M

Mixpanel

SaaS analytics platform tracking user behavior

Overview

Mixpanel is a data analytics platform that helps businesses understand how users interact with their products. It operates as a Software-as-a-Service (SaaS) with tools to track user behavior across websites and mobile apps, using features like event tracking, user segmentation, funnel analysis, and retention reports. Customers subscribe to different pricing tiers based on data volume and available features, and Mixpanel generates revenue from analytics access, as well as premium support and consulting services. Its goal is to help companies optimize user experience and grow by enabling data-driven decisions.

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About Mixpanel

Simplify's Rating
Why Mixpanel is rated
C+
Rated B on Competitive Edge
Rated B on Growth Potential
Rated D+ on Differentiation

Industries

Data & AnalyticsEnterprise Software

Company Size

501-1,000

Company Stage

Series C

Total Funding

$277.2M

Headquarters

San Francisco, CA

Founded

2009

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Simplify's take

What believers are saying

  • October 1, 2026 Agent Intelligence launch targets AI adoption budgets across enterprises.
  • MXP 2026 Sydney on November 12, 2026 expands APAC demand generation and community.
  • Mixpanel AI rolled out through June 2026, increasing usage across 29,000 customers.

What critics are saying

  • OpenAI terminated Mixpanel after the November 2025 breach, hurting trust with security-conscious buyers.
  • Amplitude, Pendo, and PostHog bundle analytics, replay, flags, and surveys against Mixpanel.
  • If another analytics breach hits, enterprise contracts evaporate and Mixpanel becomes toxic.

What makes Mixpanel unique

  • Mixpanel's Agent Intelligence ties AI-agent actions to revenue outcomes, not raw logs.
  • DoubleLoop acquisition added metric trees, connecting product metrics to business strategy.
  • 29,000 customers and integrations with Slack, Claude, and ChatGPT deepen workflow lock-in.

Help us improve and share your feedback! Did you find this helpful?

Funding

Total Funding

$277.2M

Above

Industry Average

Funded Over

6 Rounds

Series C funding is usually for startups that are doing well and are looking for more money to fuel major growth, such as acquiring other companies, expanding into global markets, or launching new product lines. Investors typically include larger venture capital firms and private equity.
Series C Funding Comparison
Above Average

Industry standards

$50M
$50M
$62M
$100M
$200M

Benefits

  • Competitive compensation
  • Company stock options
  • Sabbatical policy
  • PTO
  • Volunteer time off
  • Parental leave
  • Mental health resources
  • 401(k) match
  • Health, dental,& vision coverage
  • Flexible work from home options
  • Learning & development stipend
  • Professional growth hours

Growth & Insights and Company News

6 month growth

2%

1 year growth

1%

2 year growth

0%
GlobeNewswire
Oct 31st, 2026
Presentations.AI launches AI Sales Enablement Deck Generator with Salesforce to PowerPoint automation, live Presentation Refresh, Editable PowerPoint export and a presentation API at $0.10 per slide.

