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Building a Quality-Centric Business Architecture
Philosophy for
Excellence
Core of Business Architecture
The Creative &
Collaboration
? Media Delivery Planning
? User level modeling
? Efficient spending of
media budgets
? Continuous testing and
feedback loops
? Better understanding
metrics
While creating campaigns -
Collaboration between
teams (Dev, QA, Ops).
High transaction volumes
and real-time processing.
Ensuring compliance with
privacy regulations
(GDPR, CCPA).
Tackling - Unique
Challenges
Complexity of integrations
(DSPs, SSPs, ad
exchanges).
Quality Controls
Importance of data
accuracy for targeting
and reporting
Built-in validation
mechanisms for incoming
and outgoing data.
Ad Fraud Prevention -
detect and mitigate
fraudulent traffic.
? Person level ID
? Clear,
Comprehensive
Customer view
Future-Proofing with
Customer Identity
? Go Beyond Basic
Personalization
? Build a Data capture
strategy
Layering Data Assets:
Data Alignment &
Activation Planning ? Instant
Personalization
? Building capabilities
for personalized
marketing
Designing
Personalized
Customer Content
? Analyze
Engagement
? “Always On” cycle
for learning &
adaptation
Taste Testing for
Continuous
Improvement
"Future-Proofing Customer Engagement with Personalization"
ANIn Bengaluru Dec 2024 | Building a Quality-Centric Business Architecture: Philosophy for Excellence by Nisha Kesavan
ANIn Bengaluru Dec 2024 | Building a Quality-Centric Business Architecture: Philosophy for Excellence by Nisha Kesavan
Metrics
1. Real-Time Engagement Metrics
? Click-Through Rate (CTR)
? Engagement Rate
? Session Duration
? Response Rate (Email/SMS)
2. Personalization Effectiveness Metrics
? Conversion Rate
? Offer Uptake Rate
? Bounce Rate
? Content Engagement Metrics
3. Customer Journey Metrics
? Cross-Channel Engagement
? Customer Retention Rate
? Repeat Interaction Rate
? Journey Completion Rate
4. Customer Sentiment & Loyalty Metrics
? Net Promoter Score (NPS)
? Customer Satisfaction Score (CSAT)
? Churn Rate
? Customer Lifetime Value (CLV)
5. Data Quality & Capture Metrics
? Data Capture Rate
? Preference Center Usage
? First-Party Data Accuracy
6. Continuous Improvement Metrics
? A/B Testing Results
? Test Iteration Success Rate
? Time-to-Engagement
Customer Journey Optimization
Key Elements of Customer Journey Optimization
Identifying
Pivotal
Interaction
Points
Fine-Tuning
Onsite
Elements
Deploying
Customized
Strategies
Boosting
Conversions
and
Retaining
Customers
Uncovering
Advanced
Audience
Analytics
ANIn Bengaluru Dec 2024 | Building a Quality-Centric Business Architecture: Philosophy for Excellence by Nisha Kesavan
CJO: Developing The Lead Capture Strategy
? Step 1:
Session 1: New user arrives on the site
We display a Lead Capture Entry Double Overlay with a “Welcome to UK
Radiators” message.
? Step 2:
Rich user pro?les & customized email strategy
Customize the user experience by collecting their shopping needs.
? Step 3:
Persistent ?oating button reminder
While browsing, the user is presented with the 10% o? o?er and has the
opportunity to take advantage of the o?er at any point of the journey.
? Step 4:
Secondary Opt in
Users now have another chance to sign up and receive the 10% o? o?er after they
have browsed and found an item they like.
? Step 5:
Session 2: Returning user arrives on the site
Returning users who did not utilize the 10% o? o?er or purchase in their previous
DSP – Demand Side Platform
Key Factors to Choosing a DSP
1. Essential Features
o Audience Targeting: Target users by demographics, behavior, devices, etc.
? Example: An outdoor gear brand targets users who frequently visit hiking blogs.
o Bidding & Budgeting: Models like CPM, CPC, and lifetime budgets optimize spending.
o Real-Time Analytics: Adjust campaigns instantly based on live performance metrics.
2. Performance and Scalability
o Scalability: Supports small or large campaigns seamlessly.
? Example: Expanding campaigns to new regions without performance drops.
o Reliability: Uptime, fast bidding, and execution ensure ads reach the audience
effectively.
3. Cost and Pricing Structures
o Transparency: Avoid hidden fees.
o Value for Money: Higher-priced platforms often offer superior features like advanced
targeting and real-time reporting.
