> For the complete documentation index, see [llms.txt](https://docs.coupler.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.coupler.io/sources/category/sales/clazar/data-overview.md).

# Data Overview

Clazar surfaces data across two main categories: **operational records** (buyers, listings, contracts, opportunities, private offers) and **marketplace analytics** broken down by cloud platform — AWS, Azure, and GCP.

## Entities and report types

| Entity                           | Type        | Best used for                    |
| -------------------------------- | ----------- | -------------------------------- |
| Buyers                           | Operational | CRM-style buyer tracking         |
| Listings                         | Operational | Marketplace product management   |
| Contracts                        | Operational | Contract lifecycle tracking      |
| Opportunities                    | Operational | Sales pipeline reporting         |
| Private offers                   | Operational | Custom deal tracking             |
| AWS revenue                      | Analytics   | Financial reporting              |
| AWS disbursements                | Analytics   | Cash flow tracking               |
| AWS co-sell opportunities        | Analytics   | Partner pipeline reporting       |
| Azure revenue                    | Analytics   | Financial reporting              |
| Azure customers                  | Analytics   | Customer analytics               |
| Azure orders                     | Analytics   | Transaction reporting            |
| Azure metered usage              | Analytics   | Usage-based billing analysis     |
| Azure co-sell opportunities      | Analytics   | Partner pipeline reporting       |
| GCP disbursements                | Analytics   | Payment settlement tracking      |
| GCP disbursements summary        | Analytics   | High-level financial summaries   |
| GCP charges and usage            | Analytics   | Billing and consumption analysis |
| GCP daily insights               | Analytics   | Day-over-day performance         |
| GCP incremental daily insights   | Analytics   | Daily trend analysis             |
| GCP monthly insights             | Analytics   | Month-over-month performance     |
| GCP incremental monthly insights | Analytics   | Monthly trend analysis           |

## Available data fields

#### Buyers

| Field        | Description                                 |
| ------------ | ------------------------------------------- |
| Buyer ID     | Unique identifier for the buyer             |
| Company name | Buyer's organization name                   |
| Marketplace  | Which cloud marketplace the buyer came from |
| Status       | Current relationship status                 |
| Created date | When the buyer record was created           |

#### Listings

| Field        | Description                           |
| ------------ | ------------------------------------- |
| Listing ID   | Unique identifier for the listing     |
| Product name | Name of the listed product or service |
| Marketplace  | AWS, Azure, or GCP                    |
| Status       | Active, draft, or inactive            |
| Listing type | SaaS, AMI, container, etc.            |

#### Contracts

| Field           | Description                  |
| --------------- | ---------------------------- |
| Contract ID     | Unique identifier            |
| Buyer reference | Associated buyer             |
| Start date      | Contract start date          |
| End date        | Contract end or renewal date |
| Value           | Contract value               |
| Status          | Active, expired, or pending  |

#### Opportunities

| Field              | Description                          |
| ------------------ | ------------------------------------ |
| Opportunity ID     | Unique identifier                    |
| Stage              | Current pipeline stage               |
| Source marketplace | Channel where opportunity originated |
| Expected value     | Projected deal value                 |
| Close date         | Anticipated close date               |

#### Marketplace analytics — revenue and disbursements

| Field               | Description                    |
| ------------------- | ------------------------------ |
| Period              | Reporting period (month, day)  |
| Gross revenue       | Total revenue before fees      |
| Net revenue         | Revenue after marketplace fees |
| Disbursement amount | Amount paid out                |
| Currency            | Transaction currency           |
| Marketplace         | AWS, Azure, or GCP             |

#### Azure marketplace orders and metered usage

| Field          | Description                |
| -------------- | -------------------------- |
| Order ID       | Unique order identifier    |
| Customer ID    | Linked customer            |
| Quantity       | Units ordered              |
| Usage quantity | Metered consumption amount |
| Billing period | When usage was billed      |
| Meter ID       | Meter dimension identifier |

#### GCP insights (daily and monthly)

| Field             | Description                 |
| ----------------- | --------------------------- |
| Date              | Reporting date              |
| Active customers  | Count of active subscribers |
| New customers     | New sign-ups in period      |
| Churned customers | Cancelled subscriptions     |
| MRR               | Monthly recurring revenue   |

## Common metric combinations

* **Revenue vs. disbursements**: Join AWS revenue and AWS disbursements to reconcile earnings with payouts
* **Pipeline to closed**: Join opportunities with contracts to track conversion rates from deal stage to signed contract
* **Cross-cloud revenue**: Use Append to combine AWS, Azure, and GCP revenue entities into a single unified revenue table
* **Buyer to contract**: Join buyers with contracts to understand which buyer segments generate the most contract value

## Use cases by role

{% tabs %}
{% tab title="Finance" %}

* Pull AWS and GCP disbursements into Google Sheets or Excel to reconcile marketplace payouts against internal records
* Append Azure and AWS revenue entities to build a single cross-cloud P\&L view
* Use GCP monthly insights to track MRR trends over time in Looker Studio
  {% endtab %}

{% tab title="Sales ops" %}

* Export opportunities and contracts into BigQuery to analyze pipeline conversion rates by marketplace channel
* Monitor private offers alongside contracts to see how custom pricing affects deal close rates
* Use co-sell opportunity entities (AWS and Azure) to report on partner-sourced pipeline performance
  {% endtab %}

{% tab title="Growth & strategy" %}

* Feed GCP daily insights and incremental monthly insights into ChatGPT or Gemini to surface growth trends and anomalies
* Combine buyer data with Azure customer analytics to understand acquisition patterns across cloud channels
* Track listing status across marketplaces to identify which products drive the most contract activity
  {% endtab %}
  {% endtabs %}

## Platform-specific notes

* GCP has two insight cadences — daily and monthly — each with an incremental variant. Use incremental entities for ongoing refreshes to avoid reprocessing the full dataset
* Azure includes a metered usage entity that is only relevant if your Azure listing uses consumption-based billing
* Co-sell opportunity entities are separate from standard opportunities and reflect partner-referred deals specifically
* AWS disbursements and revenue are separate entities and may not match on a 1:1 basis due to marketplace fee timing differences


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