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The Engage Data product provides a comprehensive view of customer engagement and communication activities. It organizes key information such as contact interactions, email preferences, message performance (like clicks and opens), product views, abandoned carts, and promotional participation. It also includes insights into audience targeting, receipts, and consent management. With Engage Data you can analyze customer behavior, refine marketing strategies, and improve overall communication effectiveness, through a centralized and structured data source. Some use cases areas:
  • Analyzing customer engagement to understand interactions, identify effective strategies, and discover opportunities for improvement
  • Optimizing marketing strategies by using data insights to tailor campaigns, target specific audiences, and maximize ROI
  • Managing customer communication by handling consent efficiently, ensuring compliance, and maintaining clear and consistent messaging

AbandonedCart

Tenant column:tenantId
Description: The table contains data related to abandoned shopping carts on our website. It captures information such as the contact ID of the user, the reference number of the cart, the timestamp of when the cart was abandoned, the session ID, whether it was a new session or not, the user agent used, the referral source, the URL of the page where the cart was abandoned, the SKU of the product in the cart, the quantity of the product, the URL of the cart page, the tenant ID, and the timestamp of when the data was imported. This table is valuable for analyzing user behavior and identifying potential issues in the checkout process.
Column nameType
contactIdSTRING
cartreferenceSTRING
timeTIMESTAMP
sessionSTRING
newsessionBOOLEAN
useragentSTRING
referredSTRING
urlSTRING
skuSTRING
quantityINT
carturlSTRING
tenantIdSTRING
ImportDateTimeTIMESTAMP

ArticleLatest

Tenant column:tenantId
Description: The table contains information about articles, including their unique identifiers, names, and associated stock keeping units (SKUs). It also tracks modifications, eligibility for bonus awards, and the type of changes made to each article. This data can be used for inventory management, reporting on article performance, and analyzing changes over time. Additionally, it includes timestamps for when articles were last modified and exported for Business Intelligence purposes.
Column nameType
articleIdSTRING
skuSTRING
articleNameSTRING
articleNumberSTRING
articleGroupNameSTRING
modifiedDateTimeTIMESTAMP
awardsBonusBOOLEAN
spare1STRING
spare2STRING
spare3STRING
spare4STRING
spare5STRING
spare6STRING
spare7STRING
spare8STRING
spare9STRING
spare10STRING
changeTypeSTRING
filenameSTRING
biExportDateTIMESTAMP
ImportDateTimeTIMESTAMP
tenantIdSTRING
ImportDateDATE
itemNumberSTRING
brandSTRING
colorSTRING
sizeSTRING
mainCategorySTRING
productCategorySTRING
subCategorySTRING
ageGroupSTRING
genderSTRING
descriptionSTRING
seasonSTRING
eanSTRING
gtinSTRING
isStubSTRING
tenant_idSTRING

ConsentLatest

Tenant column:tenantId
Description: The table contains records of consent given by contacts, including details such as the contact identifier, consent status, and timestamps for when consent was given and when the record was imported. This data can be used to track consent compliance, analyze consent trends over time, and manage contact preferences effectively.
Column nameType
idSTRING
contactIdSTRING
aliasSTRING
valueBOOLEAN
consentDateTimeTIMESTAMP
sourceSTRING
commentSTRING
biExportDateTIMESTAMP
ImportDateTimeTIMESTAMP
tenantIdSTRING
filenameSTRING
ImportDateDATE
tenant_idSTRING

ContactsLatest

Tenant column:tenantId
Description: The table contains detailed information about contacts, including their demographics, communication preferences, and engagement metrics. It can be used to analyze contact approval status, communication acceptance, and demographic distribution. Additionally, the RFM scores and NPS grades can help in understanding contact value and satisfaction levels, which can inform marketing strategies and customer relationship management.
Column nameType
contactIdSTRING
contactTypeSTRING
isApprovedBOOLEAN
isDeletedBOOLEAN
genderSTRING
ageINT
zipCodeSTRING
citySTRING
countryCodeSTRING
acceptsEmailBOOLEAN
acceptsSmsBOOLEAN
acceptsPostalBOOLEAN
statusEmailSTRING
statusSmsSTRING
statusPostalSTRING
rfmDOUBLE
recencyINT
frequencyINT
monetaryINT
latestNpsGradeINT
latestNpsDateTimeTIMESTAMP
registrationDateTimeTIMESTAMP
lastModifiedDateTimeTIMESTAMP
deletedDateTimeTIMESTAMP
deletedReasonSTRING
purchaseAmountTotalDOUBLE
numberOfArticlesTotalDOUBLE
averageReceiptTotalDOUBLE
latestReceiptDateTimeTIMESTAMP
purchaseFrequencyTotalDOUBLE
purchaseAmount12monthsDOUBLE
numberOfArticles12MonthsDOUBLE
averageReceipt12MonthsDOUBLE
purchaseFrequency12monthsDOUBLE
recruitedStoreIdSTRING
currentStoreIdSTRING
changeTypeSTRING
filenameSTRING
biExportDateTIMESTAMP
ImportDateTimeTIMESTAMP
tenantIdSTRING
ImportDateDATE
emailSTRING
mobilePhoneSTRING
firstNameSTRING
lastNameSTRING
externalIdSTRING
creationTimeTIMESTAMP
streetSTRING
countrySTRING
bonusPointsDOUBLE
socialSecurityNumberSTRING
bonusPointsModifiedOnTIMESTAMP
careOfSTRING
secrecyMarkedSTRING
memberNumberSTRING
sourceSTRING
canReceiveEmailBOOLEAN
canReceiveSmsBOOLEAN
canReceivePostalBOOLEAN
birthDateSTRING
isClearedAfterDeletionBOOLEAN
tenant_idSTRING

