📊 Dataset · CSV
email_marketing_benchmarks_2026.csv
Free CSV dataset “email_marketing_benchmarks_2026.csv” (45 rows × 5 columns, 1.7 KB) used in 1 Python lesson, including “Python Data Analytics #28: Email…
- Size1.7 KB
- Rows45
- Columns5
- Used in1 lesson
Preview (first rows)
| Industry | Open_Rate_Pct | Click_Rate_Pct | Click_To_Open_Rate_Pct | Unsubscribe_Rate_Pct |
|---|---|---|---|---|
| Agency | 40.52 | 1.85 | 6.74 | 0.21 |
| Agriculture and food services | 45.51 | 1.83 | 6.21 | 0.23 |
| Architecture and construction | 40.55 | 1.68 | 6.1 | 0.23 |
| Art gallery and museum | 50.43 | 2.66 | 6.28 | 0.33 |
| Artist | 49.23 | 2.52 | 7.45 | 0.27 |
| Author | 43.14 | 2.75 | 7.81 | 0.31 |
| Beauty and personal care | 38.4 | 0.95 | 3.91 | 0.23 |
| Blogger | 43.03 | 3.0 | 8.56 | 0.16 |
Columns
| Column | Type | Missing | Example |
|---|---|---|---|
Industry | text | 0 | Agency |
Open_Rate_Pct | decimal | 0 | 40.52 |
Click_Rate_Pct | decimal | 0 | 1.85 |
Click_To_Open_Rate_Pct | decimal | 0 | 6.74 |
Unsubscribe_Rate_Pct | decimal | 0 | 0.21 |
Load it in Python
import pandas as pd
df = pd.read_csv("email_marketing_benchmarks_2026.csv")
df.head()
