OUR SERVICES

App Analytics

Our Mobile App Command Centre (MACC) tackles the problem of identifying and acting on real time mobile app insights with a deep dive into real-time app transactions, user behaviour, reviews, monitoring, and ultimately, your business.

We’ve been building apps here at Adapptor for more than a decade. In that time our toolkit has grown to encompass multi-platform, server-side, analytics, monitoring, roadmap management, relentless testing, disaster recovery, and more. In short, everything necessary to create compelling apps that drive growth or simply make users happy. A modern app might be built with React Native, distributed to the major stores, persist analytics in Firebase, send crash reports to Sentry, receive notifications from Salesforce, interact with a client’s server API, and make payments via another vendor.

It turns out keeping track of this many moving parts is challenging. In recent years we’ve burned time consulting diverse systems and dashboards trying to monitor an app’s health. But when we looked for a SaaS offering to help us see the forest for the trees, we came up empty. So we built it ourselves.

MACC

So much for MACC’s origin story. What can it do for you?

MACC comprises a set of fully managed services backing high-quality interactive visualizations, all accessible from phone, tablet, or the web. It is your one goto to gain actionable insight into your app.

A MACC service tailored to you might include:

  • Business vitals, such as revenue, product performance, and how these are impacted by new app features

  • App usage, including how many new users your app is attracting, how sticky they are and what features are hits

  • Platform, communicating the kinds of devices and operating systems being used. Help support product investment decisions based on platform based ROI.

  • Environmental, plot weather, COVID cases and other environmental operating data against your own app data to provide deeper insights into app performance.

  • Error monitoring, providing a heads-up on problems your users are encountering in the app, from your backend APIs, and third-parties that you depend on

  • Reviews direct from the App and Play Stores and the ability to respond via a workflow

  • Map views of sales and where your customers are transacting

  • In app surveys and promotions. Set-up, deliver and track response rates all within MACC

All cleanly presented with interactive date scrubbers, decorations for key events, and overlays that help you integrate information into insight.

How do we get started? Drop us a line to hello@adapptor.com.au and one of our Product Managers will set up a meeting to answer any questions you may have and see if MACC could be a good fit for your mobile apps.

Technical Information

MACC’s architecture is designed to provide the power of a rich set of reusable components with the precision of bespoke customisation.

HARVEST

The first stage of the ongoing MACC lifecycle is to marshal all unstructured data into a data lake. Analytics generated in-app, including generic app events (e.g., screen views), and custom events (e.g., product sales), can be ingested from the usual suspects — Firebase, Omniture, Salesforce — and new sources are easily added. Third-party data relevant to your app’s domain can also be imported, and MACC includes a number of standard sources, including weather, calendar events (e.g., public and school holidays), and COVID case statistics. The standard data lake platform is Google’s BigQuery, but other platforms can be supported.

GRIND

The second stage is to clean and shape unstructured data, and store it for fast retrieval by the data visualisation layer.

SERVE

We employ a Mongo API for authenticated access to data.

All of the above are hosted on managed services that provide scalability, security, and redundancy that is highly tunable to need.

DRINK

All of the dashboarding goodies — visualisation components output to a web based dashboard (and into native mobile apps if required) with timezone selection for distributed user groups.