This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Zenovay brings the parts of your web analytics stack that usually live in separate tools into one platform. See which channels and campaigns drive revenue with five attribution models instead of one number, understand visitor behavior, monitor performance, uptime and errors, and explore your data in real time. Connect the tools you already use, and get a clear picture of what is happening on your website.
Hey Product Hunt 👋
We built Zenovay because web analytics is still unnecessarily fragmented.
Traffic lives in one tool. Revenue lives somewhere else. Heatmaps, session replay, uptime, errors and performance each get their own dashboard. By the time you connect the dots, you have already lost the context.
Zenovay brings those pieces together in one platform.
With Zenovay, you can:
• see which channels and campaigns actually drive revenue
• understand visitor behavior with heatmaps and session replay
• catch errors, uptime issues and performance regressions early
• monitor live visitors, pages and sources in real time
• connect the tools already in your stack and import GA4 history
• go deeper with SQL, exports and a developer-friendly CLI
Zenovay is built for anyone who wants a clearer picture of their website. Whether you are a founder, developer, business, marketing team, agency or simply someone who loves understanding how things work.
We wanted to build analytics that gives people the full picture without making them stitch together five separate products.
We will be here throughout the day to answer questions and collect feedback. We would love to hear what resonates, what does not, and what you would like Zenovay to help you understand or do next.
Congrats on the launch. The thing I like most is that you show five attribution numbers and openly say they disagree, instead of picking one and calling it the truth. Most tools hide that part. One question from the content side: can the revenue attribution go down to the single page or blog post level? The number I always want but never trust is "which piece of content actually brought the money."
Would love to see a cohort analysis view built in so I can track how different acquisition channels perform over time, not just the first-touch attribution. That would make the multi-model approach way more useful for figuring out which sources actually retain users long term.
A few people have asked how the attribution models actually differ, so here is the concrete version.
Same customer, same journey. First touch credits the blog post that introduced them. Last touch credits the pricing page they landed on before paying. Linear splits it evenly. Position based weights the first and last. Time decay weights whatever happened closest to the payment.
The number changes by a lot. That disagreement is the honest part, and it is why we refuse to show you one figure and call it the answer.
About Zenovay on Product Hunt
“Web analytics that connects traffic to revenue”
Zenovay was submitted on Product Hunt and earned 9 upvotes and 6 comments, placing #56 on the daily leaderboard. Zenovay brings the parts of your web analytics stack that usually live in separate tools into one platform. See which channels and campaigns drive revenue with five attribution models instead of one number, understand visitor behavior, monitor performance, uptime and errors, and explore your data in real time. Connect the tools you already use, and get a clear picture of what is happening on your website.
Zenovay was featured in Analytics (173.2k followers), Marketing (467k followers) and SaaS (43.6k followers) on Product Hunt. Together, these topics include over 147.4k products, making this a competitive space to launch in.
Who hunted Zenovay?
Zenovay was hunted by Jasin Banovi. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Zenovay stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Jasin Banovi