Userpilot Features: The Complete Product Growth Platform

Userpilot includes dozens of features across onboarding, product analytics, user feedback, AI, email, mobile, and integrations. Product and customer success teams reach for it to do four jobs: get users to activation faster, improve feature adoption, collect feedback, and understand what is working.

This guide walks through every Userpilot feature, explaining what it does, how to use it, and where it delivers the most value.

Userpilot in 2026: Full product experience platform

Userpilot is a no-code product experience platform covering product analytics, session replay, in-app flows, user feedback, multi-channel Workflows, and Lia, its AI agent. Product and customer success teams build, test, and update experiences without engineering for most tasks. That breadth is the story of the past two years: what was an onboarding-and-analytics tool now closes much of the distance between spotting friction and fixing it, and it measures AI agents as their own class of user.

Being straight about fit matters more than a feature count. Userpilot is built for mid-market and enterprise SaaS, has no freemium plan, and starts at $299/month billed annually. If you need a sub-$100 tier or a free plan to bootstrap a pre-product-market-fit startup, this is not the tool, and lighter options will serve you better.

The evolution is what customers tend to notice first. One G2 reviewer put the ease-of-use point plainly:

“I like how easy it is to use Userpilot; it’s really simple to learn and start creating the solutions it allows. Additionally, it has incredible support for technical issues; whenever we request help, their support team is willing to assist. It’s very valuable because, in case of doubts, queries, or additional support, we contact technical support directly and within a few hours, we have responses and even calls to resolve the concerns. This is very important to avoid wasting time and to make the most of the tool. I also like that with just a few clicks, we can create onboardings, step-by-step guides, or presentations of new tools and measure their impact on the user. The tool allows us to visualize the usage and events generated by users in their sessions, which is truly useful for making decisions and analyzing the usage patterns of our product. The initial setup was very simple; with support and a developer, we had the product up and running in less than two days.”

For a fuller account of how the platform fits together across teams, our product experience guide covers the same ground from the customer success and leadership angle. The rest of this piece goes feature by feature, with the plan for each capability stated as I go.

User onboarding and in-app engagement

Onboarding and engagement run on the same no-code builder, so the flow you build to activate a new user and the message you send to re-engage a dormant one come from one place. Engagement is omnichannel across in-app, email, and mobile, orchestrated by Workflows. I cover Email and Mobile in their own sections below, so here I focus on the in-app foundation and the logic that targets it.

Flows and UI patterns

These are built with a no-code Chrome extension WYSIWYG editor, and no engineering is required. The UI patterns are tooltips, hotspots, banners, modals, slideouts, driven actions, embeds, and spotlights. Every core UI pattern is available on every plan, including Starter, which is unusual in this category.

Tooltips and modals

Tooltips attach natively to elements, so they appear anywhere the element is present rather than being pinned to a single page. Modals are built from six templates or from scratch, with blocks for buttons, text, images, video, input forms, and custom JavaScript.

AI content assistant

An AI content assistant helps write, shorten, or extend flow and tooltip copy. A newer AI content generation capability is still rolling out and is listed on the pricing page as “AI Content Creation” as coming soon.

Onboarding checklists

Onboarding checklists use the same no-code builder, with smart tasks that trigger a flow, redirect a user, or run a custom JavaScript function on completion. A checklist analytics dashboard tracks completion by segment, so you can see which cohorts finish and which stall.

Welcome surveys

Welcome surveys appear on first login to capture role, use case, or goal. Their answers create segments automatically, so different users get different onboarding paths from the start.

User segmentation

Segmentation is the foundation that makes all of this contextual. Segments are built from user data, company data, feature usage events, NPS scores, and survey responses, and the same segment you use to filter an analytics dashboard is the one that triggers a flow. Starter is capped at 10 segments, while Growth and Enterprise are unlimited.

Trigger logic, testing, and localization

Trigger logic combines behavior, segment, page or URL, and event occurrence, so the right message reaches the right person at the right moment. A/B and multivariate testing are built in and available on Growth and above, which lets you prove a flow works before scaling it. Localization is a Growth capability at up to 5 languages and unlimited on Enterprise, and it is not on Starter.

Workflows

It is behavior-triggered, multi-channel orchestration across in-app, email, and mobile, with branching logic, and it sits on Growth and above. A single Workflow might send an in-app message when a user completes an activation step, follow up with an email if they have not returned within 48 hours, and add a push notification if they are active on mobile. The whole sequence runs on what the user does, not a fixed calendar.

Product analytics and diagnosing friction

The clearest way to think about Userpilot analytics is as a triage workflow: find where users drop off, understand why, then fix it in-product. This is where the closed loop is most visible, because the reports that surface the problem and the flows that resolve it live on one platform. I will walk the stack in that order.

