Revenue
Revenue
This article contains SQL queries to create Snowflake dashboard tiles to report on the following metrics:
To learn how you can create custom dashboards in Snowflake and use the queries listed in this section, see Create Snowflake dashboards.
Revenue per service
This query creates a Snowflake dashboard tile that displays the revenue (including taxes, shipping costs and discounts) earned by each Coveo service (i.e., Search, Listing and Recommendation):
with transaction_base as (
select distinct
tr.organization_id,
date(tr.transaction_timestamp) as date,
tr.visit_id,
c.insight_id,
ins.insight_type,
tr.transaction_id,
c.item_id,
c.price*c.quantity as item_revenue,
try_to_number(round(coalesce(tr.base_total, tr.total),3),38,3) as trans_total,
sum(item_revenue) over (partition by tr.organization_id, tr.transaction_id) as total_revenue,
round(div0(trans_total, total_revenue) * item_revenue, 3) as normalized_revenue
from COVEO_CORE_MODEL_V001.COMMERCE.TRANSACTIONS tr
join COVEO_CORE_MODEL_V001.COMMERCE.CART_ITEMS c on c.cart_id = tr.cart_id
join COVEO_CORE_MODEL_V001.COMMON.INSIGHTS ins on ins.insight_id = c.insight_id
where date = :daterange
and item_id is not null
)
select distinct
insight_type,
sum(normalized_revenue) as normalized_revenue
from transaction_base tb
group by insight_typeWhen using the default query, your dashboard should look like the following:
The Chart type, Data, and Appearance sections should look like the following. See Using charts for more information.
Revenue per service on a daily basis
This query creates a Snowflake dashboard tile that displays the revenue earned by each Coveo service (i.e., Search, Listing and Recommendation) on a daily basis:
with transaction_base as (
select distinct
tr.organization_id,
date(tr.transaction_timestamp) as date,
c.insight_id,
ins.insight_type,
tr.transaction_id,
c.item_id,
c.price*c.quantity as item_revenue
from COVEO_CORE_MODEL_V001.COMMERCE.TRANSACTIONS tr
join COVEO_CORE_MODEL_V001.COMMERCE.CART_ITEMS c on c.cart_id = tr.cart_id
join COVEO_CORE_MODEL_V001.COMMON.INSIGHTS ins on ins.insight_id = c.insight_id
where date = :daterange
)
select distinct
date,
insight_type,
sum(item_revenue) as total_revenue
from transaction_base
group by date, insight_type
order by total_revenue desc
limit 10When using the default query, your dashboard should look like the following:
The Chart type, Data, and Appearance sections should look like the following. See Using charts for more information.
Total revenue
The total revenue is calculated by adding up the revenue from every product sold in each purchase event given a specific time range.
The query in this section creates a Snowflake dashboard tile that reports on the different Coveo services' components.
|
Note
A Coveo service component refers to a specific instance exploited by a Coveo service. For example, you can have many components that leverage the Recommendation service:
In this case, the dashboard will report on these three different components. |
The code sample below serves as a base to get the total revenue metric for different Coveo components. Copy the query below and paste it in Snowflake. Don’t forget to add the required information, depending on which Coveo service’s component you want to report on.
with transaction_base as (
select distinct
tr.organization_id,
date(tr.transaction_timestamp) as date,
c.insight_id,
ins.insight_type,
tr.transaction_id,
c.item_id,
c.price*c.quantity as item_revenue
from COVEO_CORE_MODEL_V001.COMMERCE.TRANSACTIONS tr
join COVEO_CORE_MODEL_V001.COMMERCE.CART_ITEMS c on c.cart_id = tr.cart_id
join COVEO_CORE_MODEL_V001.COMMON.INSIGHTS ins on ins.insight_id = c.insight_id
where date = :daterange
)
select distinct
insight_type,
sum(item_revenue) as total_revenue
from transaction_base
group by insight_type
order by total_revenue desc
limit 10Top 10 query expressions
This query creates a Snowflake dashboard tile that displays the top 10 query expressions that generated the most revenue.
with transaction_base as (
select distinct
tr.organization_id,
date(tr.transaction_timestamp) as date,
query_expression,
c.insight_id,
ins.insight_type,
tr.transaction_id,
c.item_id,
c.price*c.quantity as item_revenue
from COVEO_CORE_MODEL_V001.COMMERCE.TRANSACTIONS tr
join COVEO_CORE_MODEL_V001.COMMERCE.CART_ITEMS c on c.cart_id = tr.cart_id
join COVEO_CORE_MODEL_V001.COMMON.INSIGHTS ins on ins.insight_id = c.insight_id
where date = :daterange
and ins.insight_type = 'search'
)
select distinct
query_expression,
sum(item_revenue) as total_revenue
from transaction_base
group by query_expression
order by total_revenue desc
limit 10When using the default query, your dashboard should look like the following:
The Chart type, Data, and Appearance sections should look like the following. See Using charts for more information.
Top 10 product listing pages
This query creates a Snowflake dashboard tile that displays the path of the top 10 product listing pages that generated the most revenue.
with transaction_base as (
select distinct
tr.organization_id,
date(tr.transaction_timestamp) as date,
ec_listing,
c.insight_id,
ins.insight_type,
tr.transaction_id,
c.item_id,
c.price*c.quantity as item_revenue
from COVEO_CORE_MODEL_V001.COMMERCE.TRANSACTIONS tr
join COVEO_CORE_MODEL_V001.COMMERCE.CART_ITEMS c on c.cart_id = tr.cart_id
join COVEO_CORE_MODEL_V001.COMMON.INSIGHTS ins on ins.insight_id = c.insight_id
where date = :daterange
and ins.insight_type = 'listing'
)
select distinct
ec_listing,
sum(item_revenue) as total_revenue
from transaction_base
group by ec_listing
order by total_revenue desc
limit 10When using the default query, your dashboard should look like the following:
The Chart type, Data, and Appearance sections should look like the following. See Using charts for more information.
Top 10 recommendation components
This query creates a Snowflake dashboard tile that displays the recommendation components that generated the most revenue.
with transaction_base as (
select distinct
tr.organization_id,
date(tr.transaction_timestamp) as date,
origin as recommendation_component,
c.insight_id,
ins.insight_type,
tr.transaction_id,
c.item_id,
c.price*c.quantity as item_revenue
from COVEO_CORE_MODEL_V001.COMMERCE.TRANSACTIONS tr
join COVEO_CORE_MODEL_V001.COMMERCE.CART_ITEMS c on c.cart_id = tr.cart_id
join COVEO_CORE_MODEL_V001.COMMON.INSIGHTS ins on ins.insight_id = c.insight_id
where date = :daterange
and ins.insight_type = 'recommendation'
)
select distinct
recommendation_component,
sum(item_revenue) as total_revenue
from transaction_base
group by recommendation_component
order by total_revenue desc
limit 10When using the default query, your dashboard should look like the following:
The Chart type, Data, and Appearance sections should look like the following. See Using charts for more information.
Very useful
Not really
Very useful
Not really