All posts
All 173 posts of The Data Driven Marketer in one place, grouped by topic and newest first.
Measurement & attribution
- Marketing efficiency ratio (MER) vs ROAS: when each one lies
- Incrementality testing without a data science team
- Why track conversion rates? Unlock campaign success
- Marketing mix modeling: A complete guide for analysts
- Why leverage marketing frameworks for measurable results
- Integrated Marketing Best Practices to Optimize Performance
- Top marketing frameworks to power data-driven strategies
- Attribution modeling step by step: from GA4 setup to Shapley
- What is digital marketing maturity? A data-driven guide
- Marketing strategies built on data: AI, retention and attribution
- How analytics drives smarter marketing decisions
- Cross channel attribution: unlocking true marketing impact
- Digital marketing optimization: journeys, prediction, attribution
- Statistics in marketing: core methods and the pitfalls to avoid
- Customer behavior analysis: methods, uses and ethical limits
- Essential content marketing metrics list for optimization
- Marketing analytics best practices: attribution and data quality
- Marketing performance metrics and how to layer MTA with MMM
- Advanced marketing analytics: how it differs from basic reporting
- Data driven decision making process: guide for marketers
- Advanced marketing metrics start with data quality controls
- Marketing performance analytics: KPIs, attribution and dashboards
- Digital marketing measurement: models, limits and misconceptions
- What Is Campaign Measurement and Why It Matters
- Converged media: how paid, owned and earned work as one system
- Role of Data in Customer Experience Success
- Beyond Points: The Modern Playbook for Loyalty in Marketing
- Marketing Measurement Accuracy Guide for Reliable ROI
- How to build a marketing measurement framework with MMM and MTA
- A Practical Guide to Adobe Analytics Attribution Models
- Mastering mapping customer experience: From Data to Action
- How to reduce customer acquisition cost: fix data, then channels
- ROAS calculation: formula, break-even calculator and checks
- Marketing attribution: what it measures and how the models differ
- Marketing mix modeling: adstock, seasonality, diminishing returns
- Client experience metrics: what to track and what to ignore
- Boost Your b2b tech marketing with a Cutting-Edge Playbook
- A Modern Guide to the Marketing Planning Process
- CX optimization starts with metrics and data you can trust
- Unlock data driven marketing insights to boost ROI
- Data-driven marketing examples from Netflix, Spotify and Amazon
- Data-Driven B2B Customer Journey Mapping
- B2B demand generation: from lead chasing to revenue creation
- How to Measure Customer Lifetime Value for Real-World Growth
- How to improve marketing ROI, starting with how you measure it
- Multi-touch attribution: how it works and when to trust it
- How to evaluate attribution platforms with a weighted scorecard
- B2B marketing analytics: track pipeline, not vanity metrics
- B2B marketing analytics: the metrics and tools behind decisions
- User Segmentation: A Key to Personalized Marketing
- Mastering Content Marketing Analytics
- How to structure and hire a marketing analytics team
- Programmatic advertising: how it works, benefits and challenges
- Best Practices for Unified Marketing Measurement
- Crafting a Robust Measurement Plan for Marketing Success
- Digital customer journey mapping that changes decisions
- Marketing mix modeling and incrementality, with Jim Janoglio
- Data literacy for marketers: Jordan Morrow's levels of analytics
- What a marketing data scientist does and why teams need one
- The Ultimate Guide to Unified Marketing Measurement
- Digital marketing KPIs illustrated by Airbnb, Dropbox and HubSpot
- What a marketing data analyst does in a modern marketing team
- Marketing measurement frameworks compared, from MMM to AARRR
Marketing data stack
- CDP vs data warehouse: which job each one does for marketing
- Composable CDP: when it beats a packaged one and how to choose
- Customer engagement workflow guide: streamline and optimize
- Marketing process optimization guide for higher ROI
- How to implement a technology-driven marketing framework
- When a data lake helps marketing analytics, and when it doesn't
- Marketing data enrichment: how it works and when it pays off
- Real time marketing insights process: 5 steps to win
- Why marketing integration matters for data accuracy and results
- Elevate marketing performance with customer data platforms
- How to integrate marketing platforms for accurate data
- Marketing data sources: how to judge accuracy and freshness
- Master martech platforms to drive marketing success
- Marketing operations: core functions, governance and ROI impact
- How to design, run and scale a marketing technology workflow
- 6 Types of Customer Data Every Marketer Must Know
- What Is Event Driven Architecture Explained for Marketers
- Streaming data platforms: architecture and marketing use cases
- Marketing control plane examples: Segment, mParticle, RudderStack
- What a marketing control plane is and the components it includes
- Martech stack: the five layers and how to choose each tool
- What Is Reverse ETL a Marketer’s Guide to Data Activation
- Mastering Marketing Funnel Automation A Practical Guide
