Lære Segmenting Users by Activity | Analyzing User Behavior

Understanding user segmentation is a key part of growth hacking, as it enables you to group users based on shared behaviors or characteristics. By segmenting users according to their activity levels, you can tailor marketing efforts, personalize communication, and optimize product experiences for each group. This approach leads to more effective targeting, improved user retention, and higher conversion rates. Segmenting users allows you to identify which users are most engaged, which are at risk of becoming inactive, and which have already churned, so you can take the right actions for each group.


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import pandas as pd

# Sample user activity data
data = {
    "user_id": [1, 2, 3, 4, 5, 6],
    "activity_count": [15, 0, 3, 7, 0, 20]
}
df = pd.DataFrame(data)

# Define segmentation logic
def segment_user(activity_count):
    if activity_count >= 10:
        return "active"
    elif activity_count > 0:
        return "dormant"
    else:
        return "churned"

# Apply segmentation
df["segment"] = df["activity_count"].apply(segment_user)
print(df)

To understand how the segmentation works in the code above, start with a DataFrame containing user IDs and their respective activity counts. The function segment_user assigns a segment label to each user based on their activity count: users with 10 or more activities are labeled as "active", those with 1 to 9 activities as "dormant", and those with 0 activities as "churned". By applying this function to the activity_count column, you create a new segment column that categorizes each user accordingly. This logic helps you quickly identify which users are highly engaged, which need re-engagement, and which have stopped interacting altogether.


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# Count users in each segment
segment_counts = df["segment"].value_counts()
print(segment_counts)

1. What is user segmentation and why is it valuable?

2. How can you use pandas to categorize users?

3. What insights can be gained from segmenting users by activity?

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Suggested prompts:

Can you explain what the output of the segment count means?

How can I use these segments to improve my marketing strategy?

What other criteria can I use for user segmentation?

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