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Analytics & Attribution

Tracking, dashboards, and attribution. From GA4 events to MMM, you'll learn how to measure what matters and why no model is perfectly accurate.

36 lessons·7 Beginner·11 Intermediate·18 Advanced·~4 hr read
Beginner
7 lessons

Start here. No prior knowledge needed.

Intermediate
11 lessons

Build on the fundamentals.

Advanced
18 lessons

Tactics for experienced marketers.

1

Attribution Models

First, last, linear, time-decay, data-driven, and what each lies about.

10 min
2

Attribution Model Deep Dive

Compare every attribution model side by side: where each overstates or understates channel value and when to switch models.

4 min
3

Predictive Analytics

Use historical data to forecast churn, LTV, and campaign performance.

10 min
4

Marketing Mix Modeling

Top-down measurement when bottom-up tracking breaks.

4 min
5

Incrementality Testing

Did the ad actually cause the conversion? The only question that matters.

11 min
6

Server-Side Tracking

Why everyone's moving server-side, and how to do it.

9 min
7

Consent Mode & Privacy

Modeling conversions when users say no to cookies.

5 min
8

Customer Data Platforms (CDPs)

Segment, RudderStack, mParticle: the unified-customer-profile layer.

4 min
9

Data Warehouses for Marketers

BigQuery, Snowflake, Databricks: when marketing graduates from GA to SQL.

4 min
10

Data Clean Rooms

Google Ads Data Hub, Amazon AMC, Meta Advanced Analytics: privacy-safe attribution at scale.

4 min
11

Privacy Sandbox & Post-Cookie Web

Topics API, FLEDGE, Attribution Reporting: Chrome's privacy-first replacement.

4 min
12

Reverse ETL

Warehouse-to-tool sync (Hightouch, Census): the new layer in the modern marketing stack.

5 min
13

Signal-Based Measurement: Attribution in the Cookieless Era

First-party signals, server-side tagging, identity resolution, and the MMM+incrementality+CAPI stack replacing last-click.

6 min
14

Composable CDP: The Warehouse-Native Customer Data Platform

Hightouch, Census, RudderStack: why warehouse-native CDPs are replacing Segment and Salesforce Data Cloud at scale.

5 min
15

Automated Insight Generation: AI That Tells You What Changed and Why

Move beyond dashboards you have to read: learn how AI insight engines detect anomalies, explain root causes, and deliver findings in plain language before you even know to look.

6 min
16

Marketing Data Governance: Quality, Compliance, and Trust in Your Data

How to build policies, processes, and controls that make marketing data accurate, consistent, compliant, and trustworthy at scale.

11 min
17

Building a Single Customer View: Identity Resolution

How deterministic and probabilistic matching stitch fragmented touchpoints into one customer profile, and why the matching method you choose is now a regulatory decision, not just a technical one.

5 min
18

Proving Your Experimentation Program's ROI

A framework for calculating whether the testing program itself, not any single test, earns back its cost.

5 min