Connect Amplitude to Scoop to analyze product analytics data, understand user behavior patterns, and measure feature adoption. Combine event data with other business sources for comprehensive insights.

AI-Assisted Setup

When connecting Amplitude to Scoop, choose "Guide me with AI" for an intelligent, guided setup experience.

Available Analysis Templates

Example Questions You Can Answer

User Engagement:

• "What are the most frequent event types?"
• "How many unique users are active per day?"
• "What's the average number of events per user session?"
• "What's the trend in daily active users over time?"
• "Which events correlate with user retention?"

Platform Analysis:

• "What percentage of events come from mobile vs web?"
• "Which platforms have the highest engagement?"
• "How does behavior differ across iOS, Android, and web?"
• "What's the device distribution for key conversion events?"
• "How does session depth vary by platform?"

Geographic Insights:

• "Which countries have the most active users?"
• "How does engagement vary by region?"
• "What features are popular in different markets?"
• "What's the user growth rate by country?"
• "How does conversion rate vary by geographic region?"

Need Something Different?

If the templates above don't match your needs, select "Something else" and describe what you want to analyze. For example:

• "I want to analyze specific event properties"
• "I need to focus on a particular user segment"
• "I want to track funnel conversion over time"

Scoop's AI will recommend the right configuration for your specific use case.

Connecting Amplitude to Scoop

1. Create a new dataset in Scoop
2. Select Amplitude from the application list
3. Enter your Amplitude API key and Secret key in the format: {apiKey}:{secretKey}
   • Find these in Amplitude under Organization Settings → Project Settings
4. Select your date range for the event export
5. Save and extract data

What Data You Get

Amplitude event exports include:

Analysis Examples

Feature Adoption

Track how users engage with specific features:

• Event counts by feature over time
• User adoption rates
• Feature engagement funnels

User Behavior Patterns

Understand how users navigate your product:

• Common event sequences
• Time between events
• Session depth analysis

Platform Comparison

Compare engagement across platforms:

• Event volume by platform
• Feature usage differences
• Platform-specific patterns

Blending Amplitude with Other Data

Amplitude becomes even more powerful when combined with other sources:

Amplitude + CRM Data

Goal: Connect user behavior to revenue

Amplitude + Marketing Data

Goal: Understand acquisition quality

• Which campaigns bring engaged users?
• What's the correlation between feature adoption and CAC?
• How does behavior vary by acquisition source?

Best Practices

Date Range Selection

• Export a focused date range to keep data manageable
• Start with 30 days for initial analysis
• Expand range for trend analysis

Data Hygiene

• Use consistent event naming conventions
• Leverage event properties for deeper analysis
• Combine with CRM data to correlate behavior with revenue

Analysis Cadence

Troubleshooting

Connection Issues

• Verify API key and secret are correct (format: apiKey:secretKey)
• Check that your Amplitude plan includes API access
• Ensure the project ID matches your intended workspace

Missing Events

• Confirm date range includes expected events
• Check event naming matches what you're searching for
• Verify events are being tracked in Amplitude

Large Data Volumes

• Amplitude event exports can be large
• Start with shorter date ranges
• Use filters in Scoop to focus analysis

Related Topics

• Blending Datasets - Combine with CRM/marketing data
• Creating KPIs - Custom engagement metrics
• Time Series Analysis - Track trends over time