Chapter 28 — Further Reading

Grouped by the book's three evidence tiers (style bible §7). Tier 1 is documentation and confirmed public record you can stand behind; Tier 2 is attributed industry practice and study, specifics unverified; Tier 3 is this book's constructed material. Prefer primary sources — above all Google's own documentation, which changes, so treat any specific interface detail here as "true at time of writing, verify in the product."

Tier 1 — Verified canonical (start here)

• Google Analytics Help — "[GA4] Analytics events" and the guides to automatically collected, enhanced measurement, recommended, and custom events. The authoritative source for the event model in §28.1.
• Google Analytics Help — "[GA4] Key events" (formerly "Conversions"). Documents the 2024 rename and how to mark, create, and manage key events. Directly underpins §28.5.
• Google Analytics Help — "[GA4] Engaged sessions and engagement rate" and "Average engagement time." The exact definitions used in §28.4 (the >10s / 2+ views / key-event rule; bounce rate as the inverse).
• Google Analytics Help — "[GA4] Traffic acquisition" and "User acquisition" reports, and "Default channel group" definitions. The session- vs. user-scoped distinction central to §28.2.
• Google Analytics Help — attribution and attribution models (data-driven as default; the 2023 retirement of most rules-based models). For §28.6.
• Google Analytics Help — "[GA4] Data thresholds," data retention, and "How Analytics handles IP addresses." The technical basis for the "funnel of loss" in §28.7 (thresholding; no IP storage).
• Google — Consent Mode documentation (Tag/Consent Mode, and the 2024 "Consent Mode v2" requirements for EEA advertising/audience features). For the consent-and-modeling discussion in §28.7.
• Google Analytics — policy on personally identifiable information (PII). The prohibition behind the no-PII rule in §28.5. Non-negotiable reading before configuring form tracking.
• Google Search Central — statements that Google Search does not use Google Analytics data as a ranking signal. The record behind the §28.1 myth-bust (see also Chapter 2's evidence framing).
• Google's 2011 "search encryption" / secure-search announcements (the origin of "(not provided)"). Historical primary source for Case Study 28.1.
• European regulators' public decisions on Google Analytics and GDPR — Austria's DSB (2022), France's CNIL (2022), Italy's Garante (2022) — and the European Commission's EU-US Data Privacy Framework adequacy decision (July 2023). Primary record for Case Study 28.2. (Public rules; not legal advice.)
• Official GDPR text (EU) and California's CCPA/CPRA. For the conceptual regulatory framing in §28.7.

Tier 2 — Attributed, specifics unverified

• Reputable analytics-practitioner references (e.g., long-running GA4 guides from analytics consultancies and educators) for how-to mechanics — building explorations, event-creation rules, and cross-domain setup. Treat interface specifics as time-stamped; verify in the product.
• Industry commentary on the "(not provided)" transition (2011–2014) documenting the expansion from signed-in users to nearly all organic keyword data, and the paid-vs-organic-data controversy. Used directionally in Case Study 28.1; the exact percentage curve is not reproduced.
• noyb (None of Your Business) publications on the Google Analytics complaints and Schrems II. Cited for the reported count of complaints and the campaign's stated position, attributed to the source.
• Antitrust-proceeding disclosures (2023) referencing Google search signals (e.g., "Navboost") that appear to use interaction data. Used only to distinguish Google's own scaled click data from your GA4 engagement metrics (§28.4) — with the weight and mechanism explicitly unknown.
• Consumer-privacy and consent-management surveys on cookie-banner decline rates and ad-blocker prevalence. Cited for the direction (measurement is shrinking), never a specific figure.

Tier 3 — Illustrative / constructed (this book)

• Rivertown Home Services — all figures, the five locations, the conversion setup (Figure 28.2), and the organic landing-page report (Figure 28.1) are a constructed teaching example (frozen facts from _continuity.md §5).
• The illustrative estimated-lead-value math (\~\$450 job × 20% close → \~\$90/request) and the before/after session comparisons — constructed to show method and honest limits, not measured data.

Suggested order

1. Google Analytics Help — the events model and key events (§28.1, §28.5) — the foundation; nothing else makes sense without it.
2. Traffic acquisition + engaged sessions/engagement rate docs (§28.2, §28.4) — how to isolate organic and read its behavior.
3. Case Study 28.1 ("(not provided)") — to internalize why GSC and GA4 are two tools, not one.
4. Attribution models + Consent Mode + data thresholds docs (§28.6, §28.7) — the harder, honesty-heavy material.
5. The PII policy and the GDPR/CCPA + EU-decisions material (§28.7, Case Study 28.2) — before you configure anything that touches real user data.
6. Then forward to Chapter 29 (Reporting) to turn this data into a story, and Chapter 39 to turn it into a dollar figure.