74 lines
2.6 KiB
Markdown
74 lines
2.6 KiB
Markdown
# Value Creation Model
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## Purpose
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Explain how the company creates measurable or directional value for local service businesses.
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## Core Value Thesis
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The company creates value by reducing Silent Customer Loss through continuous monitoring, diagnosis, prioritization, and approved low-risk optimization of digital pathways that affect discovery, trust, and customer action.
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## Value Categories
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### Customer Path Leakage
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Customer Path Leakage occurs when a customer has interest or intent but fails to contact, book, visit, or otherwise engage the business because of digital friction.
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This category often produces **verified evidence** because the issue can be tied to a concrete defect, timestamp, platform state, or measurable artifact.
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### Discovery Failure
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Discovery Failure occurs when a potential customer never meaningfully encounters the business because customers, search engines, or AI systems do not find, understand, surface, or accurately represent it.
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This category often produces **indicative evidence** because absence or weak representation in search or AI-assisted discovery can be sampled and demonstrated, but not always proven as a direct lost customer.
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## Evidence Tiers
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### Tier 1: Verified Evidence
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Verified Evidence is based on concrete, timestamped, observable, or instrument-backed findings.
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**Examples:**
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- Wrong phone number
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- Incorrect business hours
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- Broken booking link
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- Broken contact form
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- Incorrect listing data
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- Indexing problem
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- Metadata problem
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- Canonical tag issue
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- Missing or incorrect Google Business Profile information
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**Reporting standard:**
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Verified Evidence may be presented as a confirmed issue.
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### Tier 2: Indicative Evidence
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Indicative Evidence is based on sampled, directional, or probabilistic findings that suggest risk or opportunity but do not prove direct customer loss.
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**Examples:**
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- AI answer absence
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- AI misrepresentation
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- Weak entity clarity
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- Inconsistent service descriptions
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- Thin FAQ coverage
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- Missing structured data
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- Competitors appearing more consistently in AI answer samples
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- Weak local discovery signals
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**Reporting standard:**
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Indicative Evidence must be presented as directional risk or opportunity, not as confirmed customer loss.
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## Reporting Principle
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Reports must distinguish between confirmed issues and directional risks.
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The company should not overstate indicative findings as proven customer loss.
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## Before/After Proof
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Customer Path Leakage may support stronger before/after proof.
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Discovery Failure may support directional before/after comparison, but should be labeled as sampled or indicative when appropriate. |