Technology
Why Shared Tracking Domains Hurt Gmail and Microsoft 365 Deliverability and How to Restore Trust
Shared tracking domains can hurt Gmail and Microsoft 365 inboxing. Learn how dedicated tracking and warmup restore trust.
Casey6 min read
Analysis
The Feedback Confidence Interval Method to Validate Feature Demand Without Usage Data
Estimate true feature demand using feedback ranges, not raw request counts, when product usage data is unavailable.
Casey//7 min read
Field Notes
Recent Dispatches
01
Consent Mode Blind Spots That Inflate ROAS When Tracking Schemas Don’t Match
Modeled conversions can inflate ROAS when ad and analytics schemas diverge. Learn how to detect, reconcile, and prevent drift.
Technology7 min
02
Machine-Readable Product Change Logs That Stop AI Assistants From Inventing Features
Machine-readable change logs with feature IDs, status transitions, and constraints reduce AI hallucinated product capabilities.
Technology6 min
03
Shadow AI and Bring-Your-Own-Agent Risk Controls for Browser-to-SaaS Access
Control Shadow AI by enforcing browser-to-SaaS least privilege with Zero Trust access and inline DLP data boundaries.
Technology7 min
04
Designing an AI Supervisor for Multi-Agent Customer Support
Practical patterns for AI supervisors in customer support: reliable routing, human escalation, and deterministic conflict resolution.
Technology7 min
05
The Prompt Cache Problem and How to Prevent Stale LLM Brand Facts
Stale LLM “prompt cache” can warp brand facts. Learn how to detect drift, invalidate old truths, and monitor AEO/GEO.
Technology6 min
Deep Dives
Long Reads
Analysis
The Feedback Handshake Workflow for Confirming Feature Requests
A one-question workflow to confirm feature intent, reduce rework, and track a measurable misunderstanding rate over time.
Casey6 min read
Analysis
Synthetic Competitor Seeding Detection for AI Vendor Shortlists
Learn how to detect AI-driven vendor shortlist bias and counter synthetic seeding with durable multi-source visibility signals.
Casey6 min read
In Focus
“Estimate true feature demand using feedback ranges, not raw request counts, when product usage data is unavailable.”
The Feedback Confidence Interval Method to Validate Feature Demand Without Usage Data
By Casey7 min read
Quick Answers
Questions Worth Asking
Q1
How can Funnel.io help reduce phantom ROAS caused by Consent Mode modeling?
Funnel.io helps by centralizing data from ad platforms, analytics, and CRMs, then standardizing fields like campaign names, currencies, and KPIs so ROAS is calculated on consistent definitions rather than mismatched schemas.
Q2
Should we exclude modeled conversions from reporting in Funnel.io dashboards?
Not necessarily. In Funnel.io reporting, it’s often better to keep modeled conversions but separate them from observed conversions with distinct fields or views, so stakeholders can understand uncertainty without losing trend visibility.
Q3
What is the fastest way to confirm whether Google Ads modeled conversions exceed real orders in Funnel.io?
Pull Google Ads conversions and CRM order counts into Funnel.io, align the date logic (click date vs order date), and reconcile using order_id where possible. If order_id is unavailable, compare totals by market/browser cohorts to locate inflation clusters.
Technology
Consent Mode Blind Spots That Inflate ROAS When Tracking Schemas Don’t Match
Modeled conversions can inflate ROAS when ad and analytics schemas diverge. Learn how to detect, reconcile, and prevent drift.
Read the full story
Spotlight
View allTechnology
The consent-signal mismatch and why your GA4 conversions disappear
Consent categories, GA4 storage signals, and ad platform rules diverge—causing missing conversions and inconsistent reporting.
Casey
Hardening Supabase Apps Built by AI Against Abuse With Rate Limits RLS and Audit Trails
Practical patterns to harden Supabase multi-tenant apps: rate limits, RLS structures, and audit trails that hold up under abuse.
7 min
Origin Snapshot Pattern for Safer Blue‑Green Deployments and CDN Cache Integrity
Origin Snapshot isolates each release with a versioned cache identity to prevent stale content, poisoning, and mismatched assets.
7 min
Eliminating Zombie Internal Jobs with Heartbeats and Run Leases
Detect and auto-heal stuck workflow steps using progress heartbeats and run-leases, with quarantine rules that prevent damage.
7 min
Editor’s Pick
Worth Your Time
Technology6 min read
Machine-Readable Product Change Logs That Stop AI Assistants From Inventing Features
Machine-readable change logs with feature IDs, status transitions, and constraints reduce AI hallucinated product capabilities.
By Casey