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Beginner4-6天13 lessons

Meta Ads Basics

从商务资产、Pixel、Conversions API、事件、目标、账户结构、受众、创意、预算、目录广告、审核合规、限制恢复、服务端治理到归因对账,系统建立独立站 Meta 广告基础。

Quick Answers

TL;DR: This series is step-based; follow in order and complete each practical lesson.

Q: Should I follow the order?A: Yes, later lessons often depend on earlier concepts.

Course Outline

Course Outline

Follow the sequence and complete each lesson’s matching setup or review task.

13 lessons
1
Lesson 118分钟

Meta Ads Account and Asset Map: Build the Foundation First

This lesson helps you: Map Business Portfolio, ad account, Page, Instagram, Pixel, dataset, catalog, and permissions before campaign setup creates avoidable account risk.

Start here if you're new to this series. Then read: "Pixel and Conversions API: Help Meta See Real Conversions".

2
Lesson 218分钟

Pixel and Conversions API: Help Meta See Real Conversions

This lesson helps you: Understand Pixel, Conversions API, datasets, event match quality, and deduplication so conversion data is more reliable than browser tracking alone.

Best after "Meta Ads Account and Asset Map: Build the Foundation First". Then continue with "Ecommerce Event Taxonomy and QA: Do Not Train Meta on Bad Signals".

3
Lesson 318分钟

Ecommerce Event Taxonomy and QA: Do Not Train Meta on Bad Signals

This lesson helps you: Define ViewContent, AddToCart, InitiateCheckout, Purchase, value, and currency rules, then QA duplicates, missing events, wrong values, and wrong currency.

Best after "Pixel and Conversions API: Help Meta See Real Conversions". Then continue with "Meta Campaign Objectives for Ecommerce: Do Not Mix Sales, Leads, and Traffic".

4
Lesson 418分钟

Meta Campaign Objectives for Ecommerce: Do Not Mix Sales, Leads, and Traffic

This lesson helps you: Choose campaign objectives from the business goal, and understand when Sales, Leads, Traffic, or Messages fits instead of optimizing for cheap clicks.

Best after "Ecommerce Event Taxonomy and QA: Do Not Train Meta on Bad Signals". Then continue with "Campaign, Ad Set, and Ad Structure: Reduce Learning Noise with Simpler Accounts".

5
Lesson 518分钟

Campaign, Ad Set, and Ad Structure: Reduce Learning Noise with Simpler Accounts

This lesson helps you: Understand the roles of campaigns, ad sets, and ads, then create a simple testing, scaling, and remarketing structure for new ecommerce accounts.

Best after "Meta Campaign Objectives for Ecommerce: Do Not Mix Sales, Leads, and Traffic". Then continue with "Meta Audience Strategy: Broad, Lookalike, Warm Audiences, and Exclusions".

6
Lesson 618分钟

Meta Audience Strategy: Broad, Lookalike, Warm Audiences, and Exclusions

This lesson helps you: Use a simple audience framework for broad prospecting, lookalikes, warm remarketing, and exclusions without over-stacking interests or narrowing too early.

Best after "Campaign, Ad Set, and Ad Structure: Reduce Learning Noise with Simpler Accounts". Then continue with "Meta Creative Testing System: Find Scalable Signals with Creative Variables".

7
Lesson 718分钟

Meta Creative Testing System: Find Scalable Signals with Creative Variables

This lesson helps you: Build creative hypotheses, variable separation, testing cadence, and kill rules so creative testing is not just uploading random assets and waiting.

Best after "Meta Audience Strategy: Broad, Lookalike, Warm Audiences, and Exclusions". Then continue with "Budget, Learning Phase, and Scaling: Do Not Interrupt Learning with Constant Edits".

8
Lesson 818分钟

Budget, Learning Phase, and Scaling: Do Not Interrupt Learning with Constant Edits

This lesson helps you: Understand budget setup, delivery learning, Learning Limited, edit magnitude, and scaling rhythm so early data does not trigger constant disruptive changes.

Best after "Meta Creative Testing System: Find Scalable Signals with Creative Variables". Then continue with "Catalogs, Product Sets, and Advantage+ Sales: Turn Product Data into Ad Assets".

9
Lesson 918分钟

Catalogs, Product Sets, and Advantage+ Sales: Turn Product Data into Ad Assets

This lesson helps you: Build catalog, product set, and dynamic ad foundations, then understand where Advantage+ sales campaigns fit and when manual structure still matters.

Best after "Budget, Learning Phase, and Scaling: Do Not Interrupt Learning with Constant Edits". Then continue with "Attribution, Reporting, and Reconciliation: Why Meta, GA4, and Shopify Differ".

10
Lesson 1018分钟

Attribution, Reporting, and Reconciliation: Why Meta, GA4, and Shopify Differ

This lesson helps you: Understand Meta attribution windows, platform reports, GA4 session logic, and Shopify order records so ad reconciliation becomes operational.

Best after "Catalogs, Product Sets, and Advantage+ Sales: Turn Product Data into Ad Assets". Then continue with "Meta Policy Review and Creative Compliance".

11
Lesson 1145分钟

Meta Policy Review and Creative Compliance

This lesson helps you: Learn how Meta ad review, creative risk, landing-page consistency, and policy boundaries affect approval and long-term account stability.

Best after "Attribution, Reporting, and Reconciliation: Why Meta, GA4, and Shopify Differ". Then continue with "Meta Account Restriction and Recovery".

12
Lesson 1245分钟

Meta Account Restriction and Recovery

This lesson helps you: Learn how to diagnose Meta account restrictions across ad accounts, BM assets, pages, and billing, then recover with a more stable post-recovery workflow.

Best after "Meta Policy Review and Creative Compliance". Then continue with "Advanced CAPI and Server-Side Governance".

13
Lesson 1345分钟

Advanced CAPI and Server-Side Governance

This lesson helps you: Go beyond basic Pixel plus CAPI setup into deduplication, event governance, parameter quality, and long-term server-side signal reliability.

Best used as the closing lesson after "Meta Account Restriction and Recovery".

After completing this series you will master

A systematic cross-border ecommerce knowledge system

Complete Knowledge System

Systematic learning, step by step

Practical Skills

Real cases, apply immediately

Actionable Plans

Clear path, execute directly

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