The Importance of Leveraging Analytics in Ecommerce Website Design

ai in ecommerce
Shutterstock Photo License - By Andrey_Popov

Analytics technology is incredibly important in almost every facet of business. Virtually every industry has found some ways to utilize analytics technology, but some are relying on it more than others.

The e-commerce sector is among those that has relied most heavily on analytics technology. Many e-commerce sites are discovering more innovative ways to apply data analytics.

One of the most important benefits of analytics in e-commerce is in the web design process. However, this entails many issues beyond the design itself. Analytics technology can help e-commerce entrepreneurs better understand their target demographics, conceptualize product launch offerings and much more.

Analytics Technology is Vital to Web Design in the E-commerce Sector

There is no doubt that analytics is transforming the e-commerce sector. E-commerce companies are expected to spend over $22 billion on analytics technology by 2025.

When you are trying to assess opportunities for a future resource and implement it successfully, you need to write down the features that you are looking for. When creating a business plan, you should think about the challenges you cannot accomplish without a good strategy and what strategy would work best to address them.

You will find that analytics will make these processes much easier. If you have any difficulties, please contact the e-commerce developer. It is necessary to draw up a plan for the following purposes:

• set feasible tasks; it can be to genereate several hundred sales by the end of the year;

• analyze the prospects of the chosen niche;

• study competitors and understand why your offer is better;

• establish start-up capital, prescribe what you will spend it on;

• identify possible difficulties and how to solve them.

The good news is that highly advanced predictive analytics and other data analytics algorithms can assist with all of these aspects of the design process.

Selecting a segment with analytics

You need to choose the right niche for your future online store. Those who think that this is not an important task are mistaken. Working in an exciting niche that can generate income is better than working on a highly profitable one that involves a lot of boring activities.

Unfortunately, choosing the right niche can be a lot harder than you think. The good news is that analytics technology is very helpful here. You can use analytics tools like Google Trends and keyword research tools to gauge the general interest in a particular niche. You can also use data mining technology to learn more about the niche and find out if it will be a good fit.

There are specific criteria to understand when trying to choose a niche:

  1. You can work on maximizing potential profit, but also going in a certain direction. This involves identifying an area of interest that will allow you to compete in times of crisis.
  2. There are prospects to expand. If you started selling women’s shoes, then in the future you can add shoes for for children and men.
  3. After the analysis, we learned what your advantages over competitors are. Perhaps you will provide expert advice when the client chooses a product, offers lower prices, and promotions.

If you have not decided what you will sell, you want to sell a product in demand, you can use the statistics of specialized services, research major players. Detailed market analytics will make this a lot easier.

Price segment for goods

The business will certainly not be able to cover the niche completely, so you need to decide which segment will be a priority. It may be cheap or expensive goods. The details differ in the following ways:

  • target audience, expensive things can be bought by entrepreneurs or travel lovers;
  • for inexpensive goods, you can use messages in advertisements to attract the attention of potential customers to discounts;
  • time to make a purchase decision, cheap ones, as a rule, acquire spontaneously, while expensive ones are looked at for a long time.

You can use data mining tools to aggregate pricing information of various products. After this is done, you can use analytics technology to assess your options and find out which products would be the best fit.

We are looking for reliable suppliers

Analytics technology can also help you scrutinize potential suppliers and decide which are best for your e-commerce site. This is a crucial step when launching an online store. Making the right choice involves determining:

  • quality of the assortment;
  • choice;
  • regularity of deliveries;
  • the ability to make additional deliveries;
  • preferential sales prices.

To find a supplier for an online store, you need to monitor search engines, specialized catalogs and services where joint purchases are made. If it is not possible to rent a warehouse, make purchases in bulk, you need an extensive assortment. You can use fulfillment or drop-shipping.

When you negotiate with suppliers, you need to ask:

  • whether they will be able to provide official documentation;
  • minimum purchase lot;
  • method of delivery of paid goods;
  • who repairs or replaces under warranty;
  • whether it provides photographs and descriptions of goods.

The fruitfulness of cooperation depends on this.

Drawing up a portrait of the target audience

Another benefit of analytics technology is that you can better identify your target audience. These are the people who may be interested in purchasing a product or receiving information. They should see promotional offers. If you own the data that the average customer in your online store is a middle-aged woman with higher education, lives in the capital and is preparing for a wedding, then you can:

  • make accurate targeting;
  • prescribe effective messages;
  • understand triggers to influence customers;
  • decide on the promotion channels.
  • Consider the type of target audience. There may be several of them:
  • the main audience, which includes people making purchasing decisions;
  • indirect – are related to the influence of the first type on the purchase;
  • broad audience – people who are looking for the product that you offer;
  • narrow audience – looking for a specific product model.

We create a brand and register a domain

The process of creating your brand is an investment that pays off for a long time, but with successful development will bring profit without effort in the future. This is the logo or name of the online store and the associations of customers with positive impressions.

Analytics technology can help in a number of ways. There are predictive analytics tools that can help you project the future value of a domain name and forecast sales potential based on the amount of search engine traffic that it could generate.

Analytics is Crucial to the Future of E-Commerce

The e-commerce sector is changing in response to data analytics technology. You need to consider the merits of investing in the right analytics solutions when designing a new website for your online store.

Sean Mallon
Sean is a freelance writer and big data expert. He loves to write on big data, analytics and predictive analytics.