It’s been almost two months since we went live with our Predictive LTV model, and with the help of our PLUS plan Beta users, we’ve continued to dial in the accuracy of our projections. A broader launch of the model for smaller and newer stores is around the corner!
(If your D2C brands has at least 12 months of order history and/or 1000 new customers a month, you can still request Beta access on the Change plan page here.)
In the meantime, we’ve added spaghetti graphs to LTV Reports, updated our look, filled out the daily email report, and added a few other asked-for improvements. Take a look!
When you run your LTV report, you’re now able to see each cohort’s metrics plotted on a line graph. This “spaghetti chart” has several advantages over the traditional table view. It makes it easier to visualize both the sales volume and sales velocity of an average customer from a given cohort over time, and (especially with predictive data switched on) lets you compare average LTVs of each cohort at similar points in time relative to first orders.
The spaghetti view is available on the PRO and PLUS plans and works with predictions, filters, different metrics, and both absolute numbers and percentages. Click over to your LTV report to check it out!
To more easily forecast monthly sales revenues for all your existing customers (rather than adding up sales projections for each individual cohort), PLUS plan members can now scroll down beneath the LTV report to find a bar chart that splits out total sales projections by month.
We hope that by now you've noticed Lifetimely's new look! The design changes should make it easier to toggle between our growing number of reports and settings.
If you're signed up for daily email reports, you've probably noticed some changes here too. The top of the report now highlights metrics such as your Blended CAC, Blended ROAS, COS%, AOV, and the number of first-time and repeat customers.
(If you haven’t yet signed up for an email report of your daily P&L metrics, you can do that here.)
There’s a good chance that whenever you go deeper into your Lifetime Value Report, you tend to repeat certain sets of filters in order to analyze specific customer segments.
To make it easier to apply your most commonly used filters, we added a feature that allows you to save these cohorts for later use. You can name these cohorts (ex. “Non-subscription Facebook customers”) and create or delete as many as you’d like, all within the “Filters” window of the report.
Another time-saving improvement based on a request from our international sellers - when entering shipping costs by country, you can now set a general worldwide shipping cost that will apply to all countries with unspecified costs.
Exact Shopify Payments transaction costs are now automatically pulled from Shopify for each order. This is a small but important change to make sure your cost data is as accurate as possible. (To help us calculate transaction costs for other payment gateways, you'll still need to enter their fee structures.)
What else should we add or update? If you have an idea for a new feature or improvement (big or small), let us know at firstname.lastname@example.org!