4 Techniques Data-driven Businesses use to Beat Competitors

Techniques Data-driven Businesses use to Beat Competitors

Technology has evolved commerce into a cutting-edge competitive sector. Various companies now have tools and facilities to maximize consumer interaction, build more powerful marketing tactics, and mitigate risks while overpowering their competition. One of the key players in reshaping enterprises is big data. 

Organizations have access to a vast collection of structured and unstructured data, facilitating decision-making. By using specific techniques, businesses save themselves the cost of making a wrong choice. Big data has also become a crucial factor influencing the customer mindset and telling them what they should buy instead of focusing on what they want. 

As business professionals, you should know how large and looming industries mold technology to their advantage. With the big data market expected to hit over $103 billion in 2027, make yourself comfortable with the idea of technology being your chief marketing strategy partner. Therefore, here’s what you need to know about how corporations thwart competition using data:

Tailor Personalized Recommendations

E-commerce has made purchasing goods highly specific. When consumers go online to browse, they are immediately whisked away with personalized recommendations and guided towards choice products and services. So, within seconds a customer decides what they want to buy and get their desired item without much thought. If consumers can’t locate an exciting article, they click away. You may consistently lose your buyers when you cannot generate good leads. 

Businesses have cultivated a data-driven culture, where the answer lies in analyzing the digital footprints customers leave behind; you shouldn’t try generic methods. Don’t assume that a Twitter handle or a Facebook live post is sufficient to keep you ahead. You need to align your company with a customer’s online shopping pattern and present a carefully drafted list of choices. 

One such trailblazer capturing and retaining a buyer’s attention is the trillion-dollar company Amazon. Based on consumers’ past purchasing habits, ratings, reviews, and interactions with different products, Amazon generates a list of recommendations. Using the terms, ‘you may also like’ incentivize a customer to reach out and take a chance with a new product. The company also uses real-time metrics such as cart abandonment rate and the turnover rate to narrow down the specificity of the products to put forward. 

Streamline Workplace Structures

Employees are the backbone of a successful organization. The innovation, talent, and ingenuity they bring to the table keep any company two steps ahead of current marketing trends. There is a chance you may fail to interpret the needs of the current workforce. Consequently, employees end up in an intense work environment with too many projects, minimal pay, and more chances of burnout. You may also have no idea what your talent pool consists of and which employee is simply occupying space. Therefore, use data analytics to reshape the culture you’re harnessing. You should also study the employees you’ve hired. 

Data analytics will help you use a digital database to survey employees, gauge their contribution and create personalized work habits. For instance, Google uses data analytics to understand its workers and hold on to skilled employees. Data analytics also allows this organization to manage projects better while also providing opportunities to work from home. When a workplace is better streamlined, your employees will feel appreciated. Happy employees will keep you ahead of the race. 

Targeted Marketing Techniques 

Most small companies in the US spend over 2% of their revenue, while giant corporations can afford up to 10%. These numbers are insignificant and indicate that a certain percentage of your profit goes into creating marketing strategies. Developing a marketing tactic for online spaces such as social media campaigns, videos, and SEO blogs is easier. However, despite the convenience, not every tactic will be fruitful, and some may even put you at a financial loss. Successful companies are all about targeted ads through predictive analysis. 

These enterprises set sights on high-profile consumers knowing their purchasing power will have a domino effect. When you manage to secure a loyal and solid client base, it becomes easy to capture the attention of the rest of the crowd. Targeted marketing strategies such as ads help you highlight your company’s products, save costs on failed methods, and enable you to interact with your consumers transparently. Your competitors will lag if you know what tactic to employ when and how. 

Airbnb can teach you how effective marketing works. By creating a video campaign during the COVID-19, Airbnb put together pictures and videos from guests to invoke a sense of community and the nostalgia of traveling. As a result, over 3 million people globally participated in this campaign, sharing and watching the carefully curated video hitting over 4 million views. 

Maintain Security for Better Investments 

You need to navigate through risks to establish a successful business. One wrong move, decision, and investment or fraud will cost your company its reputation and profit. Your competitor will take advantage of the speed bump you’ve hit and progress ahead at full throttle. Therefore, when it comes to your organization’s security, expansion, and maintaining confidentiality, you need to use big data. Tools such as Vendor Risk Management (VRM) help you select vendors, assess the risk of working with them, and establish security details. 

Through the Internet of Things, you can invest and expand your revenue. At the same time, predictive analytics help you minimize fraudulent activities and prevent suspicious traffic from accessing your database. When you’re better aware of what your company is dealing with, it enables you to invest and secure assets. Risk management also helps you stay ahead by letting you pick out profitable companies at a glance. 

The credit card company American Express is an excellent example of using big data to subside risks. In 2020, by using deep learning-based models, American Express can detect real-time fraud and manage to sweep past it with no trouble. This credit card company can also predict all types of fraudulent activity with over a 6% accuracy through long-term memory networks. The consumer base is far more comfortable working with a credit card company with minimal risks. 

Final Thoughts

Technology is a valuable tool when you know how to reap the benefits. Big data is a vital asset for your company to get ahead of the competition. Using machine learning and predictive analysis to know your consumers, fix the working environment, create specific ads, and upgrade your security puts you ahead of everyone. These simple techniques help you gain consumer attention, save costs, and maintain your organization’s reputation without compromising quality. So, if you want to leave all your rivals in the dust, integrate these methods into your business model right away.