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Step 1. Create an input
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Step 5. Verify your connection
Step 6. Track events
Step 7. Track user data
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Overview
Step 1. Create an input
Step 2. Verify your input
Step 3. Set up your output
Step 4. Create a connection
Step 5. Verify your connection
Step 6. Track events
Step 7. Track user data
Step 8. Create a data plan
Step 1. Create an input
Step 2. Create an output
Step 3. Verify output
Introduction
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Create an Input
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Snowflake (Define Your Own Schema)
Aliasing
PetBox is a fictional eCommerce company that sells monthly subscription boxes containing animal care products. Currently, they have four marketing channels through which users are acquired:
PetBox wants to evaluate the conversion percentage of users acquired through each of these channels. This analysis will determine which channels will receive a greater investment of marketing resources, and which channels are underperforming.
What is the most valuable marketing channel by conversion percentage?
Select Create New Analysis, and then find Conversion and Drop Off in the dropdown menu. Selecting Conversion and Drop Off will set up a pre-configured query to identify points of friction between events.
The three-step funnel will include the events Site Visit, Blog View, and Subscribe.
Next, let’s collapse the query builder so we can focus on the funnel.
This is a three-step funnel showing the conversion from Site Visit to Blog View to Subscribe over the last 7 days. The percentages in the webbing between steps indicate the percentage of users that have moved from one step to the next — keep in mind that your data may vary from this example.
The percentages in the webbings should be interpreted as:
The total conversion rate of 10.26% is displayed above the funnel. Percentages will change if the date range is adjusted. For example, conversion percentages across 30 days will be different than those across 7 days.
To break out our results, let’s add a User or Event Property. In this case, we’ll use the event property Marketing Channel. Breaking out our funnel by this property will group users based on the marketing channel they were acquired through. To add these breakouts, re-expand the query builder and select Group By underneath the first funnel step, then choose Marketing Channel under the event properties tab.
We’re interested in understanding the marketing channels these users were acquired from.
The table below the chart is broken out by events along the X axis, and by marketing channel along the Y axis.
For example, the first row tells us that of users who were acquired through Paid search:
Let’s click the row corresponding to the largest count in user signup, which is Email.
Clicking a row in the table expands the selection. All conversion rates within the webbings and top line update to reflect the selected campaign source.
The total conversion rate is 10.26%, while the conversion rate for users whose acquisition marketing channel was Email is 8.34%. Now, let’s compare that to the row with the highest (non-direct) conversion rate, which is Paid (12.77% conversion).
While email is the largest source of users, users from paid search convert at a higher rate. PetBox should explore investing additional resources into paid search campaigns.
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