Data Bloo

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---
name: data-bloo-channel-analysis
description: Analyze one marketing, search, social, local, or ecommerce data source connected to Data Bloo. Use when a user selects a source such as Facebook Ads and asks for a performance analysis, trends, strongest and weakest results, or recommendations based on that source's data. Do not use for cross-channel comparisons or for creating, editing, pausing, publishing, or deleting external data.
---

# Data Bloo Channel Analysis

Use the Data Bloo MCP to analyze one connected data source and one selected account. All Data Bloo tools are read-only.

## Trigger conditions

Use this skill when the user asks to:

- Analyze one selected marketing, search, social, local, or ecommerce source.
- Review the performance of a source such as Facebook Ads.
- Identify trends, strongest and weakest campaigns, products, pages, posts, keywords, or other entities within one source.
- Summarize performance and provide practical recommendations based on connected data.
- Produce a detailed report for one source.

Do not use this skill when the user asks to:

- Compare two or more different channels or connectors.
- Create, edit, pause, publish, or delete campaigns, accounts, ads, dashboards, reports, or source data.
- Buy, upgrade, or manage a Data Bloo subscription.
- Give general marketing advice that does not require the user's connected Data Bloo data.
- Analyze a source that is not returned by `list_data_sources`.

## Workflow

### 1. Confirm the source

Identify the single data source the user wants to analyze.

If the source is not specified:

1. Call `list_data_sources`.
2. Present the available source names.
3. Ask the user to select one.

If the user names a source, call `list_data_sources` when needed to verify the current connector slug.

Never claim that a source is supported unless it is returned by `list_data_sources`.

### 2. Select the connected account

Call `get_connector_accounts` for the selected connector.

If more than one account is available:

1. Present the account names.
2. Ask the user which account to analyze.
3. Do not choose an account automatically.

If only one account is available, use it.

Use the `external_account_id` internally for tool calls. Do not display it unless required for troubleshooting.

Do not display authentication-owner names, OAuth scopes, token-expiry values, timestamps, or other internal connection metadata.

### 3. Resolve the date range

If the user gives explicit dates, use those dates.

If the user gives a supported relative period, call `get_dates` with the matching preset.

If the user gives no date range, call:

`get_dates` with `preset: "last_30_days"`

Use the returned `start_date` and `end_date`.

State the resolved date range in the final answer.

### 4. Discover valid fields

Call `list_fields` for the selected connector and account before calling `query_data`.

Select only field IDs returned by `list_fields`.

If the user names specific metrics or dimensions, use them when available.

If the user asks for a general analysis without specifying metrics, choose a balanced set of available fields appropriate for that source.

Examples, only when returned by `list_fields`:

- Advertising: impressions, clicks or link clicks, spend, CTR, CPC, leads, purchases, revenue, campaign name.
- Search performance: clicks, impressions, CTR, average position, query, page.
- Social insights: reach, impressions, engagement, followers, media or post.
- Ecommerce: revenue, orders, average order value, products, customers.
- Local performance: views, calls, direction requests, website actions.
- Website performance: performance score and Core Web Vitals.

Do not invent field IDs or assume that every connector supports the same metrics.

### 5. Query the selected source

Call `query_data` using:

- The verified connector slug.
- The selected account's `external_account_id`.
- Valid fields returned by `list_fields`.
- The resolved start and end dates.

For a general 

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