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Build Better Products, Faster.

Userpilot is an AI-powered product analytics and product growth platform for SaaS companies. It helps product, growth, customer success, UX, and marketing teams understand how users behave inside their product, identify friction, predict outcomes, and improve activation, feature adoption, engagement, retention, and expansion.

With Userpilot, teams can analyze user and account behavior, collect feedback, watch session replays, measure product usage, and act on product insights with personalized in-app, email, and mobile experiences.

Userpilot helps SaaS teams understand what users do inside their product and turn those insights into better product experiences. Teams use Userpilot to analyze funnels, paths, trends, cohorts, feature adoption, user segments, account behavior, feedback, and session replays.

Userpilot also helps teams act on analytics data by launching targeted onboarding flows, checklists, tooltips, modals, banners, surveys, resource centers, email campaigns, and mobile experiences. With Userpilot AI, Lia, MCP Server, and Agent Analytics, teams can also ask questions about users and product behavior, predict risks and opportunities, and measure the performance of AI agents.

Userpilot is built for B2B SaaS companies and digital product teams that want to improve product analytics, onboarding, feature adoption, retention, and product-led growth. It is used by product managers, product marketers, growth teams, UX researchers, customer success teams, support teams, lifecycle marketers, and revenue teams.

Userpilot is especially useful for teams that want to connect product analytics with action, so they can understand user behavior and immediately guide users toward the next best step.

Yes. Userpilot is a product analytics platform that helps teams understand user behavior across the product journey. Teams can use Userpilot Analytics to analyze product usage, activation, feature adoption, funnels, paths, trends, cohorts, retention, user journeys, and account health.

Unlike standalone analytics tools, Userpilot connects product analytics with in-app engagement, surveys, feedback, session replay, email, mobile engagement, AI insights, and automation. This helps teams move from "what happened?" to "what should we do next?"

Userpilot Analytics is the product analytics layer of Userpilot. It helps teams answer questions about users, accounts, product usage, adoption, activation, retention, friction, and engagement.

With Userpilot Analytics, teams can track user behavior, analyze funnel drop-offs, understand product paths, monitor usage trends, compare cohorts, build dashboards, and measure how different users and accounts engage with the product. Teams can then use those insights to trigger in-app experiences, surveys, workflows, and personalized engagement campaigns.

Userpilot provides product analytics reports that help teams understand how users move through the product and where they need support. These include funnel analysis, trend analysis, path analysis, retention and cohort analysis, feature usage analytics, dashboards, segmentation, and session replay.

Teams can use these reports to answer questions such as which features drive activation, where users drop off, which accounts are at risk, what behaviors predict retention, and which product experiences improve engagement.

Userpilot helps teams answer questions about users and product behavior by combining product analytics, user feedback, session replay, AI insights, and behavioral segmentation. Teams can investigate what users are doing, where they are getting stuck, which features they adopt, which accounts are healthy, and which behaviors are linked to activation, retention, or churn.

With Userpilot's AI agent Lia and MCP Server, teams can also ask natural-language questions about product and user data, making it easier to find answers without manually building every report from scratch.

Lia is Userpilot's AI product growth agent. Lia helps teams analyze product and user data, identify patterns, predict outcomes, surface risks and opportunities, and recommend what to act on next.

Teams can use Lia to ask questions about user behavior, product performance, activation, adoption, retention, churn risk, feature engagement, and account health. Lia is designed to help product, growth, customer success, and marketing teams move faster from product analytics to action.

Userpilot uses AI to help teams make faster, smarter product decisions. Instead of manually digging through dashboards, teams can use Userpilot AI to surface insights, monitor key metrics, predict user behavior, identify risk signals, detect growth opportunities, and understand what actions could improve activation, adoption, retention, and revenue.

Userpilot AI connects analytics with action through Lia, MCP Server, Agent Analytics, workflows, in-app guidance, surveys, and personalized engagement.

Userpilot's MCP Server helps teams connect Userpilot data to the AI tools they already use. It brings Userpilot context into AI workflows, so teams can ask questions about users, accounts, product behavior, feedback, and engagement using Userpilot data as the source of truth.

