Measurement by retail channel
The same advertising-factor measurement, broken out by retail channel, from
getCompany.adLift.measurement.advertisingFactors.campaignsRetailPartners. Use
this to attribute a marketing partner's incremental impact to the retailer where
the sales occurred.
Select with measures and dimensions.
Each item is an AdLiftAdvertisingFactorRetailPartnerRecord.
| Field | Description |
|---|---|
reportDate | Date of the measurement period |
marketingPartnerId | Advertising platform identifier assigned by Incremental |
marketingPartnerName | Advertising platform name (e.g., Amazon Advertising, Walmart Connect) |
partnerCampaignId | Campaign ID on the advertising platform |
partnerCampaignName | Campaign display name |
partnerCampaignType | Type of campaign (e.g., SPONSORED_PRODUCTS, DISPLAY) |
partnerCampaignFunnelObjective | Funnel stage: AWARENESS, CONSIDERATION, CONVERSION, or RETENTION |
partnerCampaignTargetingTactic | Targeting approach: BLENDED, BRANDED, CATEGORY, or CONQUEST |
retailPartnerId | Retail partner identifier assigned by Incremental |
retailPartnerName | Retail partner name (e.g., Amazon Seller Central) |
retailer | Retailer value (e.g., AMAZON, WALMART, TARGET) |
spend | Total advertising spend amount |
totalResponse | Incremental sales dollars attributed to this campaign at this retailer |
totalIRoi | totalResponse / spend |
note
All spend and totalResponse values are reported in cents — divide by 100 to
convert to dollars. totalResponse is representative of incremental sales.
query FetchCampaignMeasurementRetailPartnersAnalytics($companyId: ID!) {
getCompany(id: $companyId) {
id
adLift {
measurement {
advertisingFactors {
campaignsRetailPartners(
measures: [SPEND, TOTAL_RESPONSE, TOTAL_I_ROI]
dimensions: [
REPORT_DATE
MARKETING_PARTNER_ID
MARKETING_PARTNER_NAME
PARTNER_CAMPAIGN_ID
PARTNER_CAMPAIGN_NAME
PARTNER_CAMPAIGN_TYPE
PARTNER_CAMPAIGN_FUNNEL_OBJECTIVE
PARTNER_CAMPAIGN_TARGETING_TACTIC
RETAIL_PARTNER_ID
RETAIL_PARTNER_NAME
RETAILER
]
filter: [
{
reportDate: {
between: [
"2025-01-01T00:00:00.000Z"
"2025-01-31T23:59:59.999Z"
]
}
}
]
page: { page: 0, limit: 10 }
sort: [{ sortKey: REPORT_DATE }, { sortKey: PARTNER_CAMPAIGN_ID }]
) {
items {
reportDate
marketingPartnerId
marketingPartnerName
partnerCampaignId
partnerCampaignName
partnerCampaignType
partnerCampaignFunnelObjective
partnerCampaignTargetingTactic
retailPartnerId
retailPartnerName
retailer
spend
totalResponse
totalIRoi
}
pageInfo {
size
page
totalCount
hasNextPage
}
}
}
}
}
}
}
Variables
{
"companyId": "<COMPANY_ID>"
}
Response
{
"data": {
"getCompany": {
"id": "<COMPANY_ID>",
"adLift": {
"measurement": {
"advertisingFactors": {
"campaignsRetailPartners": {
"items": [
{
"reportDate": "2025-01-01",
"marketingPartnerId": "4de0db3a-3f0f-48d9-88ca-23d0313f0c1c",
"marketingPartnerName": "Amazon Advertising",
"partnerCampaignId": "99999999999",
"partnerCampaignName": "Campaign Name",
"partnerCampaignType": "SPONSORED_PRODUCTS",
"partnerCampaignFunnelObjective": "CONVERSION",
"partnerCampaignTargetingTactic": "BLENDED",
"retailPartnerId": "c3963f42-782b-4f2f-b5af-bda351f6aee4",
"retailPartnerName": "Amazon Seller Central",
"retailer": "AMAZON",
"spend": 1000,
"totalResponse": 2000,
"totalIRoi": 2.0
}
],
"pageInfo": {
"size": 10,
"page": 0,
"totalCount": 100,
"hasNextPage": true
}
}
}
}
}
}
}
}