< Blog

How can companies use data intelligence to raise their online profiles?

By:

Maria Berns

Business Analytics
May 3, 2022

Your online reputation (ORM) has a huge impact on the bottom line of your business. What is reputation management?

It’s the process of managing a company’s image, both online and offline. Reputation management is an important part of any business, but it’s also a critical part of your digital marketing strategy. 

Online reputation management is all about keeping an eye on what people are saying about you. You want to know what’s being said, who’s saying it, when it’s being said, and what the content is. To make online reputation efficient, businesses are turning to big data analytics and artificial intelligence to understand customer behavior. 

It’s easy to fall into the trap of thinking that your company´s online reputation management is all about how you look on social media. However, there are many other factors that can impact your online reputation. 

In the early days of the Internet, companies used search engine optimization (SEO) to raise their profiles. SEO provided them with free publicity through the use of keywords. Then they did this through social networking sites, such as Facebook and Twitter.

In recent years, however, there has been a dramatic change in the way companies use data intelligence to raise their online profiles. The process starts with the collection of data about the company and its products or services. Whatever the source of the data, social media, email, customer surveys, and much more, it is used to help the company understand what their customers want. This is the first step in the creation of an online profile for the company. In the second step, this data is used to help identify trends and patterns. Trends are things like “the majority of people who buy from us are male”, “the majority of people who buy from us are aged between 30 and 50 years old and have bought our products in the last six months”. Once the trends and patterns have been identified, they can be used to create a digital footprint for the company.

Data analytics can help you uncover issues before they impact your reputation. When you know that there are problems, you can take action to correct them. Data analytics also helps you predict consumer behavior. This gives you the opportunity to reach consumers with offers or promotions that align with their interests and needs. This helps you to build relationships with consumers that will make them loyal to your brand.

With the help of technology and big data, retailers are finally being given a chance to compete with the likes of Amazon in an increasingly competitive retail landscape. This is where big data analytics comes into play. You can’t effectively manage your reputation without data analytics. Big data analytics can be used to: track trends in social media, identify which areas of your business are receiving the most attention. identify customer sentiment, and monitor customer satisfaction among other things. 

Artificial intelligence (AI) is becoming more and more commonplace in e-commerce, and it can be used to improve the customer experience and increase sales. It can also help brands gain a competitive advantage and reduce costs, create more effective marketing campaigns, help customers find the right products and predict future sales. 

AI is being applied in many different ways to transform the customer experience. For example, by leveraging AI, Amazon is able to detect customers who are having trouble navigating its website, and then deliver targeted messages to them. The retailer also uses AI to make recommendations based on customers’ browsing history. AI is also being used to create more personalized product experiences. For example, Nike+ uses AI to create a personalised running experience based on users’ fitness levels, so they can enjoy a more enjoyable run. Another way retailers are using AI to enhance the customer experience is by using chatbots. 

Some retailers use AI to help customers find the products they want in the first place. Other retailers use AI to help customers find the products they want at the best price. Retailers can also use AI to predict when customers will return to purchase certain products. 

Coupling data analytics with Artificial Intelligence (AI) is the next step in your route to becoming a competitive contender in the online market in these times.

It´s up to you to take action.

A final thought

Have a lot of data and not sure what to do with it?

By signing up to this form I agree, that Datavalue may store my data and may contact me using the email address I have provided with promotional emails about products, special offers, and other information which may be of interest. Please also read our privacy policy. You can revoke your consent at any time
If you need help with your Digital Strategy don't hesitate to contact us.

Enjoy this article?
Thank you! Your submission has been received! We will share the report directly to your email.
Oops! Something went wrong while submitting the form.
Thank you! Your submission has been received! We will share the report directly to your email.
Oops! Something went wrong while submitting the form.

IT'S NOT ABOUT
DATA. IT'S ABOUT
VALUE

Our low code and serverless solutions use advanced analytics to deliver
powerful information for your business success.

Others blogs..

How can companies use data intelligence to raise their online profiles?

Business Analytics

May 4, 2022

Drive with Business Copilot the route to overcome challenges as a retailer

Data Analytics

April 27, 2022

Data Science is everywhere and everyday in our lives. You are one great data generator.

Data Science

April 27, 2022