Hey, Pals!
Every Thursday, we’re going to share Boards, prompts, features, and opportunities to help us reshape the way ecommerce brands turn raw data into sustainable growth.
Let’s get into it.
Let’s solve some mysteries with Moby.
Ever wondering how long it takes a customer to make a purchase after their first click? Well, now you might. And don’t worry, we have the answer.
1. Ask Moby: What is the average time period between a user’s first click and their first purchase on my website?
You can schedule Sequences to run on a recurring basis—and soon, you’ll be able to view sequences in the Template Gallery and pin those results onto a Board. We have a recommendation on where to start below ⬇️
Wondering what all the other Triple Whale users just like you are asking Moby? Well, Moby got pinged with 1416 questions in the past week.
Here’s what was most popular:
Ad spend tracking
ROAS queries
Sales analysis and trends
Order value analysis
We’re building a massive list of 700+ verified prompts for you to use. And this is my personal favorite of the week, cause it’ll help you dig into the channel with the highest value customers:
Sequences are pretty magical. They’re set to help Moby help you (look good to the big bosses, make strategic decisions, leave the office in time for happy hour). We’ve got quite a few pre-built Sequences courtesy of Aj and if you’re not sure where to start… try the Sequence labeled:
▶️ New vs. Returning Customers:
A new Board you can add to your account
Meet The Ecommerce Navigator:
What is it: Review key performance metrics trends over time against today's performance. In 60 seconds, you will understand your overall revenue, contribution dollars, Net Sales and MER, CPA, nCPA, media spend, and product performance per day, over any date range of your choosing
Who’s it for: Director of Ecommerce at a brand or an agency account lead
Pro Tip: Make this board your own. Using the WYSIWYG editor at the top of the Board, you can switch up the layout, or add some insights via text box to help your broader team interpret the data. Once you add the template to your workspace, it’s all yours.
A glimpse into the stuff our team is excited about…
We finished building a code interpreter into Moby.
Why? Because LLMs are pretty good at writing python. This allows Moby to write python scripts to solve complex questions. In this particular example, Aj asks Moby to calculate break-even ROAS per day.
The initial data (sales, refunds, COGS, shipping and ad spend) is pulled with a query, then we're automatically running it through the code interpreter to get our answers.
This is going to open up so many very cool experiences for Triple Whale users.
Each week, this is where we ask you, our favorite people in the world, for help.