DeliveredMessageLatest

Tenant column:tenantId
Description: The table contains data related to delivery events, including details about each delivery, associated messages, and contacts. It records timestamps for delivery and import events, as well as identifiers for tenants and files. This data can be used to track delivery performance, analyze changes over time, and support business intelligence efforts.
Column nameType
deliveryIdSTRING
messageIdSTRING
contactIdSTRING
deliveryDateTimeTIMESTAMP
changeTypeSTRING
filenameSTRING
biExportDateTIMESTAMP
ImportDateTimeTIMESTAMP
tenantIdSTRING
ImportDateDATE
deliveryYearMonthDateSTRING

EmailUnsubscribeLatest

Tenant column:tenant_id Description: The table contains data related to message delivery events, including details about delivery attempts and bounce types. It can be used to analyze delivery performance, track issues with message bounces, and understand the timing of events. Key information includes identifiers for deliveries and messages, timestamps for event occurrences, and the type of bounce that occurred.
Column nameType
delivery_idSTRING
message_idSTRING
EventTimeTIMESTAMP
BounceTypeSTRING
contact_idSTRING
tenant_idSTRING
LinkIdSTRING
kafka_timestampTIMESTAMP
import_date_timeTIMESTAMP
event_year_month_dateSTRING

LabelLatest

Tenant column:tenantId
Description: The table contains records related to data imports for various tenants. It includes details such as the unique identifier for each record, the type of data, and the name associated with the record. Additionally, it tracks timestamps for when the data was imported and exported for business intelligence purposes, as well as the filename from which the data was sourced. This table can be used to monitor data import activities, analyze import trends, and manage tenant-specific data effectively.
Column nameType
idSTRING
typeSTRING
nameSTRING
tenantIdSTRING
biExportDateTIMESTAMP
ImportDateTimeTIMESTAMP
ImportDateDATE
filenameSTRING
tenant_idSTRING

LabelsToTaggedContactLatest

Tenant column:tenant_id Description: The table contains data related to imported files associated with contacts. It includes unique identifiers for both labels and contacts, as well as timestamps for when the data was imported. This information can be used to track the import process, manage data associated with specific contacts, and analyze the timing of data imports.
Column nameType
label_idSTRING
contact_idSTRING
filenameSTRING
ImportDateTimeTIMESTAMP
tenant_idSTRING
ImportDateDATE
import_date_timeTIMESTAMP

MessageClickLatest

Tenant column:tenantId
Description: The table contains data related to user clicks on messages. It includes details such as the unique identifiers for clicks, messages, and deliveries, as well as timestamps for when clicks and imports occurred. This data can be used to analyze user engagement with messages, track the performance of different messages, and understand user behavior based on the device used for clicks.
Column nameType
clickIdINT
messageIdSTRING
deliveryIdSTRING
clickDateTimeTIMESTAMP
urlSTRING
changeTypeSTRING
filenameSTRING
biExportDateTIMESTAMP
tenantIdSTRING
tenant_idSTRING
ImportDateTimeTIMESTAMP
clickYearMonthDateSTRING
ImportDateDATE
contactIdSTRING
userAgentSTRING
messageClassSTRING
emailSTRING

MessageControlGroupLatest

Tenant column:tenantId
Description: The table contains data related to message control groups and their associated messages. It includes identifiers for messages and contacts, details about changes made to messages, and timestamps for import and export activities. This data can be used to track message processing, analyze changes over time, and support business intelligence efforts.
Column nameType
messageControlGroupIdINT
messageIdSTRING
contactIdSTRING
changeTypeSTRING
filenameSTRING
biExportDateTIMESTAMP
ImportDateTimeTIMESTAMP
tenantIdSTRING
ImportDateDATE
tenant_idSTRING

