The metrics that can help you track your results include:
- conversion rate,Â
- click-through rate (CTR),Â
- average order value (AOV) in November to measure the impact of upsell offers.Â
Gather necessary dataÂ
I assume you have begun collecting data through your subscription forms, such as names, email addresses, or even location of your subscribers. This basic data is typically easy for people to share and allows for simple segmentation.
To gather more data, you need to solve two main challenges associated with data collection these days:
Problem 1 â Trust
After so many data breaches, customers are more cautious than ever about sharing personal information. To gain their trust, itâs essential to build transparent relationships and be honest about why you need certain data and how you intend to use it.
Solution
Begin with a clear privacy policy that outlines how the data will be used. Ensure that you only ask for the necessary information to avoid overwhelming your subscribers.
Problem 2 â Data privacy regulations
With regulations like GDPR (EU), CAN-SPAM (US), CASL (Canada), and PDPA (Singapore, Malaysia), and other international privacy laws, you must ensure that your data collection and email marketing activities are legally compliant. This can limit the kind of information you can collect and how you handle it.Â
Solution
Learn about the laws that are applicable in your region and your subscribersâ regions and consider how you will manage them.
Once you have these two points figured out, you can ask your subscribers for more information.Â
Also, over time, their interactions with your landing page / website / app and emails will grow and give you valuable behavioral data.Â
This data will help you create even more segments â such as identifying those who have opened your last five emails, or those who consistently click on certain types of offers or products.
Segment your list
Let me show you how to manually segment a small email list in Google Sheets, so you get the idea.Â
Take a look at my email list that I created with ChatGPT (it would have taken me ages to come up with so many fake names and emails). My table also has columns for Location, Age, and Latest purchase.