Product core

Modern analytics and A/B testing explicitly designed for conversion optimization.

Welcome screen / Volument helps you build something people genuinely want.
Volument tells you what works / Volument measures how your visitors build interest, desire, and traction
Know how to improve / Compare any two pages, referring sites, or niche markets.
Know your bottlenecks / Learn where most visitors lose their attention in just a few seconds

Why?

Take any analytics product out there, like Google Analytics, Mixpanel, or Heap, and they will all tell you in meticulous detail what's happening. It feels good because every possible thing is can be queried from the database. However, this feeling can fool you:

  • Missing insights. Just ask these basic questions: Which audiences generate the most traction? Which landing pages work the best? How good was my latest change on the website? Whatever answer you end up with, it is based on a general data model that is not designed for conversion optimization.
  • Too much data. In an ideal world, everyone would know company metrics and understand how their work impacts growth. However, the reality is not quite there: you have hundreds of different views to check out, way too many metrics, and too many opinions on how to interpret the data. It's all pretty confusing.
  • Hard to optimize. Optimization is about measuring the impact of changes on the website and acknowledge their success or failure. However, general analytics lacks a functional definition for success. You don't have a clear goal and it takes weeks, even months, to get statistically significant optimization results.
Mixpanel cohort report / Cohort reports are complex and limited, yet the best systems for understanding whether you are building something people want
Optimizely A/A test / 4,400+ visitors and 20 days was needed to show that <mark>the versions were identical</mark>🤷
Google Analytics / Over <mark>110 different views</mark> to choose from the sidebar. Just count them.

Volument was built to solve this complexity.

Learn more

How Volument works

Broken metrics in general analytics

Problems in traditional A/B testing

Why traditional A/B testing is slow

Google Analytics vs. Volument

Mixpanel vs. Volument

  • The basis for the user- and project management and access control
  • Designing and implementing the user interface
  • Benchmarking the right technologies for maximum scalability
  • Designing the analytics backend for data tracking and aggregation
  • Building an (almost) worry-free automated system that scales infinitely
  • Generating traction data for market segments
  • Generating page engagement data

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