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Ryan Mitchell
Marketing Analytics Strategist
Ryan Mitchell is a marketing analytics strategist specializing in campaign measurement, customer journeys, and marketing performance. He writes about analytics, reporting, and data-driven marketing strategies, helping SaaS and B2B teams measure what matters across every stage of the customer journey.
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Product usage analytics: Definition, metrics & framework
Most teams don’t struggle to build features. They struggle to know which ones matter. That’s what product usage analytics is for. It turns real behavior into a clear signal: what users do on day one, what they repeat on day ten, and what never gets touched at all. Once you have that, your product metrics […]
19 common UTM mistakes (and how to fix them)
Every click on your campaign links tells a story. UTM mistakes decide whether that story shows up clearly in your data or blends into traffic that is hard to interpret. UTM tracking itself is pretty straightforward, but consistency is what makes it powerful. When your tags are structured properly, your website analytics can accurately reflect […]
A complete guide to tracking website visitors
Driving traffic is only half the battle. If you’re just looking at total hits, the actual customer journey remains a mystery, leaving you with numbers that don’t explain why people leave or what keeps them. Tracking website visitors is about seeing the behavior behind the numbers. It moves you past basic stats so you can […]
20+ best customer segmentation software for 2026
Your best customer and your worst churn risk look identical without the right data. Treating them the same way is costing you revenue. Customer segmentation software changes that. Through audience segmentation, you can group customers by behavior, demographics, and engagement patterns so every interaction feels relevant and timely. This guide is a practical walk‑through of […]
Heap pricing concerns: Pros, cons & better alternative
Most teams look at pricing first because it sets the rules for everything that comes after: tracking scope, reporting cadence, and who can actually use the data. Heap is a common pick for product analytics, so the key is understanding how its pricing plans are organized and how the model scales with real usage. In […]
Build vs. buy analytics: What you’re actually choosing
Build vs. buy analytics usually starts as a quick thought in a sprint planning doc. Then it becomes a real decision: your product is shipping, your data is growing, and people want answers across the customer journey. One direction gives you a system shaped exactly around your product. The other gives you a ready-made setup […]
Heap vs. Mixpanel vs. Usermaven: A practical comparison
Data isn’t helpful if it’s too overwhelming or too complex. You need insights that are easy to act on and scalable to your needs. The challenge? Finding the tool that makes it easy to get there. The debate between Heap vs. Mixpanel vs. Usermaven is common, as each tool tackles data collection and analysis differently. […]
Mixpanel vs. FullStory vs. Usermaven [2026 comparison]
Selecting the right analytics tool is important for optimizing your product analytics strategy. Each platform offers unique features that help track user behavior, measure key metrics, and improve overall performance. But which one aligns best with your needs? This guide will compare Mixpanel vs. FullStory vs. Usermaven, highlighting the key features, pricing, and benefits of […]
Mixpanel pricing explained (+ discover a better alternative)
Mixpanel is a popular choice for product analytics, and it’s easy to see why teams consider it early. Mixpanel pricing is based on event volume, so what you pay depends on how much you track and how your product usage grows over time. On the pricing page, the tiers can look straightforward at first glance. […]