Pendo vs. WalkMe in the AI Era

Comparing Pendo vs. WalkMe means weighing two different approaches to AI-powered adoption. Pendo focuses on understanding user behavior and driving adoption in customer-facing products, while WalkMe helps enterprises train employees and guide them through complex internal applications.

As a product marketing manager, I use behavioral data and in-app messaging to support product launches and feature adoption. My experience shapes how I evaluate these platforms. I’m interested in answering questions like: Can you identify where users struggle and deliver guidance that helps? How much of that work can AI handle, and what will your team still need to do manually?

Both platforms have expanded their AI suites, making those questions harder to answer from a feature list alone. This guide provides well-researched answers, alongside a closer look at:

• How SAP’s acquisition of WalkMe ties its direction to SAP’s enterprise software strategy.
• What each platform costs and how difficult it is to set up.
• When Userpilot makes more sense for SaaS teams that need onboarding and in-app engagement.

Pendo vs. WalkMe vs. Userpilot at a glance

What does Pendo do, and who is it for?

Pendo is a product experience platform that combines behavioral analytics with in-app guidance. The core idea is that you can see where users drop off, then respond with a targeted tooltip, checklist, or modal without needing engineering to build each intervention.

Its primary audience includes product managers, UX teams, and customer success teams at companies with customer-facing products. Pendo also positions its platform for IT teams managing employee adoption of workplace software and for revenue growth teams using product data to expand usage.

When evaluating Pendo, consider whether you need its established product analytics and customer-facing guidance use case or the broader employee adoption and revenue use cases it now promotes.

Pendo has made substantial AI investments, including:

• Pendo for Agents: Combines Agent Toolkit, which gives AI agents context about a user’s recent activity so they can offer relevant help, with Agent Analytics, which shows teams what users ask and where agents struggle.
• AI tagging: Scans apps to identify key pages and features, then suggests tags teams can approve and use to track activity in Pendo. Agent Toolkit and AI tagging are in beta and available only to customers with a paid Pendo subscription.
• Novus (closed beta): An AI product agent that connects to your codebase to maintain analytics instrumentation as the product changes, identify UX issues from behavioral data, and propose fixes through pull requests for developers to review.
• Leo: Lets teams ask questions about product usage in plain language and draft in-app guides from simple prompts.
• AI feedback attribution: Matches feedback captured in Pendo to the visitor and account it came from.
• MCP Server: Pipes live Pendo data directly to AI clients such as Claude, ChatGPT, and Cursor.

Pendo’s main strengths:

• Retroactive event tracking: Pendo’s installation snippet captures all click interactions from day one. If you realize, six months in, that you should have been tracking a specific button or flow, you can define it retrospectively as a “Feature” and get historical data immediately. No developer work is required after the initial setup.
• Analytics depth: Funnels, paths, retention cohorts, and session replay are all native. The analytics comparison section covers this in detail, but Pendo’s lead over WalkMe on user behavior analytics is real and consistent across practitioner reviews.
• Seven-year data retention: Meanwhile, WalkMe retains data only for 1 year. Consider the gap if you’re doing longitudinal analysis.
• Free tier: Pendo’s free plan covers up to 500 monthly active users, making early evaluation accessible without a sales conversation.
• AI guide translation: Pendo can translate Guides and Resource Center content into multiple languages, reducing manual localization work for global teams.

Pendo’s main limitations:

• Pricing opacity: The platform is rarely as affordable as teams assume when they first start evaluating it. Because pricing isn’t publicly available, it’s difficult to estimate total cost upfront, and I’ve seen teams discover much later that Pendo requires a larger commitment than they expected. I’ll break this down in detail shortly.
• Hourly analytics lag: Pendo’s reporting dashboards update once per hour, not in real time. In-app guides and flows trigger immediately on client-side events, so the lag only affects reporting. If your team makes decisions based on live and real-time dashboards, this matters.

What does WalkMe do, and who is it for?

WalkMe is enterprise internal employee adoption software, an area where they’re the clear market leader. Think Salesforce, SAP ERP, Oracle, Workday, ServiceNow. That is where WalkMe was built to go deep, and where it still excels.

