When I launched my SaaS product two years ago, I did what most founders do: I dropped a Google Analytics snippet into the header and moved on. Within a month, I was drowning in dashboards, struggling with cookie consent banners, and spending more time interpreting bounce rates than actually improving my product. That is when I switched to Plausible Analytics, and I have not looked back since.
Why Plausible Over Google Analytics for SaaS
The decision came down to three things: simplicity, privacy, and speed. Google Analytics 4 introduced an event-based model that, frankly, felt over-engineered for a bootstrapped SaaS with a few thousand monthly visitors. I did not need user-level tracking or complex funnels. I needed to know where my visitors came from, what pages they viewed, and whether they signed up.
Plausible is open source, lightweight (under 1 KB of script), and does not use cookies at all. That last point is huge. No cookie banners, no GDPR consent popups cluttering the landing page, and no worrying about compliance across different jurisdictions. For a solo founder selling to European customers, this alone justified the switch.
The pricing is also straightforward. I pay a flat monthly fee based on pageviews, and I get unlimited websites and team members. Compare that to the hidden costs of GA4: the time spent configuring it, the BigQuery exports for anything beyond surface-level reporting, and the inevitable plugin or consultant you hire to make sense of the data.
Key SaaS Metrics I Track
My Plausible dashboard gives me everything I need at a glance. Here are the core metrics I monitor weekly.
Unique Visitors and Pageviews
Plausible counts unique visitors using a hash of the visitor’s IP address and User-Agent, which resets daily. This means I get a reasonable approximation of unique visitors without storing any personal data. For a SaaS marketing site, daily and weekly unique visitor trends tell me whether my content efforts and distribution channels are working.
Conversion Rate
I set up a custom goal that fires when someone lands on my /welcome page, which is the post-signup redirect. Plausible then calculates the conversion rate automatically: the number of visitors who completed that goal divided by total unique visitors. Right now, my site-wide conversion rate hovers around 3.2 percent, which I track week over week.
Top Pages
The top pages report shows me which content drives the most traffic. My pricing page consistently ranks second after the homepage, and I keep a close eye on blog posts that generate outsized visits. When a post spikes, I double down on that topic cluster. Simple, but effective.
Referral Sources
Knowing where visitors come from helps me allocate my limited marketing time. Plausible breaks referral sources into direct, search, and specific referring domains. I can see that a mention on Hacker News drove 1,400 visitors last Tuesday, or that organic search has been climbing steadily since I published a comparison guide. No UTM parameters required for basic source tracking, though I use them for campaign-specific links.
Goal and Event Tracking Without Cookies
One of the most common concerns about Plausible is whether it can handle event tracking. The answer is yes, and the implementation is surprisingly clean. Plausible supports custom events through a simple JavaScript API call. For example, to track when someone clicks the “Start Free Trial” button, I add a single line of code:
plausible('Signup CTA Clicked');That event then appears in my Goals section, complete with conversion rate and the ability to filter by source, page, or country. Because Plausible does not rely on cookies, all of this works without any consent mechanism. The tracking is based on aggregate data, not individual user profiles, which keeps it fully compliant with GDPR and PECR out of the box.
Revenue Tracking With Custom Events
Plausible introduced revenue tracking as a feature that lets you attach a monetary value to custom events. I use this to track two key moments in my funnel: trial signups and paid conversions. When a user completes a purchase, my backend fires a server-side event to Plausible’s API with the plan value attached.
The setup involves sending a POST request to the Plausible Events API with a revenue object specifying the currency and amount. On my dashboard, I can now see total revenue attributed to each referral source. Last month, I discovered that visitors from a single niche forum were converting at five times the rate of organic search visitors, and they were choosing higher-tier plans. That insight alone was worth the annual subscription cost.
Dashboard Walkthrough: A Typical Week
Every Monday morning, I open Plausible and spend about ten minutes reviewing the previous week. The dashboard loads instantly because there is almost no data processing overhead. Here is what my routine looks like.
First, I check the visitor graph for any unusual spikes or dips. A sudden traffic spike usually means someone shared my content somewhere, and I can confirm this by checking the referral sources. A dip might indicate a site issue or a seasonal pattern.
Next, I look at my goals. Did the trial signup rate hold steady? If it dropped, I cross-reference with the top pages report to see if traffic shifted to non-converting content like blog posts versus the pricing page. Then I review the geographic breakdown. My SaaS targets English-speaking markets, so if I see a surge of traffic from a region I do not serve well, I know the conversion rate will naturally dip.
Finally, I check the revenue attribution. Which sources are driving actual paying customers, not just tire-kickers? This ten-minute review gives me everything I need to prioritize my week. No rabbit holes, no analysis paralysis.
Limitations and Workarounds
Plausible is not perfect for every SaaS use case, and I want to be honest about the trade-offs. The biggest limitation is the lack of user-level tracking. You cannot follow an individual user’s journey from first visit to paid conversion. If you need that level of detail, you will need a product analytics tool like PostHog or Mixpanel alongside Plausible.
Funnel visualization is another area where Plausible is limited. You can set up goals and track conversions, but there is no built-in multi-step funnel view. My workaround is to create separate goals for each step: visited pricing, started trial, completed onboarding, and upgraded. Then I manually calculate drop-off rates in a spreadsheet once a month.
Retention and cohort analysis are also absent. For those, I rely on my application’s internal database queries. Plausible handles the marketing analytics side, while my app’s admin panel covers product usage metrics. This separation actually works well because it keeps each tool focused on what it does best.
When Plausible Is Enough for SaaS
Plausible is enough when you care more about actionable marketing insights than granular user behavior data. If you are a bootstrapped founder, a small team, or anyone who values simplicity and privacy, it covers the essentials without the overhead. I track visitors, conversions, revenue attribution, and referral sources, which is genuinely all I need to make informed marketing decisions every week.
The combination of being open source, cookie-free, and lightweight makes Plausible uniquely suited for SaaS products that serve privacy-conscious customers. My landing page loads faster, my visitors are not greeted with a consent banner, and I spend ten minutes a week on analytics instead of an hour. For my SaaS, that trade-off has been more than worth it.