With Userpilot MCP Server, teams can make product analytics more accessible across the organization and use AI tools to answer questions about customer behavior, product usage, account health, activation, retention, and growth opportunities.

Agent Analytics in Userpilot helps teams measure the usage, performance, and business impact of AI agents inside their product. As more SaaS companies add AI agents to their products, teams need to understand how users interact with those agents and whether the agents are helping users succeed.

Userpilot Agent Analytics helps teams measure AI agent conversations, usage patterns, failure signals, frustration, drop-offs, topic trends, and the impact of AI agents on engagement, retention, and revenue.

Userpilot helps teams use product analytics and AI to predict risks, opportunities, and likely user outcomes. Teams can analyze behavioral signals to identify users who may fail to activate, accounts that may be at risk of churn, features that need better adoption, and segments that may be ready for expansion.

With Lia, Userpilot can help teams surface predictive insights and understand what actions to take next, such as launching an onboarding flow, triggering an in-app message, sending a survey, or guiding users toward a high-value feature.

Userpilot combines product analytics, in-app engagement, user feedback, session replay, AI, Agent Analytics, MCP Server, email, mobile engagement, and workflows in one platform.

This means teams do not just analyze product data — they can act on it. Product teams can find friction in a funnel and launch an in-app guide. Customer success teams can spot churn risk and trigger targeted education. Growth teams can identify activation blockers and personalize onboarding. AI teams can measure how users interact with product agents. Lia can help teams ask questions, predict outcomes, and decide what to do next.

Userpilot helps product teams understand how users engage with the product and where they need better guidance. Product teams can use Userpilot Analytics to track activation, feature adoption, funnels, paths, cohorts, retention, user journeys, and product usage.

They can also use Lia to ask questions about product performance, surface risks and opportunities, and identify which user behaviors are linked to activation, retention, or expansion. Then they can act on those insights with in-app onboarding, feature announcements, checklists, surveys, and personalized product experiences.

Userpilot helps customer success teams scale customer education and proactively support users based on product behavior. CS teams can use product analytics to identify low-engagement users, accounts with declining usage, users who are stuck during onboarding, and customers who may be at risk of churn.

They can then trigger contextual in-app guidance, resource center content, surveys, email workflows, and targeted messages to help users get more value from the product. With Lia, CS teams can also ask questions about account health, product usage, risk signals, and customer behavior.

Userpilot helps growth teams improve activation, conversion, engagement, and retention by connecting product analytics with personalized user experiences. Growth teams can analyze where users drop off, which behaviors predict activation, which features drive engagement, and which segments convert best.

They can then use Userpilot to launch onboarding experiments, lifecycle messages, in-app campaigns, email campaigns, surveys, and workflows that guide users toward value. Lia can help growth teams identify opportunities, predict outcomes, and understand what actions are most likely to improve product growth.

Userpilot helps product marketing teams drive feature adoption, improve product launches, and communicate with users inside the product. Product marketers can use Userpilot Analytics to see which users have or have not adopted a feature, which segments are engaging, and how product announcements affect behavior.

They can then launch targeted in-app messages, banners, modals, tooltips, email campaigns, and surveys. With Lia, product marketing teams can ask questions about adoption, engagement, launch performance, and user feedback.

Userpilot helps UX and research teams understand how users experience the product. Teams can combine product analytics, session replay, path analysis, funnel analysis, surveys, and qualitative feedback to identify friction, validate design decisions, and improve user journeys.

Instead of relying only on interviews or assumptions, UX teams can use Userpilot to see what users actually do, where they hesitate, where they drop off, and what feedback they give in context.

Teams can use Userpilot to build onboarding flows, interactive walkthroughs, checklists, tooltips, modals, slideouts, banners, resource centers, in-app surveys, product announcements, and contextual guidance.

These experiences can be personalized using product analytics data, user behavior, account attributes, lifecycle stage, feature usage, engagement level, survey responses, and other segmentation criteria.