Presentations.AI launches AI Sales Enablement Deck Generator with Salesforce to PowerPoint automation, live Presentation Refresh, Editable PowerPoint export and a presentation API at $0.10 per slide. Revenue teams can now generate prospect-specific sales decks from one approved master and connected CRM records, automate presentation updates from Salesforce, HubSpot, Pipedrive, Looker, Tableau, Mixpanel, Google Sheets, Snowflake and BigQuery, govern changes through three approval modes, and create branded PowerPoint files through a REST API priced at $0.10 per slide with a 50% launch discount for three months. San Francisco, Oct. 31, 2026 (GLOBE NEWSWIRE) - Presentations.AI, an AI-native presentation platform backed by Accel and Together Fund, today announced expanded sales enablement capabilities that let revenue teams generate prospect-specific presentations from approved master decks, personalise content using connected CRM information and automatically refresh presentations as business data changes. For more information visit https://www.presentations.ai/solutions/sales The platform combines AI sales deck generation, CRM integrations, patented Presentation Refresh, proprietary Brand Sync and native editable PowerPoint export in a workflow designed for sales representatives, account executives, sales operations teams and revenue enablement leaders. With integrations spanning Salesforce, HubSpot, Pipedrive, Looker, Tableau, Mixpanel, Google Sheets, Snowflake and BigQuery, Presentations.AI connects sales presentations with the business systems used to manage opportunities, customers and commercial performance. The workflow replaces the two steps that consume most of a seller's deck time: copying the standard deck and editing it for the account, and then chasing the latest numbers before the call. It addresses the operational work of preparing the right sales presentation for each customer and keeping it current throughout the sales cycle. AI Sales Deck Generator: One Approved Master, Personalised for Every Prospect Sales teams maintain standard presentations containing company information, product capabilities, customer examples, pricing and competitive positioning. Individual representatives then adapt those presentations for different prospects, industries and deal stages. The process creates repetitive work and makes it difficult for enablement teams to ensure every presentation contains current, approved information. Presentations.AI lets organisations build one approved master sales presentation on the platform, or upload an existing .pptx, and identify the sections that should change for each prospect: the prospect's company name and logo, industry, relevant product capabilities, customer case studies, pricing, integrations and competitive context. Each tagged section is mapped to a CRM field or a data source. The platform uses connected CRM information and configured content rules to generate a prospect-specific version. The result is a branded, editable PowerPoint file that representatives review and refine before a meeting, without opening the master. Salesforce to PowerPoint: Generate Sales Presentations From CRM Records Presentations.AI connects Salesforce opportunity information directly with presentation generation. Enablement teams configure presentation templates around the information maintained in Salesforce, including account details, industry, opportunity stage and relevant commercial fields. When an opportunity reaches a configured stage, a webhook-driven automation initiates generation. The platform retrieves the applicable CRM record, combines it with the approved presentation structure, inserts the prospect's logo through Brand Sync and generates a prospect-specific deck. An enterprise software company can maintain one approved product presentation while generating different versions for financial services, manufacturing and healthcare prospects, each emphasising the relevant capabilities, approved customer examples and commercial information. Representatives receive an editable PowerPoint presentation rather than duplicating and manually revising the master deck. HubSpot and Pipedrive Sales Presentation Automation The same approach extends to sales organisations using HubSpot and Pipedrive. A HubSpot-based team can generate presentations reflecting a prospect's industry, company information and stage in the buying process. A Pipedrive-based organisation can create sales presentations associated with specific deals and configured pipeline stages. CRM-driven generation reduces repeated copying and editing while keeping presentation creation connected to the systems revenue teams already use. Update Sales Decks Automatically With Presentation Refresh Prospect personalisation addresses the initial creation of a sales deck. Maintaining accurate information becomes more important as an opportunity progresses, because pricing, product capabilities, customer usage, commercial assumptions and business metrics change between the first meeting and the final proposal. Presentation Refresh lets organisations connect selected presentation content to supported business data sources and regenerate the presentation when an update is required. Slides carrying pipeline, usage or ROI figures link to live sources: Salesforce, HubSpot or Pipedrive for deal data, Looker or Tableau for dashboards the account team already uses, and Mixpanel, Google Sheets, Snowflake or BigQuery for product and finance metrics. Refresh runs daily, weekly, monthly, on demand or on supported event-based triggers, so a deck built on Monday is accurate on Thursday. A team preparing for a customer meeting refreshes the presentation using the latest connected information