---
title: Spec Document for Plausible Analytics
tags: magesmiths, product, analytics
---
# 1. Objective
The objective here is to list out the rationale for using Plausible Analytics, as well as the steps required for getting Plausible set up.
# 2. Rationale
## 2.1 Why analytics?
We currently does not have any analytics set up for usage information and trends, preventing us from making **data-driven product decisions**.
A product analytics tool will show us how users are using the app on daohaus.club, helping to **increase the accuracy of our product and design decisions**. This is an important data input which can be **complemented with other on-chain data sources (such as Dune dashboards)**. At the end state, we will have a **birds' eye view of DAOhaus metrics**, enabling us to make better decisions from both off-chain and on-chain sources.
## 2.2 Why Plausible?
Plausible was chosen because:
1. Open-source & built in the open [(roadmap here)](https://plausible.io/roadmap)
2. Lightweight (<1KB )
3. Respects privacy (no cookies at all)
The other alternative was Matomo and the Plausible team did a [comparison here](https://plausible.io/vs-matomo).
At this stage, Plausible seems to be a better fit as it is **easy to set up, has features we need (page analytics + events tracking) and doesn't use cookies at all**. Pricing seems to scale more fairly too (Plausible's monthly cost is $12 while Matomo's $60 for a 100K monthly page view site)
Given that there's a 30 days free trial, we should **set up Plausible, understand our actual analytics needs and then re-assess its suitability within the 30 days**.
# 3. Steps to set up
I can set things up, but here's an overview of the steps required.
1. Set up account
2. Paste script in <script defer data-domain="aaaaa.com" src="https://plausible.io/js/plausible.js"></script>