{
  "platformId": "chatgpt-work",
  "roleSlug": "marketing-managers",
  "directAnswer": "ChatGPT Work is most useful to a marketing manager on the drafting-heavy middle of the job: turning approved research into campaign plans, building strategy options memos with every assumption labeled, and synthesizing raw customer inputs into cited findings. Economy-wide usage data, projected onto this occupation as a statistical estimate rather than direct observation, suggests AI here runs mostly as augmentation: working the task back and forth with you, not replacing you. Strategy, positioning, brand and legal judgment, budgets, pricing, and anything that publishes stay yours.",
  "topUseCases": [
    {
      "interventionId": "task-20709:research-to-campaign-plan:approval-required",
      "taskId": "task-20709",
      "task": "Formulate, direct, or coordinate marketing activities or policies to promote products or services, working with advertising or promotion managers.",
      "workflowId": "research-to-campaign-plan",
      "authorityMode": "approval-required",
      "centralityScreen": {
        "value": 0.0789217344,
        "importance": {
          "value": 0.81,
          "sourceField": "role-tasks-kv:task-20709.importance"
        },
        "occupationalRelevance": {
          "value": 0.9822,
          "sourceField": "role-tasks-kv:task-20709.relevance / 100"
        },
        "frequency": {
          "kind": "modal-response-share",
          "modalResponseSharePct": 9.92,
          "collectionDate": "2026-06-03",
          "sourceField": "role-tasks-kv:task-20709.modalResponseSharePct"
        }
      },
      "agentFit": {
        "value": 0.9025,
        "sourceField": "rule:digital-feasibility-and-capability-fit-single-count.v2"
      },
      "distribution": {
        "value": 0.9,
        "sourceField": "roles-kv:aiPlaybook.delegatedTasks[task-20709].observed-distribution"
      },
      "evidenceConfidence": "weak",
      "withinGateScore": 0.06410417876640001,
      "gate": {
        "status": "approval-required",
        "reason": "A person must approve the verifiable handoff before action."
      },
      "capabilityIds": [
        "connected-apps-files",
        "deliverable-generation",
        "long-running-projects"
      ],
      "expectedArtifact": "Campaign plan with channels, owners, milestones, and review gates",
      "humanReviewPoint": "Approve strategy, claims, budget, brand choices, and any external release.",
      "riskLevel": "high"
    },
    {
      "interventionId": "task-951:research-to-campaign-plan:recommend",
      "taskId": "task-951",
      "task": "Identify, develop, or evaluate marketing strategy, based on knowledge of establishment objectives, market characteristics, and cost and markup factors.",
      "workflowId": "research-to-campaign-plan",
      "authorityMode": "recommend",
      "centralityScreen": {
        "value": 0.050534022,
        "importance": {
          "value": 0.825,
          "sourceField": "role-tasks-kv:task-951.importance"
        },
        "occupationalRelevance": {
          "value": 0.9832,
          "sourceField": "role-tasks-kv:task-951.relevance / 100"
        },
        "frequency": {
          "kind": "modal-response-share",
          "modalResponseSharePct": 6.23,
          "collectionDate": "2026-06-03",
          "sourceField": "role-tasks-kv:task-951.modalResponseSharePct"
        }
      },
      "agentFit": {
        "value": 0.9025,
        "sourceField": "rule:digital-feasibility-and-capability-fit-single-count.v2"
      },
      "distribution": {
        "value": 0.9,
        "sourceField": "roles-kv:aiPlaybook.delegatedTasks[task-951].observed-distribution"
      },
      "evidenceConfidence": "weak",
      "withinGateScore": 0.0410462593695,
      "gate": {
        "status": "limited",
        "reason": "Authority remains below an approval-required intervention."
      },
      "capabilityIds": [
        "connected-apps-files",
        "browser-research-actions",
        "deliverable-generation"
      ],
      "expectedArtifact": "Evidence-linked marketing strategy options memo",
      "humanReviewPoint": "Validate market evidence and make the strategy decision.",
      "riskLevel": "high"
    }
  ],
  "workflows": [
    {
      "id": "research-to-campaign-plan",
      "goal": "Turn approved customer and market research into a review-ready campaign plan.",
      "inputs": [
        "Approved research",
        "Business objectives",
        "Brand rules",
        "Budget constraints"
      ],
      "connectedSystems": [
        "Document repository",
        "Analytics source",
        "Project tracker"
      ],
      "steps": [
        "Inventory the supplied evidence and flag gaps.",
        "Draft audience, message, channel, milestone, and measurement options.",
        "Create a campaign plan with citations and explicit assumptions.",
        "Route the plan to the marketing owner for approval."
