[
  {
    "program_name": "AWS Pinpoint Conversion Lab",
    "focus": "conversion",
    "description": "Build omnichannel engagement journeys with Amazon Pinpoint and Personalize to recover abandoned funnels.",
    "revenue_motion": "Re-activate high intent prospects via predictive messaging and targeted incentives.",
    "primary_service": "Amazon Pinpoint",
    "secondary_services": ["Amazon Personalize", "AWS Lambda", "Amazon S3"],
    "automation_play": "Trigger journey orchestration and dynamic incentives using Lambda functions backed by Personalize segments.",
    "base_roi": 3.4,
    "focus_keywords": ["conversion", "pinpoint", "journey", "email", "sms", "re-engage"]
  },
  {
    "program_name": "AWS Marketplace SaaS Launchpad",
    "focus": "acquisition",
    "description": "List curated SaaS offers on AWS Marketplace and automate co-sell motions.",
    "revenue_motion": "Extend reach to AWS buyers and close Marketplace private offers faster.",
    "primary_service": "AWS Marketplace",
    "secondary_services": ["AWS IQ", "AWS Partner Central"],
    "automation_play": "Sync Marketplace leads into CRM and orchestrate guided trials with EventBridge.",
    "base_roi": 2.8,
    "focus_keywords": ["marketplace", "acquisition", "listing", "aws", "co-sell"]
  },
  {
    "program_name": "Serverless Attribution Fabric",
    "focus": "analytics",
    "description": "Instrument marketing attribution with AWS Glue, Redshift, and QuickSight dashboards.",
    "revenue_motion": "Expose profitable channels and automatically rebalance spend into high-ROI cohorts.",
    "primary_service": "Amazon Redshift",
    "secondary_services": ["AWS Glue", "Amazon QuickSight", "AWS Step Functions"],
    "automation_play": "Build an attribution lakehouse with Glue jobs and Step Functions orchestrations feeding QuickSight.",
    "base_roi": 3.1,
    "focus_keywords": ["analytics", "attribution", "data", "warehouse", "reporting"]
  },
  {
    "program_name": "Personalization Revenue Pods",
    "focus": "retention",
    "description": "Deploy recommendation pods using Amazon Personalize and AppFlow connectors for lifecycle marketing.",
    "revenue_motion": "Increase expansion revenue with product-led upsell moments and predictive offers.",
    "primary_service": "Amazon Personalize",
    "secondary_services": ["Amazon AppFlow", "Amazon EventBridge"],
    "automation_play": "Pipe product usage into Personalize and trigger lifecycle campaigns via EventBridge rules.",
    "base_roi": 3.7,
    "focus_keywords": ["retention", "personalize", "upsell", "lifecycle", "expansion"]
  },
  {
    "program_name": "AI Content Generation Forge",
    "focus": "awareness",
    "description": "Use Amazon Bedrock with SageMaker workflows to automate campaign assets at scale.",
    "revenue_motion": "Produce high-performing creative variants while controlling compliance and brand voice.",
    "primary_service": "Amazon Bedrock",
    "secondary_services": ["Amazon SageMaker", "AWS Step Functions"],
    "automation_play": "Train guardrails in SageMaker, orchestrate Bedrock prompts, and feed results to CMS pipelines.",
    "base_roi": 2.9,
    "focus_keywords": ["awareness", "creative", "content", "bedrock", "sagemaker"]
  }
]