Turning Marketing Spend into Measurable Growth
Performance Marketing Playbook is a comprehensive, practical guide to building, running, and scaling performance marketing as a disciplined, economics-driven growth engine. It explains how modern performance marketing differs from traditional and brand marketing, grounding every decision in measurability, optimization, and direct connection to the P&L. The book introduces core frameworks covering the full funnel, unit economics, experimentation, and system design, then walks readers through the complete performance marketing lifecycle—from diagnosis and strategy setting to deployment, optimization, and institutionalization.
Designed for real-world application, it provides detailed guidance on audience targeting, channel mix, creative and conversion design, measurement and attribution, experimentation, and the supporting technology and data stack. It also addresses the organizational and operational realities that determine success, including team roles, operating models, governance, risk management, and collaboration with sales, finance, and external partners. The result is a clear, repeatable approach to turning performance marketing from ad-hoc campaign execution into a scalable, resilient engine for profitable growth.
Table of Contents
Chapter 1. The New Discipline of Performance Marketing
1.1 From “Mad Men” to “Math Men”: How Marketing Has Changed
1.2 What Makes Performance Marketing Different from Traditional Marketing
1.3 When Performance Marketing Works Best (and When It Doesn’t)
1.4 Common Myths and Misconceptions About Performance Marketing
Chapter 2. What Is Performance Marketing? (Definitions and Scope)
2.1 Working Definition of Performance Marketing
2.2 Key Characteristics: Measurable, Biddable, and Optimizable
2.3 In-Scope vs. Out-of-Scope Activities
2.4 Performance Marketing vs. Growth Marketing vs. Brand Marketing
2.5 How Performance Marketing Connects to the P&L and Value Creation
Chapter 3. Core Frameworks and Approaches in Performance Marketing
3.1 The Full-Funnel Performance Framework (Awareness to Loyalty)
3.2 Economics First: LTV, CAC, Payback Period, and Incrementality
3.3 The Growth Engine Model: Traffic, Conversion, Frequency, Basket Size
3.4 The Test-and-Learn Loop: Hypothesize, Test, Measure, Scale
3.5 The System View: Strategy, Operating Model, Data, and Technology
Chapter 4. The Performance Marketing Lifecycle
4.1 Diagnose: Understanding the Starting Point
4.2 Design: Setting Objectives, Strategy, and Guardrails
4.3 Deploy: Building and Launching Campaigns
4.4 Optimize: Ongoing Testing, Tuning, and Scaling
4.5 Institutionalize: Embedding Performance Marketing Capabilities
Chapter 5. Objectives, Economics, and Budgeting
5.1 Translating Business Objectives into Performance Marketing Goals
5.2 Building the Economics Model: LTV, CAC, and Unit Economics
5.3 Setting Targets and Guardrails (ROAS, CPA, Margin, Payback)
5.4 Budgeting and Scenario Planning Across Channels
5.5 Governance Around Spend: Daily, Weekly, and Quarterly Routines
Chapter 6. Audience, Segmentation, and Targeting
6.1 From Broad Demographics to Addressable Audiences
6.2 Data-Driven Segmentation for Performance Campaigns
6.3 Prospecting vs. Retargeting vs. CRM / Loyalty Audiences
6.4 Lookalikes, Predictive Scoring, and Custom Audiences
6.5 Privacy, Consent, and the Evolving Targeting Landscape
Chapter 7. Channel Strategy and Mix Design
7.1 Mapping Channels to Customer Journeys and Objectives
7.2 Paid Search, Shopping, and Marketplaces
7.3 Paid Social, Display, Video, and Native
7.4 Affiliate, Influencer, Partnerships, and Referral Programs
7.5 Balancing Brand and Performance Investments Across Channels
Chapter 8. Creative, Offers, and Landing Experiences
8.1 The Role of Creative in Performance Marketing
