The most helpful feature was the new Mixpanel AI agent, which allows me to quickly gain valuable insights simply by using prompts. The user experience is very intuitive, and the ability to connect with other analytics platforms makes it even more powerful. The performance is impressively fast. The pricing is also reasonable, offering great value and plenty of benefits. Additionally, the onboarding process was seamless, and the UI is visually appealing.

What I like best about Mixpanel is how it lets us dig into our lead and policyholder behavior without leaning on our outside dev contractor every single time. I’m Hans Isip, Operations & Business Systems Coordinator at Mountain Peak Insurance Advisors out in Denver. We’re an independent insurance agency with 11–50 people, and I spend most days testing tools, building workflows, locking down permissions, troubleshooting integrations, and walking our agents, service staff, and accounting team through new systems. We use Mixpanel mainly to track how people move through our website, our self-service quote flow, and the supplemental insurance storefront we run for add-on policies. Before Mixpanel, all we really had was basic Google Analytics data. It could tell us how many people landed on our quote page, but it couldn’t tell us where they dropped off inside that multi-step quoting process, or whether someone who started a quote later picked up a policy renewal email from our marketing sequence. The cohort analysis is the standout feature for our agency work. A couple months ago, our sales team noticed a lot of people starting auto insurance quotes but never finishing them. We had no clue which step was scaring them off. I built a cohort in Mixpanel grouped by quote start date, then tracked them through each form stage: entering vehicle info, adding driver details, reviewing coverage options, submitting for agent follow-up. It quickly showed the majority were bailing on the coverage selection screen. It turned out the page was showing way too many optional endorsements all at once, which overwhelmed shoppers new to insurance terminology. We simplified that view, trimmed down the add-on options shown by default, and added a short plain-language tooltip for the critical coverages. Within a month, our quote completion rate ticked up nicely, and our agents got fewer calls from confused prospects asking to walk them through every single optional add-on. That change came straight from what I found in Mixpanel. I also like how flexible the event setup is. I can tag custom events for things like downloading our coverage guide, booking an agent consultation, opening a renewal reminder link, or visiting our supplemental product shop. Since we’re heavy on compliance, it helps us separate casual browsers from serious shoppers who are actively engaging with policy-related tools. The dashboards are easy enough for me to build and share. I create a simple weekly view for our sales and marketing lead so they can see which ad sources bring people all the way through to quote submission, not just those who click the ad once and leave immediately. We rely on role permissions too. I can share read-only dashboards with our marketing lead without letting them edit or delete our tracked events. That keeps our tracking setup consistent and avoids accidental changes that would mess up our trend data, which matters because we use these insights to plan renewal outreach for hundreds of policyholders.

I use Mixpanel for product metrics, funnel tracking, A/B tests, and product analytics, and it makes it quite easy to see how recently released features are performing. I like that its event-based data model fits product analytics so well. I can build a funnel from raw events in just a few minutes and break down charts by user properties, cohorts, or other properties without writing SQL. Funnel creation and tracking are simple to set up, especially compared with doing each tracking task in SQL, and Mixpanel has made my life easier. I can answer questions in about 20 minutes that might take a data analyst a day with SQL or GTM tracking, and product managers can access behavioral metrics directly without a ticketing queue. I also find the retention analysis one of the best, with multiple customizable views and on-the-fly filters. The flows report is useful for understanding what users do between defined steps and where they run into friction. Funnel analysis, feature adoption tracking, and cohort-level retention are all easier for me to do in Mixpanel.