? Example: Paying more for detailed audience insights can significantly improve ROI.
ANIn Bengaluru Dec 2024 | Building a Quality-Centric Business Architecture: Philosophy for Excellence by Nisha Kesavan
Here’s one of the success stories of my team…
ANIn Bengaluru Dec 2024 | Building a Quality-Centric Business Architecture: Philosophy for Excellence by Nisha Kesavan

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ANIn Bengaluru Dec 2024 | Building a Quality-Centric Business Architecture: Philosophy for Excellence by Nisha Kesavan

  • 1. Building a Quality-Centric Business Architecture Philosophy for Excellence
  • 2. Core of Business Architecture The Creative & Collaboration ? Media Delivery Planning ? User level modeling ? Efficient spending of media budgets ? Continuous testing and feedback loops ? Better understanding metrics While creating campaigns - Collaboration between teams (Dev, QA, Ops). High transaction volumes and real-time processing. Ensuring compliance with privacy regulations (GDPR, CCPA). Tackling - Unique Challenges Complexity of integrations (DSPs, SSPs, ad exchanges). Quality Controls Importance of data accuracy for targeting and reporting Built-in validation mechanisms for incoming and outgoing data. Ad Fraud Prevention - detect and mitigate fraudulent traffic.
  • 3. ? Person level ID ? Clear, Comprehensive Customer view Future-Proofing with Customer Identity ? Go Beyond Basic Personalization ? Build a Data capture strategy Layering Data Assets: Data Alignment & Activation Planning ? Instant Personalization ? Building capabilities for personalized marketing Designing Personalized Customer Content ? Analyze Engagement ? “Always On” cycle for learning & adaptation Taste Testing for Continuous Improvement "Future-Proofing Customer Engagement with Personalization"
  • 7. 1. Real-Time Engagement Metrics ? Click-Through Rate (CTR) ? Engagement Rate ? Session Duration ? Response Rate (Email/SMS) 2. Personalization Effectiveness Metrics ? Conversion Rate ? Offer Uptake Rate ? Bounce Rate ? Content Engagement Metrics 3. Customer Journey Metrics ? Cross-Channel Engagement ? Customer Retention Rate ? Repeat Interaction Rate ? Journey Completion Rate 4. Customer Sentiment & Loyalty Metrics ? Net Promoter Score (NPS) ? Customer Satisfaction Score (CSAT) ? Churn Rate ? Customer Lifetime Value (CLV) 5. Data Quality & Capture Metrics ? Data Capture Rate ? Preference Center Usage ? First-Party Data Accuracy 6. Continuous Improvement Metrics ? A/B Testing Results ? Test Iteration Success Rate ? Time-to-Engagement
  • 9. Key Elements of Customer Journey Optimization Identifying Pivotal Interaction Points Fine-Tuning Onsite Elements Deploying Customized Strategies Boosting Conversions and Retaining Customers Uncovering Advanced Audience Analytics
  • 11. CJO: Developing The Lead Capture Strategy ? Step 1: Session 1: New user arrives on the site We display a Lead Capture Entry Double Overlay with a “Welcome to UK Radiators” message. ? Step 2: Rich user pro?les & customized email strategy Customize the user experience by collecting their shopping needs. ? Step 3: Persistent ?oating button reminder While browsing, the user is presented with the 10% o? o?er and has the opportunity to take advantage of the o?er at any point of the journey. ? Step 4: Secondary Opt in Users now have another chance to sign up and receive the 10% o? o?er after they have browsed and found an item they like. ? Step 5: Session 2: Returning user arrives on the site Returning users who did not utilize the 10% o? o?er or purchase in their previous
  • 12. DSP – Demand Side Platform
  • 13. Key Factors to Choosing a DSP 1. Essential Features o Audience Targeting: Target users by demographics, behavior, devices, etc. ? Example: An outdoor gear brand targets users who frequently visit hiking blogs. o Bidding & Budgeting: Models like CPM, CPC, and lifetime budgets optimize spending. o Real-Time Analytics: Adjust campaigns instantly based on live performance metrics. 2. Performance and Scalability o Scalability: Supports small or large campaigns seamlessly. ? Example: Expanding campaigns to new regions without performance drops. o Reliability: Uptime, fast bidding, and execution ensure ads reach the audience effectively. 3. Cost and Pricing Structures o Transparency: Avoid hidden fees. o Value for Money: Higher-priced platforms often offer superior features like advanced targeting and real-time reporting. ? Example: Paying more for detailed audience insights can significantly improve ROI.
  • 15. Here’s one of the success stories of my team…