Yes. Userpilot includes user feedback tools such as in-app surveys, NPS surveys, CSAT surveys, CES surveys, PMF surveys, feature feedback, and custom microsurveys.

Teams can combine feedback with product analytics to understand both what users do and why they behave that way. For example, a team can identify a drop in a funnel, trigger a survey to understand why, and then launch an in-app experience to reduce friction.

Yes. Userpilot includes session replay to help teams watch how users interact with their product. Session replay gives teams visual context behind product analytics, so they can understand where users get stuck, what causes frustration, and how users navigate key workflows.

Session replay works alongside product analytics, feedback, surveys, and Lia to help teams understand the full user experience.

Userpilot connects analytics with action by letting teams use product data to trigger personalized experiences. Teams can analyze user behavior, identify friction, create segments, and then launch in-app guidance, surveys, workflows, emails, or mobile experiences for the right users at the right time.

This makes Userpilot different from analytics tools that only show reports. Userpilot helps teams understand product behavior and act on it from the same platform.

Teams can use Userpilot to answer questions such as:

• Which users are activating successfully?
• Where do users drop off during onboarding?
• Which features are underused?
• Which behaviors predict retention?
• Which accounts are at risk of churn?
• Which users are ready for expansion?
• What feedback are users giving after key product moments?
• How are AI agents performing inside the product?
• Which product experiences improve adoption?
• What should the team prioritize next?

With Lia and MCP Server, teams can make these questions easier to answer across product, growth, CS, marketing, and leadership workflows.

Userpilot is used by SaaS companies and digital product teams of all sizes — from large enterprises and publicly listed companies like Zoura, Adobe, DHL, and Reiffeisen to disruptive tech startups like Leadfeeder and Brevo that want to improve product analytics, user onboarding, feature adoption, user engagement, customer retention, product-led growth, and expansion.

It is especially useful for teams that want to understand user behavior and act on insights without relying on engineering for every product experience change.

Yes. Userpilot is designed to help non-technical teams analyze product behavior, segment users, collect feedback, and build in-app experiences without writing code for every change.

Engineering support is typically needed for implementation and data setup, but day-to-day analysis, onboarding, surveys, segmentation, engagement, and experimentation can be handled by product, growth, CS, UX, and marketing teams.

Userpilot integrates with the tools SaaS teams already use across product, customer success, sales, marketing, analytics, and data workflows. Teams can connect product and customer data, sync information across systems, and use that data to power smarter targeting, analytics, and engagement.

With Userpilot MCP Server, teams can also bring Userpilot data into AI tools and workflows.

Yes. Userpilot is built for SaaS teams and enterprise use cases, with security and compliance standards including SOC 2 Type II, GDPR, and HIPAA listed on Userpilot's website.

Userpilot is designed to help teams analyze product and customer data while maintaining strong data protection, privacy, and security practices.

Userpilot was founded by Yazan Sehwail, CEO and Co-Founder. Userpilot was created to help product teams understand users, improve product experiences, and build in-app guidance without relying on engineering for every change.

Today, Userpilot helps SaaS teams combine product analytics, in-app engagement, feedback, session replay, AI, and automation to build better products and drive growth.

Userpilot's mission is to empower teams to build better products. Userpilot helps teams understand user behavior, answer product questions, predict risks and opportunities, guide users to value, collect feedback, and continuously improve the product experience.

By combining product analytics, AI, in-app guidance, feedback, session replay, MCP Server, Agent Analytics, and automation, Userpilot helps teams turn product data into better user outcomes.

Product teams choose Userpilot because it helps them understand, predict, and improve the user journey from one platform. With Userpilot, teams can analyze product usage, ask questions about user behavior, identify friction, measure adoption, collect feedback, replay sessions, and launch personalized experiences.

Userpilot helps teams move beyond dashboards by connecting product analytics with action, AI-powered insights, Lia, MCP Server, and Agent Analytics. This helps SaaS teams improve activation, adoption, retention, customer satisfaction, and long-term product growth.