MessageLatest

Tenant column:tenantId
Description: The table contains information about messages that are scheduled to be sent, including their status, recipient details, and associated workflows. Use cases include tracking message delivery, analyzing the effectiveness of different messaging channels, and managing transactional messages. It also provides insights into control groups and the timing of message imports and exports for business intelligence.
Column nameType
messageIdSTRING
messageNameSTRING
subjectSTRING
statusSTRING
scheduledDateTimeTIMESTAMP
recipientCountINT
channelSTRING
sendListSTRING
messageSourceSTRING
isTransactionalBOOLEAN
controlGroupPercentDOUBLE
senderStoreIdSTRING
changeTypeSTRING
filenameSTRING
biExportDateTIMESTAMP
ImportDateTimeTIMESTAMP
tenantIdSTRING
ImportDateDATE
workflowIdSTRING
workflowActivityIdSTRING
isWorkflowTemplateBOOLEAN
workflowMessageIdSTRING
tenant_idSTRING

MessageOpenLatest

Tenant column:tenantId
Description: The table contains data related to message open events. It includes details such as the unique identifiers for messages and deliveries, timestamps for when messages were opened and imported, and information about the user’s device. This data can be used to analyze user engagement with messages, track the performance of different message types, and understand trends over time.
Column nameType
openIdINT
messageIdSTRING
deliveryIdSTRING
openDateTimeTIMESTAMP
userAgentSTRING
changeTypeSTRING
filenameSTRING
biExportDateTIMESTAMP
tenantIdSTRING
tenant_idSTRING
ImportDateTimeTIMESTAMP
openYearMonthDateSTRING
ImportDateDATE
contactIdSTRING
messageClassSTRING
emailSTRING

NPSResponseLatest

Tenant column:tenant_id Description: The table contains records related to contacts associated with various stores. It includes information such as unique identifiers for contacts and stores, the date and time of record creation and import, and the grade or rating given by the contact. This data can be used to track contact interactions, analyze feedback trends, and monitor changes over time.
Column nameType
contact_idSTRING
store_idSTRING
created_date_timeTIMESTAMP
create_dateDATE
gradeSTRING
changeTypeSTRING
tenant_idSTRING
import_date_timeTIMESTAMP

ProductView

Tenant column:tenantId
Description: The table captures data related to product views by users. It includes information such as the unique identifier for the contact, product category, SKU, and timestamps for when the product was viewed and when the data was imported. This data can be used to analyze user engagement with products, track session behaviors, and understand referral sources.
Column nameType
contactIdSTRING
categorySTRING
skuSTRING
timeTIMESTAMP
sessionSTRING
newsessionBOOLEAN
useragentSTRING
referredSTRING
urlSTRING
tenantIdSTRING
ImportDateTimeTIMESTAMP

PromotionLatest

Tenant column:tenantId
Description: The table contains information about promotions, including their identifiers, names, types, and validity periods. It also tracks changes made to promotions, such as creation, modification, and deletion dates. This data can be used for analyzing promotion effectiveness, managing promotional campaigns, and integrating with external systems.
Column nameType
promotionIdSTRING
promotionNameSTRING
promotionTypeSTRING
validFromDateTimeTIMESTAMP
validToDateTimeTIMESTAMP
externalPromotionCodeSTRING
externalIdSTRING
createdOnDateTimeTIMESTAMP
changedOnDateTimeTIMESTAMP
deletedOnDateTimeTIMESTAMP
changeTypeSTRING
filenameSTRING
biExportDateTIMESTAMP
ImportDateTimeTIMESTAMP
tenantIdSTRING
ImportDateDATE
tenant_idSTRING

PromotionRecipientLatest

Tenant column:tenantId
Description: The table contains information about promotion recipients, including whether the promotion was used, where it was used, usage timestamps, validity period, value and value type, and receipt linkage.
Column nameType
promotionRecipientIdSTRING
promotionIdSTRING
contactIdSTRING
isUsedSTRING
usedInStoreSTRING
usageDateTimeTIMESTAMP
validFromDateTimeTIMESTAMP
validToDateTimeTIMESTAMP
createdOnDateTimeTIMESTAMP
receiptExternalIdSTRING
valueSTRING
valueTypeSTRING
changeTypeSTRING
filenameSTRING
biExportDateTIMESTAMP
ImportDateTimeTIMESTAMP
tenantIdSTRING
ImportDateDATE
tenant_idSTRING