rather than checking and rebuilding every relevant slide by hand. Looker to PowerPoint and Automated Business Reporting Sales presentations frequently include business metrics maintained in analytics and reporting systems. Connected reporting workflows across Looker, Tableau, Mixpanel, Google Sheets, Snowflake and BigQuery supply product adoption, customer activity, revenue performance, usage trends and other operational measures. An account management team can prepare a quarterly business review using current customer usage and commercial metrics. A sales engineering team can incorporate product or operational data into a prospect presentation. A revenue operations team can generate management presentations from current pipeline and performance information. Presentation Refresh maintains those recurring slides as the underlying data changes. Automated Approval, Version Control and Sales Content Governance Sales enablement leaders need to control which information appears in customer-facing presentations. Presentations.AI supports workflows in which an approved master provides the foundation for prospect-specific decks, with review and approval requirements configured around updates. Three approval modes are available: Automated refresh with final sign-off: updated presentations are generated and routed for approval before distribution. Slide-level approval: selected content is refreshed automatically while designated sections require reviewer approval. Full review: all changes are held for review before an updated presentation is released. Version tracking and audit logs show which version of the master each prospect deck was built from and record subsequent updates, which matters when pricing, product claims or commercial terms change mid-quarter. Brand Sync Keeps Sales Presentations Consistent Brand Sync identifies company branding from a website URL, detecting logos, colours and fonts, and applies that identity across every generated presentation. Enablement teams establish a consistent presentation identity while allowing appropriate account-level personalisation. Role-based access control lets enablement set which sections representatives can edit and which are fixed. For agencies and sales teams working with multiple customer brands, Brand Sync simplifies the preparation of branded presentations for different organisations. Brand Sync, SSO/SAML and role-based access control are available on paid Presentations.AI plans. Native Editable PowerPoint for Sales Teams Sales presentations move between representatives, managers, sales engineers, customers and procurement teams, and recipients often need to revise content, update commercial information or incorporate slides into other presentations. Presentations.AI provides native editable Microsoft PowerPoint export on every paid plan, alongside Google Slides workflows and PDF, PNG, JPEG, HTML and JSON export. Editable PowerPoint output lets representatives continue refining presentations in the software their organisation already uses, combining automated generation with the flexibility to make final adjustments before customer meetings. Sales Enablement Use Cases Prospect-specific sales decks: generate account presentations using relevant CRM information, industry context and approved sales content. Product demonstrations: prepare materials that emphasise the capabilities and integrations relevant to a particular prospect. Sales proposals: combine approved commercial content with account-specific information. Quarterly business reviews: update customer presentations using connected business and usage metrics. Account-based marketing: generate presentations tailored to named accounts or target industries. Channel and partner enablement: maintain reusable presentation structures for partners while controlling approved product and brand content. Revenue operations reporting: create recurring management presentations using pipeline and commercial performance information. A REST API lets developers incorporate AI presentation generation into external applications and automated workflows, with OAuth 2.0 authentication, role-based access control, audit logs and webhook-triggered operations. Sales enablement platforms, CRM applications, revenue intelligence products and AI agents can initiate presentation generation from their own interfaces. A CRM application can offer a "Generate Sales Deck" action associated with an opportunity. An enablement platform can generate a prospect-specific presentation from approved content and structured account information. A customer success platform can produce recurring account-review presentations from connected business data. The API also supports bulk presentation generation and export across supported output formats. Presentations.AI API Pricing and 50% Launch Discount Presentations.AI offers credit-based API pricing for developers, software companies, sales enablement platforms and AI agents. The standard reference price is $0.01 per credit, with a typical slide requiring 10 credits, equivalent to $0.10 per generated slide before discounts. That works out to $10 per 100 slides and $100 per 1,000 slides at the standard rate. To mark the API launch, Presentations.AI is offering a 50% discount for three months, reducing the effective reference cost to $0.005 per credit, or $0.05 per slide: $5 per 100 slides and $50 per 1,000 slides. Monthly API packages start at $49, with volume discounts of 20% to 50% depending on the selected package. Package-specific pricing and discount eligibility are governed by the applicable commercial terms. API pricing is separate from individual and Team subscriptions. API credits do not carry over between billing periods, and API pricing does