User Engagement Trends for E-commerce Mobile App Events with Preswald

📌 Business Use Case: Why It Matters and Who It's For

In the competitive world of e-commerce, product and growth teams constantly seek answers to questions like: How long are users engaging with specific features? Which events lead to deeper engagement? Are premium users interacting longer than basic users? Is there a region where sessions consistently drop off?

These are not just abstract metrics—they directly impact retention, conversions, and long-term value.

This Preswald-powered dashboard was created to give product leads, mobile growth analysts, and CX strategists an instant visual summary of how different types of user events contribute to session length and engagement over time. Whether it’s onboarding, cart activity, or checkout behavior, understanding session duration by event type can help prioritize feature improvements and identify friction points.

📊 The Data: Where It Comes From and What It Contains

The data used in this dashboard mimics what many companies collect from tools like:

• Segment event streams

• Firebase Analytics or Mixpanel

• Snowflake or BigQuery exports from event tracking

Each row in the ecommerce_csv table represents an event session in a mobile app. The table contains:

• timestamp: When the event occurred

• duration: How long the session lasted (in seconds or minutes)

• event_type: Type of interaction (e.g., App Opened, Product Viewed, Checkout Started)

• region: The user’s region (e.g., Europe, North America)

• user_tier: Free, Premium, or Trial

This structure is standard for event data platforms and can be ingested in real time from user sessions.

🛠️ Building the Dashboard in Preswald

We used Preswald to transform this raw CSV into an interactive, visual dashboard. The full live app is available here: Preswald E-commerce Dashboard

Let’s break down the visualizations and what they unlock.

📈 1. Session Duration by Event Type Over Time (Scatter Plot)

This scatter plot visualizes each session’s duration over time, color-coded by event_type. It allows users to:

• Detect if certain events cause spikes or dips in session time

• Observe how event behavior evolves by date

Use Case:

• Product managers can check if recent feature rollouts (e.g., new cart experience) correspond with changes in session duration.

📊 2. Average Session Duration by Event Type (Bar Chart)

This bar chart aggregates session duration per event_type, giving teams a clean way to:

• Benchmark which event types lead to longest engagement

• Spot low-duration events that may signal churn risks

Use Case:

• Growth teams prioritizing the expansion of high-retention features.

🔥 3. Session Duration by Region and User Tier (Heatmap)

This heatmap shows how average session duration varies across region and user_tier.

Use Case:

• Geographic PMs or CX teams can see if premium users in one region behave differently than those elsewhere.

• Can reveal localization or performance issues.

📉 4. Total Session Duration Over Time by Event (Line Chart)

This time series tracks cumulative session duration for each event type, giving a sense of volume and engagement trends over time.

Use Case:

• Daily active tracking of checkout activity or drop in interest post-campaign.

• Seasonality tracking (e.g., holiday shopping peaks).

🧾 5. Raw Data Table

The final section shows the full table of session logs, enabling analysts to:

• Inspect rows for QA

• Export for additional analysis

🧠 Insights This Dashboard Helps Uncover

• Which features are most “sticky” based on session time

• Whether free users spend more time on certain events than premium users

• How user engagement differs across continents

• If product changes led to engagement improvements

🚀 Why Use Preswald

Preswald’s beauty lies in:

• Instantly turning Python and CSVs into rich dashboards

• Deploying in one command—no servers

• Zero frontend code

• Auto-reactive components

This makes it ideal for analytics and product teams that want to skip building dashboards manually or using BI tools with steep learning curves.

🔗 Try the App

View the live e-commerce session dashboard here: https://preswald-project-9c7y2rky-ndjz2ws6la-ue.a.run.app/

🏁 Final Thoughts

This app helps transform session analytics into team-aligned insights. Instead of weekly reporting cycles or dev-heavy dashboards, teams now have instant access to:

• What users are doing

• Where they’re doing it

• How long they stay

With Preswald, understanding user behavior no longer requires a data engineering team—it’s as simple as writing Python.