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Speakers
Andy Rice
Director, Demand
Generation
Claravine
Chris Comstock
Chief Growth Officer
Claravine
What We’ll Cover
The Basics: Who are we, and what are Data Standards
The Current State: Results from our 2023 Advertiser Survey
Deeper Dives: The implications of Privacy Laws and AI on Data Standards
Next Steps: Tactics to get you started
Defining Data Standards
Data standards are a standardized method for naming data, storing data and
tracking it across the organization.
A data standards strategy is like a
playbook for keeping our data in good
shape. It’s all about deciding how we
format and handle our data to make
sure its accurate and plays well with
other systems.
Challenges
Enterprise Data Model
Point Solutions
Before Standards: An Inconsistent, Incomplete Data Mess
Retargeting
Direct
New Customer
Install
New Product
Display
Email
Social Ad
Mobile App
EMEA
24-Sneaker
2023-Q1
NA
NA
NA
24-Sneaker
24-Sneaker
24-Sneaker
24-Sneaker Product Launch
Product Launch
Product Launch
Product Launch
Product Launch
2023-Q1
2023-Q1
2023-Q1
2023-Q1
2023_Em_JS_ProdLaunch
_Jan31_Audience1
sku24-yellow-sneakers
Sneaker Promo-New
App Install
2023_Jan_IG_
ProductLaunch
Display_Acq_BU3_RED_AMZ
_MD_2023_SiteVisit
Email
Mobile
Display
Social
Content
Campaign Name Strategy Channel Year
Objective
Product
Country
The
Data
Standards
Cloud
Challenges
Enterprise Data Model
Point Solutions
After: Structured, Defined Data Across Channels
Retargeting
Direct
New Customer
Install
New Product
Display
Email
Social Ad
Mobile App
Email
EMEA
NA
24-Sneaker
2023-Q1
NA
NA
NA
24-Sneaker
24-Sneaker
24-Sneaker
24-Sneaker Product Launch
Product Launch
Product Launch
Product Launch
Product Launch
2023-Q1
2023-Q1
2023-Q1
2023-Q1
2023_Q1_EM_US_24N_Prod
Launch_Jan31_Audience1
2023_Q1_24SN_Yellow
2023_Q1_iOS_US_24SN
_Download_Apple
2023_Q1_FB_EMEA_24SN
_ProductLaunch
2023_Q1_Display_US_24N
_ProductLaunch_SiteVisit
Email
Mobile
Display
Social
Content
Campaign Name Strategy Channel Year
Objective
Product
Country
The
Data
Standards
Cloud
POLL: Do you currently have a data standards strategy
in place?
Claravine is The Data Standards Company
We help brands and agencies ensure that their data is consistent at the
source by standardizing taxonomies, naming conventions, and
metadata across all digital experiences.
Our Platform
The 2023 Data
Strategy Study
The State of Modern Marketing Data
Standards
About the Survey
140 INTERVIEWS
CONDUCTED
Job Roles
(Managed mix for stable bases)
Strategic 46%
Operations 23%
Analytics 31%
Digital Ad Spend
Medium ($50M - < $100M) 34%
Large ($100M+) 67%
Average $234M
Key Takeaways
How Marketers Manage their Data
Challenges
Are Data Standards essential?
Without a data standards
practice, our organization will fall
behind competitors or lose
market share over time
Putting a data standards practice
in place is a must to move
forward in a privacy-centric way
91%
Agree
86%
Agree
What are the biggest challenges with data sets?
Top challenge for
analytics teams and
marketers
Top challenge for
analytics teams
Lack of Access
25%
of the time for
Advertisers
Challenges
Are the right ads being served?
What percent of the time is the wrong ad creative is served to the wrong consumer?
30%
of the time for
Agencies
Challenges
Is it easy to demonstrate campaign ROI?
If I can’t properly show the ROI/ROAS,
I could lose my job
It’s difficult showing ROI/ROAS on
campaigns with more platforms and
fewer signals
83% 79%
How is data being shared?
use API or third-party partner
for sharing audience segment data
& is more likely used by Advertisers using
data standards practices
41%
most common method is sharing
Excel/Sheets
2nd
How audience segment data is shared with media partners
What is the Status Quo?
Estimated cost impact of fixing manual data entry errors
Little to no cost
Some cost
Significant
cost
8
Average number of
people needed to fix
manual data entry errors
within organization
2-3 days
Median length of time
to fix errors
Privacy
Navigating Changes
Challenges
Massive Disruption to Measurement
“Like many other direct-to-consumer
marketers, we’re seeing some disruptive
impact as our teams adjust to the new
data landscape.”
How is Privacy Changing the Data Landscape?
How is Privacy changing the data landscape?
Those with Data Standards are employing privacy-forward
practices for data sharing and analysis in greater numbers.