      ],
      "expectedArtifact": "Cited campaign plan and launch tracker",
      "starterPrompt": "Using only the approved research and constraints I provide, draft a campaign plan with cited evidence, assumptions, owners, milestones, measures, and explicit decisions for my review.",
      "humanReviewPoint": "A marketing owner approves the strategy, claims, spend, and publication.",
      "commonFailure": "Treating weak research or inferred audience claims as established facts."
    },
    {
      "id": "pricing-decision-memo",
      "goal": "Stress-test a pricing option into a decision memo the human decides from.",
      "inputs": [
        "The pricing question and constraints, stated by you",
        "Your current prices and margin inputs",
        "Any competitor evidence you actually hold"
      ],
      "connectedSystems": [
        "Spreadsheet or pricing model",
        "Document repository"
      ],
      "steps": [
        "State the option table: anchoring, bundling, and margin math, every number labeled as provided or computed.",
        "Red-team the preferred option: the three most plausible ways it fails.",
        "List the evidence gaps, including any competitor numbers you do not have and how to collect them.",
        "Assemble the decision memo with the decision left explicitly open."
      ],
      "expectedArtifact": "Pricing decision memo with labeled numbers and a red-team section",
      "starterPrompt": "I will state the pricing question and constraints. Build the option table with anchoring, bundling, and margin math, labeling every number as provided by me or computed. Red-team my preferred option: three plausible failure modes. Do not invent competitor prices.",
      "humanReviewPoint": "The pricing decision is made by you, on the record; the memo only frames it.",
      "commonFailure": "Presenting computed or assumed numbers as market data, especially competitor prices."
    },
    {
      "id": "research-synthesis-findings",
      "goal": "Synthesize raw customer inputs into a findings memo where every finding is traceable.",
      "inputs": [
        "Survey exports",
        "Call notes",
        "Reviews or support transcripts"
      ],
      "connectedSystems": [
        "Document repository",
        "Survey or analytics source"
      ],
      "steps": [
        "Ingest the raw inputs and index them so findings can cite exact spans.",
        "Draft findings, each citing the input it came from.",
        "Separate weak signals into their own section with the sample size stated.",
        "Route the memo for approval before it informs anything downstream."
      ],
      "expectedArtifact": "Findings memo with per-finding citations and a weak-signal section",
      "starterPrompt": "Here are raw research inputs. Produce a findings memo where every finding cites the exact input span it came from, with a separate weak-signal section for anything based on small numbers. Where the data is thin, say unknown; unknown is not zero.",
      "humanReviewPoint": "You approve the memo before it informs strategy, creative, or spend.",
      "commonFailure": "Quietly promoting a three-response pattern into a market truth without stating the n."
    }
  ],
  "setupRecommendations": [
    {
      "item": "Connect only the approved research, analytics, brand, and planning sources.",
      "rationale": "The guide depends on current evidence and explicit brand boundaries.",
      "capabilityIds": [
        "connected-apps-files",
        "approval-enterprise-controls"
      ]
    }
  ],
  "prompts": [
    {
      "id": "campaign-plan-draft",
      "title": "Draft a campaign plan from approved research",
      "prompt": "Create a campaign-plan draft from these approved inputs. Separate sourced facts, assumptions, and decisions; include owners, milestones, measures, and review gates. Tag every claim as sourced, assumed, or my call to make.",
      "expectedArtifact": "Campaign-plan draft with a claims ledger",
      "humanReviewPoint": "Approve all strategic decisions and external claims."
    },
    {
      "id": "strategy-options-memo",
      "title": "Build strategy options with the assumptions exposed",
      "prompt": "Interview me for company context first: product, segment, constraint, budget. Then draft two or three strategy options. Tag every fact as research-sourced, provided by me, or ungrounded, and end with the list of what you could not ground.",
      "expectedArtifact": "Strategy options memo with receipts section",
      "humanReviewPoint": "Strike or confirm each assumption; the strategy decision is yours."
    },
    {
      "id": "pricing-decision-memo",
      "title": "Stress-test a pricing option",
      "prompt": "I will state the pricing question and constraints. Build the option table with anchoring, bundling, and margin math, labeling every number as provided by me or computed. Then red-team my preferred option: give me the three most plausible ways it fails. Do not invent competitor prices; if I have none, tell me how to collect them.",
      "expectedArtifact": "Pricing decision memo",
      "humanReviewPoint": "Pricing touches money and competitive posture; you decide, on the record."
    },
    {
      "id": "research-synthesis-memo",
      "title": "Synthesize raw research into cited findings",
      "prompt": "Here are raw inputs: survey exports, call notes, reviews. Produce a findings memo where every finding cites the exact input it came from, with a separate weak-signal section for anything based on small numbers. Unknown is not zero; say so where the data is thin.",
      "expectedArtifact": "Findings memo with per-finding citations",
      "humanReviewPoint": "Approve before the memo informs anything downstream."
