How to Calculate Email Marketing Metrics
Jeanne Jennings ??
Email Marketing Strategy: Consultant, Trainer, Speaker; Chair, Email Innovations Summit; GM, Only Influencers
What are the formulas behind the email metrics we all rely on? How do you account for bounces when calculating metrics? Do you use unique or total quantities? These and other answers await you in this blog post.
Last month I wrote about internal benchmarks – I’ve received a lot of good feedback, as well as questions about the formulas behind the metrics calculations. So I thought I’d provide this companion post.
Many marketing platforms calculate your metrics for you. That’s great. But… not all platforms use the same formulas or the same names for those metrics. Even if you aren’t calculating them yourself, it’s important to understand the formulas your platform is using as well as the formulas considered standard in the industry.
Let’s jump in!
Overview
Here are the metrics we’ll cover:
Notes
Most of the metrics are presented as percentages
Exceptions are AOV, RPE, and RPME, which are presented as dollars or whatever currency you’re working with
We round to one decimal point for most metrics
Exceptions are Unsubscribe rate and spam complaint rate, where we round to two decimal points (this is due to the relatively small size of the value)
Also exceptions: currency formats (AOV, RPE, and RPME) where we round to two decimal points as is traditional for currency values
We’ll also use the following raw data to illustrate how to calculate each metric:
the ‘/’ symbol stands for ‘divided by’
the ‘*’ symbol stands ‘multiplied by’
the ‘-‘ symbol stands for ‘minus’
Bounce Rate
Formula: (Bounces / Send Quantity) * 100
Calculation (using raw data above):
(3,000 / 100,000) *100
0.03 * 100
3.0%
Additional Resources:
Here is an additional resource to help you leverage bounce rates.
Find more by using the search button (top right, in the header) on the Email Optimization Shop blog.
Non-Bounce Rate
Formula: (Non-Bounce Sent / Send Quantity) * 100
Calculation (using raw data above):
(97,000 / 100,000) *100
0.97 * 100
97.0%
Additional Resources:
Here is an additional resource to help you leverage assumed delivered rates.
Find more by using the search button (top right, in the header) on the Email Optimization Shop blog.
Open Rate
Formula: (Unique Opens / (Send Quantity – Bounces) * 100
Calculation (using raw data above):
(33,950 / 100,000 – 3,000) *100
(33,950 / 97,000) *100
0.35 * 100
35.0%
Additional Resources:
Here are some additional resources to help you leverage open rates.
Find more by using the search button (top right, in the header) on the Email Optimization Shop blog.
Click-through Rate (CTR)
Formula: (Unique Clicks / (Send Quantity – Bounces) * 100
Calculation (using raw data above):
(3,395 / 100,000 – 3,000) *100
(3,395 / 97,000) *100
0.035 * 100
3.5%
Additional Resources:
Here are some additional resources to help you leverage click-through rates.
Find more by using the search button (top right, in the header) on the Email Optimization Shop blog.
Click-to-open Rate (CTOR)
Formula: (Unique Clicks / Unique Opens) * 100
Calculation (using raw data above):
(3,395 / 33,950) *100
0.1 * 100
10.0%
领英推荐
Additional Resources:
Here are some additional resources to help you leverage click-to-open rates.
Find more by using the search button (top right, in the header) on the Email Optimization Shop blog.
Unsubscribe Rate
Formula: Unsubscribes / (Send Quantity – Bounces) * 100
Calculation (using raw data above):
(100 / 100,000 – 3,000) *100
(100 / 97,000) * 100
0.00103093 * 100
0.10%
Additional Resources:
Here are some additional resources to help you leverage unsubscribe rates.
Find more by using the search button (top right, in the header) on the Email Optimization Shop blog.
Spam Complaint Rate
Formula: Spam Complaints / (Send Quantity – Bounces) * 100
Calculation (using raw data above):
(10 / 100,000 – 3,000) *100
(10 / 97,000) * 100
0.00010309 * 100
0.01%
Additional Resources:
Here are some additional resources to help you leverage spam complaint rates.
Find more by using the search button (top right, in the header) on the Email Optimization Shop blog.
Conversion Rate from Sent (CR from Sent)
Formula: Conversions / (Send Quantity – Bounces) * 100
Calculation (using raw data above):
(1,455 / 100,000 – 3,000) *100
(1,455 / 97,000) * 100
0.015 * 100
1.5%
Additional Resources:
Here are some additional resources to help you leverage conversion rates.
Find more by using the search button (top right, in the header) on the Email Optimization Shop blog.
Average Order Value (AOV)
Formula: Revenue / Conversions
Calculation (using raw data above):
$100,000 / 1,455
$68.73
Additional Resources:
Here are some additional resources to help you leverage average order values.
Find more by using the search button (top right, in the header) on the Email Optimization Shop blog.
Revenue-per-email-sent (RPE)
Formula: Revenue / (Send Quantity – Bounces)
Calculation (using raw data above):
($100,000 / 100,000 – 3,000)
($100,000 / 97,000)
$1.03
Additional Resources:
Here are some additional resources to help you leverage RPE.
Find more by using the search button (top right, in the header) on the Email Optimization Shop blog.
Revenue-per-thousand-email-sent (RPME)
Formula: Revenue / ((Send Quantity – Bounces) / 1,000)
Calculation (using raw data above):
$100,000 / ((100,000 – 3,000) / 1,000)
$100,000 / (97,000 / 1,000)
$100,000 / 97
$1,030.93
Additional Resources:
Here are some additional resources to help you leverage RPME.
Find more by using the search button (top right, in the header) on the Email Optimization Shop blog..
Hope you found this helpful! If you’re looking for more help, whether it’s strategic/tactical consulting, a fractional email director/VP role, or workshop training, let’s chat!
jj
"IF YOU AIM AT NOTHING, YOU WILL HIT IT EVERY TIME" Zig Ziglar
3 个月This is great Jeanne. Why not add something like total cost. And then add Cost per conversion Revenue per conversion allows you to calculate + or - profit per conversion