not use country-based purchasing-power adjustments. To learn more, visit https://www.presentations.ai/solutions/sales. White-Label Presentation Generation for Agencies and Software Platforms White-label presentation output is available for agencies and software companies incorporating presentation generation into their own products, through the Growth tier and higher commercial arrangements. Organisations can generate customer-facing presentations under their own brand while using Presentations.AI's generation and automation capabilities. Subscription Pricing for Sales Teams Presentations.AI offers individual and team subscriptions. A free Starter plan includes 100 credits. Pro is $240 a year with 5,000 annual credits, equivalent to $20 a month. Gold is $1,200 a year with 50,000 annual credits, equivalent to $100 a month. The Team plan is $720 a year with unlimited seats and 30,000 shared annual credits. All plans are billed annually and subscription pricing varies by country. Standard presentation generation consumes 10 credits per slide. Presentation Refresh consumes 10 credits per slide on each refresh, including slides that remain unchanged. Enterprise pricing, API access and white-label tiers are available on request. Presentations.AI does not use customer content to train its models and is GDPR compliant. The sales enablement workflow is available today. Making Sales Presentations More Useful Throughout the Revenue Cycle "Every seller adapts the company deck for the customer in front of them. The challenge is keeping those changes relevant, accurate and consistent with what the company has approved," said Sumanth Raghavendra, CEO and co-founder of Presentations.AI. "By connecting presentation generation with CRM information and business data, we are reducing the repetitive work involved in preparing sales decks. Representatives can spend more time on the customer's needs and the commercial conversation." Presentations.AI's product direction focuses on helping business users complete presentation tasks, from initial generation through editing, branding, export and recurring updates. For revenue teams, this means making sales presentations easier to personalise, maintain and deliver. Frequently Asked Questions What is an AI sales enablement deck generator? An AI sales enablement deck generator creates sales presentations using approved content, customer information and business context. Presentations.AI generates prospect-specific presentations from master decks and connected CRM data. Can Salesforce automatically generate PowerPoint presentations? Yes. Presentations.AI supports Salesforce-connected presentation generation. Teams use CRM information and configured workflows to create prospect-specific PowerPoint decks when an opportunity reaches a defined stage. Can I automatically update a sales deck for each prospect? Yes. Presentations.AI supports prospect-specific generation and Presentation Refresh for updating connected content as business information changes. Can Looker dashboards be converted into PowerPoint presentations? Presentations.AI supports Looker-connected workflows that incorporate reporting information into business presentations. Supported dashboard and chart behaviours depend on the configured integration. Does Presentations.AI integrate with HubSpot and Pipedrive? Yes. Presentations.AI supports CRM-connected presentation workflows involving HubSpot and Pipedrive. How much does the Presentations.AI Team plan cost? The Team plan is $720 a year with unlimited seats and 30,000 shared annual credits. Can sales enablement platforms generate presentations through an API? Yes. Presentations.AI provides a REST API with OAuth 2.0, role-based access control, audit logs and webhook triggers for incorporating presentation generation into external applications and automated workflows. How much does the Presentations.AI API cost? Reference API pricing is $0.01 per credit, with standard generation consuming 10 credits per slide, equivalent to $0.10 per slide before discounts. A 50% launch discount applies for three months. Monthly API packages start at $49 and provide discounts of 20% to 50%. Does the API have the same pricing in every country? Yes. API reference pricing does not use purchasing-power adjustments. Subscription pricing may vary by country. Can presentations be refreshed automatically? Yes. Presentation Refresh supports recurring updates from connected business information. Each refresh consumes 10 credits per slide, including unchanged slides. Can sales decks be exported as editable PowerPoint files? Yes. Native editable PowerPoint export is available on every paid Presentations.AI plan. Does Presentations.AI support approval workflows for sales content? Yes. Three approval modes are available: automated refresh with final sign-off, slide-level approval and full review, with version tracking and audit logs. About Presentations.AI Presentations.AI is an AI-native presentation platform used by more than 12 million users worldwide to create professional business presentations from prompts, documents, data and websites. Founded by Sumanth Raghavendra, Dhruv Saxena, Biju Abraham, Ravi Kasthuri, Saravanan Govindaraj and Ezhilkumar, the company is backed by Accel and Together Fund and headquartered in Singapore. The company develops AI-powered presentation generation, automatic branding, native editable PowerPoint export, business data integrations and recurring presentation automation. The platform serves sales, marketing, consulting, finance and executive teams across organisations ranging from startups to enterprises. Capabilities, pricing and user figures in this release are as reported by the company as of the release date.

