DataLayer collector
Luigi's Box leverages Google Analytics' ecommerce events for efficient data collection. In simple terms, the process involves the collector monitoring the dataLayer object and gathering all pertinent events that are pushed. If you are not currently pushing ecommerce events to the dataLayer, there are two methods to implement this:
Using gtag manager: Utilize the gtag manager to seamlessly push ecommerce events to the dataLayer.
Using native
dataLayer.push
method: Alternatively, employ the nativedataLayer.push
method to achieve the same outcome of logging events to the dataLayer.
Both options yield equivalent results, as they effectively record events in the dataLayer, which the collector can subsequently access. It's worth noting that there is a slight disparity in the structure of events within the dataLayer object between the two methods, but the collector is designed to interpret both seamlessly.
Collector initialization
Collector script will be added via LBX script. Please insert the LBX script to the <head>
element of each page.
<script async src="https://scripts.luigisbox.com/LBX-XXXXXX.js"></script>
Collector option parameters breakdown
Parameter | Description |
---|---|
GetCookieConsent |
A function that returns a boolean value indicating whether the user has granted cookie consent. |
customDataLayerName |
The name of the object where the collector should look for ecommerce events. |
Event parameters breakdown
This section outlines event paramteres related to ecommerce events. When reporting events, include the necessary fields based on the specific context.
Parameter | Description |
---|---|
event |
The name of the event. Supported event names are: view_item_list select_item , add_to_cart , purchase . |
item_list_name |
Name of the reported list. Supported list names are: Autocomplete , Search Results , Recommendation . |
items |
An array containing list results. |
item_id |
Identifier of an item within the reported list. |
item_name |
Name of an item within the reported list. |
index |
Position of an item within the reported list. |
price |
Price of an item within the reported list. |
query |
The query that the user entered (required only for search results and autocomplete). |
filters |
Object containing filter name(s) with their respective value(s). When a single filter has multiple values, you can include all values at once in an array. |
transaction_id |
The unique identifier of a transaction. |
value |
The monetary value of the event. |
currency |
Currency of the items associated with the event, in 3-letter ISO 4217 format. |
Event examples
The collector is equipped to read and interpret data from the following ecommerce events. Please be aware that the examples use a structure that represents the minimum required parameters. If you choose to include additional parameters for your own needs, it is completely acceptable.
Autocomplete example
Luigis box's collector utilizes view_item_list
ecommerce event to gather a list of autocomplete results that a user is presented with.
window.dataLayer.push({
event: "view_item_list",
ecommerce: {
item_list_name: "Autocomplete",
search_term: "phone",
items: [
{
item_id: "SKU_12345",
item_name: "Stan and Friends Tee",
index: 0,
price: 9.99,
},
{
item_id: "SKU_12346",
item_name: "Google Grey Women's Tee",
index: 1,
price: 20.99,
}
],
filters: {
"Color": ["Black", "Silver"],
"Operating system": "Android"
}
},
});
gtag alternative
gtag("event", "view_item_list", {
item_list_id: "autocomplete",
item_list_name: "Autocomplete",
search_term: "Phone",
items: [
{
item_id: "SKU_12345",
item_name: "Stan and Friends Tee",
index: 0,
price: 9.99,
},
{
item_id: "SKU_12346",
item_name: "Google Grey Women's Tee",
index: 1,
price: 20.99,
}
],
filters: {
"Color": ["Black", "Silver"],
"Operating system": "Android"
}
});
Search example
Luigis box's collector utilizes view_item_list
ecommerce event to gather a list of search results that a user is presented with.
window.dataLayer.push({
event: "view_item_list",
ecommerce: {
item_list_name: "Search Results",
search_term: "Phone",
items: [
{
item_id: "SKU_12345",
item_name: "Stan and Friends Tee",
index: 0,
price: 9.99,
},
{
item_id: "SKU_12346",
item_name: "Google Grey Women's Tee",
index: 1,
price: 20.99,
}
],
filters: {
"Color": ["Black", "Silver"],
"Operating system": "Android"
}
}
});
gtag alternative
gtag("event", "view_item_list", {
item_list_name: "Search Results",
search_term: "Phone",
items: [
{
item_id: "SKU_12345",
item_name: "Stan and Friends Tee",
index: 0,
price: 9.99,
},
{
item_id: "SKU_12346",
item_name: "Google Grey Women's Tee",
index: 1,
price: 20.99,
}
],
filters: {
"Color": ["Black", "Silver"],
"Operating system": "Android"
}
});
Recommender example
Luigis box's collector utilizes view_item_list
ecommerce event to gather a list of recommender results that a user is presented with.
