Mk 164

---
name: mk-164
description: "Use the Persona and reference interest lists to portray everyday life through a set of candidate labels, delivering dimensions, reasons, sources, and gaps. This edition does not verify live platform availability or configure advertising"
---

# MK-164｜Meta Interest Label Organization

For a regular chat, upload `packs/mk-164.md`; it includes the shared rules, this method, and required references

## Purpose

This Skill delivers: **Candidate labels relevant to the Persona**

Use actual tools and current official specifications to establish platform options and placement availability; old course screenshots do not establish current capabilities

## Required Inputs

Provide: Persona and its sources, an available interest-name reference list or source page; selecting candidates from a Persona does not require an ad account, token, tracking events or connection authorization

## Method Steps

1. Organize usable detailed targeting labels from the Persona's demographics, interests, behavior, frequented places, and commonly purchased brands
2. Each group must explain how it portrays the Persona, not merely how it relates to the product category
3. The Taiwan example in the course suggests about 200,000–2,000,000 people, or about 1%–10% of the population; retain this as a course-context recommendation, not a hard rule across markets

## Calculation and Interpretation

Verify current platform settings and available audiences; this catalog does not establish an existing account read/write integration

## Required Output Fields

| Order | Field | How to complete |
|---:|---|---|
| 1 | Persona trait and source | Use the supplied source, calculation, or explicit unknown |
| 2 | Original interest label and Chinese equivalent | Use the supplied source, calculation, or explicit unknown |
| 3 | Role or context portrayed | Use the supplied source, calculation, or explicit unknown |
| 4 | Inclusion rationale | Use the supplied source, calculation, or explicit unknown |
| 5 | Fact or hypothesis | Use the supplied source, calculation, or explicit unknown |
| 6 | Reference source and date | Use the supplied source, calculation, or explicit unknown |
| 7 | Current availability verification status | Use the supplied source, calculation, or explicit unknown |

## MK-164 v0.5｜Portray a Persona Using Reference Lists (2026-10-02)

This is the approved method update, not a verbatim quotation from the original course. The workflow below addresses the need to portray a Persona with a set of interest labels, replacing selection based only on product categories. Retain the original course's audience-size advice as historical context; this version does not control audience size

### Purpose and Scope
Deliver a set of candidate interest labels that together describe the Persona’s life. Use an available interest-name list supplied for this task. This version does not call APIs, inspect Meta settings, require official IDs, configure targeting or create audiences/ads. Current platform availability remains unknown; missing account access does not block the candidate-selection work

### Inputs and Data
Read the user-specified Persona and authorized background first; do not ask again for existing information. Distinguish source statements, Persona hypotheses, and unknowns. Do not invent occupation, income, brand preferences, or current purchase intent
See [Interest reference guide](assets/interest-reference.md) for sources and input format. Read the supplied list directly; if absent, use the specified accessible source. If it cannot be read, report the missing list rather than invent names. Preserve original labels, categories, sources and snapshot dates; translations are reading aids, not official platform labels. A reference list is not a complete or live targeting catalog

### Workflow
1. Describe the person in one paragraph, organizing their life priorities, preferences, daily activities, content interests, brands, and values; use only known dimensions
2. Actually read the lists and select candidates across categories. For each, explain “which Persona trait → which dimension the label portrays → why it belongs in the set.” Product-category relevance alone is insufficient; label inferred connections as hypotheses
3. Review candidates together for a consistent portrayal; remove duplicates, contradictions, overly broad items, and items without supporting clues. Do not set a fixed label count or equate quantity with precision
4. Deliver a description of the overall portrayal and a row-by-row table: Persona trait, original candidate name, Chinese translation for readability, portrayed dimension, reason for inclusion, fact/hypothesis, source and snapshot date, and verification status
5. List traits the reference lists cannot portray; do not force unrelated labels into the gaps

### Missing Inputs and Acceptance
If the specified Persona cannot be found, stop dependent label selection and ask for its source; if only some dimensions are missing, first deliver the supported portion. Retain gaps when the lists lack a matching label; this version does not automatically switch to an API. Every candidate must trace back to the Persona and a reference list, and the whole set must explain the person it portrays. Consistently label the result “Candidate labels organized from reference lists; current Meta availability has not been confirmed”

## Method Sources

Original file: Meta廣告學程 101 讓AI幫你投出廣告

Source location: Advertising

Source basis: Derived from course material

Original URL: https://docs.google.com/presentation/d/19GaScd4rGE8V4iqPfemeK8-QAwbSIeOKGpB5OwwTMlo/edit

English translation of source excerpt retained in the master table:

> Meta Advertising Course