Lean startup, the term coined by Eric Ries, affected the way we build new products and services. Essentially, it says that every business idea has to be turned to a series of testable hypotheses. Based on these hypotheses we build or introduce the changes to existing products. Those changes have to be measurable, so we collect the results of actions we did. Based on results we prove or disapprove particular hypothesis. During the cycle, we derive learnings, these learnings give a foundation for a next Build-Measure-Learn cycle.

For web-based products, measurements typically mean collecting of different user behavior metrics. Based on these metrics we can see, what users are doing in the application, their behavior has a direct influence on a product.

Many projects I participated, had "Add Analytics" as a bottom-most task in development backlog. Ignoring the task, made it hard to implement later stages. You need something like analytics.trackEvent('something happened', { data: 123 }); in many places, making code looks ugly and quite easy to miss some important details.


In my previous article, I already mentioned the Redux similarities to Event Sourcing architecture paradigm. One of the most interesting side-effects of Event Sourcing is Audit Log.

Audit Log gives you an ability to look back and see what happened. As the original idea of Redux, it allows you travel back in time.

If you follow Redux rules, everything that happens in your application is represented as an action. In terms of analytics, it means you already have all events defined, you don't need to find the place where to inject analytics.trackEvent() code.

Take a look into this code,

import { createConstants } from '../utils';

const constants = createConstants(
  // account actions

  // create website actions

  // ...

Those are constants for action types. Our goal is to turn those action types, into meaningful analytics events.

Analytics Server

At blogfoster, we are using custom analytics solution. Essentially it's an HTTP API, which receives an event and stores and distributes it for further processing. It makes it easy from integration perspective both for the web and mobile clients.

Even the back-end is quite complex there, the interface is rather simple,

HTTP POST /v1/event



If you have worked with Express.js or Koa.js frameworks, then you should already be familiar with a middleware concept. Middlewares are functions that could be injected into response-request pipeline and designed to produce different side-effects (e.g. request modification, logging, redirections, performance measurements, etc.)

Redux introduces the concept of middleware as well, which makes library not only flexible but applicable for real-world applications. We know that Redux is essentially all about synchronous workflow, but the nature of web applications is asynchronous (events, client/server communications) and this is where middleware shines.

The API of Redux middleware is pretty elegant; it's not hard to implement own functions. If we inject the function, that can analyze the action and send data to analytics server, we will reach our goal, without touching any application logic.

import { client } from "../analytics"

const handleAction = (store, next, action, options) => {
  if (!action.meta || !action.meta.analytics) {
    return next(action)

  const { eventType, eventPayload } = action.meta.analytics

  client(options).track(eventType, eventPayload)

  return next(action)

export function createAnalytics(options = {}) {
  return store => next => action => handleAction(store, next, action, options)

As you can see, the handleAction() function checks, if there is meta data related to analytics exists in action, it will pass it to client that would when to make HTTP request to analytics server.

Configuring store

We need to apply middleware function now, it's done via applyMiddleware() Redux helper,

import { createStore, applyMiddleware } from "redux"
import { createAnalytics } from "../middleware"

const middlewares = [
  createAnalytics({ host: "ANALYTICS_HOST", token: "ANALYTICS_TOKEN" }),

const enchancer = applyMiddleware(...middlewares)

export default function configureStore(rootReducer, initialState) {
  return createStore(rootReducer, initialState, enchancer)

Augmenting Actions

I came up with a small utility function, to minimize modification of existing action creators as much as possible,

import constants from "../../constants"

export function loadedDashboardState(website, status, news, revenues) {
  return trackable(
      type: constants.DASHBOARD_STATE_LOADED,
      payload: { website, status, news, revenues },
    "Dashboard opened", // <- event name
    { name: website.name } // <- additional event data

export function loadingDashboardStateFailed(err, resp) {
  return trackable(
      payload: { err, resp },
    "Dashboard loading failed",
    { error: resp.text }

Where trackable(),

export function trackable(action, event, properties = {}) {
  const analytics = {
    eventType: event,
    eventPayload: properties,

  return { ...action, meta: { analytics } }

That's it. Now go through all action creators and wrap actions you need to log into trackable() function, so they became trackable, and middleware would send them to the analitycs server.


Even if you don't think about analytics from the very beginning, Redux architecture allows you to plug it in whenever you want (or need it). Based on Audit Log you can watch and turn actions into corresponding analytics events. Middleware functions would allow to hook all actions and turn them into analytical events.

PS. During my writing time, developers from Rangle.io participated React-Europe conference and gave a nice talk about the topic above. So, I would recommend you to check it out for further details.