Case Study

Google Analytics for indoor foot traffic

Mapxus offers cross-platform indoor mapping and navigation experience to physical venues through leveraging patented wifi-fingerprinting technology.

  • GTM & Product roadmap
  • Data analytic
  • A/B testing
  • UX & UI design

The Challenge

As a contributor to the smart city development in Hong Kong, Mapxus has been perfecting its wifi-fingerprinting algorithm, indoor mapping, and positioning solution.

However, Mapxus’s main source of growth comes from projects, which makes scaling growth and operation difficult to achieve.

The goal is to transform Mapxus into a product-led growth company that leverages its flagship wifi-fingerprinting algorithm as the main tool to acquire customers with scale.

The Solution

I began by interviewing the list of lost leads to investigate the reason why they were not converted. The resounding reason was that they were not clear how Mapxus can be valuable to them; Mapxus’s value proposition solely focuses on “how” rather than “why”.

Because of this, I set up an A/B test to identify key value prepositions that are attractive to the targetted customers. Some of the targetted customers are shopping malls, hospitals, hotels, factories, schools, and public transport stations.

(Before) Make indoor mapping smart and simple

(After) Google Analytic for your indoor foot traffic

Once the team established a clear objective, I implemented analytical tools and dashboards, such as Superset and Amplitude, to help the team to understand which part of the company is holding back the scaling as a bottleneck before giving shape to the design of the product.

I then identify key priorities that align with Mapxus’s goal by setting up a roadmap consisting of the following interfaces:

  • Web Interface
  • API (OpenAPI)
  • SDK (React, iOS, Android)

The result was a modern-looking B2B SaaS that serves as the main vehicle for Mapxus’s scaling growth.

The Result

  • 219.42% increase in average engagement time
  • Improved time-to-value by 99.6% (~3 weeks to ~2 hours)
  • Improved onboarding time (3 days -> 5 minutes)

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