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Analytics and Automation

Resources on Analytics and Automation within Marketing

Overview

Welcome to the Analytics and Automation subcategory of Marketing. This subcategory focuses on specific aspects of marketing related to analytics and automation.

Overview

This section provides in-depth resources about Analytics and Automation. You’ll find a variety of materials suitable for different experience levels and learning styles.

Resources

Explore the sections below to find specific resources on various topics within Analytics and Automation. Each section contains carefully selected materials to help you learn and advance your knowledge.

Curated Resources (19)

Tools (4)

  • Google Analytics analytics.google.comfreemium

    Web and app analytics service tracking user traffic, conversions, and behavioral metrics across digital properties.

  • Matomo matomo.orgfreemium

    Open-source, privacy-focused web analytics platform providing complete data ownership and cookieless tracking options.

  • PostHog posthog.comfreemium

    Open-source product analytics suite providing event tracking, session replay, feature flags, and A/B testing.

  • Mautic mautic.orgfree

    Open-source marketing automation platform enabling automated email campaigns, lead nurturing, and cross-channel tracking.

Databases (3)

  • Kaggle Marketing Datasets kaggle.comfree

    Public repository of real-world marketing analytics datasets, customer segmentation benchmarks, and conversion campaign logs.

  • Statista statista.comfreemium

    Global data and business intelligence platform aggregating marketing metrics, digital advertising spend, and consumer behavior statistics.

  • Our World in Data ourworldindata.orgfree

    Open-access scientific publication and database providing research on global digital technology adoption, internet usage, and communication metrics.

Learn (3)

  • Google Analytics Academy on Skillshop skillshop.withgoogle.comfree

    Official educational training portal offering self-paced coursework and certification for Google Analytics 4.

  • CXL cxl.compaid

    Specialized training institute offering peer-reviewed courses on digital analytics, customer data platforms, and conversion rate optimization.

  • OpenLearn Marketing Communications open.edufree

    Free university-level courses covering marketing metrics, customer relationship systems, and campaign performance measurement.

Publications (3)

  • Marketing Science pubsonline.informs.orgpaid

    Premier academic journal publishing quantitative research, econometrics, and data science methodologies applied to marketing.

  • Journal of Marketing Analytics springer.compaid

    Peer-reviewed journal dedicated to practical applications of predictive modeling, big data analytics, and customer intelligence.

  • Journal of Interactive Marketing journals.sagepub.compaid

    Scholarly journal exploring interactive technologies, digital channel attribution, and data-driven marketing systems.

Blogs and sites (3)

  • Occam's Razor by Avinash Kaushik kaushik.netfree

    Influential blog by analytics pioneer Avinash Kaushik providing frameworks and strategic thinking on web analytics and data storytelling.

  • Simo Ahava's Blog simoahava.comfree

    Authoritative technical blog focusing on Google Tag Manager, Google Analytics, server-side tracking, and web analytics implementation.

  • Chief Marketing Technologist chiefmartec.comfree

    Industry-standard blog by Scott Brinker analyzing marketing technology (MarTech) stacks, integration trends, and marketing automation landscapes.

Events and conferences (3)

  • MeasureCamp measurecamp.orgfree

    Global series of free, decentralized unconferences for practitioners in digital analytics, tracking, and conversion optimization.

  • Marketing Analytics Summit marketinganalyticssummit.compaid

    Established annual conference focusing on digital analytics, marketing data architecture, and predictive analytics strategies.

  • Superweek superweek.hupaid

    Annual international gathering of digital marketing analysts, data scientists, and attribution thought leaders.

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