Average order value (AOV)
Average order value (AOV)
The average order value (AOV) is calculated by dividing the sum of the total revenue by the total number of transactions.
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.
AOV per service
This query creates a Snowflake dashboard tile that displays the AOV (including taxes, shipping costs and discounts) earned by each Coveo service (i.e., Search, Listing and Recommendation):
with revenue_normalization 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
rn.insight_type,
sum(rn.item_revenue) / count(distinct rn.transaction_id) as aov
from revenue_normalization rn
group by rn.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.
AOV per service on a daily basis
This query creates a Snowflake dashboard tile that displays the AOV (including taxes, shipping costs and discounts) earned by each Coveo service (i.e., Search, Listing and Recommendation) on a daily basis:
with revenue_normalization 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
rn.date,
rn.insight_type,
sum(rn.item_revenue) / count(distinct rn.transaction_id) as aov
from revenue_normalization rn
group by rn.date, rn.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.
AOV per component
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 AOV 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 revenue_normalization as (
select distinct
tr.organization_id,
date(tr.transaction_timestamp) as date,
c.insight_id,
ins.insight_type,
{COMPONENT},
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 = '{INSIGHT-TYPE}' -- ('listing', 'search' or 'recommendation')
)
select distinct
rn.{ALIAS_OF_COMPONENT},
sum(rn.item_revenue) / count(distinct rn.transaction_id) as aov
from revenue_normalization rn
group by rn.{ALIAS_OF_COMPONENT}
order by aov desc
limit 10Where you replace:
-
{INSIGHT-TYPE}with the Coveo service on which you want to report (i.e.,search,listing, orrecommendation). -
{COMPONENT}depending on the service you selected in step 1:Service selected in step 1 Value to replace {COMPONENT}withsearchquery_expressionlistingec_listingrecommendationorigin as recommendation_component -
Occurrences of
{ALIAS_OF_COMPONENT}, depending on the Coveo service you selected in step 1:Service selected in step 1 Value to replace {ALIAS_OF_COMPONENT}withsearchquery_expressionlistingec_listingrecommendationrecommendation_component
Top 10 query expressions
This query creates a Snowflake dashboard tile that displays the top 10 query expressions that generated the highest AOV.
with revenue_normalization as (
select distinct
tr.organization_id,
date(tr.transaction_timestamp) as date,
c.insight_id,
ins.insight_type,
query_expression,
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
rn.query_expression,
sum(rn.item_revenue) / count(distinct rn.transaction_id) as aov
from revenue_normalization rn
group by rn.query_expression
order by aov 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 highest AOV.
with revenue_normalization as (
select distinct
tr.organization_id,
date(tr.transaction_timestamp) as date,
c.insight_id,
ins.insight_type,
ec_listing,
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
rn.ec_listing,
sum(rn.item_revenue) / count(distinct rn.transaction_id) as aov
from revenue_normalization rn
group by rn.ec_listing
order by aov 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 highest AOV.
with revenue_normalization as (
select distinct
tr.organization_id,
date(tr.transaction_timestamp) as date,
c.insight_id,
ins.insight_type,
origin as recommendation_component,
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
rn.recommendation_component,
sum(rn.item_revenue) / count(distinct rn.transaction_id) as aov
from revenue_normalization rn
group by rn.recommendation_component
order by aov 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