IT Brief
Oct 6th, 2026
Mixpanel launches Agent Intelligence to track AI agents.

Mixpanel launches Agent Intelligence to track AI agents. Tue, 6th Oct 2026 (Today) Mixpanel has launched Agent Intelligence, a product designed to help teams measure the performance of AI agents. The tool links agent activity to customer behaviour and business outcomes. The release comes as product teams rapidly add AI agents to software products and face pressure to show whether those systems improve customer journeys or business metrics. Teams have often had to choose between limited visibility into agent performance and stitching together results from separate observability and analytics tools. Agent Intelligence is designed to bring those views together in one place. Mixpanel says the product lets teams examine conversations, review cost, latency and error metrics, and connect those interactions to broader user activity within the same product journey. Agent conversations can be tracked against the same user identity as other events recorded in Mixpanel. Those interactions can then appear in funnels, replays, cohorts and retention reports, helping teams assess whether an agent interaction helped a user complete a task or created friction. Mixpanel says the product also records agent activity and reconstructs it into full conversations. Users can inspect exchanges turn by turn, including tool calls and results, rather than trying to rebuild the sequence from logs. "There's no shortage of tools that will show you what your AI agent did. There are far fewer that can tell you what that means for your customers and your business," said Anant Gupta, Chief Technology Officer, Mixpanel. "Every product leader I talk to is asking the same ROI questions about what they're building: Is the agent moving people through the funnel or getting in their way? Are power users getting something out of it that new users aren't? Did switching models actually improve the experience? Those are the types of questions we built Agent Intelligence to answer, and we've been using it to evaluate Mixpanel Agent inside our own product," Gupta said. Broader update The launch comes alongside a wider set of additions across Mixpanel's platform. It has expanded Mixpanel Agent so it can take on more analytical work, added no-code experimentation tools, and updated its Context Engine to deliver answers based on a team's existing work. Mixpanel has also introduced AI-powered data governance tools intended to help users keep underlying data reliable. Together, the updates reflect a broader push by analytics suppliers to tie AI features more directly to product decision-making and measurement. In Mixpanel's description, experimentation and feature flagging are central to the new workflow. Teams can compare prompts, tool configurations or models and measure which versions produce better customer and business results. The system also includes exploratory analysis through Mixpanel Agent, root-cause analysis for changes in performance or costs, and proactive KPI monitoring to identify issues early. The aim is to help teams move from diagnosis to testing and iteration without switching between multiple systems. Customer view Mixpanel included comments from Sprout Social, which has built several AI agents, including Listening and Insights. The software company said one of the main challenges has been understanding whether an agent response actually helped a customer achieve an outcome. "We've built several agents at Sprout, including Listening and Insights. But knowing an agent responded doesn't tell us whether the customer achieved their goal, and that's what matters most to us," said Blake Kurinsky, Senior Director of Product Management, Sprout Social. "Before Agent Intelligence, we tracked each agent interaction as a separate custom event. Now we can see the full conversation in one view, including what the customer did and whether it solved their request," Kurinsky said. Agent Intelligence is available in early access. Mixpanel says it is used by more than 29,000 companies and positions the new product as part of a broader effort to help product teams judge whether AI features are changing customer behaviour in measurable ways.

