Putler FAQs
📄️ I have already added a data source to Putler and wish to add more. How can I do that?
This guide walks you through the steps to integrate additional accounts, including payment gateways, eCommerce platforms, and analytics tools, ensuring seamless data aggregation in Putler.
📄️ How to identify the hours or days my store makes the most sales?
Analyze Sales Data for Peak Days
📄️ How is avg LTV calculated in Putler?
The Average Customer LTV is calculated by considering parameters such as Average Time a Customer stays, Total Orders, Total Sales, and Total Customers.
📄️ How Can I organize the data in the export CSV file where everything is currently in one cell?
If you exported a list from Putler and the data in the CSV file is all crammed into one cell, don't worry, we can tidy it up easily. Simply follow these steps:
📄️ Where can I see canceled customers?
Check Cancelled Customer List
📄️ How are the categories 'at risk' and 'can't lose them' computed on the customer page?
The "At Risk" and "Can't lose them" categories on the customer page are computed using RFM (Recency, Frequency, Monetary) analysis. This model segments customers based on their transaction history, considering factors such as how recently they made a purchase, how often they make purchases, and how much they have spent.
📄️ Where can I find the details of the plan we are currently subscribed to?
Check subscription details