Web Analytics Team

Web Analytics Team

People

Recently shipped

Session properties

Session properties enable you to filter, breakdown, and analyze session-level data such as:

  • Entry URL, UTMs, and click IDs
  • Exit URLs
  • Session pageview and autocapture count
  • Bounce rate and session duration

All this is automatically captured when you use the JavaScript Web library with autocapture.

Goals

  • Make querying fast enough for large customers
    • Sessions table - ship the sessions and switch web analytics over to using it
    • Slow lane - ensure web analytics queries are compatible with the slow lane
  • Do personless events work where necessary (unknown amount of work)
  • Iterate on customer feedback
    • Saved filters
    • Live online user count
    • Improve refresh behaviour
    • Investigate synergies with session replay
  • Product management work
    • Do interviews with YC companies/later stage people to get feedback
    • Figure out the relation between product analytics and web analytics within the product
    • Make web analytics a first class product on website/docs, change positioning where necessary

Handbook

Who are we building for?

Personas

  • Primary Personas:

    • Technical Founder
      • First technical person at the company, responsible for setting up the initial landing page.
      • At an early stage, wants tools that initially cost little to nothing, but won't need to be replaced as the company grows.
    • Product engineer
      • These are the engineers building the product. Normally full-stack engineers skewing frontend or frontend engineers.
      • Product engineers have more limited time. Need to quickly get high-quality insights to inform what they are building and assess what they've shipped.
  • Not a focus but should be usable by:

    • Other engineers
    • Marketing
    • Everyone in the product team (PMs, designers)
    • Non-technical leadership

What types of companies?

We want to build something that will convince our existing large (20k+) customers to turn PostHog on on their marketing website.

Jobs to be done

Web analytics is an opinionated tool, that will help people:

  • Measure and improve the effectiveness of their acquisition strategy
  • Measure and improve the effectiveness of their conversion funnels
  • Understand who is using their website
  • Understand how their website is being used
  • Create simple-to-medium complexity combinations of these (e.g. how likely are people who came in from this ad to convert, compared to everyone else)

Additionally, it should be:

  • Easy to set up
  • Easy to use
  • It's ok if that means we don't cover every use case, as people who need more can use product analytics

Roadmap

3 year goals

  • Be useful for the best high growth companies right from the start
  • Lead companies into other PostHog products as they start to need them, massively boosting them
  • Run on cheap and fast infrastructure
  • Can scale to the biggest websites in the world
  • Solve the extremely common problem of marketing and product using completely siloed data stacks

Feature ownership

You can find out more about the features we own here