Reap the Rewards of Big Data Analytics

January 20, 2023

E-commerce businesses now have access to a broader set of customer service tools, and it’s all thanks to the recent development of online tech. Utilising tech such as data analytics tools can help in a myriad of ways throughout your business.

Big Data Analytics (BDA) is just one of the technologies that have piqued the curiosity of researchers and e-commerce businesses. The key benefits of audit data analytics include recognising the appropriate pricing, identifying the most lucrative and loyal consumers, dealing with quality concerns, and determining the optimal inventory level.

Questions to Ask Yourself

If you don't measure your progress, how can you hope to improve?
How can you expect to continuously advance if you don’t have a set plan to stick to?

Business Facts to Keep in Mind

- Planning ahead is essential for a successful strategy.
- Profitable firms grow by reflecting on their past efforts and trying new ideas.

E-commerce data analysis is the key to understanding all of this. To make the best possible decisions for your company, analytics lets you dig deep into the numbers, your company's past data, and projections for the future.

What is Data Analytics & Big Data?

Collecting information from all your online customers is a golden opportunity. For an online store, this information can shed light on several key areas. These features are listed below and help us to answer the question, "what is data analytics, and what can it do for you?”

  • Overall customer experience.
  • The quality of your products.
  • Financial transactions.
  • Accuracy of pricing.
  • Marketing and advertising.
  • Predictive modelling.
  • Track the success of competitors.
  • Current brand perception.
The influence that audit data analytics has on e-commerce firms can be felt across the entirety of the consumer experience. It can be especially helpful to gather insights about brand awareness and analyse customer purchasing habits.

Why Analysing E-Commerce Data Can Be Effective?

Collecting information from all the sources that can affect your shop is what e-commerce analytics is all about. You can then utilise this information to learn about the habits of your customers and the patterns they exhibit while buying online.

Data-driven decision-making ultimately leads to better outcomes, such as increased online sales. E-commerce analytics can contain a wide variety of measures relevant to the whole customer experience, including the following:

  • Audience
  • Acquisition
  • Behaviour
  • Conversions
  • Paid Marketing Activities

How Can Your Business Grow from Ecommerce Analytics?

Through the use of analytic algorithms and a customer sample derived from big data analytics, businesses can accurately predict which customers are at risk of leaving. This allows them to intervene on an ongoing basis and keep them as paying customers. To unlock the commercial potential in big data and boost revenue, we can adjust a number of dynamics:

1. Tailored Service & Personalised Offers

Retailers collect large amounts of data from various channels. Businesses can customise services and promotions for loyal and new clients using real-time information.

2.  Utilising dynamic pricing to entice new customers

Competitive markets require dynamic pricing. A dynamic pricing system such as Amazon’s can analyse competitor prices and send warnings every 15 seconds, increasing sales significantly.

3. Developing seamless customer service

When online retailers employ contact forms and live chat, business data analytics can boost CRM value. Firms can offer proactive maintenance utilising product sensor data.

4. Detailed chain process management

Big data analytics from third parties can aid the supply chain process. Customers expect to see their availability, status, and location when ordering online.

5. Identifying fraud and other security concerns

Aggregating data allows real-time fraud detection. You can combine client transaction data with purchase history, browser logs, social feeds, and smartphone geographical location data.

6. Analytical predictions and modelling

Big data and decision science techniques can anticipate customers' commercial potential and future sales trends, letting organisations better predict inventory requirements.

Our Final Thoughts

If you want to make smarter choices, it's important to collect and evaluate consumer data using e-commerce data analytics tools. You can't afford to sit on the sidelines if you're a business owner who wants to thrive. Take charge by monitoring the KPIs that matter most to your business. You'll be able to make more informed decisions using relevant business data analytics and keep your company on track.

ZeroGrey’s data and marketing services provide all the data analytic tools you need to succeed. Get in touch today and find out how we can work together to take your business to the next stage and beyond.