Analytics Built for Modern SaaS Companies
From Product-Led Growth to Agentic AI—get privacy-first analytics that measure what matters: activation, task completion, trial conversion, and churn prevention.
Built for High-Growth SaaS Sectors
Whether you're building Agentic AI products, optimizing Product-Led Growth, or serving regulated industries—WysLeap provides specialized analytics for each segment while maintaining a unified platform.
Product-Led Growth
Measure activation in seconds, track "Aha! moments," and optimize time-to-value. Built for self-serve SaaS companies focused on rapid user activation and conversion.
- • Time-to-First Value (TTFV)
- • Activation rate tracking
- • Product Qualified Leads (PQLs)
- • Free-to-paid conversion
Agentic AI
Track task completion, user satisfaction with AI outputs, and identify where AI agents succeed or fail. Built for AI-first products with non-deterministic interfaces.
- • Task completion tracking
- • AI response quality metrics
- • User refinement patterns
- • Abandonment during AI interactions
Vertical SaaS
Privacy-first analytics designed with regulated industries in mind. Account-based analytics for complex multi-user accounts without cookies or personal data.
- • Account-based analytics
- • Role-based tracking
- • Privacy-first architecture
- • Multi-tenant support
Product-Led Growth Analytics
Measure activation in seconds, not minutes. Track the metrics that drive PLG success.
PLG Metrics That Matter
Core PLG Metrics
- • Time to First Value (TTFV): Time from signup to first meaningful action
- • Activation Rate: % of users reaching key activation milestone
- • Product Qualified Leads (PQLs): Users showing buying intent through product usage
- • Free-to-Paid Conversion Rate: % of free users upgrading to paid
- • Feature Adoption Rates: Which features drive retention
- • Daily/Weekly Active Users (DAU/WAU): Engagement metrics
- • Expansion Revenue Opportunities: Usage-based upsell signals
Time-to-Value Benchmarks
to activation
to activation
to activation
PLG Funnel Stages
WysLeap shows you exactly where YOUR users drop off. Typical PLG funnel: 100 signup → 95 complete onboarding (5% drop-off) → 70 activate (26% drop-off) → 10 convert (86% drop-off). Identify your specific drop-off points and optimize.
PLG-Specific Use Cases
Identify Onboarding Drop-Off
"Identify which onboarding step causes 30% drop-off. Solution: Simplified setup flow. Result: 40% reduction in drop-off."
Track Feature-to-Conversion
"Track which features drive trial-to-paid conversion. Discovery: Users who use Feature X have 3x conversion rate."
Measure Time to "Aha! Moment"
"Measure time from signup to 'Aha! moment' by cohort. Optimized onboarding to reduce from 15 minutes to 4 minutes."
Identify Product Qualified Leads
"Identify PQLs for sales team outreach. Users with 85+ intent score get personalized sales outreach. Result: 2x conversion rate."
Agentic AI Observability
Track task completion and user satisfaction with AI outputs—not just clicks. Built for AI-first products with non-deterministic interfaces.
What We Track for AI Products
User Interactions
- • User prompts/inputs: What users ask the AI
- • AI response quality: User satisfaction with outputs (accept/reject, edits)
- • Task success/failure rates: Did the AI complete the user's goal?
- • User corrections: How often users need to refine prompts
- • Regeneration frequency: How many times users regenerate responses
- • Abandonment during AI interactions: Where users give up
AI Agent Behavior
- • Task completion tracking: Did the AI successfully complete the task?
- • Response accuracy: User acceptance vs. rejection rates
- • Hallucination detection: Patterns where AI outputs confused users
- • Non-deterministic UX challenges: How different responses affect user behavior
Concrete AI Product Examples
AI Writing Assistant
Track when users accept vs. reject AI suggestions, regeneration frequency, and which prompts lead to task completion.
Discovery: Users with 3+ regenerations had 50% higher churn. Action: Improved prompt engineering. Result: 30% reduction in regenerations, 20% lower churn.
AI Code Generator
Measure success rate of generated code, user editing patterns, and which features users trust vs. verify.
Discovery: Users who verified code before using had 80% higher satisfaction. Action: Added inline verification prompts. Result: 25% increase in code acceptance rate.
Clarification: AI Agent Observability
WysLeap tracks human users interacting WITH AI features in your product. We measure how users engage with AI outputs, not the AI agents themselves as users. This helps you understand if your AI is actually helping users complete tasks or causing confusion.
Privacy-First Analytics for Regulated Industries
Designed with healthcare, fintech, and other regulated industries in mind—privacy-first architecture suitable for compliance-sensitive environments.
