Guides
Decision frameworks and measurement workflows for improving marketing data quality.
What Is Ad Attribution?
Ad attribution is the process of assigning conversion credit to marketing touchpoints so teams can understand which interactions contributed to an outcome.
Phase 3How Does Ad Attribution Work?
A practical explanation of how identifiers, events, conversion data and attribution rules combine into marketing reports.
Phase 3Marketing Attribution Models Explained
A guide to first-click, last-click, linear, position-based, time-decay and data-driven attribution concepts.
Phase 3First-Click vs Last-Click Attribution
Compare first-click and last-click attribution, what each model emphasizes and why neither tells the whole customer-journey story.
Phase 3Multi-Touch Attribution Explained
Understand multi-touch attribution, its major approaches, data requirements and practical limitations.
Phase 3Marketing Mix Modeling vs Multi-Touch Attribution
Compare MMM and MTA by data level, time horizon, granularity and the business questions each method is better suited to answer.
Phase 3Incrementality vs Attribution
Learn why attribution asks who gets credit while incrementality asks what would have happened without the marketing intervention.
Phase 3Deterministic vs Probabilistic Attribution
Compare known-identifier matching with modeled or probabilistic approaches to connecting marketing activity with conversions.
Phase 3Cross-Channel Attribution Explained
Understand how cross-channel attribution tries to reconcile customer journeys that span paid social, search, email and other touchpoints.
Phase 4Server-Side Tracking Explained
Understand server-side tracking, where it sits in a measurement stack and how it differs from relying only on browser-side scripts.
Phase 4Server-Side vs Client-Side Tracking
Compare browser-side and server-side tracking by data flow, control, implementation complexity and measurement resilience.
Phase 4First-Party Data & Ad Tracking
A practical guide to using first-party customer and event data to improve measurement without treating it as a magic replacement for attribution.
Phase 4What Is Conversion Tracking?
Conversion tracking records meaningful outcomes such as purchases, leads, demos or subscriptions and connects them to marketing activity.
Phase 4What Is Meta Conversions API (CAPI)?
Understand Meta Conversions API at a conceptual level, including server-sent events, event matching and its role alongside browser signals.
Phase 4Meta Pixel vs Conversions API
Compare Meta Pixel and Conversions API, why many implementations use both, and where duplication or event-quality problems can appear.
Phase 4Google Enhanced Conversions Explained
Understand the purpose of Google Enhanced Conversions and how first-party conversion data can improve measurement and matching.
Phase 4UTM Parameters: Complete Guide
Use UTM parameters consistently to label campaign traffic, improve analytics hygiene and reduce reporting ambiguity.
Phase 4Cross-Device Tracking Explained
Understand why cross-device journeys are difficult to connect and the roles of authenticated identity, first-party data and modeling.
Phase 4Why Meta & Google Attribution Numbers Don't Match
Learn why Meta and Google can each report different conversion totals for the same business and how to reconcile the discrepancy.
Phase 4Why GA4 and Ad Platform Revenue Don't Match
Understand why GA4 revenue and ad-platform revenue often differ because of identity, attribution logic, time zones, event setup and reporting scope.
Phase 4How to Measure ROAS Across Multiple Ad Platforms
Build a practical cross-platform ROAS measurement workflow that separates spend, attributed revenue and business-level profitability.
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