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

# Getting started

> From first login to a fully merchandised, measured storefront.

## 1. Get access

The Depict portal is available to Depict merchants. Log in with the
account credentials provided during onboarding — authentication is handled by
Auth0, and every user is scoped to the merchants they've been granted access
to. If your team needs more seats, contact
[hello@depict.ai](mailto:hello@depict.ai).

## 2. Connect your data

Depict needs two data streams to work well:

* **Catalog data** — products, variants, prices, stock and collections. Follow
  the [data ingestion overview](/data-ingestion-guide/overview-of-data-ingestion)
  and the guide for your platform
  ([Centra](/data-ingestion-guide/centra-setup-guide),
  [Shopify](/data-ingestion-guide/shopify-setup-guide) or a
  [product feed](/data-ingestion-guide/feed-setup-guide)).
* **Behavioural data** — impressions, clicks, add-to-carts and purchases from
  your storefront. This comes from the tracking part of your storefront
  integration and powers every metric in the portal.

<Note>
  Metrics such as CTR, sell-through rate and the conversion funnel only appear
  once tracking events flow in. Expect a few days of data collection before the
  analytics pages are meaningful.
</Note>

## 3. Curate your first collection

Open **Collections**, pick a high-traffic collection and try the editor:

1. Pin your hero products to the top — everything else stays auto-sorted by
   performance.
2. Use bulk actions to pin, hide or reorder many products at once.
3. Save, then check the storefront preview.

See [Collections](/headless/features/collections) for the full editor
reference.

## 4. Measure

* The **Analytics** page gives you the merchant-wide view: revenue, traffic,
  conversion funnel, search insights and which collections are winning or
  declining.
* Each collection has its own analytics drawer with traffic, product health
  and a pinned-vs-auto comparison that tells you whether your manual pins are
  helping or hurting.

From here, iterate: adjust pins where the data says auto-ranking does better,
add [Boost & Bury](/headless/features/boost-and-bury) rules for storewide
pushes, and keep an eye on
[dead stock](/headless/features/collection-analytics#inventory-and-dead-stock).