window.dataLayer.push({
event: "view_item_list",
ecommerce: {
item_list_name: "Recommendation",
items: [
{
item_id: "SKU_12345",
item_name: "Stan and Friends Tee",
index: 0,
price: 9.99,
},
{
item_id: "SKU_12346",
item_name: "Google Grey Women's Tee",
index: 1,
price: 20.99,
}
],
filters: {
"RecommenderClientId": "Basket",
"ItemIds": ["/products/123", "/products/129"]
}
}
});
gtag alternative
gtag("event", "view_item_list", {
item_list_name: "Recommendation",
items: [
{
item_id: "SKU_12345",
item_name: "Stan and Friends Tee",
index: 0,
price: 9.99,
},
{
item_id: "SKU_12346",
item_name: "Google Grey Women's Tee",
index: 1,
price: 20.99,
}
],
filters: {
"RecommenderClientId": "Basket",
"ItemIds": ["/products/123", "/products/129"]
}
});
For the recommendation, you can use the following filters (and you must always include at least RecommenderClientId
):
Filter name | Filter value |
---|---|
RecommenderClientId REQUIRED
|
Unique identifier of the recommender (recommender_client_identifier from recommendation result). Its value should define type of recommender user along with its position on the site (e.g., product_detail_bottom_alternatives ). |
ItemIds optional
|
List of input items of a recommendation request (item_ids from recommendation request). |
Recommender optional
|
Name of the recommender (recommender from recommendation result). |
Type optional
|
Type of the recommender (recommendation_type from recommendation result). |
_Variant optional
|
Determines variant in A/B |
No results example
When your search returns no results, you need to add push an event to dataLayer
anyway. You must add parameters for the query, the used filters and the search name (Search Results/Autocomplete). Since your search returned no results, set items to empty array.
window.dataLayer.push({
event: "view_item_list",
ecommerce: {
item_list_name: "Search Results",
search_term: "Phone",
items: [],
filters: {
"Color": ["Burgundy"],
"Operating system": "Android"
}
}
});
gtag alternative
gtag("event", "view_item_list", {
item_list_name: "Search Results",
search_term: "Phone",
items: [],
filters: {
"Color": "Yellow"
}
});
Click example
Luigis box's collector utilizes select_item
ecommerce event to collect a click action that was performed on a result.
window.dataLayer.push({
event: "select_item",
ecommerce: {
items: [
{
item_id: "SKU_12345",
}
]
}
});
gtag alternative
gtag("event", "select_item", {
items: [
{
item_id: "SKU_12345",
}
]
});
Add to cart example
Luigis box's collector utilizes add_to_cart
ecommerce event to collect a click action that was performed on a result.
window.dataLayer.push({
event: "add_to_cart",
ecommerce: {
currency: "EUR",
value: 7.77,
items: [
{
item_id: "SKU_12345",
}
]
}
});
gtag alternative
gtag("event", "add_to_cart", {
currency: "EUR",
value: 7.77,
items: [
{
item_id: "SKU_12345",
}
]
});
Transaction example
Luigis box's collector utilizes purchase
ecommerce event to collect a click action that was performed on a result.
window.dataLayer.push({
event: "purchase",
ecommerce: {
transaction_id: "T_12345",
value: 25.42,
currency: "EUR",
items: [
{
item_id: "SKU_12345",
item_name: "Stan and Friends Tee",
index: 0,
price: 9.99,
quantity: 1
},
{
item_id: "SKU_12346",
item_name: "Google Grey Women's Tee",
index: 1,
price: 20.99,
quantity: 1
}
]
}
});
gtag alternative
gtag("event", "purchase", {
transaction_id: "T_12345",
value: 25.42,
currency: "EUR",
items: [
{
item_id: "SKU_12345",
item_name: "Stan and Friends Tee",
index: 0,
price: 9.99,
quantity: 1
},
{
item_id: "SKU_12346",
item_name: "Google Grey Women's Tee",
index: 1,
price: 20.99,
quantity: 1
}
]
});
Impression example
Luigis box's collector utilizes view_item
ecommerce event to collect an item impression, when the product detail page is visited.
window.dataLayer.push({
event: "view_item",
ecommerce: {
items: [
{
item_id: "SKU_12345",
}
]
}
});
gtag alternative
gtag("event", "view_item", {
items: [
{
item_id: "SKU_12345",
}
]
});
User identifiers
By default Luigi's Box Search Analytics script assigns each user a unique identifier and saves it in a _lb
cookie. We use this cookie to count various usage metrics in Luigi's Box application and it serves also as a basis for personalization of search and recommendation services. However, there are some use cases when it might be better to use your own unique user identifiers:
- If you would like to integrate Luigi's Box Search as a Service with personalization enabled or Recommender on backend without using our JavaScript libraries, using you own unique user identifiers enables you to use the services up to their full potential by sending user identifier also for the first visit of a user, when you do not have our
_lb
cookie identifier available on your backend. - If you know that most or all of your users are logged in while browsing your site, you may leverage your user identifiers to get insight into their behavior cross-device.
If you would like to set your own unique user identifiers, you can send a luigisbox.collector.customer_id
event to the dataLayer
as shown below:
window.dataLayer.push({
event: 'luigisbox.collector.customer_id',
customer_id: "12345"; // Replace with the actual ID
},
});
If the luigisbox.collector.customer_id
event is not sent, the default behavior will apply. In this case, Luigi's Box Search Analytics will automatically assign a unique identifier using the _lb
cookie as described earlier.
Troubleshooting
While you are developing the integration, we recommend that you turn on data linter to see debugging information. Make sure that Luigi's Box integration script is included in the page and then, in your web browser, open the developer console (usually by pressing the F12 key), find the "Console" tab and type in the following command: Luigis.lint = true
After that, reload the page, but do not close the developer console. Each time, the integration collects search-related data, you will see what was parsed from your site and you'll get a report about data quality in the console tab of the developer tools.
If you've done everything correctly, you should see a blue Luigi's Box logo. If there were some problems with the data, you will see a red logo and a list of errors.
If you are not seeing the linter messages and logos, the most probable cause is that you are already running an early version of integration that does not support linting. Let us know and we will upgrade your integration.
Support
Troubles? Different nesting? Cannot get it to work? Contact us at support@luigisbox.com, we are glad to help!