Getting Started With Analytics for
Product Market Fit

When we launched our first product, monitor.website.io, a set of tools for monitoring online services (website, database, and other services), we had no traffic. We knew there was a demand for our product, but we didn’t know the best way to invest our time and resources into marketing.

If you’re like us, you don’t have a dedicating marketing team or an unlimited budget to throw at marketing. You understand that the marketing decisions you make early on will determine if your company thrives or dies.

This is where product market fit comes into the picture which will abbreviate as PMF in this article.

What is Product Market Fit and Why it's so Important

PMF is the process of determining which marketing channels will provide you consistent customer growth to reach profitably. The other part of PMF is getting product feedback early on in the process to help remove assumptions and improve your product.

Taking a closer look we have,

• Product, is the value your service brings to your customers. For companies trying to find product market fit, they need to quickly gather feedback in order to improve their product in order to improve sales and conversions.
• Market, which is all about finding your customers. In the initial phase it’s about finding the early adopters willing to try out your product. Secondary, is to find a predictable marketing channels where the cost for acquiring the customer is less than the lifetime value of the customer.
• Growth, is about finding one or more marketing channels that provides a predictable revenue channel that allows your business to achieve profitability

Why use PMF analytics

In the world of online marketing you have more choices than ever before.

• Social media (Facebook, Twitter, Instagram, TikTok, YouTube), SEO, Affiliate Marketing, Blogs / Cross Site Content, Sponsored ads.

When we started with our first product, we decided on a marketing strategy that was a mix of paid and organic. We split our resources between cultivating community through social media and spending time planning paid advertising via Adwords and sponsored podcasts.

Without having a good way to measure success, we ended up sinking more time and resources into marketing strategies that provided little to no value. To make matters worse, we made incorrect assumptions that sent us in the wrong direction, instead of helping us reach PMF.

Even though we used Google analytics, we still couldn’t easily tell which marketing strategies was most effective and how our customers were using our product. We researched other tools on the market, but it seemed complicated and resource intensive to setup.

Last year, we built our own analytics tool that provides real-time insight into PMF metrics. The goal was to help us determine which marketing strategies had the best ROI and get product feedback in order to take actionable steps to reach PMF.

Making better business decisions

Conclusion