Analytics dashboards and trends

Analytics dashboards come pre-built and custom. Starter includes usage trend reports and dashboards, and custom dashboards are Growth and above. Trend reports give you custom metrics and charts on behavior over time on all plans.

Funnel reports and path analysis

Funnel reports show stage-by-stage conversion and completion time, and they are saveable, exportable, and filterable by segment, company, or period. They are Growth and above. Path analysis maps the exact sequences of up to 10 steps leading to or following a key event, filterable by user properties or segment, and it is also Growth and above.

Cohort and retention analysis

It gives you retention tables and line graphs, linear and cumulative, at the user and company level, on Growth and above. Clicking into a cell reveals the specific users retained in that period.

Event tracking via autocapture

Event tracking runs via autocapture for client-side clicks, hovers, and form inputs, named with the visual labeler, plus custom server-side events through the API. Visually labeled, custom, and retroactive autocapture are Growth and above, while analytics filters let you segment and company-filter across dashboards.

Session replay

Session replay lets you watch real user sessions, fully linked to analytics, with automatic frustration indicators such as rage clicks and errors, plus console logs and network performance. You can filter replays by segment, event, or funnel stage, jump from an analytics drop straight to the relevant footage, and add time-stamped comments, tags, playlists, and bug flags.

Replay sits on Growth and above; unlimited session capture is a paid add-on on Growth and Enterprise; retention is 30 days on Growth and custom on Enterprise; and Session Heatmaps, AI Session Summaries, and AI Suggested Replays are marked as coming soon and remain off the live list.

Mobile analytics and real-time signals

Mobile analytics brings funnels, trends, and paths to mobile app usage through the SDK, with the same reporting as web, and it is a paid add-on covered in the Mobile section. Real-time custom signals and notifications are live on Growth and above, so the platform can alert you when a metric moves. “AI Powered Insights” is marked as coming soon on the pricing page, so AI anomaly detection is not live yet.

Security and compliance

Session data is covered by Userpilot’s SOC 2 Type 2, HIPAA, and GDPR compliance, which apply to all plans. That is worth stating plainly for anyone evaluating replay under a security review, because the compliance posture does not change as you move up tiers.

The triage loop in practice

When we launched Userpilot’s own Email feature, the funnel showed a large drop-off at the domain verification step, and I could see that users had access but were not activating. I watched session replays to confirm what was happening, then built an in-app checklist and tooltip to walk users through setup.

“Within a few hours, I just created a targeting tooltip and showed it to users and highlighted the correct steps for them to make it clear what to do next. That helped a lot on reducing friction and supporting users in real time without involving our dev team.”

The same fix through engineering would have taken about a week. That gap, a few hours against a week, is the practical value of building the diagnosis and the fix on one no-code platform.

User feedback

Analytics shows what users do, feedback shows why, and both live on the same platform, so a detractor’s comment sits next to the behavior that produced it. Userpilot covers structured surveys and passive, always-on collection, and the targeting reuses the segments you already built.

In-app surveys

This starts from a library of 15+ prebuilt templates organized by category and use case: product feedback and product research, customer experience for CSAT and CES. It’s marketing for new-user insight and attribution, and sales for lead qualification.

The formats cover NPS, CSAT, CES, PMF, PES, welcome, exit, and open-ended surveys, and each template can be customized or built from scratch with multiple-choice, Likert scale, and open-text questions, plus if-else branching. Contextual triggering after an action, at a milestone, or on a specific page pairs with segment targeting, and the broader in-app survey suite is Growth and above.

NPS surveys and dashboard

NPS surveys and the NPS dashboard show response rate, the promoter, passive, and detractor split, the trend over time, and individual responses, and NPS works as a segmentation condition to retarget detractors. NPS is available on all plans, including Starter, which makes it a useful entry point for teams starting on the low tier.

Survey analytics, localization, and targeting

Survey analytics give per-survey breakdowns sortable by segment, company, and period. Survey localization uses AI-assisted translation, and its gating follows the platform rule of Growth up to 5 languages and Enterprise unlimited. Audience targeting covers all users, test-only, segment-based, or condition-based delivery.

Two AI helpers, AI Feedback Summaries and AI Sentiment and Thematic Analysis, are both marked as coming soon on the pricing page, so treat them as a roadmap rather than live.

Email

Behavior-triggered campaigns

Email is a live, dedicated channel for behavior-triggered messages that works alongside in-app guidance, and any old “coming soon” note no longer applies. Campaigns send based on in-app conditions and user behavior rather than a fixed schedule, so an email fires because of what a user did in the product.

