ICON connects one verified seller Identity with governed seller Context (Attributes and Signals), and serves both to downstream teams through one Nexus. Find the data, pick the Fields, build an audience, and track your request, all in one place.
Identity says who the seller is. Context says what we know. The Nexus makes both reusable for every downstream team.
Good Contact resolves WeChat UID, MCID and channel identifiers across touchpoints into a single persistent seller profile.
The Library organizes seller context into Attributes (what is true or observed) and Signals (what models and Gen AI infer), each Field in exactly one L3 or L4 node.
Pick Fields in Mart, circle an audience in Selector, and request delivery. Downstream teams reuse instead of rebuilding.
Where today's Mart items and Library Fields sit. Click an L2 node to open the Library.
Pick a goal, ICON takes you to the right page.
Browse the catalog tree. Every leaf is a Field; the number on each node is how many Fields sit under it.
Is the Library ready to be reused? Library size by Object, L3 coverage, Field-level checks, and Selector coverage. All numbers are computed live from the current Library and Mart.
Library = Fields placed in the L3 node. Mart = items already assigned to it. An L3 node with Mart items but no Field is the next to build.
Structural checks only: names in both languages, Object and Source recorded, created date recorded, unique Value IDs, at least 2 Values. Content quality (accuracy, adoption, confidence) is not measured yet; it needs usage and feedback data.
The Selector reads the Library directly: only Fields with Object = Seller and at least one Value can be used to build an audience. Fields of other Objects, and Fields without Values yet, are listed here as not selectable.
Every card is a Field. Pick an L3 or L4 node on the left; add the ones you need to the cart.
Arrives as a number. A count, amount, rate or score that can be summed, averaged or compared over time.
e.g. 3P ordered GMS (USD), SP Ad Spend, Average CDQ Score
Arrives as a label. A category, band, flag, text or date that says who or what the seller is; used to filter and group.
e.g. Seller Type, GMS Band, Seller Launch Date
The mark is original, never processed. It is set from how the value lands in the source table, not from how we might use it later. Mart never turns a Metric into a Tag (no banding, thresholds, ratios or rollups); anything that needs processing is requested in the cart as 需加工 and is not a Mart item.
Track the progress of your data requests. Admins can move a request through the flow.
Build a seller audience from the Library: click a tag once to include, twice to exclude. Counts update live for the current audience.
Standardized Seller Data (metrics, tags, etc.) will be provided centrally from a single source of truth through ICON's API service. The diagram below shows which Amazon applications are already leveraging ICON's API service and which are planned to connect.
For each Field choose how you want it: as-is (原始值), or needs processing (需加工). Processing can combine several Fields from this cart.