> ## Documentation Index
> Fetch the complete documentation index at: https://docs.adriel.com/llms.txt
> Use this file to discover all available pages before exploring further.

# FAQs

> Common questions, expected behaviors, and troubleshooting for the Godomall data source.

## Why don't my Godomall totals match the numbers in my Godomall merchant dashboard?

Godomall's API does not provide pre-aggregated sales analytics, so Adriel reconstructs order, revenue, and product figures from raw order and product records. Because that reconstruction models how the platform reports sales rather than reading a finished report, small differences from a merchant's own dashboard are expected.

A few specific causes are worth checking first:

* **Currency.** Godomall data is denominated in KRW, and no currency conversion is applied. Totals shown in Adriel are the raw KRW amounts.
* **Order status.** Cancelled, refunded, and payment-waiting records are handled separately from completed orders, so a metric that counts only completed orders will differ from a raw total that includes every status.
* **Timing.** Same-day orders and recent status changes may not have synced yet. See the [data reference](/data-sources/g-n/godomall/data-reference) for when data refreshes.

If a genuine discrepancy remains after accounting for these, it can be raised with `support@adriel.com` along with the affected dashboard URL and the Godomall order figures being compared.

## Why is my Godomall historical import only going back 90 days?

Adriel imports up to 90 days of Godomall order history when the data source is first connected. Because Adriel caches the data, the longer the data source stays connected, the more history accumulates beyond that initial window. Orders older than the 90-day window are not retrieved during routine syncs, so a freshly connected data source will not show data from before that boundary.

For a longer historical record, the recommendation is to connect the data source early and leave it connected so the cache continues to grow.

## Why do late cancellations and refunds not show up in my counts?

Each routine sync re-pulls only the orders created or changed in the most recent day. A status transition that happens more than a day after the order was placed — for example a cancellation or refund raised a week later — falls outside that re-fetch window and may not be reflected against the original order.

Reporting over a date range that includes the day the cancellation or refund was recorded is the reliable way to capture it, since the change is picked up when it occurs rather than retroactively across all past orders.

## Why do cancellations and refunds show up as separate rows instead of updating the original order?

To keep the timing of an order and its cancellation accurate, Godomall records a cancellation or refund as its own row rather than editing the original order row. The refund row carries the same base order ID with a suffix that marks it as a refund, and its refund amount is populated while its other monetary fields are zero.

To retrieve the full history of a single order, filter on a partial (contains) match of the order ID rather than an exact match, so both the original row and its cancellation or refund row are returned.

## Can I combine Godomall with non-KRW data sources on the same dashboard?

Godomall revenue is reported in KRW with no currency conversion applied. Placing it on a dashboard alongside data sources reported in another currency mixes currencies in the same widget, so a combined revenue total will not be meaningful without external normalization.

For cross-currency reporting, the safer approach is to keep Godomall revenue in its own widgets, or to normalize currencies outside Adriel before comparing.

## Why don't some orders appear under Product Order metrics?

Product Order metrics link an order to the products it contains, so they only include orders that have at least one matching product record. If a product has since been deleted on Godomall, orders that referenced it may not surface under these metrics, because the product record they depend on no longer exists.

For a complete order or revenue picture that does not depend on product records, the order-level metrics (such as Order Count and Order Amount) are the better choice. Product Order metrics are best reserved for product-level breakdowns.

## Related

<CardGroup cols={2}>
  <Card title="Godomall data reference" href="/data-sources/g-n/godomall/data-reference">
    Metrics, breakdowns, refresh cadence, and limits for the Godomall data source.
  </Card>

  <Card title="How to connect Godomall" href="/data-sources/g-n/godomall/how-to-connect">
    Connect a Godomall mall to Adriel and verify the connection.
  </Card>

  <Card title="Refresh strategies" href="/data-sources/how-data-works/refresh-strategies">
    How and when Adriel refreshes data from connected sources.
  </Card>

  <Card title="Data history and retention" href="/data-sources/how-data-works/data-history-and-retention">
    How far back Adriel imports and how the cache grows over time.
  </Card>
</CardGroup>