Drag-and-drop builder and Workflows

The drag-and-drop email builder supports templates, buttons, links, and signatures, and it feels like any modern email tool. Email is also one channel inside multi-channel Workflow sequences, which is how it coordinates with in-app messages and push. As a plan detail, Email Engagement is included on Growth and above and is not on Starter.

Mobile

Mobile onboarding and analytics

Mobile gives you the same onboarding and engagement toolkit, delivered through the SDK. The onboarding patterns include slideouts, carousels, push notifications, and surveys, and they carry the same advanced controls as web across trigger conditions, segmentation, and localization. Analytics on mobile reports in-app events and screen views with the same funnels, trends, and paths you use on the web.

Mobile plans and add-ons

Mobile is a paid add-on on Growth and Enterprise, not an included capability, and it is not on Starter. One roadmap note: Mobile Session Replay is marked coming soon.

In-app support

Resource center

The resource center is the in-product help hub, so users get unstuck without leaving the app. It is built with a no-code builder as a branded, in-product help center, and content modules include knowledge base articles, internal and external links, tutorial videos, in-app flows, custom JavaScript, and checklists, groupable into sections. Modules support segment-based show and hide, so different user types see different help.

Search and resource center analytics

A search bar with search-term analytics surfaces the content users look for and cannot find, which is a direct signal for what to write next. Resource center analytics track visitors, module clicks, and click-rate trends. The resource center is Growth and above.

James Mitchinson, Head of Customer Success at Userpilot, coaches customers on the same playbook his own team runs. His point is that users should be free to explore, but the moment they get stuck, they need to get unstuck fast, and forcing them to Google your knowledge base is friction a free trial cannot afford.

The team has seen a clear reduction in support tickets for the friction areas where they added targeted tooltips and resource center content at the points where users historically got stuck.

Userpilot AI

Userpilot AI holds two capabilities that carry most of the 2026 story: Lia, the agent that acts on your product data, and Agent Analytics, which measures the AI agents inside your product. They answer different questions, so I cover them separately.

Lia, Userpilot’s AI agent

Lia is Userpilot’s built-in AI agent that helps teams understand product behavior and act on insights without manually building reports or dashboards. You can ask questions in natural language or use one of Lia’s 15 built-in skills, which automatically analyze the relevant data and explain the results in plain language.

The built-in skills cover common product analysis tasks such as Analyze Activation, Analyze Feature Adoption, Analyze Feature Launch, Analyze Segment, Analyze Account Health, Analyze Retention, Analyze Dashboard, Analyze Survey, and Summarize User Sentiment. Lia combines product usage events, feature data, user and company properties, session replays, NPS responses, surveys, and content engagement into a connected view, giving teams the context they need to understand what’s happening and what to do next.

Lia building an in-app onboarding flow from a plain-language description. You set the outcome; Lia builds the experience. Beyond answering questions, Lia continuously monitors key product metrics and surfaces important changes, opportunities, and risks as they happen. It can also turn insights into reports, checklists, surveys, and in-app flows, helping product, UX, customer success, and marketing teams move from insight to action faster.

Lia is actively expanding, with new AI capabilities continuing to roll out across the platform. While the core AI agent and its built-in skills are available, some AI features listed on the pricing page are still marked Coming Soon or are available only on specific plans.

Agent Analytics, measuring AI agents as a distinct user type

Some of the users in your product are now AI agents, and they generate usage data without clicking, scrolling, or triggering the human events your analytics were built around. Agent Analytics is a separate stream that measures the AI agents you deploy, and it is live in the platform. If you read agent activity through a human-behavior lens, you either misread it or miss it entirely.

Agent Analytics measures a defined set of things:

• Conversation volume: Usage trends, peak demand, and how engagement evolves over time.
• Resolution rate: How often the agent resolves a user need without escalation, plus a failure rate for when it does not.
• Activation and adoption lift: How agent interactions drive feature discovery and product adoption.
• Satisfaction score: User sentiment and experience quality per conversation.
• Topics and intent: The top questions users ask, topic trends over time, and unmet needs before they become churn signals.
• Conversation entry points and queries per user: Where users first turn to an agent and how often.
• Business impact: Links agent interactions to retention, adoption, and revenue, and flags where agents lose users so you can fix it before it drives churn.

The stream is organized into three analytical layers: Usage Overview, Topics and Intent, and Failure Signals. Most teams will not need Agent Analytics the day they read this, but if your product has an AI component or you are about to add one, it will be there when you do.

Integrations, data sync, and MCP

Userpilot connects to the rest of your stack in three ways: native integrations that feed segmentation, warehouse sync for your own analysis, and an MCP Server that brings product data into your AI tools. Each has its own plan gating, so I will take them in turn.

