Customer Journey Intelligence File
Map real customer behavior from discovery through conversion, retention, and expansion.
- Difficulty
- Moderate
- Time to result
- ~weeks to results
- Steps
- 7
- Confidence
- 99%
The Customer Journey Intelligence File is a living map of how customers move from discovery through evaluation, conversion, activation, retention, and expansion. It records where people find the brand, what triggers awareness, which questions and objections arise during comparison, what closes a deal, which proof points buyers require, and what creates the product's aha moment. It also captures reasons for stalling or churn and the conditions that support expansion. Marketing skills use this information to adapt their output to the customer's current situation rather than applying one generic message across the entire journey. The file can cross-reference emotional drivers in the Audience Delight Profile, allowing separate context documents to cooperate without duplicating responsibilities.
Origin
Extracted from Marketing Against The Grain as the fourth starter file in the foundational layer, illustrated with a hypothetical Notion customer journey.
Core principles
- 01Marketing output should change according to the customer's current journey stage.
- 02A useful journey map records observed behavior, questions, objections, and triggers.
- 03Discovery channels and awareness triggers require different marketing responses.
- 04Retention, churn, and expansion belong in the same intelligence system as acquisition.
- 05Journey intelligence should cross-reference emotional drivers stored elsewhere.
How to run it
- 1
Map discovery
List the channels and recommendations through which customers actually encounter the brand.
Pro tip Rank channels by observed importance rather than listing every possible source.
Watch out Do not confuse channels the team uses with channels customers genuinely use.
- 2
Identify awareness triggers
Document the events, frustrations, or aspirations that make someone receptive to the category or brand.
Pro tip Cross-reference emotional details from the audience profile instead of duplicating them.
Watch out A channel tells you where awareness occurred, not why it occurred.
- 3
Capture evaluation behavior
Record what prospects ask, compare, misunderstand, and object to while considering alternatives.
Pro tip Use sales calls, support conversations, search behavior, and customer interviews as evidence.
Watch out Internal assumptions about objections can distort sales-enablement content.
- 4
Document conversion conditions
Identify the triggers, proof points, social evidence, and practical constraints that close a deal or drive signup.
Pro tip Separate universal proof requirements from segment-specific ones.
Watch out A conversion event does not reveal which condition caused it without supporting evidence.
- 5
Define activation
Describe the product experience that makes customers recognize value and continue using it.
Pro tip Express the aha moment as observable behavior rather than an abstract feeling.
Watch out Treating account creation as activation hides adoption problems.
- 6
Diagnose retention and churn
Record why customers stall, fail to adopt, switch to specialized tools, or encounter scale and context problems.
Pro tip Distinguish preventable product friction from customers whose needs genuinely changed.
Watch out Do not reduce every departure to a generic engagement problem.
- 7
Map expansion
Identify usage changes, team adoption, limits, and new needs that create natural expansion opportunities.
Pro tip Connect expansion messages to demonstrated customer value.
Watch out Premature upselling can interrupt activation and weaken trust.
In the wild
The illustrative file records discovery through YouTube, peers, TikTok, Reddit, Product Hunt, and search. It then captures evaluation objections, conversion triggers, proof points, the first linked-database workspace moment, reasons teams leave, and expansion opportunities.
→ Different skills can create acquisition, sales, retention, and expansion material matched to real journey conditions.
A SaaS team records that new prospects discover it through peer referrals, evaluate it against spreadsheets, convert after seeing an industry case study, activate after importing real data, and churn when colleagues never adopt it. AI skills use each signal for the appropriate asset.
→ Content becomes specific to the decision customers are making at each stage.
Common mistakes
Drawing a decorative funnel
A generic diagram does not provide the behavioral detail an AI skill needs to create useful output.
Stopping at conversion
Ignoring activation, churn, and expansion leaves large portions of the customer relationship without context.
Using one message everywhere
Customers at discovery and evaluation stages have different questions and require different outputs.
Is it for you?
Best for
It is best for teams coordinating acquisition, product-led growth, sales enablement, retention, and expansion content.
Not ideal for
It is not ideal as a decorative linear funnel diagram disconnected from observed customer behavior.
From the transcript
“The last one we're going to do is a customer journey intelligence foundational file.”
“This is not a funnel diagram, they're old and stuffy.”
“So you can see this customer journey is really how you acquire to actually expand to actually keep people using your product, and how you…”
From the episode
The Real Reason Your AI Content Is Average (It's Not Your Prompts)