Magento Business Intelligence Help Center

eCommerce and SaaS Starter Packages

As part of our services, we offer eCommerce and SaaS Starter Packages. These packages, created by our analysts, contain a customized set of dashboards and reports for your dataset. The analyses contained in these packages let you check on the health of essential metrics such as user lifetime revenue, number of repeat purchases, and more, thus creating a solid foundation for future exploration.

Note that the availability of some dashboards depends upon your dataset. 

If you have questions or you're interested in adding a package to your account, send us a support ticket to get things started.

Executive overview

The executive overview dashboard is built from charts that exist on other dashboards. This dashboard is a high-level overview of your data and contains charts that would be reviewed daily, while other dashboards contained more detailed information. Initially, it is set as the default dashboard in each account.

While we included a general set of charts for you, we recommend that you tailor this dashboard to your needs by adding other charts you use most frequently.

Cohort analysis

The cohort analysis dashboard includes a set of charts that show the average user lifetime revenue growth and incremental revenue growth grouped by registration cohorts. This reveals whether customer lifetime value (LTV), the value of a customer to a business, increases over time, and also identifies trends around LTV growth. Note that by default, we are accounting for all registered users (buyers and non-buyers) in the average LTV calculation - please see Step 6 of the cohort analysis tutorial to only account for buyers.

This dashboard may also include cohort charts that analyze the lifetime revenue of users from a specific acquisition source, channel, or demographic (e.g. New York or California). This is to demonstrate how you can analyze LTV for very specific segments of your user base and seeing whether one group or another yields higher LTV over time.

For more information on Cohorts, see “Performing Cohort Analysis".

If you are currently not tracking user acquisition source, please review the tutorials on how to  track Google Analytics (GA) source data in your database  (if you are using Magento, you can also download our free Acquisition Source Grabber extension) and how to best leverage user source data in Magento BI

Email summary

The Email Summary dashboard includes a sample set of charts that can be used in an automated daily email summary. Please refer to this article for more information on configuring email summaries.  

Retention health

The Retention health dashboard reveals your user base’s repeat purchase behavior.

The “Time between orders” chart shows the average and/or median elapsed time between a users’ first and second order, second and third order, etc. You may consider using this data to configure your email marketing campaigns.

The “Users by lifetime number of orders” chart lists the total number of users for each lifetime number of orders to provide a general overview of repeat purchase behavior.  

The “Repeat order probability” chart shows the likelihood of a user with a certain order number to make a repeat purchase. To see the probability of customers that made (x) orders to make (x+1) orders, simply divide the number of people who’ve made at least (x+1) purchases by the number of people who have made at least (x) purchases.

Example:

Number of customers who made 1 purchase in their lifetime: 90

Number of customers who made 2 purchases in their lifetime: 30

Number of customers who made 3 purchases in their lifetime: 10

In this example, the repeat order probability of customers who’ve made one purchase in their lifetime to make a second purchase is: (30 + 10) / (30+10+90) = 30.77% 

Customer LTV growth

The Customer LTV growth dashboard includes a set of charts that finds the average revenue per user. The charts are segmented based on the average revenue being generated within either the first 30, 60, 90, or 365 days after registration.  

The bottom row of charts shows these averages segmented by acquisition sources or demographics to reveal which groups of users generate the most revenue over time.

Product performance

The Product performance dashboard includes charts that reveal general product performance by displaying the number of items sold and revenue by item, as well as identifying top performing products.

Recent activity

The Recent activity dashboard shows performance data for the past 30 days. 

Transactional health

The transaction health dashboard includes overview charts of revenue, orders, and average order value. These charts may be segmented by marketing channels, demographics, or by special coupon codes.

Users to target

The Users to target dashboard includes table-style charts that list users with specific purchasing behaviors in common. A few examples include:

  • List of one-time buyers that purchase X months ago (who you may want to re-activate)

  • List of top spenders (who you may want to keep happy)

  • List of top spenders that were active in the past X days (who you may want to reward)

Using our data export tools, it is easy to create email lists of users with similar purchasing behavior for target marketing

User activity

The User activity dashboard includes charts that segment users by a variety of data, including acquisition source, demographics, and average first time to order. It also includes user cohort analysis, including the overall average lifetime revenue by users’ registration month.

The “% of cohort members who have purchased” chart is particularly valuable, as it shows the conversion ratio (between 0 and 1) of users based on when they register (each line represents a cohort of users) and when they make their first purchase (e.g. In month 1, 2, 3... after registration). This may show you that 10% of users activated in month 1, while this number grows in month 2, 3, 4... and may plateau later on.

Typically, the lines in this chart become horizontal after some period in time, indicating that few additional cohort members are converting organically after that point - i.e., most users who are going to make a purchase have already done so. At this point, these members are highly unlikely to convert to purchasers without intervention. Reaching out to them with custom promotions or specifically targeted emails is an extremely low-risk way to jump-start conversion of this population.

 

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