

47. Retail media advertising will be the highest growth ad segment in 2022

48. Retail media advertising will be the highest growth ad segment in 2022
Source: ‘Retail media networks hit their stride in 2021’, eMarketer

49. • Retail media advertising will jump by
31.4% in 2022 to $41.37 billion,
marking it out as one of the digital ad
segments with the highest growth
Retail media advertising will be the highest growth ad segment in 2022
Source: ‘Retail media networks hit their stride in 2021’, eMarketer

50. • While Amazon still dominates with
77.7% of US digital retail media
spend, companies like Walmart and
Instacart are emerging as media
networks to watch.
Retail media advertising will be the highest growth ad segment in 2022
Source: ‘Retail media networks hit their stride in 2021’, eMarketer

51. • New Entrants – Albertsons, Dollar Tree,
Gopuff, Lowe’s.
Retail media advertising will be the highest growth ad segment in 2022
Source: ‘Retail media networks hit their stride in 2021’, eMarketer

52. How to effectively leverage first party data?
Effectively leveraging first party data –
Step 5: Personalization

53. 3.6 Maximize Effectiveness of Owned Media Through Data-Driven Personalization
There are different approaches to personalization –
1. Rules Based Personalization
2. AI / Machine Learning Driven Personalization
Identify the right approach to personalization based on your scale and maturity
AI / Machine Learning Driven Personalization

54. 3.6 Maximize Effectiveness of Owned Media Through Data-Driven Personalization
There are different approaches to personalization –
1. Rules Based Personalization
2. AI / Machine Learning Driven Personalization
Organizations that extensively
personalize their message report an ROI
in excess of 20 times for every dollar
spent*
*Source: Advanis survey commissioned by Adobe
Identify the right approach to personalization based on your scale and maturity
AI / Machine Learning Driven Personalization

55. Chase has different sections on the page that are personalized for the user
3.6 Maximize Effectiveness of Owned Media Through Data-Driven Personalization
Personalized Elements

56. How to effectively leverage first party data?
Effectively leveraging first party data –
Step 6: Gathering Consent

57. Respecting customer’s privacy and being transparent will help gain their
trust
• Clear privacy policy
• Respect opt-out
• Only collect data that you need

58. Respecting customer’s privacy and being transparent will help gain their
trust
• Clear privacy policy
• Respect opt-out
• Only collect data that you need

59. Overcoming organizational challenges to build
and implement an effective first party data
strategy
Building a roadmap for implementation

60. Challenges organizations face with effectively leveraging first party data for
digital marketing
Programmatic Display
Organizational &
data silos Programmatic Display
Lack of in-house
capabilities
Programmatic Display
Lack of effective
full-funnel activation
strategy

61. Challenges organizations face with effectively leveraging first party data for
digital marketing
Programmatic Display
Organizational &
data silos Programmatic Display
Lack of in-house
capabilities
Programmatic Display
Lack of effective
full-funnel activation
strategy
• Online-offline data
disconnected
• Marketing, data
analytics & data
infrastructure teams
are siloed
• Lack of strong overall
first party data
strategy

62. Challenges organizations face with effectively leveraging first party data for
digital marketing
Programmatic Display
Organizational &
data silos Programmatic Display
Lack of in-house
capabilities
Programmatic Display
Lack of effective
full-funnel activation
strategy
• Advanced analytics
and data science
capabilities and
bandwidth
• Fast evolving
MarTech landscape –
CDPs, ID Resolution,
GA4, Data Clean
Rooms etc.

63. Challenges organizations face with effectively leveraging first party data for
digital marketing
Programmatic Display
Organizational &
data silos Programmatic Display
Lack of in-house
capabilities
Programmatic Display
Lack of effective
full-funnel activation
strategy
• Brand and acquisition
teams disconnected
• Not utilizing first
party audiences
effectively in digital
channels
• Not optimizing
performance towards
business KPIs.

64. Overcoming challenges and building a roadmap for implementation
Building a first
party data strategy
Investing in a robust
infrastructure
Building or augmenting
capabilities
Effectively activating
first party data

65. Overcoming challenges and building a roadmap for implementation
Investing in a robust
infrastructure
Building or augmenting
capabilities
Effectively activating
first party data
Building a first
party data strategy
Building a first
party data strategy
• Break organizational
and data silos
• Come together to
build a first party data
strategy (including
identifying all data
sources, data cleaning,
mapping across customer
journey and opportunities
for building data)

66. Overcoming challenges and building a roadmap for implementation
Building or augmenting
capabilities
Effectively activating
first party data
Building a first
party data strategy
Building a first
party data strategy
• Onboarding platforms
– CDP, CMP, ID
Resolution,
personalization, GMP
etc.
• Building a connected
infrastructure
Investing in a robust
infrastructure

67. Overcoming challenges and building a roadmap for implementation
Effectively activating
first party data
Building a first
party data strategy
Building a first
party data strategy
• Data science,
advanced analytics,
platform specific
(CDP, personalization
etc.) capabilities
• Augment resources
Building or
augmenting
capabilities
Investing in a robust
infrastructure

68. Overcoming challenges and building a roadmap for implementation
Building a first
party data strategy
Building a first
party data strategy
• Effective
segmentation for
prioritization &
personalization
• Full-funnel approach
• Leveraging AI/ML for
an advanced strategy
(for example, predictive
audiences).
Effectively activating
first party data
Investing in a robust
infrastructure
Building or augmenting
capabilities

69. Objective: To help organizations maximize the potential of their first party data in digital marketing.
First party data audit from iQuanti

70. Objective: To help organizations maximize the potential of their first party data in digital marketing.
First party data audit from iQuanti
Programmatic Display
The audit will cover:
First Party Data – Self Assessment
Respond to 12 questions (5-7 mins) to help iQuanti assess and build a customized report with benchmarks against peer-set and
high-level gaps and opportunities. Access iQuanti’s assessment here.
• Mapping of first party data availability from various sources
• Utilization of data sources and attributes for audience strategy
• Mapping of the data flow across all sources
• Audit of current technology platforms in use (Example CDPs, personalization platforms,
etc,.) and identification of attributes/ opportunities for optimal usage of these platforms
• Evaluation of audience activation tactics across all digital channels (segmentation,
personalization, etc.)

71. Objective: To help organizations maximize the potential of their first party data in digital marketing.
First-party data utilization assessment from iQuanti
Programmatic Display
Deliverables:
• Recommendations on the overall 1st party data and infrastructure usage
• Recommendations on technology vendors as per use cases
• Recommendations on additional data sources and attributes that can be utilized
• Recommendations on activation tactics to maximize potential of first party data
First Party Data – Self Assessment
Respond to 12 questions (5-7 mins) to help iQuanti assess and build a customized report with benchmarks against peer-set and
high-level gaps and opportunities. Access iQuanti’s assessment here.

73. Bangalore
Singapore
London
Toronto
New York
Chicago
San Francisco
Mexico City
Vishal.Maru@iQuanti.com
Connect on LinkedIn
iQuanti.com
Thank You!