- CDP architecture: ingestion, identity resolution and activation
- Integrating marketing automation: architecture and schema mapping
- Marketing automation: fewer manual steps, better lead nurturing
- Customer intelligence platforms: how they turn data into action
- A Guide to Marketing Technology Companies and Stacks
- A Practical Guide to Building Your Marketing Data Strategy
- The Data Enterprise Architect Your Modern Marketing Guide
- Your Guide to Building a Data Driven Marketing Platform
- What a data clean room is and when it is worth the effort
- A Practitioner’s Guide to Marketing Data Integration
- Data management for analytics: the components marketers need
- Marketing data platforms: build vs buy and architecture patterns
- How martech acquisitions are reshaping marketing data platforms
- Unlocking Marketing Insights with Talend Data Integration
- Building the Perfect Martech Stack: A Comprehensive Guide
- What marketing operations does and the challenges it faces
- Data and analytics trends through 2028: fabric, AI and governance
- Gartner's data and analytics predictions through 2028, summarized
Data quality & governance
- Auditing analytics without manual test plans: four approaches
- GA4 audit checklist: what to check and how to verify it
- Data observability for marketing: what to monitor and who owns it
- Maximize marketing impact: the role of metadata explained
- Your Guide to Data Integrity Solutions for Marketing Stacks
- A Practical Guide to Marketing Observability
- Marketing data quality: find where bad data comes from and fix it
- Data quality metrics for marketing, with how to calculate each
- A data governance framework template for marketing teams
- Marketing data governance best practices, from RACI to lineage
- GA4 audit and error-detection tools, grouped by the job they do
- What a solution design document (SDD) is and how to write one
- Digital analytics QA in Europe: how the main vendors compare
- Data observability tools: key features and how to implement them
- Introduction to data quality management tools
- Data Integrity in Marketing: Building a Solid Foundation
- Review of Designing Effective Event Data Systems
- How to Implement Observability in Marketing Campaigns
- How to debug analytics problems, from tracking code to fixes
- Navigating the Data Crisis: A Marketing Leader’s Perspective
- Quality data systems in marketing: components and challenges
- Navigating Data Debt: A Guide for Marketing Teams
- The QA process in data analytics: steps and best practices
- Navigating the Challenges of Marketing Data Quality
- Data observability for marketing, and where Trackingplan fits
- Mastering Marketing Data Quality with Expert Insights
Analytics tools
- Google Ads automation tools: native features before third party
- Marketing agency reporting tools: choose by where data lives
- Meta Ads automation tools: what Advantage+ leaves to others
- PPC automation tools: what to buy once the platforms bid for you
- Adobe Analytics vs Google Analytics: which fits your team
- Google Analytics 4 alternatives: how to choose by the job
- Business intelligence for marketing: methods, value and limits
- Unified marketing dashboards: how they work and where data breaks
- Types of digital marketing tools and how to choose between them
- Marketing Data Visualization: Driving Smarter Decisions
- What Is Behavioral Analytics And How Can It Help You Grow?
- A Guide to Request for Proposals Marketing
- Gartner and Forrester Research Which Analyst Firm to Trust
- Marketing analytics tools compared by use case and implementation
- How to choose a marketing automation platform for your team
- Digital Marketing Analyst: Adapting to New Analytical Tools
- Salesforce and Tableau's State of Data and Analytics, summarized
- Product analytics tools: why qualitative insight now matters
AI in marketing
- Machine learning in marketing: where it helps and where it fails
- Predictive analytics: boost marketing ROI with data
- Digital marketing trends for 2026: agentic AI, GEO and zero-click
- How to adopt AI in marketing: integration, budget and team roles
- Leveraging Automated Marketing Signals for Smarter Campaigns
- Natural language processing for marketers: what to build first
- Marketing data analysis: predictive models, sentiment, A/B tests
- AI tools for digital marketing by use case and business size
- Prescriptive Analytics: Driving Decisions with Data
- AI Revolutionizing Digital Marketing Strategies
- Harnessing Data Science for Enhanced Marketing Analytics
- Effective Use of Predictive Analytics for Targeted Campaigns
Tracking & consent
- PII leaks in marketing tags: how to find them, and with what
- What consent mode v2 requires and how to verify it works
- How to set up the Meta Conversions API without losing signal
- What Is First Party Data and How to Use It for Growth
- UTM parameter best practices: naming, validation and governance
- Zero-party data: what it is and how to collect it fairly
- Server-side tracking: what it fixes and what it doesn't
- Google Tag Manager audit: what to check and how to keep it clean
- The 5 Best URL Builder Tools for Successful Campaigns
- How to inspect the browser data layer and keep it reliable
- GA4 key events: how to set them up and where they fall short
- Analytics without third-party cookies: what marketers change