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Keith Gluck
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Merge pull request #256 from Adobe-Enterprise-Docs/kg-6-25-26
Update data-information.md
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help/marketo/product-docs/marketo-ai/data-information.md

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@@ -115,11 +115,11 @@ This section summarizes the environments in which Marketo AI operates and where
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**No separate cross-user store:** The service does not introduce a separate user-to-user data-sharing or storage layer.
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## PII and data privacy considerations: data scope by workflow type
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## Data scope by workflow type
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The data processed by Marketo AI is determined by the user's usage pattern and the specific workflow invoked. Not all workflows require processing lead-level data.
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### Workflows that process campaign metadata only (no lead PII)
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### Workflows that leverage campaign metadata only (no lead information)
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* Program creation from brief — generates program structures, smart campaigns, flow steps, and content placeholders from natural-language instructions
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* Email cloning and translation — duplicates and translates email HTML content, subject lines, and marketing copy across language variants
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* Subscription center and program architecture reviews — analyzes campaign logic and program structure
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* Product knowledge and best-practice guidance — provides Marketo how-to responses from a shared knowledge layer
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### Workflows that process lead-level records (standard B2B contact fields)
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### Workflows that leverage lead-level records (standard B2B contact fields)
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* Lead investigation and troubleshooting — examines individual lead field values, activity history, and lifecycle progression to diagnose why a lead did or did not reach MQL or qualify for a marketing campaign
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* Lead investigation and troubleshooting — examines user-supplied individual lead field values, activity history, and lifecycle progression to diagnose why a lead did or did not reach MQL status, or qualify for a marketing campaign
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* Lead import and normalization — processes user-supplied lead data including names, email addresses, phone numbers, and company fields for mapping, cleansing, and deduplication
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* Lead classification and enrichment — evaluates lead records against user-defined scoring or classification logic (e.g., Valid vs Spam leads for database health, Personas for personalization purposes, Business Leads with corporate email leads vs consumer leads)
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* Data quality and deliverability audits — analyzes lead-level engagement data, bounce patterns, and duplicate records to identify database health issues
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### Data minimization by design
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* In all cases, data sent to the AI model is limited to what is required to fulfill the specific user request within that workflow
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* The AI inherits the requesting user's existing Marketo Engage permissions — it cannot access lead records, fields, or programs beyond what the user can already view through the product UI
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* Investigative and data-operations workflows necessarily require lead-level data because the user is explicitly asking the AI to analyze, classify, or act on those records
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* Marketo AI follows the user's existing Marketo Engage permissions — it does not provide access to lead records, fields, or programs beyond what the user has permission to view through the product UI
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* Users who wish to limit lead-data processing can restrict access to the tool's investigative workflows through existing Marketo Engage role and permission controls while retaining full access to structural and administrative AI capabilities
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### No incremental data exposure

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