They are significantly more likely to be:
● Using data clean rooms
● Relying on APIs to share advertiser segment data and ad
creative assets
POLL: Do you use Data Clean Rooms?
Data Clean Room Usage
Advertisers and agencies
currently using data standards
strategies are significantly more
likely to use data clean rooms
66%
use data
clean rooms
66%
of those using data clean rooms
agree that clean rooms agree
they are the standard for privacy
compliant data matching
Navigating AI
New Technologies
How is AI changing the data landscape?
● ChatGPT – November 30, 2022
POLL: Are you using AI tools in some form today?
AI & Ad Creative
2 in 5
are currently using AI for
ad creative
50%
considering using AI for
ad creative
Confidence in ability to properly tag and track all
assets created via AI
Not at all
Somewhat
Very
Getting Started
Tactics & Best Practices
The Four States of Data Standards Maturity
Emerging
Foundational
Advanced
Leading
No unified campaign
planning
Teams in silos
Limited data clarity
Decisions made
based on anecdotal
results
Pockets of strategy
Teams beginning to
coordinate
Basic measurement
of campaign results
Optimization based
on channel-specific
results data
Executive-led planning
on priorities
Teams aligned on
tracking and taxonomy
Consistent tracking
tied to strategic goals
Decisions made based
on uniform analytics
Regular, unified,
detailed planning
across channels and
teams
Fully automated,
governed processes
for uniform tracking
Detailed tracking tied
to strategic goals
Decisions made
at-scale based on
unified, rich analytics
What Can I Do to Improve?
Challenges
The
Marketer’s
Challenge
Assess Your Current Data Standards
Tab Tab Tab Tab Tab
Don’t Wait for Perfection
Implementation
Education and
Learning
Meetings per
team/channel
Configuration
Alignment
1-2 Meetings per
team/channel
Build 1-2 Weeks
Build Review Meetings per Team +
independent reviews
Launch
Collaborate with Teams and Agencies
MARKETING & AD OPs
CONTENT & CREATIVE ANALYTICS & BI
CUSTOMER EXPERIENCE
Summary
● Data Standards are essential to keeping
pace with the industry
● Advertisers struggle with aligning the right
content to the right audience, but often
write it off as the cost of business
● Advertisers are not very confident in their
ability to tie campaign performance to
specific data or creative assets
● Companies aren’t evolving fast enough in
the face of industry changes with privacy
and AI
Implementing data
standards practices leads to
tangible, positive outcomes
30%
Estimated average
ROI increase
2023 Survey Review: State Of Marketing Data Standards In The AI Era

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2023 Survey Review: State Of Marketing Data Standards In The AI Era

  • 1.
  • 2. Speakers Andy Rice Director, Demand Generation Claravine Chris Comstock Chief Growth Officer Claravine
  • 3. What We’ll Cover The Basics: Who are we, and what are Data Standards The Current State: Results from our 2023 Advertiser Survey Deeper Dives: The implications of Privacy Laws and AI on Data Standards Next Steps: Tactics to get you started
  • 4. Defining Data Standards Data standards are a standardized method for naming data, storing data and tracking it across the organization. A data standards strategy is like a playbook for keeping our data in good shape. It’s all about deciding how we format and handle our data to make sure its accurate and plays well with other systems.
  • 5. Challenges Enterprise Data Model Point Solutions Before Standards: An Inconsistent, Incomplete Data Mess Retargeting Direct New Customer Install New Product Display Email Social Ad Mobile App EMEA 24-Sneaker 2023-Q1 NA NA NA 24-Sneaker 24-Sneaker 24-Sneaker 24-Sneaker Product Launch Product Launch Product Launch Product Launch Product Launch 2023-Q1 2023-Q1 2023-Q1 2023-Q1 2023_Em_JS_ProdLaunch _Jan31_Audience1 sku24-yellow-sneakers Sneaker Promo-New App Install 2023_Jan_IG_ ProductLaunch Display_Acq_BU3_RED_AMZ _MD_2023_SiteVisit Email Mobile Display Social Content Campaign Name Strategy Channel Year Objective Product Country The Data Standards Cloud
  • 6. Challenges Enterprise Data Model Point Solutions After: Structured, Defined Data Across Channels Retargeting Direct New Customer Install New Product Display Email Social Ad Mobile App Email EMEA NA 24-Sneaker 2023-Q1 NA NA NA 24-Sneaker 24-Sneaker 24-Sneaker 24-Sneaker Product Launch Product Launch Product Launch Product Launch Product Launch 2023-Q1 2023-Q1 2023-Q1 2023-Q1 2023_Q1_EM_US_24N_Prod Launch_Jan31_Audience1 2023_Q1_24SN_Yellow 2023_Q1_iOS_US_24SN _Download_Apple 2023_Q1_FB_EMEA_24SN _ProductLaunch 2023_Q1_Display_US_24N _ProductLaunch_SiteVisit Email Mobile Display Social Content Campaign Name Strategy Channel Year Objective Product Country The Data Standards Cloud
  • 7. POLL: Do you currently have a data standards strategy in place?