8.2 Designing Offers: Discounts, Trials, Bundles, and Incentives
8.3 Crafting High-Performing Ad Units (Copy, Visuals, and Formats)
8.4 Landing Page and Funnel Design for Conversion
8.5 Creative and Experience Testing at Scale
Chapter 9. Measurement, Attribution, and Incrementality
9.1 Building a Measurement Framework: What to Measure and Why
9.2 Attribution Models: Last Click, Multi-Touch, Media Mix, and Experimentation
9.3 Measuring Incrementality vs. Merely Correlation
9.4 Navigating Signal Loss: Cookies, IDFA, and Walled Gardens
9.5 Practical Approaches to “Good Enough” Measurement
Chapter 10. Experimentation and Optimization
10.1 Designing a Test Roadmap: What to Test and in What Sequence
10.2 A/B Tests, Multivariate Tests, and Geo-Experiments
10.3 Sample Size, Statistical Significance, and Practical Significance
10.4 Scaling Winners and Killing Losers Quickly
10.5 Building a Culture and Cadence of Continuous Optimization
Chapter 11. Performance Marketing Systems and Tools
11.1 Core Components of the Performance Marketing Tech Stack
11.2 Ad Platforms and Campaign Management Tools
11.3 Customer Data Platforms, DMPs, and Identity Resolution
11.4 Analytics, BI, and Visualization Platforms
11.5 Workflow, Collaboration, and Automation Tools
Chapter 12. Analytics, Reporting, and KPIs
12.1 Defining the KPI Hierarchy: From Board-Level to Channel-Level
12.2 Channel KPIs: CPC, CTR, CPA, ROAS, CPM, and Beyond
12.3 Funnel KPIs: Visit, Lead, Opportunity, Sale, and Retention
12.4 Cohort and LTV Analytics for Performance Marketers
12.5 Reporting Rhythms: Daily Dashboards, Weekly Reviews, Monthly Deep-Dives
Chapter 13. Data Providers and External Data Sources
13.1 Types of Data Used in Performance Marketing (First-, Second-, Third-Party)
13.2 Audience and Identity Data Providers
13.3 Intent, Contextual, and Behavioral Data Providers
13.4 Market, Competitive, and Benchmarking Data Sources
13.5 Evaluating and Managing Data Providers (Commercial and Risk Considerations)
Chapter 14. Operating Model and Roles in a Performance Marketing Team
14.1 The Core Roles: Head of Performance, Channel Leads, and Analysts
14.2 Specialized Roles: CRO Leads, Marketing Engineers, and Marketing Ops
14.3 In-House vs. Hybrid vs. Fully Outsourced Operating Models
14.4 Where Performance Marketing Sits Within the Broader Marketing Organization
14.5 Interfaces with Sales, Product, Finance, and IT
Chapter 15. Governance, Risk, and Compliance in Performance Marketing
15.1 Brand Safety and Content Governance
15.2 Data Privacy, Consent Management, and Regulatory Compliance
15.3 Financial Controls: Preventing Waste, Fraud, and Over-Spend
15.4 Vendor and Platform Risk Management
15.5 Escalation Protocols and “Red Flag” Indicators
Chapter 16. Scaling and Transforming Performance Marketing
16.1 Moving from “Heroic Effort” to Repeatable Engine
16.2 Building Capabilities: Skills, Processes, and Playbooks
16.3 Managing Change Across the Organization
16.4 Integrating Performance and Brand for Long-Term Equity
16.5 Setting a Three-Year Performance Marketing Ambition
Chapter 17. Diagnostics, Quick Wins, and 90-Day Roadmaps
17.1 Conducting a Rapid Performance Marketing Diagnostic
17.2 Identifying Quick Wins vs. Structural Fixes
17.3 Prioritizing Initiatives and Building a 90-Day Plan
17.4 Communicating Early Results to Build Sponsorship
17.5 Avoiding Common Failure Modes in Performance Turnarounds
Chapter 18. Working with External Partners and Advisors
18.1 Types of External Partners: Agencies, Consultancies, and Specialists
18.2 Working with Performance Marketing Agencies (Pros, Cons, and Best Practices)
18.3 Engaging Large Consulting Firms for Strategy, Operating Model, and Transformation
18.4 When and How to Use Independent Performance Consultants (e.g., via Umbrex)
18.5 Structuring Engagements, Incentives, and Governance with External Partners