> For the complete documentation index, see [llms.txt](https://docs.agenticflow.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.agenticflow.ai/reference/nodes/mma_brand_confirm.md).

# MMA Brand Confirm

**Action ID:** `mma_brand_confirm`

## Description

MMA Brand Confirm node

## Input Parameters

| Name               | Type   | Required | Default | Description                                    |
| ------------------ | ------ | :------: | ------- | ---------------------------------------------- |
| brand              | string |     ✓    | -       | The brand name for the MMA event confirmation  |
| morning\_session   | array  |     ✓    | -       | List of morning session topics for the event   |
| afternoon\_session | array  |     ✓    | -       | List of afternoon session topics for the event |

<details>

<summary>View JSON Schema</summary>

```json
{
  "description": "MMA Brand Confirm node input.",
  "properties": {
    "brand": {
      "title": "Brand Name",
      "type": "string"
    },
    "morning_session": {
      "description": "List of morning session topics",
      "items": {
        "type": "string"
      },
      "title": "Morning Session",
      "type": "array"
    },
    "afternoon_session": {
      "description": "List of afternoon session topics",
      "items": {
        "type": "string"
      },
      "title": "Afternoon Session",
      "type": "array"
    }
  },
  "required": [
    "brand",
    "morning_session",
    "afternoon_session"
  ],
  "title": "MMABrandConfirmInput",
  "type": "object"
}
```

</details>

## Output Parameters

| Name    | Type   | Description                                                     |
| ------- | ------ | --------------------------------------------------------------- |
| message | string | Confirmation message with event details and session information |
| image   | string | URL to the generated confirmation image for the event           |

<details>

<summary>View JSON Schema</summary>

```json
{
  "description": "MMA Brand Confirm node output.",
  "properties": {
    "message": {
      "title": "Message",
      "type": "string"
    },
    "image": {
      "title": "Image",
      "type": "string"
    }
  },
  "required": [
    "message",
    "image"
  ],
  "title": "MMABrandConfirmOutput",
  "type": "object"
}
```

</details>

## How It Works

This node processes MMA (Mobile Marketing Association) event confirmation data for a specific brand, taking the brand name and session information for morning and afternoon schedules. It generates a formatted confirmation message summarizing the event details and produces a branded confirmation image suitable for marketing communications, event registration confirmations, or promotional materials.

## Usage Examples

### Example 1: Technology Brand Event

**Input:**

```
brand: "TechCorp"
morning_session: [
  "Opening Keynote: Future of Mobile Marketing",
  "Panel Discussion: AI in Marketing",
  "Workshop: Data Analytics Best Practices"
]
afternoon_session: [
  "Case Study: Successful Mobile Campaigns",
  "Networking Session",
  "Closing Remarks"
]
```

**Output:**

```
message: "Event Confirmation for TechCorp\n\nMorning Sessions:\n- Opening Keynote: Future of Mobile Marketing\n- Panel Discussion: AI in Marketing\n- Workshop: Data Analytics Best Practices\n\nAfternoon Sessions:\n- Case Study: Successful Mobile Campaigns\n- Networking Session\n- Closing Remarks\n\nThank you for your participation!"
image: "https://storage.example.com/events/techcorp_confirmation_12345.png"
```

### Example 2: Retail Brand Conference

**Input:**

```
brand: "RetailMax"
morning_session: [
  "Welcome & Registration",
  "E-commerce Trends 2024"
]
afternoon_session: [
  "Mobile Payment Solutions",
  "Customer Engagement Strategies",
  "Q&A Session"
]
```

**Output:**

```
message: "Event Confirmation for RetailMax\n\nMorning Sessions:\n- Welcome & Registration\n- E-commerce Trends 2024\n\nAfternoon Sessions:\n- Mobile Payment Solutions\n- Customer Engagement Strategies\n- Q&A Session\n\nThank you for your participation!"
image: "https://storage.example.com/events/retailmax_confirmation_67890.png"
```

### Example 3: Healthcare Brand Summit

**Input:**

```
brand: "HealthConnect"
morning_session: [
  "Digital Health Innovation",
  "Patient Engagement Apps",
  "HIPAA Compliance in Mobile"
]
afternoon_session: [
  "Telemedicine Best Practices",
  "Mobile Health Monitoring",
  "Round Table Discussion"
]
```

**Output:**

```
message: "Event Confirmation for HealthConnect\n\nMorning Sessions:\n- Digital Health Innovation\n- Patient Engagement Apps\n- HIPAA Compliance in Mobile\n\nAfternoon Sessions:\n- Telemedicine Best Practices\n- Mobile Health Monitoring\n- Round Table Discussion\n\nThank you for your participation!"
image: "https://storage.example.com/events/healthconnect_confirmation_24680.png"
```

## Common Use Cases

* **Event Registration Confirmations**: Generate personalized confirmation messages and images for attendees who register for MMA events
* **Automated Email Campaigns**: Create branded confirmation materials to be sent automatically after event registration
* **Event Marketing Materials**: Produce promotional images with session schedules for social media and marketing campaigns
* **Sponsor Communications**: Generate branded content for event sponsors showing their involvement and session participation
* **Mobile App Notifications**: Create rich notification content for event reminder apps with schedule details
* **Multi-Brand Event Management**: Process confirmations for multiple brands participating in the same MMA event
* **Session Planning Workflows**: Integrate with scheduling systems to automatically generate confirmations as sessions are finalized

## Error Handling

| Error Type              | Cause                                                       | Solution                                                          |
| ----------------------- | ----------------------------------------------------------- | ----------------------------------------------------------------- |
| Missing Brand Name      | Brand parameter is empty or not provided                    | Ensure the brand name is provided and is not an empty string      |
| Empty Session Lists     | Morning or afternoon session arrays are empty               | Provide at least one session topic for each time period           |
| Invalid Session Format  | Session items are not strings or contain invalid characters | Ensure all session items are properly formatted strings           |
| Image Generation Failed | Error creating the confirmation image                       | Check image generation service availability and retry the request |
| Brand Not Found         | Brand name doesn't match any registered brands              | Verify the brand name matches your registered brand identities    |
| Session Limit Exceeded  | Too many sessions provided for a single time slot           | Reduce the number of sessions or split into multiple events       |
| Network Error           | Unable to upload or access generated image                  | Check network connectivity and storage service availability       |

## Notes

* **Brand Consistency**: Ensure the brand name matches exactly with your registered brand identities for proper image generation.
* **Session Organization**: Order sessions in the arrays according to their scheduled time sequence for better readability.
* **Session Descriptions**: Keep session titles concise and descriptive for better clarity in confirmations and images.
* **Image Storage**: The generated confirmation images are stored temporarily; save or distribute them promptly.
* **Localization**: Session titles should be in the appropriate language for your target audience.
* **Session Limits**: While the node accepts flexible session counts, consider keeping the total under 10 per period for readability.
* **Message Format**: The output message is formatted with line breaks; ensure your email or display system preserves formatting.
* **Branding Elements**: The generated image incorporates brand-specific colors and logos based on the brand name provided.