ANALYTICS

We provide custom website design in Australia with special focus on analytics.
Discover how your website analytics can help boost business.

USING BIG DATA FOR BUSINESS IN AUSTRALIA

As a leading web design company in Australia we are often faced with the topic of Big Data and what it means for business. At Chine Digital we understand that your business deals with large volumes of data on an ongoing basis. Absolutely every business activity generates data.

USING ANALYTICS TO BOOST BUSINESS IN AUSTRALIA

At Chine Digital, we provide professional custom website design in Australia with special focus on Analytics. We provide advanced analytics solutions that provide greater insight into the behaviour of your customers as well as your internal business processes. By understanding how consumers use your website, you can gain the competitive edge while taking your business to the next level of success. With our custom- designed analytics systems, you can expect to better understand your website’s statistics and use the analytical data to your advantage.

The information that you can glean from your website analytics includes:

  • Demographic information (where your audience is, how old they are etc),
  • How many browsers are currently using your site,
  • Who your target audience is,
  • Audience behaviour,
  • Which of your website pages perform the best,
  • Campaign data.

This information can be used to ensure that your website and digital marketing efforts are targeted for the best possible outcomes. If something isn’t working, you will become quickly aware of it. You will also become quickly aware of which campaigns and pages are working the best. You can capitalise on this type of information.

WHEN YOU REGISTER FOR OUR WEBSITE ANALYTICS SERVICES, YOU GET:

  • Advanced analytics tools
  • Conversion metrics reporting
  • Modern technology
  • Improved business operations
  • Analysis and reporting in real-time
  • Analysis of Cloud data
  • Management and storage of data
  • Correct integration and governance of data
  • Risk management assistance
  • Predictive analytics