ReceiptItemsLatest

Tenant column:tenantId
Description: The table contains detailed information about receipt items from transactions. It includes identifiers for receipts, contacts, and stores, as well as transaction timestamps. Key data points include article details such as SKU, quantity purchased, pricing information, discounts, and tax percentages. This table can be used for analyzing sales performance, understanding customer purchasing behavior, and evaluating pricing strategies.
Column nameType
receiptItemIdSTRING
receiptIdSTRING
contactIdSTRING
storeIdSTRING
transactionDateTimeTIMESTAMP
typeSTRING
skuSTRING
articleNumberSTRING
quantityINT
grossPaidPriceDOUBLE
grossPaidPricePerUnitDOUBLE
localPriceDOUBLE
localCurrencySTRING
discountsDOUBLE
discountPercentDOUBLE
marginPercentSTRING
taxPercentDOUBLE
articleNameSTRING
articleGroupSTRING
articleSpare1STRING
articleSpare2STRING
articleSpare3STRING
articleSpare4STRING
articleSpare5STRING
articleSpare6STRING
articleSpare7STRING
articleSpare8STRING
articleSpare9STRING
articleSpare10STRING
articleDateSpare1STRING
articleDateSpare2STRING
articleDateSpare3STRING
articleDateSpare4STRING
articleDateSpare5STRING
awardsBonusBOOLEAN
changeTypeSTRING
filenameSTRING
biExportDateTIMESTAMP
ImportDateTimeTIMESTAMP
tenantIdSTRING
ImportDateDATE
transactionYearMonthDateSTRING
tenant_idSTRING

ReceiptsLatest

Tenant column:tenantId
Description: The table contains detailed information about receipts generated from transactions. It includes unique identifiers for receipts, contacts, and stores, as well as financial details such as total gross price, local price, and quantities of items purchased and returned. This data can be used for analyzing sales performance, tracking returns, and understanding customer purchasing behavior over time.
Column nameType
receiptIdSTRING
contactIdSTRING
storeIdSTRING
storeExternalIdSTRING
receiptNumberSTRING
totalGrossPriceDOUBLE
totalQuantityINT
totalReturnedDOUBLE
totalLocalPriceDOUBLE
exchangeRateDOUBLE
localCurrencySTRING
numberOfItemsINT
numberOfPurchasesINT
numberOfReturnsINT
createdOnDateTimeTIMESTAMP
externalIdSTRING
changeTypeSTRING
filenameSTRING
biExportDateTIMESTAMP
ImportDateTimeTIMESTAMP
tenantIdSTRING
ImportDateDATE
createdOnYearMonthDateSTRING
tenant_idSTRING

SavedSearchLatest

Tenant column:tenantId
Description: The table contains information about saved searches, including their identifiers, names, timestamps for creation, modification, deletion, and flags used for targeting audiences.
Column nameType
savedSearchIdSTRING
savedSearchNameSTRING
createdOnDateTimeTIMESTAMP
changedOnDateTimeTIMESTAMP
deletedOnDateTimeTIMESTAMP
changeTypeSTRING
filenameSTRING
biExportDateTIMESTAMP
ImportDateTimeTIMESTAMP
tenantIdSTRING
ImportDateDATE
savedSearchIsTargetAudienceBOOLEAN
tenant_idSTRING

StoreLatest

Tenant column:tenantId
Description: The table contains information about stores, including their locations, status, and identifiers. It can be used to track store details such as whether they are active or deleted, analyze store distribution by city or country, and manage data imports and exports for business intelligence. This data is useful for operational reporting, location analysis, and understanding store performance.
Column nameType
storeIdSTRING
nameSTRING
isDeletedBOOLEAN
citySTRING
countrySTRING
zipCodeSTRING
streetSTRING
regionSTRING
externalIdSTRING
typeSTRING
activeBOOLEAN
changeTypeSTRING
filenameSTRING
biExportDateTIMESTAMP
ImportDateTimeTIMESTAMP
tenantIdSTRING
ImportDateDATE
tenant_idSTRING

TargetAudienceContactLatest

Tenant column:tenantId
Description: The table contains data related to target audience contacts, including their identifiers, associated saved searches, and timestamps for various events such as import and export. Use cases include tracking changes to target audience contacts, analyzing the timing of contact imports and exports, and managing audience segmentation based on the saved searches.
Column nameType
targetAudienceContactIdSTRING
savedSearchIdSTRING
contactIdSTRING
startDateTimeTIMESTAMP
endDateTimeTIMESTAMP
changeTypeSTRING
filenameSTRING
biExportDateTIMESTAMP
ImportDateTimeTIMESTAMP
tenantIdSTRING
ImportDateDATE
tenant_idSTRING