Compliance & Privacy
Privacy-First Architecture
- • No cookies needed: Works without cookie consent banners
- • No personal data collection: Only anonymous behavior patterns
- • GDPR-friendly design: Privacy-first architecture suitable for GDPR compliance
- • Healthcare privacy considerations: Designed with healthcare privacy in mind
Important Compliance Note
HIPAA Compliance: WysLeap is designed with healthcare privacy in mind, but HIPAA compliance depends on how you use the tool and your specific implementation. Consult with your compliance team for HIPAA requirements.
GDPR Compliance: GDPR compliance depends on how you use the tool, not just the tool itself. WysLeap provides GDPR-friendly architecture, but you must ensure your implementation meets GDPR requirements.
Account-Based Analytics
Track multiple users within the same organization, aggregate behavior across team members, and provide role-based analytics (admin vs. user).
Multi-User Tracking
Track multiple users within same organization
Aggregated Behavior
Aggregate behavior across team members
Role-Based Analytics
Separate analytics for admin vs. user roles
Vertical SaaS Examples
Healthcare SaaS
Track patient engagement, provider workflows, and referral patterns. Account-based analytics separate patient, provider, and admin journeys.
FinTech
Monitor compliance-sensitive user journeys, track verification funnels, and ensure privacy-first analytics for financial data.
Education SaaS
Student progress tracking, educator analytics, and district-level insights with role-based separation.
SaaS Metrics That Drive Growth
Revenue Metrics
- • Monthly Recurring Revenue (MRR) attribution: Which features/users drive MRR
- • Customer Acquisition Cost (CAC) payback: Time to recover acquisition costs
- • Net Revenue Retention (NRR) indicators: Expansion vs. churn signals
- • Expansion revenue signals: Usage-based upsell opportunities
- • Usage-based billing insights: Track usage patterns for billing
- • Seat expansion opportunities: Identify accounts ready for more seats
Lifecycle Stage Tracking
- • Trial users: Track trial engagement and conversion likelihood
- • Activated users: Users who reached "Aha! moment"
- • Power users: High-engagement users driving retention
- • At-risk users: Users showing churn signals
- • Churned users: Track for win-back campaigns
Feature Usage Analytics
Product Analytics Questions
- • Which features do power users use?
- • Which features drive retention?
- • Which features are ignored? (candidates for deprecation)
- • Feature discovery pathways
- • Feature adoption curves
Event Tracking Examples
- ✓ User invited team member
- ✓ User created first project
- ✓ User integrated with [external tool]
- ✓ User upgraded to paid plan
- ✓ User reached usage limit
Onboarding & Activation Optimization
WysLeap shows you exactly where YOUR users drop off. Identify which onboarding step causes the most drop-off and optimize accordingly.
Identifying "Aha! Moments"
We analyze behavior patterns to identify which actions correlate most strongly with long-term retention. Common "Aha! moments":
Inviting Team Member
2x retention increase
Completing First Project
3x retention increase
Receiving First Alert
5x retention increase
Trial-to-Paid Conversion
High Conversion Likelihood Signals
Strong Conversion Predictors
conversion predictor
conversion predictor
conversion predictor
conversion predictor
conversion predictor
Low Conversion Signals
• Only logged in once
• No meaningful actions taken
• Never invited team members
• Abandoned during setup
Sales Handoff Workflow
When trial user reaches 85+ intent score:
- → Auto-notify sales rep
- → Include usage summary (features used, activation status)
- → Suggest personalized outreach based on behavior
- → Track sales follow-up effectiveness
Churn Prediction & Prevention
Churn Leading Indicators
- • Declining login frequency: 30% decrease = risk
- • Feature usage drop-off: Stopped using key features
- • Support ticket increase: Frustration signals
- • Team member removals: Account downsizing
- • Downgrade inquiries: Price sensitivity
- • Decreased session duration: Disengagement
Churn Risk Scoring
Immediate intervention needed
Proactive outreach recommended
Monitor and nurture
Churn Prevention Playbook
User: admin@company.com
Signals:
- • Last login 14 days ago (previously daily)
- • Removed 2 team members last month
- • Feature usage down 70%
- • Trial ended, no upgrade
Recommended Actions:
- Personal outreach from account manager
- Offer extended trial or discount
- Product training session
- Feature recommendations based on use case
Cohort-Based Churn Analysis
Example Insight: "Users who activate Feature X have 40% lower churn than those who don't."
Recommendation: Promote Feature X during onboarding to reduce churn.
