Interactive Textbook Module Syllabus

Secondary Research & Secondary Data

Internal and external secondary data sources, government and syndicated data providers, digital trace data, evaluating source quality, and using GenAI for secondary research.

⏱️ ~40 min reading & interactives 📑 8 sections 🎓 Level: Intro / no prerequisites 📐 Math: No math 📚 Courses: Marketing Research Methods 🏷️ Topics: Secondary data

Chapter Section Outline (8 Sections)

Topics and managerial frameworks covered in Secondary Research & Secondary Data:

1. Why Reinvent the Wheel?
2. Internal Secondary Data — Your Organization's Hidden Gold Mine
3. Government & Public Data Sources
4. Syndicated & Commercial Data
5. Academic & Industry Association Sources
6. Digital Trace Data & Web Scraping
7. Evaluating Secondary Data Quality
8. Case Application — BrewRight Coffee Market Entry

Interactive Concept Mini-Widgets Embedded in This Chapter (4)

Students manipulate these interactive visual simulations directly inside the chapter reading before answering gated check-in questions:

Crack the Case

One real business case ("Should our cold-brew brand expand into Brazil? ").

Source Quality Evaluator

Rate a secondary data source on the CARS framework (Credibility, Accuracy, Reasonableness, Support), get a composite score and interpretation.

Trace the Stat

A bold marketing statistic sits in a slick "report" card. The student clicks "Where did this come from?

Teaches: confident-looking stats often have no solid origin — or a circular or fabricated one — and you only find out by TRACING it yourself. "Interesting != true."

Secondary Data Matcher

Given a research question, match it to the best secondary data source type(s).