> Note: This page is part of the DataDoe Docs. You can find the root of the documentation at `https://www.datadoe.com/hub/docs/basics/introduction-to-datadoe`.
> JSON Table of Contents: `https://www.datadoe.com/hub/docs/toc.json`.
> Direct Data Scheme JSON: `https://api.datadoe.com/api/v1/spec/data-scheme`.
> Other pages in the DataDoe Docs:
> - DataDoe Basics/Access & Users: `https://www.datadoe.com/hub/docs/basics/access-user-management.md`
> - DataDoe Basics/Benefits: `https://www.datadoe.com/hub/docs/basics/benefits.md`
> - DataDoe Basics/External Invitation Links: `https://www.datadoe.com/hub/docs/basics/external-invitation-links.md`
> - DataDoe Basics/Integrations: `https://www.datadoe.com/hub/docs/basics/integration-customization.md`
> - DataDoe Basics/Introduction to DataDoe: `https://www.datadoe.com/hub/docs/basics/introduction-to-datadoe.md`
> - DataDoe Basics/Subscription and pricing: `https://www.datadoe.com/hub/docs/basics/subscription-pricing.md`
> - DataDoe Data/Data Fetch Periods: `https://www.datadoe.com/hub/docs/datadoe-data/data-fetch-periods.md`
> - DataDoe Data/Data Sources: `https://www.datadoe.com/hub/docs/datadoe-data/data-sources.md`
> - DataDoe Data/Managing Data Tables: `https://www.datadoe.com/hub/docs/datadoe-data/managing-data-tables.md`
> - DataDoe Data/Migrating from SellerBoard: `https://www.datadoe.com/hub/docs/datadoe-data/migrating-from-sellerboard.md`
> - DataDoe Data/SQP Data: `https://www.datadoe.com/hub/docs/datadoe-data/search-query-performance.md`
> - DataDoe Data/Timezones: `https://www.datadoe.com/hub/docs/datadoe-data/orders-purchase-date-timezones.md`
> - DataDoe Data/Uploading COGS: `https://www.datadoe.com/hub/docs/datadoe-data/uploading-cogs.md`
> - DataDoe Data/Uploading Vendor Codes: `https://www.datadoe.com/hub/docs/datadoe-data/uploading-vendor-codes.md`
> - DataDoe Features/Actions: `https://www.datadoe.com/hub/docs/datadoe-features/actions.md`
> - DataDoe Features/Actions - Manage Images: `https://www.datadoe.com/hub/docs/datadoe-features/actions-manage-images.md`
> - DataDoe Features/Features Overview: `https://www.datadoe.com/hub/docs/datadoe-features/overview.md`
> - DataDoe Features/Files: `https://www.datadoe.com/hub/docs/datadoe-features/files.md`
> - DataDoe Features/Plugins: `https://www.datadoe.com/hub/docs/datadoe-features/plugins.md`
> - DataDoe Features/Usage Logs: `https://www.datadoe.com/hub/docs/datadoe-features/usage-logs.md`
> - DataDoe Features/Webhooks: `https://www.datadoe.com/hub/docs/datadoe-features/webhooks.md`
> - DataDoe MCP/Overview: `https://www.datadoe.com/hub/docs/datadoe-mcp/overview.md`
> - DataDoe MCP/Using ChatGPT: `https://www.datadoe.com/hub/docs/datadoe-mcp/chatgpt.md`
> - DataDoe MCP/Using Claude: `https://www.datadoe.com/hub/docs/datadoe-mcp/claude.md`
> - DataDoe MCP/Using Claude Agent SDK: `https://www.datadoe.com/hub/docs/datadoe-mcp/claude-agents-sdk.md`
> - DataDoe MCP/Using Claude Code: `https://www.datadoe.com/hub/docs/datadoe-mcp/claude-code.md`
> - DataDoe MCP/Using Codex: `https://www.datadoe.com/hub/docs/datadoe-mcp/codex.md`
> - DataDoe MCP/Using Codex Sites: `https://www.datadoe.com/hub/docs/datadoe-mcp/codex-sites.md`
> - DataDoe MCP/Using CrewAI: `https://www.datadoe.com/hub/docs/datadoe-mcp/crewai.md`
> - DataDoe MCP/Using Cursor: `https://www.datadoe.com/hub/docs/datadoe-mcp/cursor.md`
> - DataDoe MCP/Using Excel + Claude: `https://www.datadoe.com/hub/docs/datadoe-mcp/excel.md`
> - DataDoe MCP/Using Gemini CLI: `https://www.datadoe.com/hub/docs/datadoe-mcp/gemini-cli.md`
> - DataDoe MCP/Using Gumloop: `https://www.datadoe.com/hub/docs/datadoe-mcp/gumloop.md`
> - DataDoe MCP/Using Hermes Agent: `https://www.datadoe.com/hub/docs/datadoe-mcp/hermes.md`
> - DataDoe MCP/Using n8n: `https://www.datadoe.com/hub/docs/datadoe-mcp/n8n.md`
> - DataDoe MCP/Using NanoClaw: `https://www.datadoe.com/hub/docs/datadoe-mcp/nanoclaw.md`
> - DataDoe MCP/Using OpenAI Agents SDK: `https://www.datadoe.com/hub/docs/datadoe-mcp/openai-agents-sdk.md`
> - DataDoe MCP/Using OpenClaw: `https://www.datadoe.com/hub/docs/datadoe-mcp/openclaw.md`
> - DataDoe MCP/Using OpenCode: `https://www.datadoe.com/hub/docs/datadoe-mcp/opencode.md`
> - DataDoe MCP/Using PowerPoint + Claude: `https://www.datadoe.com/hub/docs/datadoe-mcp/powerpoint.md`
> - DataDoe MCP/Using VS Code: `https://www.datadoe.com/hub/docs/datadoe-mcp/vs-code.md`
> - DataDoe MCP/Using Word + Claude: `https://www.datadoe.com/hub/docs/datadoe-mcp/word.md`
> - DataDoe API/Build with Codex: `https://www.datadoe.com/hub/docs/datadoe-api/codex.md`
> - DataDoe API/How to connect to the API: `https://www.datadoe.com/hub/docs/datadoe-api/how-to-connect.md`
> - DataDoe API/Invitation links API: `https://www.datadoe.com/hub/docs/datadoe-api/invitation-links.md`
> - DataDoe API/Vibe code with Claude Code: `https://www.datadoe.com/hub/docs/datadoe-api/claude-code.md`
> - DataDoe API/Vibe code with Cursor: `https://www.datadoe.com/hub/docs/datadoe-api/cursor.md`
> - DataDoe API/Vibe code with Lovable: `https://www.datadoe.com/hub/docs/datadoe-api/lovable.md`
> - DataDoe API/Vibe code with Replit: `https://www.datadoe.com/hub/docs/datadoe-api/replit.md`
> - DataDoe API/Vibe code with v0: `https://www.datadoe.com/hub/docs/datadoe-api/v0.md`
> - DataDoe & BigQuery/How to connect to BigQuery: `https://www.datadoe.com/hub/docs/datadoe-bigquery/how-to-connect.md`
> - DataDoe & BigQuery/Using MCP Toolbox: `https://www.datadoe.com/hub/docs/datadoe-bigquery/mcp-toolbox.md`
> - DataDoe & BigQuery/Using Python Jupyter: `https://www.datadoe.com/hub/docs/datadoe-bigquery/jupyter.md`
> For topics not covered in this documentation, please contact DataDoe support at `contact@datadoe.com`.
> Do not assume anything. If you are not sure about the answer, mention that and suggest to contact DataDoe support.