Integration & Data Export
Reverse ETL - Export Usage Data
Export usage data to your existing tools for sales scoring, marketing automation, and customer success:
Salesforce
For sales scoring and lead prioritization
HubSpot
For marketing automation
Intercom
For targeted messaging
Slack
For churn alerts
Data Warehouse
For custom analysis
API Access for Product Teams
Programmatic access to usage data for custom integrations:
- • User engagement scores
- • Feature usage data
- • Activation metrics
- • Churn predictions
- • Custom event data
How WysLeap Compares
vs. Mixpanel/Amplitude
Mixpanel/Amplitude
- • Cookie-dependent tracking
- • Consent complexity (EU)
- • Requires manual cohort creation
- • Generic analytics
WysLeap
- • Privacy-first, no cookies needed
- • No consent banners required
- • Built-in intent scoring
- • SaaS-specific metrics
vs. Pendo/Heap
Pendo/Heap
- • Heavy, impacts performance
- • Manual analysis required
- • Complex implementation
WysLeap
- • Lightweight, fast implementation
- • Automatic behavioral insights
- • Ready in 15 minutes
vs. Google Analytics
Google Analytics
- • Marketing-focused metrics
- • Generic page tracking
- • Cookie-dependent
WysLeap
- • Product-focused metrics
- • SaaS-specific funnels
- • No cookies needed
Built on SaaS Best Practices
WysLeap understands the SaaS vocabulary and metrics that matter:
- • North Star Metric
- • Product-Market Fit
- • Product Qualified Leads (PQLs)
- • Time to Value (TTV)
- • Expansion Revenue
- • Net Dollar Retention
- • Customer Lifetime Value (CLV)
- • Monthly Recurring Revenue (MRR)
Built on PLG principles from OpenView, SaaStr, and Bessemer's SaaS playbooks.
Pricing That Scales With You
Startup-Friendly
For pre-PMF companies
Volume Pricing
For high-growth scale-ups
Enterprise Features
For multi-product companies
Typical ROI for SaaS Customers
- • 15-25% improvement in trial conversion
- • 10-15% reduction in churn
- • 3-5x faster identification of PQLs
- • 20-30% reduction in time-to-value
Technical Implementation
Easy Integration
Add tracking code to your app. Ready to use in production in 15 minutes.
// Track custom events
wysleap.track('feature_used', {
feature: 'ai_assistant',
success: true,
task_completed: true
});
// Track activation milestone
wysleap.activate('first_project_created');Platform Compatibility
Frontend Frameworks
- • React, Vue, Angular support
- • Next.js, Remix integration
Backend & Mobile
- • Server-side tracking available
- • Mobile SDK (iOS, Android)
- • Backend API for server events
Auto-Segmentation for SaaS
Automatically segment users by SaaS-relevant criteria:
- • Trial vs. Paid users
- • Plan tier (Free, Pro, Enterprise)
- • Activation status
- • Engagement level (power users, casual, at-risk)
- • Feature adoption cohorts
- • Signup source (organic, direct, paid, referral)
What SaaS Companies Say
"WysLeap helped us identify that users who connected our Slack integration in the first session had 5x higher retention. We made Slack integration our primary onboarding CTA and saw conversion increase 40%."
— Founder, PLG SaaS
"As an AI-first product, traditional analytics couldn't tell us if our agent was actually helping users complete tasks. WysLeap's task completion tracking showed us which prompts worked and which confused users."
— PM, Agentic AI Startup
"For our healthcare SaaS, privacy was critical. WysLeap's account-based analytics let us track provider workflows without collecting patient data, which was exactly what we needed for compliance."
— CTO, Healthcare SaaS
Frequently Asked Questions
How do you track logged-in user behavior across devices?
WysLeap uses fingerprinting to track users across sessions on the same device/browser. For cross-device tracking, we rely on login events. When a user logs in on multiple devices, we can link their sessions through their authenticated user ID.
Can I segment by subscription plan or feature access?
Yes. You can segment users by subscription plan (Free, Pro, Enterprise), feature access, activation status, engagement level, and more. Segments update automatically as user behavior changes.
Do you integrate with Stripe/Chargebee for revenue analytics?
WysLeap provides API access to export usage data. You can integrate with Stripe, Chargebee, or other billing platforms via our API or Reverse ETL integrations to combine usage data with revenue data for comprehensive analytics.
How do you handle multi-tenant SaaS architectures?
WysLeap supports account-based analytics, allowing you to track multiple users within the same organization. You can aggregate behavior across team members, provide role-based analytics (admin vs. user), and track account-level metrics for multi-tenant architectures.
Can I export PQLs to my CRM automatically?
Yes. Through our Reverse ETL integrations or API, you can automatically export Product Qualified Leads (PQLs) to Salesforce, HubSpot, or other CRMs. Set up automated workflows to sync high-intent users based on product usage signals.
What's the difference between your analytics and Amplitude?
WysLeap is privacy-first (no cookies needed), includes built-in intent scoring and churn prediction, and focuses on SaaS-specific metrics like activation, PQLs, and trial conversion. Amplitude is cookie-dependent, requires manual cohort creation, and is more generic. WysLeap is also lighter-weight and faster to implement.
Built for Modern SaaS Companies
Whether you're building Agentic AI, optimizing PLG activation, or serving regulated industries—get privacy-first analytics that measure what matters for SaaS growth.