Claude Dashboards Now in Beta on Mixpanel

This is the way. Start in Claude, then pivot to Mixpanel to get deep in the data. Once you have focus, Mixpanel is the best way to quickly find answers in your product data.

Most analysis starts with one question. Then, you have more questions that help your strategy. Excited to share that Claude Dashboards launched yesterday in beta. You ask a question in plain language and Claude builds a Mixpanel dashboard that stays current. Now, that dashboard doesn’t have to stay in Claude. When the first answer raises a new question, you can open it in Mixpanel and keep going -- pickup right where you left off. That means you can: → Segment the data → Watch the session replays behind a drop-off → Run an experiment to test the fix → Ask Mixpanel Agent what changed More and more teams are working this way. They start in their LLM, then dig deeper and work together in Mixpanel. Big congrats to the team who made this happen. If you build something with it, I’d love to see it! 👇 Demo and details in the post below

Mixpanel just put Experiments and Feature Flags on its Free and Growth plans. Free: unlimited experiments, 1k monthly experiment users, up to 10 active flags. Growth: 5k monthly experiment users, up to 50 active flags. For a lot of SaaS and product teams, cost is no longer the reason not to test. The new bottleneck is the event data underneath. An experiment readout is only as trustworthy as the events feeding it. Before running your first test, I'd check: 1. Your success metric is a clean, deduplicated event. If "Signup Completed" fires from both the client and the server, conversion looks inflated in every variant and real differences get muddied. 2. Identity is stitched correctly. If identify isn't called at signup and login, one person can show up as two users. 3. Events carry the properties you'll want to segment by (plan, platform, acquisition source) from day one. Adding them later doesn't fix past data. 4. You know how much traffic ad blockers remove. Mixpanel also released First-Party Domains in August, which routes tracking through a subdomain you control (currently on Enterprise). On other plans, a proxy setup is the usual route. 5. Your Lexicon is documented, so whoever reads the results knows exactly what each event means. Cheap experiments on messy data just produce confident wrong answers faster. Planning to switch on Mixpanel Experiments and want your tracking plan checked first? Comment "Mixpanel" or send me a DM, and I'll review your event setup with you. #Mixpanel #ProductAnalytics #Experimentation #SaaS #Analytics

One post can hand you a customer list by lunch. Drop something new in the morning and the comments fill up with people asking where to get it. Flows saves each of them as a contact, sends them the link, and keeps what happened next beside their name. You can see who made it as far as the product. Answer those people yourself before the day ends. After a few posts, one product has been asked for more than the rest. That one goes on your next order. One post tells you who to answer. A few tell you what to sell more of. Try it at Adpanel.io to set yours up. Follow @adpanel.io for more. #customerlist #instagramdms #ecommercegrowth

From the decline of search referrals to the rising power of dark social and direct traffic, what does the reader lifecycle actually look like in 2026? Our new report uses two years of Chartbeat data to map out 9 practical strategies for media companies looking to strengthen acquisition, engagement, and long-term loyalty. Download the full playbook: https://hubs.ly/Q04yXZbm0

