For Product Teams
Product Team Tools Stack
Build better products with data-driven insights. Understand users, experiment rapidly, and drive product-led growth.
The Product Team Stack
Product teams need tools that reveal user behavior, enable rapid experimentation, and connect insights to action. The best product stacks create tight feedback loops between users and product decisions.
Core Product Stack
- Product Analytics: Understanding user behavior and funnels
- Session Recording: Seeing exactly what users do
- Feature Flags: Controlled rollouts and experiments
- User Feedback: Qualitative insights from users
- Product Management: Prioritization and roadmapping
Analytics Approaches
- Event-based (Amplitude, Mixpanel): Define events, track them explicitly
- Autocapture (Heap, PostHog): Capture everything, analyze later
- Hybrid: Autocapture foundation with defined events for key actions
Product-Led Growth Metrics
Key metrics for PLG teams:
- Activation: Users reaching "aha moment"
- Engagement: DAU/MAU, session frequency
- Retention: Cohort retention curves
- Feature adoption: Usage of key features
- Expansion: Upgrade and seat growth
Experimentation
Data-driven product development requires:
- Feature flags for controlled rollouts
- A/B testing for optimization
- Cohort analysis for measuring impact
- Qualitative research to understand why
Email in Product-Led Growth
Email is a critical channel for product teams driving PLG:
- Activation: Guide users to key features
- Re-engagement: Bring back inactive users
- Feature announcements: Drive adoption of new capabilities
- Expansion triggers: Prompt upgrades at the right moment
Why Sequenzy for Product Teams
Sequenzy connects directly to your product events, enabling emails triggered by user behavior. When a user completes onboarding, celebrate and guide to the next step. When usage drops, send re-engagement. When they hit a limit, prompt an upgrade. All automated based on what users actually do in your product - not just time delays.
Behavior-Triggered Email
Sequenzy sends the right email at the right moment based on what users do in your product, not just when they signed up.
See Product Email Features