iTWire
Oct 2nd, 2026
Mixpanel introduces Agent Intelligence, helping product teams build and measure more effective AI agents.

Mixpanel introduces Agent Intelligence, helping product teams build and measure more effective AI agents. New product connects agent conversations to customer behaviour and business outcomes, alongside broader additions that help teams experiment faster, hand off more legwork to AI and ensure more trusted and valuable answers. Mixpanel, the global leader in product intelligence, today introduced a new product, Agent Intelligence, alongside additional new features. Agent Intelligence shows teams the effectiveness of the AI agents they build, the customer impact and what to do next. Teams are shipping AI features in their products so fast that they don't always know whether they actually work. When shipping an agent, teams have historically faced a choice: fly blind without knowing how the agent affects customers or the business, or waste time using different observability and analytics tools to try to piece together the full picture. "There's no shortage of tools that will show you what your AI agent did. There are far fewer that can tell you what that means for your customers and your business," said Anant Gupta, Chief Technology Officer at Mixpanel. "Every product leader I talk to is asking the same ROI questions about what they're building: Is the agent moving people through the funnel or getting in their way? Are power users getting something out of it that new users aren't? Did switching models actually improve the experience? Those are the types of questions we built Agent Intelligence to answer, and we've been using it to evaluate Mixpanel Agent inside our own product." Know what an agent did, whether it mattered and what to do next. Agent Intelligence connects agent performance to customer behaviour so teams can see what changed for the customer, whether it drove a business outcome and what to build or improve next. Tell a good agent conversation from a bad one. Cost, latency and error metrics arrive pre-loaded with no dashboard to build first. If a conversation doesn't go well, the full story is right there. Agent activity is recorded as scattered fragments, and Mixpanel stitches them back into the conversations they belong to. Teams can open the actual exchange, turn by turn, with every tool call and its result underneath. Going deeper to inspect a conversation no longer means reconstructing it from logs. Measure agent outcomes, not just activity. Customers don't experience an agent as a separate product: It's one step in a larger journey. In Mixpanel, agent conversations become events tied to the same user identity as everything else a team tracks. Those events then show up in funnels, replays, cohorts and retention reports, so teams see the complete user journey. As a result, teams can finally answer the questions that product leaders are asking about the impact agent interactions are having on customers. Make agents better with familiar tools. With Mixpanel, teams go beyond understanding and turn insights into action. They can test changes to their agents against real customer and business outcomes. Experimentation and feature flagging let builders compare new prompts, tool configurations, or models, and see which ones actually move the metrics that matter. Knowing what to test is part of the loop too. Mixpanel Agent handles exploratory analysis, AI-powered root-cause analysis digs into everything from performance changes to rising costs and proactive KPI monitoring catches issues early. From there, Mixpanel helps surface opportunities and design the next experiment, so teams can keep learning, testing, and building better agents. "We've built several agents at Sprout, including Listening and Insights. But knowing an agent responded doesn't tell us whether the customer achieved their goal, and that's what matters most to us," said Blake Kurinsky, Senior Director of Product Management at Sprout Social. "Before Agent Intelligence, we tracked each agent interaction as a separate custom event. Now we can see the full conversation in one view, including what the customer did and whether it solved their request." Agent Intelligence is available today in early access. For more details, visit mixpanel.com/ai/agent-intelligence. Additional new features debut alongside Agent Intelligence. With this release, Mixpanel is also making it easier for teams to move from insight to action across the platform with the following updates: a more powerful Mixpanel Agent can take on more of the analytical legwork, no-code experimentation helps teams test and ship faster without relying on engineering, a more connected Context Engine delivers richer answers grounded in your team's work and AI-powered data governance keeps the data behind those answers clean and trustworthy. About mixpanel. Mixpanel is the leading product intelligence platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what's working, diagnose what's not, and decide what to build next. Learn more at mixpanel.com.

PR Newswire
Oct 1st, 2026
Mixpanel introduces Agent Intelligence, helping product teams build and measure more effective AI agents.