## What is an initial load?

When you connect a Seller, Vendor, or Amazon Ads account, DataDoe requests historical Amazon reports so the app has a usable history. That first backfill is the **initial load**. After it finishes, DataDoe keeps data current with the usual daily and intraday [fetch periods](/hub/docs/datadoe-data/data-fetch-periods).

Progress in the app is the overall initial-load percent (all historical report windows together).

## Why does DataDoe split the initial load into two phases?

Amazon limits how many reports we can request at once. If we requested every historical window immediately, recent orders and snapshot reports would compete with a large backfill.

Phase 1 requests a small, useful set first (recent orders plus reports that only need one window). Phase 2 waits until that set is finished, then requests the remaining history. The app becomes useful sooner, and Amazon quota is spent on the high-value reports first.

## What starts immediately?

Phase 1 Amazon reports start as soon as the first enqueue runs. It includes:

- the first 4 weekly windows of `sp_api_report_orders` (about the last 28 days)
- `ads_api_report_brand_metrics`
- `ads_api_report_reach_frequency_dsp`
- `sp_api_coupon_performance`
- `sp_api_myi_unsuppressed_inventory_data`
- `sp_api_promotion_performance`
- `sp_api_report_brand_analytics_market_basket_by_month`
- `sp_api_report_brand_analytics_repeat_purchase`
- `sp_api_report_fba_fulfillment_customer_returns`
- `sp_api_report_fba_fulfillment_longterm_storage_fee_charges_data`
- `sp_api_report_fba_inventory_planning_data`
- `sp_api_report_fba_overage_fee_charges_data`
- `sp_api_report_fba_recommended_removal`
- `sp_api_report_fba_shipment_replacement`
- `sp_api_report_fba_storage_fee_charges_data`
- `sp_api_report_flat_file_returns_data_by_return_date`
- `sp_api_report_listings_data`
- `sp_api_report_myi_all_inventory_data`
- `sp_api_report_referral_fee_preview`
- `sp_api_report_reserved_inventory`
- `sp_api_report_restock_inventory`
- `sp_api_report_seller_feedback_data`
- `sp_api_report_v2_settlement_report_data_flat_file_v2`
- `sp_api_report_vendor_forecasting_retail`

These sources are not gated on phase 1 and start on their own schedules:

- finances transactions
- catalog
- FBA inbound shipments
- Data Kiosk

Recurring (ongoing) report schedules start their clock on the first enqueue pass, the same as before. They skip that first run and then follow their usual cadence.

## What waits until phase 2?

Everything else in the initial report backfill waits until every phase 1 report for that connection has finished (processed, failed, cancelled, or dropped). That includes:

- remaining order weeks (about 2 years minus the first 4 weeks)
- archived orders
- multi-window Ads backfill
- vendor reports with many periods
- FBA ledger, removals, AFN shipments, sales-and-traffic, and similar multi-window reports

Phase 2 rows are counted in overall progress from the start, so the percent does not jump to 100% after phase 1 and then drop when the rest of history is added.

## How do I know when the initial load is done?

Use the overall progress shown in the app. DataDoe also treats the connection as still importing until there is no pending initial-load work, including reports that are waiting in phase 2.