    },
    {
      "id": "map-my-real-job",
      "title": "Map my actual responsibilities to this role's tasks",
      "prompt": "Here are my actual responsibilities: [paste]. Map each to this occupation's task graph, tell me which carry measured AI usage and with what evidence class, and which have no data. Separate the two honestly.",
      "expectedArtifact": "Personal delegation map",
      "humanReviewPoint": "You judge which mapped tasks are worth a first delegation."
    },
    {
      "id": "ninety-day-operating-plan",
      "title": "Draft my 90-day AI operating plan",
      "prompt": "Given my delegation map and team size, produce a 90-day plan: which tasks move to draft-with-approval first, what stays human-only and why, and what evidence I should collect to revisit each call.",
      "expectedArtifact": "90-day adoption plan",
      "humanReviewPoint": "The sequencing and the human-only list are your decisions."
    }
  ],
  "humanOwnedResponsibilities": [
    "Marketing strategy and positioning: the agent drafts options, the direction is yours",
    "Brand voice and legal exposure: nothing carrying the company's name ships without your read",
    "Budget, pricing, and external commitments: money decisions stay human, on the record",
    "Revenue projections: the occupation data has no outcome numbers for your company, so any agent that offers one is guessing",
    "Team and headcount judgments: measured task overlap is not a staffing recommendation",
    "Final approval and publication"
  ],
  "risks": [
    {
      "id": "unsupported-market-claim",
      "level": "high",
      "description": "The draft may overstate market evidence or present assumptions as facts.",
      "mitigation": "Require citations, assumption labels, and owner approval before reuse."
    }
  ],
  "sources": [
    {
      "id": "occupation-marketing-managers",
      "title": "Marketing Managers occupational render model",
      "url": "https://singulariki.com/roles/marketing-managers",
      "publisher": "gold.onet_role_starter_surface",
      "lastReviewedAt": "2026-06-03"
    },
    {
      "id": "openai-chatgpt-work",
      "title": "ChatGPT Work and Codex",
      "url": "https://help.openai.com/en/articles/20001275-chatgpt-work-and-codex",
      "publisher": "OpenAI",
      "lastReviewedAt": "2026-07-11"
    },
    {
      "id": "openai-work-deliverables",
      "title": "Creating and editing documents, spreadsheets, and presentations with ChatGPT Work",
      "url": "https://help.openai.com/en/articles/20001278-creating-and-editing-documents-spreadsheets-and-presentations-with-chatgpt-work",
      "publisher": "OpenAI",
      "lastReviewedAt": "2026-07-11"
    },
    {
      "id": "openai-work-cloud-browser",
      "title": "Using cloud browser in ChatGPT",
      "url": "https://help.openai.com/en/articles/20001280-using-cloud-browser-in-chatgpt",
      "publisher": "OpenAI",
      "lastReviewedAt": "2026-07-11"
    },
    {
      "id": "openai-work-desktop-browser",
      "title": "Using the built-in browser in the ChatGPT desktop app",
      "url": "https://help.openai.com/en/articles/20001277-using-the-built-in-browser-in-the-chatgpt-desktop-app",
      "publisher": "OpenAI",
      "lastReviewedAt": "2026-07-11"
    },
    {
      "id": "openai-chatgpt-skills",
      "title": "Skills in ChatGPT",
      "url": "https://help.openai.com/en/articles/20001066",
      "publisher": "OpenAI",
      "lastReviewedAt": "2026-07-11"
    },
    {
      "id": "openai-chatgpt-scheduled-tasks",
      "title": "Scheduled Tasks in ChatGPT",
      "url": "https://help.openai.com/en/articles/10291617-tasks-in-chatgpt",
      "publisher": "OpenAI",
      "lastReviewedAt": "2026-07-11"
    },
    {
      "id": "openai-workspace-agents",
      "title": "ChatGPT Workspace Agents for Enterprise and Business",
      "url": "https://help.openai.com/en/articles/20001143",
      "publisher": "OpenAI",
      "lastReviewedAt": "2026-07-11"
    }
  ],
  "freshness": {
    "platformVersion": "2026-07-09-launch",
    "platformReviewedAt": "2026-07-11",
    "occupationalDataVersion": "O*NET 30.3",
    "occupationalDataGeneratedAt": "2026-06-03T05:05:52.989984+00:00"
  },
  "quality": {
    "uniqueOccupationalOrTaskEvidence": false,
    "validPlatformSpecificWorkflow": true,
    "clearOutputArtifact": true,
    "realCapabilityMatch": true,
    "meaningfulHumanReviewSection": true,
    "sourcesAndFreshness": false,
    "distinctInternalRelationships": true,
    "noUnresolvedFactualOrProductVersionFailure": false,
    "indexable": false
  }
}