Mixpanel introduces Agent Intelligence, helping product teams build and measure more effective AI agents. Oct 01, 2026, 09:00 ET New product connects agent conversations to customer behavior and business outcomes, alongside broader additions that help teams experiment faster, hand off more legwork to AI and ensure more trusted and valuable answers NEW YORK, Oct. 1, 2026 /PRNewswire/ - Mixpanel, the global leader in product intelligence, today introduced a new product, Agent Intelligence, alongside additional new features. Agent Intelligence shows teams the effectiveness of the AI agents they build, the customer impact and what to do next. Teams are shipping AI features in their products so fast that they don't always know whether they actually work. When shipping an agent, teams have historically faced a choice: fly blind without knowing how the agent affects customers or the business, or waste time using different observability and analytics tools to try to piece together the full picture. "There's no shortage of tools that will show you what your AI agent did. There are far fewer that can tell you what that means for your customers and your business," said Anant Gupta, Chief Technology Officer at Mixpanel. "Every product leader I talk to is asking the same ROI questions about what they're building: Is the agent moving people through the funnel or getting in their way? Are power users getting something out of it that new users aren't? Did switching models actually improve the experience? Those are the types of questions we built Agent Intelligence to answer, and we've been using it to evaluate Mixpanel Agent inside our own product." Know What an Agent Did, Whether It Mattered and What to Do Next Agent Intelligence connects agent performance to customer behavior so teams can see what changed for the customer, whether it drove a business outcome and what to build or improve next. Tell a Good Agent Conversation from a Bad One Cost, latency and error metrics arrive pre-loaded with no dashboard to build first. If a conversation doesn't go well, the full story is right there. Agent activity is recorded as scattered fragments, and Mixpanel stitches them back into the conversations they belong to. Teams can open the actual exchange, turn by turn, with every tool call and its result underneath. Going deeper to inspect a conversation no longer means reconstructing it from logs. Measure Agent Outcomes, Not Just Activity Customers don't experience an agent as a separate product: It's one step in a larger journey. In Mixpanel, agent conversations become events tied to the same user identity as everything else a team tracks. Those events then show up in funnels, replays, cohorts and retention reports, so teams see the complete user journey. As a result, teams can finally answer the questions that product leaders are asking about the impact agent interactions are having on customers. Make Agents Better with Familiar Tools With Mixpanel, teams go beyond understanding and turn insights into action. They can test changes to their agents against real customer and business outcomes. Experimentation and feature flagging let builders compare new prompts, tool configurations, or models, and see which ones actually move the metrics that matter. Knowing what to test is part of the loop too. Mixpanel Agent handles exploratory analysis, AI-powered root-cause analysis digs into everything from performance changes to rising costs and proactive KPI monitoring catches issues early. From there, Mixpanel helps surface opportunities and design the next experiment, so teams can keep learning, testing, and building better agents. "We've built several agents at Sprout, including Listening and Insights. But knowing an agent responded doesn't tell us whether the customer achieved their goal, and that's what matters most to us," said Blake Kurinsky, Senior Director of Product Management at Sprout Social. "Before Agent Intelligence, we tracked each agent interaction as a separate custom event. Now we can see the full conversation in one view, including what the customer did and whether it solved their request." Agent Intelligence is available today in early access. For more details, visit mixpanel.com/ai/agent-intelligence. Additional new features debut alongside Agent Intelligence With this release, Mixpanel is also making it easier for teams to move from insight to action across the platform with the following updates: a more powerful Mixpanel Agent can take on more of the analytical legwork, no-code experimentation helps teams test and ship faster without relying on engineering, a more connected Context Engine delivers richer answers grounded in your team's work and AI-powered data governance keeps the data behind those answers clean and trustworthy. About Mixpanel Mixpanel is the leading product intelligence platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what's working, diagnose what's not, and decide what to build next. Learn more at mixpanel.com. SOURCE Mixpanel

AI Magazine
Oct 1st, 2026
How Mixpanel's Agent Intelligence helps AI agent efficiency.

