Data coming into your datamart is stored in a multi-model database, optimizing it for different usages. To display performance analytics for elements like session duration, conversions, and funnel, the platform duplicates someuser activitiesand information and optimizes them.
For that purpose, it is important that you use predefined event names and properties when possible. Custom events won't be taken into account when calculating metrics. For example, don't create order events when tracking an e-commerce site, but the predefined$transaction_confirmedevent. $transaction_confirmed events are used when calculating conversions and amounts but not order events.
Here is a sample event that can be used in analytics:
{"$ts": 3489009384393,"$event_name": "$transaction_confirmed",// Conversion detected"$properties": {"$items": [{"$id":"product_ID",// Used to filter in funnel analytics"$qty":20,// Used for conversion amounts"$price":102.8,// Used or conversion amounts"$brand":"Apple"// Used to filter in funnel analytics"$category1": "Category 1",// Used to filter in funnel analytics"$category2":"Category 2",// Used to filter in funnel analytics"$category3":"Category 3",// Used to filter in funnel analytics"$category4":"Category 4"// Used to filter in funnel analytics},{"$id":"product_ID2","$qty":12,"$price":3.4,"$brand":"Microsoft"} ],"$currency":"EUR"}}
The list of predefined events that are used in analytics are as follows.
Event name
Usage
Important properties
$transaction_confirmed
Home dashboards (E-Commerce Engagement)
Segment dashboards (E-Commerce Engagement)
Funnel Analytics
$items : list of products in the transaction
$items.$qty : for the conversion amounts
$items.$price: for the conversion amounts
$items.$id : for the product IDs in funnel analytics
$items.$brand: for the brand filter in funnel analytics
$items.$category1, $items.$category2, $items.$category3 and $items.$category4 : for the categorization in funnel analytics
$item_view
Funnel Analytics
$items : contains only one product
$items.$price: for the conversion amounts
$items.$id : for the product IDs in funnel analytics
$items.$brand: for the brand filter in funnel analytics
$items.$category1, $items.$category2, $items.$category3 and $items.$category4 : for the categorization in funnel analytics
$basket_view
Funnel Analytics
$items : list of products in the basket
$items.$qty : for the conversion amounts
$items.$price: for the conversion amounts
$items.$id : for the product IDs in funnel analytics
$items.$brand: for the brand filter in funnel analytics
$items.$category1, $items.$category2, $items.$category3 and $items.$category4 : for the categorization in funnel analytics
Activities analytics data retention
Activities analytics data is kept 4 month in order to optimize performances.
Transforming important events into your custom events
While it is better to use predefined events when possible, it isn't always the best solution for you. To keep having analytics correctly stored, you can transform your custom events to predefined ones.
Only events coming into the datamart after an event transformation has been defined will be transformed.
Those transformations don't transform user activities and events anywhere else. You should use activity analyzers to transform them everywhere.
Event transformations
An event transformation is linked to a datamart. Here is a sample transformation:
Property
Type
Description
datamart_id
Integer
The ID of the datamart where the transformation is applied
channel_id
Integer
The ID of the channel where the transformation is applied
source_event_name
String
The name of your custom event you wish to transform into a predefined event
target_event_name
String
The name of the predefined event it is transformed into. Allowed values are :
{
"id": 15, // Read only
"datamart_id": "3333", // Read only
"created_ts": <>, // Read only
"created_by": <>, // Read only
"last_modified_by": <>, // Read only
"last_modified_ts": <>, // Read only
"channel_id": "8888",
"source_event_name": "order",
"target_event_name": "$transaction_confirmed",
"mapping_id": 15
}
// Comments are here to help you understand,
// remove them before uploading mappings as they are not accepted in JSON
{
"id": 17, // Read only
"created_by": <>, // Read only
"created_ts": <>, // Read only
"mapping": {
"values": [
{
// Maps $properties.order.order_products[] to $items[]
"target_attribute_name": "$items",
"source_attribute_path": {
"attribute_name": "$properties",
"sub_path": {
"attribute_name": "order",
"sub_path": {
"attribute_name": "order_products"
}
}
},
// Alternative : mapping directly $properties if there are no multiple
// elements in the event. It will be treated as an array of only one item
"target_attribute_name": "$items",
"source_attribute_path": {
"attribute_name": "$properties"
},
// Maps $properties.order.order_products.xxx to $items.xxx
// You can't use other target attributes than the ones
// in this example.
// But they are not all mandatory : a non used target
// attribute will use the default value
"children": [
// $properties.order.order_products.product.id
// becomes $items.$id
// to be used by analytics database
{
"target_attribute_name": "$id",
"source_attribute_path": {
"attribute_name": "product",
"sub_path": {
"attribute_name": "id"
}
}
},
// $properties.order.order_products.qty
// becomes $items.$qty
// to be used by analytics database
{
"target_attribute_name": "$qty",
"source_attribute_path": {
"attribute_name": "qty"
}
},
{
"target_attribute_name": "$price",
"source_attribute_path": {
"attribute_name": "price"
}
},
{
"target_attribute_name": "$ean",
"source_attribute_path": {
"attribute_name": "ean",
}
},
{
"target_attribute_name": "$brand",
"source_attribute_path": {
"attribute_name": "brand",
}
},
{
"target_attribute_name": "$category1",
"source_attribute_path": {
"attribute_name": "cat1"
}
},
{
// In this example $category2 will be
// event.$event_name instead of
// $properties.order.order_products[].$event_name
// thanks to absolute_path
"target_attribute_name": "$category2",
"source_attribute_path": {
"absolute_path": true,
"attribute_name": "$event_name",
}
},
{
"target_attribute_name": "$category3",
"source_attribute_path": {
"attribute_name": "cat3"
}
},
{
"target_attribute_name": "$category4",
"source_attribute_path": {
"attribute_name": "cat4"
}
}
]
}
]
}
}
{
"status": "error",
"error": "Deleting a property mapping used in a transformation is forbidden",
"error_code": "BAD_REQUEST_DATA",
"error_id": "9460be23-0f80-4acb-9a33-dd8a1c5d08a9"
}