The platform’s key features:

• SmartTips: Contextual on-screen guidance that surfaces when users hover over or interact with specific elements. SmartTips help users navigate complex enterprise UIs and reduce the learning curve without requiring active help-seeking.
• Smart Walk-Thrus: Step-by-step guided workflows that can include video, articles, and multi-step sequences. In some configurations, WalkMe can automate clicks and form fills within enterprise applications, going beyond what Pendo’s guide layer offers.
• ShoutOuts: Banner-style announcements for communicating process changes, compliance updates, or new features across an employee base. Common in enterprise change management rollouts.
• Launchers: Clickable triggers that let users self-serve specific Walk-Thrus or resources on demand.
• ActionBot: WalkMe’s core automation capability, handling multi-step task automation within enterprise applications, routing users through complex workflows, and reducing manual data entry.
• AI Authoring: Natural-language tool for creating, editing, and querying WalkMe content. For example, you can ask it to “Create a ShoutOut reminding European employees to submit their timesheets by Friday.”
• AI Insights: Conversational analytics tool for asking questions about data from connected WalkMe systems in plain language and getting answers as text, charts, or dashboard widgets.
• UI-native agent: Announced by SAP, this agent operates through an app’s interface, extending SAP’s AI copilot into legacy systems, customized ERP environments, and third-party apps that standard API-based agents can’t access.

WalkMe focuses on workflow analytics and guides performance tracking rather than user behavior analytics. Its session playback and basic guide reporting capabilities are considerably thinner than Pendo’s.

A similar difference shows up when you compare their AI capabilities: Pendo uses AI to help teams improve customer-facing products and the agents that support their users, while WalkMe uses AI to scale employee adoption of internal software.

How the SAP acquisition changed the WalkMe you’re evaluating

SAP paid $1.5B to acquire WalkMe, with the deal closing in September 2024. The acquisition gave SAP a user adoption layer for its notoriously complex enterprise software suite, along with a customer base that already overlapped heavily with SAP’s.

Since the deal closed, the integration has changed considerably. WalkMe’s AI capabilities are now positioned to enhance SAP’s Joule AI copilot, giving Joule context-aware, proactive assistance across enterprise workflows. The Joule Action Bar, built on WalkMe technology, reached general availability in late 2025.

WalkMe is also embedded across SAP solutions like SuccessFactors, Ariba, Concur, and Sales and Service Cloud, with full integration into RISE with SAP. Its incorporation into SAP’s Business Transformation Management portfolio alongside SAP Signavio (process mining) and SAP LeanIX (enterprise architecture) means WalkMe’s roadmap is now coordinated with SAP’s broader enterprise software strategy rather than set independently.

If your company runs SAP, Salesforce, or similar enterprise suites for internal tool adoption, WalkMe’s direction works clearly in your favor. SAP’s backing means deeper native integrations, stronger enterprise security certifications, and long-term investment in exactly the use cases WalkMe was built for. Conversely, if you’re a customer-facing SaaS product team evaluating WalkMe as a user onboarding tool for your own product, you’re buying a platform whose roadmap is pointed at a different audience.

Pendo vs. WalkMe for user onboarding

For customer-facing SaaS onboarding, Pendo and WalkMe were never equally matched, and the SAP acquisition has widened the gap.

• Pendo’s guide builder covers lightboxes, tooltips, banners, in-app messaging, and checklists, designed for product teams guiding new users.
  • Targeting is behavior-driven: teams can deliver guidance based on a user’s segment, product activity, URL, device, or interactions with specific elements.
  • For onboarding, Pendo’s AI can draft a multi-step walkthrough from a prompt.
  • AI localization can generate translations for guide content, which teams can review before publishing.
• WalkMe’s Smart Walk-Thrus, SmartTips, and Launchers were designed for employee adoption of enterprise tools.
  • The platform offers guided compliance with a mandated workflow, not guided discovery of a product someone is evaluating. That distinction shapes how the product is built at a fundamental level.
  • Its newer AI tools add natural-language ways to create supported WalkMe content and query usage data. They make parts of the platform easier for teams to use, but don’t change its core job: helping employees adopt enterprise software.
  • WalkMe Learning Arc can repurpose presentations, videos, and documents as structured courses and deliver them inside enterprise apps. Pendo supports multi-step guides, but it doesn’t let you make them into structured courses.

Pendo vs. WalkMe for product analytics

Pendo gives you deeper user-behavior analytics. WalkMe measures whether employees finish workflows and use your guidance.

Our 2025 benchmark report found an average core feature adoption rate of 24.5% across 181 SaaS companies. On the employee side, Zylo’s 2026 index found that the average organization uses only 54% of its provisioned SaaS licenses.

These figures measure different things, but both highlight the gap between giving people access to software and getting them to use it. Here’s how Pendo and WalkMe help you investigate those adoption gaps.

