contexture · live
visit· session views· total views· time on site· avg views/visit· days since last·
sample

behavioral profile

visitor type
·
first page of session
·
avg time on site
·
engagement
·

query yourself · CX.io()

CX.io(
//==> run a query to see your own context
field manual · vol. i
Contexture
The craft of behavioral contextualization
a career method
Adobe · Symantec · Ensighten

the field manual

The Context Layer

The whole method in one volume: collect, calculate, syndicate, the privacy model, the recipes, and the full API reference. No filler, no screenshots of code. Written peer to peer. Free to read on-site; licensed to deploy.

Read the whole book, free →

free to read

The whole book is free to read here. No gate, no card, no email.

Every chapter is on-site: the method, the recipes, the privacy model, and the full API reference. You buy the license to deploy the library in commercial work, not to read.

Start reading →

The promise

By the end you can build an owned, first-party context layer on any site: persistent anonymous profiles, calculated engagement and affinity, and clean syndication into the tools you already run. It makes the tools you already have smarter, consistent, and portable.

Who it is for

The technical practitioner who owns the dataLayer and the tag manager, reads JavaScript fluently, and has felt the ceiling of a profile script. If that is you, this was written for you.

contents

Parts I to V, plus appendices

Part I · foundations: the case for an owned context layer

  1. The problem with borrowed context (and the post-cookie reality)
  2. What a first-party contextualization layer is, and what it is not (vs TMS, CDP, testing tools)
  3. The Contexture model: context, relevance, engagement
  4. Setup and install patterns (tag manager, direct, load order, consent-gating)

Part II · the craft: building owned, calculated context

  1. Data I/O: normalizing dataLayer, digitalData, utag_data, and optimizely into one query API
  2. Behavioral state and sessionization (visits, recency, frequency, time on site, visitor type)
  3. The calculation patterns: affinity, value, funnel, identify, segment, click, scroll
  4. Designing milestones, thresholds, and audience models you own
  5. Privacy by design: anonymous, first-party, consent-respecting (and why it's a selling point)

Part III · the differentiator: enriching the tools you already have

  1. Enriching Adobe Target (past profile-script limits)
  2. Enriching Optimizely (owned audiences and targeting inputs)
  3. Enriching GA4 and GTM (consistent custom dimensions and events from one source)
  4. Syndication patterns: one context, many tools, consistent segments

Part IV · applied recipes and playbooks

  1. Progressive enhancement and personalization recipes
  2. Recommendation and upsell signals from clickstream and affinity
  3. Re-engagement and cross-channel reinforcement
  4. The content module: hide, swap, reveal (anti-flicker done right)

Part V · for consultants: the force-multiplier

  1. Deploying across client engagements; the portable toolkit
  2. Commercial licensing and client positioning
  3. Packaging contextualization as a billable service

Bonus and appendices

A Shopify install-it-yourself recipe · Appendix A, the full API reference · a privacy/consent checklist · the Toolkit · practitioner resources

depth

Three pulls from inside

"Most of the data that decides what a visitor sees is not yours."

"Context is the customer's side of the conversation. Subtext is the marketer's side."

"The difference between a consultant who configures vendors and a consultant who architects the layer the vendors sit on."

Written by the person who first formed the context layer concept and holds a US patent for anonymous, persona-based calculation. Read the story →

read all of it

Read the whole method. Then license it to ship.

The book is free to read on this site. Ready-to-deploy assets and the commercial deployment right come with the license.

Start with chapter 1 →