  • 8. Claravine is The Data Standards Company We help brands and agencies ensure that their data is consistent at the source by standardizing taxonomies, naming conventions, and metadata across all digital experiences. Our Platform
  • 9. The 2023 Data Strategy Study The State of Modern Marketing Data Standards
  • 10. About the Survey 140 INTERVIEWS CONDUCTED Job Roles (Managed mix for stable bases) Strategic 46% Operations 23% Analytics 31% Digital Ad Spend Medium ($50M - < $100M) 34% Large ($100M+) 67% Average $234M
  • 11. Key Takeaways How Marketers Manage their Data
  • 12. Challenges Are Data Standards essential? Without a data standards practice, our organization will fall behind competitors or lose market share over time Putting a data standards practice in place is a must to move forward in a privacy-centric way 91% Agree 86% Agree
  • 13. What are the biggest challenges with data sets? Top challenge for analytics teams and marketers Top challenge for analytics teams Lack of Access
  • 14. 25% of the time for Advertisers Challenges Are the right ads being served? What percent of the time is the wrong ad creative is served to the wrong consumer? 30% of the time for Agencies
  • 15. Challenges Is it easy to demonstrate campaign ROI? If I can’t properly show the ROI/ROAS, I could lose my job It’s difficult showing ROI/ROAS on campaigns with more platforms and fewer signals 83% 79%
  • 16. How is data being shared? use API or third-party partner for sharing audience segment data & is more likely used by Advertisers using data standards practices 41% most common method is sharing Excel/Sheets 2nd How audience segment data is shared with media partners
  • 17. What is the Status Quo? Estimated cost impact of fixing manual data entry errors Little to no cost Some cost Significant cost 8 Average number of people needed to fix manual data entry errors within organization 2-3 days Median length of time to fix errors
  • 19. Challenges Massive Disruption to Measurement “Like many other direct-to-consumer marketers, we’re seeing some disruptive impact as our teams adjust to the new data landscape.”
  • 20. How is Privacy Changing the Data Landscape?
  • 21. How is Privacy changing the data landscape? Those with Data Standards are employing privacy-forward practices for data sharing and analysis in greater numbers. They are significantly more likely to be: ● Using data clean rooms ● Relying on APIs to share advertiser segment data and ad creative assets
  • 22. POLL: Do you use Data Clean Rooms?
  • 23. Data Clean Room Usage Advertisers and agencies currently using data standards strategies are significantly more likely to use data clean rooms 66% use data clean rooms 66% of those using data clean rooms agree that clean rooms agree they are the standard for privacy compliant data matching
  • 25. How is AI changing the data landscape? ● ChatGPT – November 30, 2022
  • 26. POLL: Are you using AI tools in some form today?
  • 27. AI & Ad Creative 2 in 5 are currently using AI for ad creative 50% considering using AI for ad creative Confidence in ability to properly tag and track all assets created via AI Not at all Somewhat Very
  • 28. Getting Started Tactics & Best Practices
  • 29. The Four States of Data Standards Maturity Emerging Foundational Advanced Leading No unified campaign planning Teams in silos Limited data clarity Decisions made based on anecdotal results Pockets of strategy Teams beginning to coordinate Basic measurement of campaign results Optimization based on channel-specific results data Executive-led planning on priorities Teams aligned on tracking and taxonomy Consistent tracking tied to strategic goals Decisions made based on uniform analytics Regular, unified, detailed planning across channels and teams Fully automated, governed processes for uniform tracking Detailed tracking tied to strategic goals Decisions made at-scale based on unified, rich analytics
  • 30. What Can I Do to Improve?
  • 31. Challenges The Marketer’s Challenge Assess Your Current Data Standards Tab Tab Tab Tab Tab
  • 32. Don’t Wait for Perfection Implementation Education and Learning Meetings per team/channel Configuration Alignment 1-2 Meetings per team/channel Build 1-2 Weeks Build Review Meetings per Team + independent reviews Launch
  • 33. Collaborate with Teams and Agencies MARKETING & AD OPs CONTENT & CREATIVE ANALYTICS & BI CUSTOMER EXPERIENCE
  • 34. Summary ● Data Standards are essential to keeping pace with the industry ● Advertisers struggle with aligning the right content to the right audience, but often write it off as the cost of business ● Advertisers are not very confident in their ability to tie campaign performance to specific data or creative assets ● Companies aren’t evolving fast enough in the face of industry changes with privacy and AI Implementing data standards practices leads to tangible, positive outcomes 30% Estimated average ROI increase