What Pendo gives you:

• Funnels: Conversion funnel analysis with completion rates, drop-off by step, attempt counts, average completion time, and segment-level filtering. You can see not just where users drop off, but also how many tried and how long the successful ones took.
• Paths: Forward and backward path analysis showing which pages users come from before hitting a specific feature, and where they go afterward. Sortable by segment, date, or individual visitor.
• Retention cohorts: Cohort retention tables for visitors or accounts, with daily, weekly, and monthly cohorts and segment filtering. WalkMe’s retention chart is narrower, tracking continued use of its desktop and mobile menu rather than retention across your product.
• Session replay: Recordings of individual user sessions, combinable with funnel analysis, so you can watch exactly what users were doing when they dropped off a specific step.
• Custom dashboards: Pre-built templates plus configurable dashboards covering onboarding analytics, engagement trends, and product health metrics, all without engineering setup.
• Targeted AI queries: Leo’s saved “lenses” scope analysis to specific apps, product areas, visitor or account segments, and date ranges. You can keep an investigation focused on new enterprise users, for example, rather than mixing their behavior with your entire user base.

What WalkMe gives you:

• Session playback: See where users struggle with a page or process, with one year of history by default. Playback must be enabled separately, and recording stops when your session quota is reached.
• Funnel tracking: Track completion rates, step-level drop-off, and completion times across defined processes, including workflows spanning multiple applications.
• Guide performance analytics: Track Smart Walk-Thru plays and goal completion, plus SmartTip views and validation checks. You can see which guidance employees use and whether they achieve intended outcomes.
• Custom dashboards: Bring together metric widgets from different systems to monitor adoption across your enterprise applications in one view. AI Insights can also turn your queries into saved widgets that keep updating as your data changes.

Pendo vs. WalkMe for ease of use

WalkMe’s complexity lies in implementation and ongoing maintenance. Pendo’s lies in initial setup, tagging, and keeping guides organized. Both platforms require someone on your team to own these tasks, but the work involved is different.

Users report that WalkMe implementation takes three to six months, and once you go beyond basic Walk-Thrus, the Visual Editor isn’t enough on its own. You either need someone on your team who can write JavaScript, or you’ll be paying WalkMe’s professional services to build customizations for you. That cost is rarely clear in the initial contract.

Even people who love WalkMe say this. Rohith N., a Customer Success Engineer at an enterprise company, gave WalkMe 5 stars and still wrote:

“The initial setup and configuration can be complex and come with a learning curve, especially for more advanced use cases. Creating, updating, and maintaining content also takes time and requires careful testing to keep everything accurate as the underlying applications change.”

That’s not to mention major updates to applications like SAP and Salesforce can break selectors or shift element IDs. One implementation partner reviewing WalkMe on G2 describes this as an “unplanned maintenance cycle that clients don’t always budget for.” The same reviewer says the Rules Engine, URL regex patterns, and JavaScript customizations make the Builder harder to use than the sales demo suggests. They also describe the licensing cost as “a hard conversation with mid-market clients.”

With Pendo, the complexity lies in getting it set up and usable. Gonzalo M. G., a UX researcher at an enterprise company, gave Pendo 3.5 stars and wrote:

“There’s a steep learning curve. Setting it up was pretty hard, and it took a long time to get it going.”

Pendo’s in-product tooling for monitoring guide health isn’t strong, so you need a dedicated team member to do that work by hand: comparing guides, finding the underperformers, figuring out what’s wrong, and fixing it.

So the Pendo question for your team is whether you can commit someone to learning the platform deeply during setup, and then owning guide hygiene afterward. If yes, Pendo can deliver. If you’re hoping to spin it up casually and let it run, I’d say you’ll be disappointed.

You shouldn’t have these issues with Userpilot, and I’m not saying this because I work here. Our product is proven to be less complex, and it takes you much less time to see a return on investment (ROI). That’s what we learn from Pendo switchers who are now using Userpilot.

Pendo vs. WalkMe pricing

Neither Pendo nor WalkMe publishes pricing for its paid plans, so you’ll need a sales conversation to determine your cost.

Pendo pricing

SpendHound puts average annual Pendo spend at $71,451 for small and medium-sized businesses (SMBs) and $383,546 for enterprises, based on 119 SMB and 30 enterprise customers. Across 587 purchases tracked by Vendr, the median Pendo buyer pays $48,500 per year. Vendr also reports that implementation and onboarding fees can add $5,000 to $25,000 or more, depending on your requirements.