𝐁𝐫𝐨𝐰𝐬𝐞𝐫-𝐬𝐢𝐝𝐞 + 𝐬𝐞𝐫𝐯𝐞𝐫-𝐬𝐢𝐝𝐞 𝐌𝐢𝐱𝐩𝐚𝐧𝐞𝐥 𝐭𝐫𝐚𝐜𝐤𝐢𝐧𝐠: 𝐆𝐞𝐭 𝐚 𝐜𝐥𝐞𝐚𝐫𝐞𝐫 𝐯𝐢𝐞𝐰 𝐨𝐟 𝐭𝐡𝐞 𝐜𝐮𝐬𝐭𝐨𝐦𝐞𝐫 𝐣𝐨𝐮𝐫𝐧𝐞𝐲. 📈 Your website captures valuable interactions, while your backend knows about important business events such as successful payments, subscriptions, and account updates. Combining browser-side and server-side tracking can help bring these interactions together in Mixpanel. Here's what a well-planned implementation can include: ✅ Browser-side event tracking through Google Tag Manager. ✅ Server-side event delivery to Mixpanel for relevant backend actions. ✅ Consistent event names and properties across both sources. ✅ Event deduplication where the same action is captured by both systems. ✅ Validation and testing to help ensure events are recorded correctly. The goal isn't simply to collect more data. It's to build a reliable analytics foundation that helps your team understand user behaviour, measure product engagement, and identify opportunities for improvement. I help businesses implement, audit, and troubleshoot Mixpanel tracking across browser-side and server-side setups. Looking to improve your Mixpanel implementation? Feel free to reach out. #Mixpanel #ServerSideTracking #GoogleTagManager #GTMTracking #ProductAnalytics #WebAnalytics #DataAnalytics #EventDeduplication #CustomerJourney #LondonBusiness #SydneyBusiness #TorontoBusiness #NewYorkBusiness #SaaSAnalytics

WHOA, around 170 improvements shipped at Tracklution in September. All time high. WHAT A MONTH 😅 🥹 😮💨 Needless to say I’m very proud of our team 🧡 a lot of work goes into it, from building new connectors to fixing the small things that make everyday work easier. A few highlights: 🎯 Ability to define which users in your account can and can't access PII data. So, for example, mask all PII data from your agency partner, but keep it visible to selected in-house team members. Or, hide it from everyone. However you want and need it to be! 🎯 7 new connectors, including X Ads, Outbrain and Taboola Realize, plus Amplitude and Mixpanel in beta, and the shiny new Microsoft Ads Conversions API now available to everyone 🎯 Improvements specifically for agencies, like one reporting API key across client accounts and clearer invoicing. And there's so much more. A 👏 BIG 👏 THANK 👏 YOU 👏 to our team for all the work behind this, and to our customers and partners who keep sharing feedback with us. It takes a village!! Read or watch the video, however you prefer 👉 https://lnkd.in/gcJwwr93

Last-click attribution is a fiction we all agreed to believe. It says the final ad before the purchase gets 100% of the credit. The podcast ad the customer heard for six weeks gets nothing. The billboard they passed every morning gets nothing. The email that brought them back three times gets nothing. So you cut the channels that actually created the demand, double down on the one that harvested it, and wonder why growth stalls. Marketing-mix modeling answers the question last-click cannot: what happens to revenue if we move $10k from here to there? It looks at everything at once, spend, seasonality, promotions, even the stuff you cannot click, and estimates what each channel truly contributed. No tracking pixels. No cookies. Just math on your own data. This is one of the things we do at Niche Solutions. If your budget decisions rest on last-click reports, a free 30-minute audit will show you what those reports are hiding. No pitch. One concrete insight, yours to keep. Book a free call at nichesolutions.info #MarketingAnalytics #Attribution #DataDriven

Can we talk about how much marketers still get wrong about "a view"? I get asked this more than almost anything else on calls with clients, and the honest answer is: it depends which platform you're looking at. On YouTube alone there are three different definitions in play. A view. An engaged view. A qualified view. Same platform, three different bars to clear, and most reporting dashboards don't tell you which one you're looking at. Views were never meant to be a precision metric, they're a top of funnel signal. But if you're benchmarking campaigns against each other, or worse, against a competitor's platform, you need to know you're comparing the same thing. My rule of thumb: treat view count as a directional signal, not a KPI you report to your board without context. Does your team still lead reporting with raw view counts, or have you moved past it? #STSGlobalMedia

Two marketers, one dashboard. One sees momentum, one sees a plateau, and the meeting goes to whoever tells the better story. Nobody's lying. Aggregate numbers are accurate and they still leave room, since a conversion rate can back almost any narrative you walk in with. Real stars, made-up lines. A named reader with twenty minutes of engagement history backs exactly one. That's the level we deliver at. It settles arguments.