Integrations

Native integrations flow data one-way into Userpilot for segmentation and triggering, and they are available across plans: Segment, Mixpanel, Amplitude, Heap, Intercom, and Slack. Google Analytics, Google Tag Manager, and Zendesk are also listed on Userpilot’s pages. HubSpot is a two-way integration, so behavioral signals can update CRM properties, and Salesforce is also supported, both as add-ons on Growth and Enterprise.

Developer integrations and Data Sync

For developers, Webhooks run 3 on Growth and unlimited on Enterprise, and are not on Starter, while the HTTP API is Growth and above. Bulk event import and export are add-ons on Growth and Enterprise. Data Sync pushes Userpilot product data into your data warehouse for analysis in your own stack, sits under the Data menu, and is an Enterprise-level capability, which pairs with the bulk export and outbound webhook options on higher plans.

The Userpilot MCP Server

The MCP Server lets teams add Userpilot as an MCP server inside the AI tool of their choice and ask questions in plain language, so retention trends, adoption metrics, and at-risk accounts arrive where decisions happen. It is live. Connecting Userpilot gives an AI tool the full picture of behavioral signals, NPS, session data, surveys, content engagement, and onboarding context.

What Userpilot exposes to the tool is specific: events and features, user and company data, surveys and sentiment, content engagement, NPS, and session replay. It works with Claude, ChatGPT, Cursor, Copilot, and any MCP-compatible tool. People in marketing, customer success, sales, and leadership can query it without a Userpilot seat.

How teams use Userpilot

Feature lists only matter if teams get results from them, so here are three recent customer stories, each mapping to one of the arguments this guide has been making. I am reporting the figures as the customers’ own results.

Doppler: one platform and longer lifetime value

Doppler is the consolidation and expansion story. The team moved onto Userpilot from Beamer and now runs analytics, in-app engagement, and feedback in one place, with the product lead tagging roughly 90% of events himself through the no-code visual labeler. Average customer lifetime value rose from 11 to 15 months, about a 36% increase credited to onboarding flows and checklists, alongside a 2- to 3-minute lift in average session duration, in the Doppler case study.

Jiminny: the closed loop, made repeatable

With Jiminny, the closed loop is the point. The team connected Userpilot’s analytics to in-app engagement to build a repeatable feature-adoption process, with no-code event tracking that removed the engineering dependency. 79% of customers for whom they launched custom onboarding flows renewed for another year, in the Jiminny case study.

Cleeng: diagnose, then fix

Cleeng shows the diagnose-then-fix triage. A UI redesign moved a feature tab and caused a 92% drop in feature usage, which the team caught on Userpilot’s page analytics. The team’s tooltip recovered visits by 75% against the post-redesign low, session replay confirmed the cause, and they then shipped a data-backed redesign, in the Cleeng case study.

Userpilot pricing

Pricing is based on monthly active users across three plans, and the split shifts as AI features roll out. I have listed what each tier includes below, using the live figures and the accurate plan split from Userpilot’s pricing page.

Starter

Starter is $299/month billed annually for up to 2,000 MAUs. It includes in-app engagement with all core UI patterns, checklists, user segmentation and tracking up to 10 segments, usage trend reports, NPS surveys, the core native integrations, 3 seats, 1 year of data retention, and SOC 2 Type 2, HIPAA, and GDPR compliance.

Growth

Growth starts from $849/month and scales with MAUs. It adds advanced product analytics with funnels, paths, retention, cohorts, and custom dashboards, event autocapture, the resource center and advanced in-app surveys, Email, Workflows, event-based triggering, A/B testing, localization up to 5 languages, custom CSS, a staging environment, session replay with 30-day retention, 3 webhooks and the HTTP API, 15 seats, 3 years retention, and phone support. Mobile and unlimited session capture are paid add-ons, and HubSpot and Salesforce are CRM add-ons.

Enterprise

Enterprise is custom. It adds premium integrations, bulk data export and import, data warehouse sync, unlimited localization, multi-application and cross-application analytics, custom roles and permissions, SAML 2.0 SSO, activity logs, security audit and compliance, a custom SLA, unlimited seats, and custom data retention.

If you are weighing which tier fits, book a demo, and the team can walk through the plan that matches your use case and MAU range.

Get started with Userpilot

Userpilot helps teams ship experiences, guide users to value, and act on friction without engineering for most tasks, across analytics, in-app flows, feedback, Email, Workflows, and Lia. Everything in this guide runs on one no-code platform, which is what lets a funnel drop become an in-product fix the same day.

To see how it maps to your product, book a Userpilot demo and walk through your use cases with the team.