The official plan structure is:

• Free: Up to 500 monthly active users (MAUs). Product analytics, in-app guides, and Pendo-branded Net Promoter Score (NPS) surveys and roadmaps. Good for early evaluation without a sales conversation.
• Base: Custom MAU limits. Product analytics and in-app guides, with session replay, sentiment surveys, product discovery, and journey orchestration available as paid add-ons.
• Core: Everything in Base, plus session replay included. Sentiment surveys, product discovery, and journey orchestration remain paid add-ons.
• Ultimate: Everything in Core, plus Sentiment, including in-app NPS, product-market fit (PMF), and customer satisfaction (CSAT) surveys; Listen for product discovery; Orchestrate for cross-channel journeys; and Data Sync.

See Pendo pricing for the latest information on plans and pricing discussions.

WalkMe pricing

WalkMe has no free tier. According to Vendr’s procurement data, based on 45 deals, the median WalkMe buyer pays $39,000 per year. The observed range runs from $14,400 at the low end to $197,118 at the high end, reflecting how heavily final cost depends on user count, number of applications, tier, and negotiation timing.

Implementation and onboarding fees are usually quoted separately and can range from $15,000 to $150,000+, depending on complexity. Vendr reports that large enterprises with 2,000+ users and multiple applications often negotiate annual contracts in the $400,000 to $800,000+ range.

Learn more about WalkMe pricing before scheduling a conversation.

Userpilot pricing, for comparison

Userpilot publishes its pricing directly on its website. At 5,000 MAUs, our platform typically costs $5,000 to $12,000 per year.

When to choose Pendo, WalkMe, or Userpilot

Here’s how I’d frame it for three distinct situations:

You’re a large enterprise using SAP, Salesforce, Oracle, or Workday internally, and your primary need is employee adoption and change management. WalkMe is built for exactly this, and SAP’s backing means it will only go deeper in this lane. Budget for a real implementation timeline, professional services fees, and a dedicated internal owner. The platform will deliver, but it will cost you time and money upfront.

You’re a mid-market or enterprise SaaS company with a customer-facing product, strong analytics requirements, and an engineering team that can handle a 6-week setup and governance ownership. Pendo is the stronger option here. The analytics depth is real, the retroactive tracking is useful, and the AI features (Agent Analytics, Leo, MCP Server) are ahead of where WalkMe is investing.

You’re a SaaS product team that wants onboarding and product analytics together, without Pendo’s price or setup. This is where I’d talk to you about Userpilot. Our platform lets you investigate where users struggle with funnels, paths, and session replay, then respond with targeted onboarding flows, checklists, and surveys.

You can also track changes in conversion and retention without switching platforms. Starter is $299/month, and Growth starts at $849/month, giving you published starting prices to budget against rather than waiting for a custom quote.

Your non-technical teammates can build and update those experiences without pulling engineering in. Our product manager, Abrar Abutouq, puts it succinctly: Userpilot lets you “react when users get stuck.” For example, when users dropped off during our email feature’s domain verification step, she added targeted in-app guidance within a few hours to help them complete the setup. Without a no-code tool, that simple task would have taken days or weeks of back-and-forth with engineers.

Our newer AI functionality makes flows like this even easier.

Our AI agent Lia builds flows, checklists, and other in-app experiences from a written brief. And Agent Analytics gives you visibility into how AI agents using your product through APIs and MCP are succeeding or failing at specific interactions, which I think will only matter more from here.

Cost and usability are the primary reasons users switch to Userpilot:

• Cuvama is a good example on the cost side: They moved from Pendo because its difficult configuration and clunky interface meant they weren’t getting enough value to justify the high price. With Userpilot, they found it easier to build targeted onboarding flows and analyze user behavior.
• TouchRight is the example on the speed side: They moved off WalkMe, and their non-technical team started shipping in-app experiences in minutes without bringing engineering in, which saved them hours per release.

Turn onboarding insights into action with Userpilot

Before committing to a platform, test it against a real onboarding challenge. Can your team identify where users drop off, understand what’s causing the friction, launch an improvement, and measure whether it worked? This will tell you more about the platform’s fit than a feature checklist alone.

Userpilot brings product analytics, session replay, feedback, and in-app engagement into one place, so your team can move from identifying problems to addressing them without switching tools.

Book a Userpilot demo to see how your team could launch its next onboarding flow and measure the results in the same platform.

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Disclaimer: Userpilot strives to provide accurate information to help businesses determine the best solution for their particular needs. Due to the dynamic nature of the industry, the features offered by Userpilot and others often change over time. The statements made in this article are accurate to the best of Userpilot’s knowledge as of its publication/most recent update on October 14, 2026.