II.
Workflow JSON
Structured · liveworkflow:customer-marketing-campaign
Customer Marketing Campaign json
Inspect the normalized record payload exactly as the atlas UI reads it.
{
"id": "workflow:customer-marketing-campaign",
"_kind": "Workflow",
"_file": "workflows/workflows/workflows-marketing-funnel.yaml",
"_cluster": "workflows",
"attributes": {
"displayName": "Customer Marketing Campaign",
"workflowKind": "operational",
"triggerType": "event-driven",
"typicalCadence": "monthly",
"complexity": "cross-team",
"description": "Designs and executes post-acquisition marketing campaigns targeting existing\ncustomers — identifying cross-sell and upsell opportunities from product\nusage data, launching feature adoption campaigns for underutilized\ncapabilities, building expansion revenue programs through upgrade incentives,\ncreating customer advocacy programs that generate case studies and referrals,\nand measuring net revenue retention impact per campaign. Produces customer\nsegment engagement reports, expansion pipeline attribution, and feature\nadoption lift analyses. Excludes customer support and success operations.\n"
},
"outgoingEdges": [
{
"from": "workflow:customer-marketing-campaign",
"to": "role:planner",
"kind": "involves_role",
"attributes": {}
},
{
"from": "workflow:customer-marketing-campaign",
"to": "role:data-analyst",
"kind": "involves_role",
"attributes": {}
},
{
"from": "workflow:customer-marketing-campaign",
"to": "role:business-analyst",
"kind": "involves_role",
"attributes": {}
},
{
"from": "workflow:customer-marketing-campaign",
"to": "skill-area:marketing-automation",
"kind": "requires_skill_area",
"attributes": {}
},
{
"from": "workflow:customer-marketing-campaign",
"to": "skill-area:data-analytics",
"kind": "requires_skill_area",
"attributes": {}
},
{
"from": "workflow:customer-marketing-campaign",
"to": "domain:marketing",
"kind": "applies_to_domain",
"attributes": {}
},
{
"from": "workflow:customer-marketing-campaign",
"to": "domain:customer-relations",
"kind": "applies_to_domain",
"attributes": {}
},
{
"from": "workflow:customer-marketing-campaign",
"to": "responsibility:data-quality-monitoring",
"kind": "triggers_responsibility",
"attributes": {}
},
{
"from": "workflow:customer-marketing-campaign",
"to": "responsibility:performance-budget-tracking",
"kind": "triggers_responsibility",
"attributes": {}
},
{
"from": "workflow:customer-marketing-campaign",
"to": "org-unit:marketing-team",
"kind": "performed_by_org_unit",
"attributes": {}
},
{
"from": "workflow:customer-marketing-campaign",
"to": "org-unit:growth-team",
"kind": "performed_by_org_unit",
"attributes": {}
}
],
"incomingEdges": [
{
"from": "tool:loops",
"to": "workflow:customer-marketing-campaign",
"kind": "supports_work",
"attributes": {
"confidence": "high",
"evidence": "Audience-triggered email sequences are direct customer-marketing projection points."
}
},
{
"from": "tool-server:mcp-loops-candidate",
"to": "workflow:customer-marketing-campaign",
"kind": "supports_work",
"attributes": {
"confidence": "medium",
"evidence": "Email automation data supports customer campaign analysis."
}
}
]
}