How Mixpanel's Agent Intelligence helps AI agent efficiency. October 01, 2026 Agent Intelligence has been built to answer the questions leaders ask about ROI on agents they build, says Mixpanel's Chief Technology Officer Anant Gupta In the race to properly adopt AI, enterprises risk shipping out at such a pace that they might not know if the technology actually works as expected, yet a web of different observability and analytics tools can be time-consuming and costly. That is why product intelligence company Mixpanel has introduced Agent Intelligence, an insights platform to show teams the effectiveness of the AI agents they build in one service. Anant Gupta, Chief Technology Officer of Mixpanel, tells AI Magazine: "AI Magazine designed Agent Intelligence to answer the question: How is AI in the product experience impacting your users? "Mixpanel can connect agent conversations to real customer behaviour and the business outcomes that follow. We also give you the tools to run experiments and optimisations, so you can continuously improve how users experience your agents." Mixpanel: Unifying agentic analytics tools. "There's no shortage of tools that will show you what your AI agent did. There are far fewer that can tell you what that means for your customers and your business," Anant says. "Every product leader I talk to is asking the same ROI questions about what they're building: Is the agent moving people through the funnel or getting in their way? Are power users getting something out of it that new users aren't? Did switching models actually improve the experience? "Those are the types of questions we built Agent Intelligence to answer, and we've been using it to evaluate Mixpanel Agent inside our own product." Is the agent moving people through the funnel or getting in their way? Anant Gupta, Chief Technology Officer of Mixpanel Agent Intelligence not only shows agent performance but connects it to the customer's behaviour, allowing IT teams to see what changes for the customer, whether it drives the desired business outcomes or not and how it can improve. If the conversation between an agent and customer doesn't go well, the full story is returned back to IT teams. Mixpanel combines agent analytics so the exchanges can be analysed turn by turn alongside every tool call and its result. However, Agent Intelligence goes beyond the customer and agent conversation. Recognising this, Mixpanel ties events leading up to the conversation to the same user identity to ensure the complete customer journey is seen, not just the conversation. Mixpanel also offers the ability to strengthen AI agents with familiar tools through Agent Intelligence. It handles exploratory analysis, AI-powered root-cause analysis digs into everything from performance changes to rising costs and proactive KPI monitoring catches issues early. From there, Mixpanel helps surface opportunities and design the next experiment, so teams can keep learning, testing, and building better agents. Agent Intelligence, in summary * The platform connects agent performance to customer behaviour to determine true business outcomes. * Teams can review turn-by-turn tool calls and results to distinguish good exchanges from bad ones. * Agent conversations are tied to user identities and tracked in funnels, cohorts and retention reports. * Builders can compare prompts, tool configurations and models against real customer outcomes. * A connected Context Engine delivers richer answers while keeping underlying data clean and trustworthy. Other features released alongside Agent Intelligence. With the announcement of Agent Intelligence, Mixpanel has promised its customers more updates and releases alongside it to make it easier for enterprises to move from insight to action across the Agent Intelligence platform. One of the releases is a more powerful Mixpanel Agent, which can take on more of the analytical legwork. No-code experimentation features can help teams test and ship faster without relying on engineering, and a more connected Context Engine delivers richer answers with AI-powered data governance to keep the data behind its answers clean and trustworthy. Key partners for Mixpanel. Google Cloud: Mixpanel partners with Google Cloud to integrate its product analytics platform with Google's scalable data warehouse, BigQuery. This collaboration empowers mutual customers to export vast datasets easily, enabling deeper exploratory analysis and more accurate AI-powered insights. Sprout Social: A leading social media management software provider, Sprout Social uses Mixpanel's Agent Intelligence to optimise its internal AI tools, including Listening and Insights. Sprout Social enhances its ability to measure true business outcomes, improve user experiences and ensure its AI agents effectively resolve customer requests in real time with Mixpanel. Company Portals

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