Pelin vs Fullstory: AI Feedback Analysis vs Session Replay

Product teams need to understand their customers, but there are fundamentally different approaches to getting those insights. Pelin and Fullstory represent two distinct philosophies: analyzing what customers say versus observing what they do.

Let's break down how these tools compare and when you might choose one over the other.

Quick Comparison

What Each Tool Does

Pelin: AI-Powered Feedback Analysis

Pelin takes an input-driven approach. It connects to the tools where customers already share feedback—support tickets from Intercom or Zendesk, survey responses from Typeform, sales call recordings from Gong, and more—then uses AI to automatically categorize and surface insights.

Key Strengths:

• Multi-source aggregation: Pulls feedback from 15+ integrations including Intercom, Zendesk, Gong, Slack, and Typeform
• Automatic categorization: AI identifies pain points, feature requests, positive feedback, confusion points, and churn signals without manual tagging
• Company tracking: Links feedback to specific accounts for customer health visibility
• Trend detection: Spots emerging patterns before they become widespread issues
• Semantic search: Find feedback across all sources with natural language queries

Fullstory: Digital Experience Intelligence

Fullstory takes an observation-driven approach. It records user sessions on your website or app, capturing clicks, scrolls, rage-clicks, and other behavioral signals. The platform uses this data to understand user journeys and identify friction points.

Key Strengths:

• Session replay: Watch exactly what users do in your product
• Frustration detection: Automatically identifies rage clicks, error clicks, and dead clicks
• Heatmaps: Visualize where users click and scroll
• Journey mapping: See common paths through your product
• Quantitative metrics: Click rates, engagement metrics, funnel analysis

Different Problems, Different Solutions

When Pelin Shines

Understanding the "why" behind customer behavior: Pelin excels when you want to understand customer sentiment, feature demand, and pain points at scale. It answers questions like:

• What are the top 5 feature requests this quarter?
• Which customer segments are expressing frustration?
• Are enterprise customers asking for different things than SMBs?
• What competitors are customers mentioning?

Aggregating scattered feedback: If your customer feedback lives in 10 different places (support inbox, Slack channels, survey tools, call transcripts), Pelin brings it all together automatically. No more manual synthesis.

B2B and high-touch sales: For B2B products where customers communicate through support and sales channels rather than leaving behavioral trails, Pelin captures insights that session replay would miss entirely.

When Fullstory Shines

Debugging specific UX problems: If users are dropping off at a specific point in your funnel, watching session replays reveals exactly where they get confused. You see the hesitation, the backtracking, the rage clicks.

Conversion optimization: E-commerce and high-volume consumer products benefit from seeing exactly how users interact with checkout flows, form fields, and CTAs.

Visual evidence for stakeholders: Sometimes seeing a user struggle for 30 seconds trying to find a button is more persuasive than any analytics chart.

Integration Approach

Pelin's "No Code on Your Site" Model

Pelin doesn't require installing tracking code on your website or app. It connects to your existing tools via API integrations:

• Support platforms (Intercom, Zendesk, Freshdesk, Front)
• CRM systems (Salesforce, HubSpot)
• Communication tools (Slack, Gmail)
• Call recording (Gong)
• Documentation (Notion, Confluence)
• Survey tools (Typeform)

This means zero engineering involvement for initial setup, no impact on page load times, and no additional privacy concerns about tracking user behavior.

Fullstory's Client-Side Tracking

Fullstory requires installing a JavaScript snippet on your website or SDK in your mobile app. This enables session recording but comes with considerations:

• Engineering involvement for implementation
• Privacy compliance (GDPR, CCPA) requires configuration
• May impact page performance slightly
• Need to configure what data to exclude (passwords, sensitive info)

Privacy Considerations

This is where the tools differ significantly.

Pelin analyzes data customers have already explicitly shared—support tickets, survey responses, reviews. There's no additional tracking or data collection. The feedback exists whether Pelin processes it or not.

Fullstory records user sessions, which requires careful privacy configuration. While they offer privacy controls and data masking, you're fundamentally recording user behavior, which has compliance implications in certain regions and industries.

For healthcare, finance, or other regulated industries, this distinction matters.

Pricing Philosophy

Pelin prices based on the volume of feedback processed. If you have 1,000 support tickets and 500 survey responses per month, that's your usage.

Fullstory prices based on sessions recorded. High-traffic consumer sites can quickly generate thousands of sessions, making costs scale with traffic rather than insights generated.

Use Case Scenarios

Scenario 1: B2B SaaS with Long Sales Cycles

A B2B software company with 200 enterprise customers wants to understand what features to prioritize next quarter.

Pelin fit: Excellent. Aggregates feedback from sales calls (via Gong), support tickets (via Zendesk), and Slack conversations to surface top requests linked to specific accounts and revenue.

Fullstory fit: Limited. Session replay shows individual user behavior but doesn't capture the strategic conversations happening in sales cycles or support threads.

Scenario 2: E-commerce Checkout Optimization

An online retailer sees cart abandonment at 70% and wants to improve checkout conversion.

Pelin fit: Can surface complaints about checkout process from support tickets and reviews, but doesn't show exactly where users drop off.

Fullstory fit: Excellent. Session replay reveals exactly where users hesitate, rage-click, or abandon. Heatmaps show which elements get attention.

Scenario 3: Product Team Prioritization

A PM needs to justify roadmap decisions to leadership with customer evidence.

Pelin fit: Shows aggregated demand across all customers, sentiment trends, and specific quotes—great for building business cases.

Fullstory fit: Shows behavior patterns but doesn't capture explicit customer requests or sentiment.

The Complementary Approach

Here's the truth: these tools answer different questions.

Pelin answers: What are customers telling us? Fullstory answers: What are users doing?

The most sophisticated product teams use both approaches:

1. Fullstory identifies behavioral issues (where users struggle)
2. Pelin reveals the customer voice (what customers want)

Together, you see the complete picture: behavior AND sentiment, actions AND words.

Our Honest Recommendation

Choose Pelin if:

• Your customers communicate through support, sales, and surveys
• You need to aggregate feedback from multiple sources
• You're B2B or have high-touch customer relationships
• Privacy compliance is a major concern
• You want insights without installing tracking code

Choose Fullstory if:

• You need to debug specific UX issues
• You're optimizing high-volume consumer funnels
• Visual evidence of user behavior would help your team
• You're comfortable with session recording privacy implications

Consider both if:

• You want complete visibility into customer experience
• You have resources to manage two platforms
• Your product has both self-serve and high-touch customer segments

The best insights come from understanding both what customers do AND what they say. The question is which signal is more valuable for your specific situation right now.