AMC · Advanced
Advanced AMC Modeling Guides
Advanced Amazon Marketing Cloud modeling for teams past the basics — custom attribution models, customer-lifetime-value cohorts, optimal frequency capping, and cross-channel overlap. The data-source decisions that determine whether the model is right before the SQL is even written.
Explore the product8 guides in this group
Validate AMC SQL in the Sandbox First
Validate AMC SQL syntax, joins, and output shape in the sandbox before confirming real identifiers and runtime on a short production window.
Fix AMC SQL Query Performance Before Timeout
Fix slow AMC SQL with early filters, smaller CTEs, safer joins, correct random sampling, and a staged timeout recovery test.
Your First AMC Queries: Tables, Filters, Dates
Every AMC query starts with four decisions: which table, which campaign identifier, which ad product type, and which date window. Get those right.
AMC SQL: Where It Stops Behaving Like SQL
AMC SQL rejects SELECT *, ORDER BY and LIMIT, and drops rows describing fewer than 100 users. Here is what the agent checks before writing one.
Find Your Optimal DSP Frequency Cap in AMC
Find your optimal Amazon DSP frequency cap in AMC: bucket impressions and conversions, then cap where cumulative cost outruns cumulative return.
Choose the Right AMC Attribution Source
Choose the right Amazon Marketing Cloud attribution source before custom modeling, audience building, or reconciling results with standard reports.
Segment AMC Customers by CLTV
Build AMC CLTV segments with the four-segment taxonomy, the correct audience table variant, and a cohort migration diagnostic you can re-run.
Turn AMC Workflows into Agent Skills
Package repeatable AMC analysis into agent Skills with Atlas retrieval, sufficiency checks, human approval, and run logging already built in.