Edge Content Intelligence: Cache-first contextual enrichment for ads, analytics, and personalization

[esteininger]

Hey everyone 👋

Built something on Workers that might be useful for teams dealing with client-side JS sprawl for content enrichment.

The Problem

Many sites run multiple client-side scripts for:

• Ad targeting (GAM, Prebid)
• • Analytics enrichment (GA4)
• • Personalization engines
    Each one re-analyzes the same page content. Latency adds up. Privacy gets messy.

The Solution: Edge Content Intelligence

A cache-first Worker that:

1. Analyzes page content once
2. 2. Caches the profile in KV
3. 3. Serves the same profile to all downstream consumers

Request → Worker → KV Cache → Multiple Consumers
                              ├── Ad Server (GAM/PBS)
                              ├── Analytics (GA4)
                              └── Personalization

Why Workers + KV?

Feature	Benefit
Edge execution	Sub-10ms response globally
KV caching	Deterministic, cacheable profiles
First-party	Runs on your domain, no 3P cookies
Single analysis	One fetch, many consumers

Links

• Source: https://github.com/mixpeek/connectors/tree/main/cloudflare-workers
• • Documentation: https://mixpeek.com/connectors/cloudflare-workers
• • Template proposal: [Template Proposal] Edge Content Intelligence Worker (KV caching, multi-consumer) templates#896

Use Cases

• Publishers replacing client-side contextual targeting
• • E-commerce sites unifying product page signals
• • Media companies consolidating analytics enrichment
    Would love feedback from anyone who's built similar patterns. What caching strategies have worked for you?