How Marketing Analytics enables better Decision Making?

How Marketing Analytics enables better Decision Making?

The desire to stay ahead in the competition has made organizations use data-driven marketing strategies to a better result. Marketing analytics allows organizations to have an inclusive insight into their customers, the dynamics of their business, and the outcomes of their initiatives. Efficient marketing campaigns are based on data. The availability of a wide range of variables to analyze data is crucial to determining what kind of data appeals to the customers. Nowadays, companies utilize systematic statistical reasoning and analytics to achieve profits, reach more customers, and improve their efficiency.

Data Analytics and Strategic Decisions go hand-in-hand

The introduction of data analytics in marketing strategies has already disrupted existing business models. This was inevitable as the accretion of new data sets and massive data transferability was bound to threaten existing technological hubs and the information they provide. Organizations have made more fact-based and efficient decisions by using business analytics to utilize comminuted data for personalized products and initiatives, which magnifies the digital platforms to match the customers with the sellers. An organization using data analytics as a base of their marketing strategy has the following advantages over other businesses in the market

Strategic Decision making

Data analysis in marketing strategies plays a vital role. For instance, Nike's most popular sports brand availed themselves of location strategy and layout and design strategy. The production facilities of the brands are near the most important markets. Their sports shoe suppliers are located in South-East Asia because of the cost advantage of cheaper labour in the region.

High Operational Efficiency Data is the new oil for organizations to understand their outcomes and efficiency. Analysis of data in marketing strategies helps determine the strategy's outcomes, customers' engagement, and supply-chains.

Types of Analytics

There are vast ranges of techniques and capabilities that are offered to analytical practitioners. However, the crucial most methods at their disposal are:

Descriptive Analytics

This is the most fundamental technique that involves the preparation of data for subsequent analysis.

Predictive Analytics

This is one of the methods that predict the future circumstances of the market with the help of advanced models to forecast the outcomes.

Prescriptive Analytics

This is the most efficient way and utilizes machine-based learning algorithms and dynamic rule engines to provide interpretations and results.

These techniques find their way to the organizations and marketing strategies because of their efficiency in different cases and scenarios. Organizations can also use these techniques in determining workforce, supply chain, finance, and risk strategies at the organizational level.

How Analytics Help in Marketing Strategies?

Google Analytics

An excellent way for organizations to process and understand the data is to digitize them. Digitizing their customer interactions will lead to an extended domain of information. This will be a source of vital information for the organizations, but interacting with their customers will be more efficient. By analyzing data, the companies can feed into strategy, sales, marketing, and product development. Now one might ask how these data help in the marketing strategies. Following are some ways the marketing data analysis can be helpful:

How are the marketing initiatives of the company doing?

What is the efficiency rate of those initiatives in the long run?

Are there any requirements for further improving the marketing tactics?

How can the current performance improve?

Can the company surpass its competitors?

What are the marketing initiatives of the competitors that prove to be successful?

Does the way of approaching customers need to be changed?

What are the main priorities of the marketing strategies?

These are ways that studying the data can be helpful in marketing analytics and implementing new tactics accordingly.

Better Decisions with Marketing Analytics

With its diverse uses and efficiency rate, marketing analytics has acted as a keystone for organizations to make strategic decisions. The analysis has offered the organizations to make their business more customer-oriented and helped in making operational strategies. This radically changes the notion about the importance of data and how analytics have been proved in making better decisions. Advanced statistical models have supported marketing analytics and provided inclusive and profitable insights from unconventional data sets. This extends the domain of organizations to new territories that might have been out of reach in the traditional method. The following sections scrutinize how marketing analytics can help in making better decisions overall:


Engaging more Customers

The modern market is living in an entirely customer-oriented era, and customer satisfaction plays a vital role in the process. The wealth of consumer information and data acts as a valuable source in improving efficiency and planning the market strategies accordingly. According to research from Mckinsey, organizations that are strategically using their customers' preferences are said to have gained advantages in the market by 85% in sales growth and more than 25% in gross margins. Therefore, the marketing faculties need to target the strategic importance of consumer information.
According to the customers' data, organizations can utilize customer profile reading and customize their products according to the significant preferences. By providing thoughtful market segmentation, marketers can avail themselves of insightful details about buying habits and preferences. For instance, an online retailer can explore its web presence and improve its digital marketing initiatives accordingly.


Driving performance

While consumer data scrutiny and customer satisfaction are vital in marketing analytics, offering customers efficient products and good performance is crucial in marketing analytics. Data and analytics can be beneficial in reducing inefficiency and streamlining business operations. Marketing analytics need to target customers' needs and promote the product's efficiency rate and how the products or services enable the customers in a great user experience.
Another region where data analytics is said to be very crucial is providing a distinct value proposition, i.e., Supply Chain. Supply chains contribute to the company's cost structure and have an intricate nature that makes it highly efficient for looking at strategic opportunities and benefits.


Answering business questions

Where will the organization be beneficial for advertisement? How can the organization reach its target demographic efficiently? Marketers can provide data-driven initiatives that will result in positive outcomes. Organizations can use market analytics to answer business questions and give insights on the circumstances which need targeted marketing initiatives. Individual marketing statistics, such as the highest-converting traffic channel or the lowest CPC ad campaign, provide insight into these business questions.


Gaining the customer perspective

Marketing data can produce the complete journey of customers to the contentment whether they are receiving or not. Sales data form a clear conception of the customer journey towards the products. What kind of traffic sources produce the highest rates? Which ad campaigns will be beneficial and will attract more potential customers?


Finding new opportunities

Marketing analytics can aid organizations in extending their domain by conducting campaigns that will indicate new opportunities. For instance, the marketing statistics of a clothing brand can give the source that customers are expected to buy accessories if they introduce the new section. Marketing data can help organizations look beyond their recent campaigns for indications of unknown outcomes. Is there a beneficial new source of traffic with high conversions? A new market can be revealed by further studying data analytics. Is there any ad campaign that produces high return rates after merging sales and marketing data? The organizations may look through the marketing analytics and search for a specific ad campaign that suits their customers' preferences.


Strategic marketing decisions

Including data-driven processes in marketing, analytics increases the chances of more customer engagement and efficient outcomes. Initiatives and decisions based on a database and a complete understanding of the massive array of information are more efficient than the traditional trial and error method. The marketing analytics help the organizations make operational processes according to the current market rates and customer preferences, resulting in a positive outcome with high ROI.

A marketing analytical practitioner has a mountain of analytics data at his or her fingertips. For using the data efficiently, it's essential to align the data analysis with the market-stage goals of the business. Whether it is finding new business opportunities or improving product performance, marketing data analytics can impact every aspect of digital business.


In the modern market's fluidity, organizations must consider different perspectives and look at two main big pictures of the data-driven needs. The first scenario identifies the high risks and rewarding opportunities like changing their business domain or entering new markets. The second scenario includes marketing analytics into core business ideas to focus and engage the customers more.

There are various advantages of embracing the market data analytics into their strategies, such as – identifying customer trends and preferences, streamlining internal business processes, making room for constant improvements through feedback, and interpreting and monitoring upcoming risks. Therefore, decisions taken based on marketing analytics provide the organizations with an opportunity of staying at the forefront of the digital and data-driven market.