The customer experience landscape has changed drastically. You cannot satisfy your customers with just traditional marketing elements. People don’t simply need personalization; they need it.  Large volumes of data are created and scattered across all these channels. How do you analyze every data?  You need to have a single view of your customers; this view […]

The ever-illustrious pace of the contemporary business scenario embraces immense volumes of data that come from sources and engagements of organizations. Increasingly, such organizations are seeking to understand these complexities and convert them into actionable insights to transform BI with an improved capability through the incorporation of artificial intelligence (AI). This is not only a fad but […]

How To Grow Your Business Using A CDP If you’re a B2C company or even in the B2B space, and are looking to take your business to the next level, consider using a customer data platform (CDP). It is a sophisticated piece of software that helps you collect, manage, and utilize customer related data to improve […]

[vc_row][vc_column][vc_column_text css=””]How can you make complex data easier to understand? Visual elements are often more intuitive than intricate numeric values. Yes, extensive data-gathering allows for more reliable problem analysis. However, the data visualization approach is the most effective way to gather the data and highlight trends. So, enterprises, SMEs, educational institutions, and regulatory bodies must […]

[vc_row][vc_column][vc_column_text css=””]Overview The RFM (Recency, Frequency, Monetary) analysis is a powerful tool for understanding customer behavior and segmenting customers based on their purchasing patterns. [ez-toc] It is based on three key metrics: Recency: How recently a customer made a purchase Frequency: How often a customer makes purchases Monetary: How much money a customer spends on […]

Express Analytics has joined  NVIDIA Inception, a program that nurtures startups revolutionizing industries with technological advancements. Express Analytics is focused on helping marketing leaders maximize the returns on their marketing investments (ROMI) with the power of AI. We specialize in Data quality and cleansing, segmentation, marketing attribution, CLTV, marketing mix modeling, and much more. We […]

In recent years, the retail sector has seen instabilities, but it has showcased a good future, considering the rapid development in the domain of generative AI.   Artificial intelligence applications have recently become a staple part of this transformation from personalized recommendations to demand forecasting. The greatest breakthrough related to generative AI services has been in […]

[vc_row][vc_column][vc_column_text]The ever-illustrious pace of the contemporary business scenario embraces immense volumes of data that come from sources and engagements of organizations. Increasingly, such organizations are seeking to understand these complexities and convert them into actionable insights to transform BI with an improved capability through the incorporation of artificial intelligence (AI). This is not only a […]

[vc_row][vc_column][vc_column_text]According to Mr. Salome Guchu, “The shortage of good data is a crucial barrier to progress”.  In a world ruled by artificial intelligence and data, generative AI has become the latest trend across numerous industries. At the core of generative AI lies LLMs (large language models), which have grabbed attention along with their barriers and […]

The customer experience landscape has changed drastically. You cannot satisfy your customers with just traditional marketing elements. People don’t simply need personalization; they need it.  Large volumes of data are created and scattered across all these channels. How do you analyze every data?  You need to have a single view of your customers; this view […]

A Forbes report states that 80-85% of enterprise businesses are investing in AI solutions at present. AI is a machine’s capability to replicate intelligent human characteristics by taking a set of entries into account and processing that data to deliver preferred results. With technological improvements in machine learning, organizations can build customer risk profiling models […]

Today, almost all businesses depend on data to present them clearly, and it is possible only when they implement the right tools for analyzing data. In the world of changing data visualization patterns, generative AI has become familiar.  The ultimate objective of visual data analysis with generative AI is to convert raw data into meaningful […]

AI has wrapped up traditional business methodologies and created a road map where success meets analytics. This technology is refurbishing the business with its high-powered, laser-accurate data. The article aims at providing valuable insights on the capabilities of AI technology in the changing business landscape, where it is effectively working on safeguarding your solutions from […]

The publicity for Gen AI has settled as organizations have begun to lay the groundwork for seamless adoption. According to the research company Gartner’s May 2024 report, 45% of 2,500 professionals said that the popularity of ChatGPT forced them to invest a lot in AI, 19% said their business is in production mode, and 70% […]

Today, you live in the era of automation, artificial intelligence, and the rise of complicated digitization.  The rapid advancement of smart technologies appears to have been going faster as the years go by. Businesses across the US and around the globe have benefitted dearly from this accelerated technological progress by implementing it throughout their operations […]

Creating relevant and engaging content by keeping marketing goals and the audience’s needs in mind is not an easy job.  Moreover, preparing a content strategy and sticking to a regular publishing schedule can be challenging for businesses with limited resources and time. Artificial intelligence steps in this case as it uses natural language processing to […]

The fields of data processing and collection have gone through a major resurgence in the past 10 years. Analysts have access to more data than ever before. However, this means that the issue of poor data quality has never been more problematic. As per a survey conducted by Statista, 46% of Chief Procurement Officers interviewed […]

Marketing is the major region of business operations where it is said that artificial intelligence is expected to bring crucial change. According to McKinsey, in addition to sales, it is another business department where it will have a major financial impact. As for email marketing, 58% of marketers state that AI is benefiting their marketing […]

The best way to turn your audiences into loyal and valued customers is approaching them at the valid time, at the valid place, with the valid and relevant message. Still many marketing-led businesses don’t have access to complete data to support this fundamental concept in deciding when and how to activate touch points of customers. […]

Marketers spend much time understanding how to use visual media to enjoy the benefits provided by visual marketing. They have to set up a suitable ML solution to solve their marketing problems.  AI and ML technologies can offer a regularly updated view of the present needs of web users, looking at actions taken by them […]

The use of AI in business analytics has allowed modern automation in the process of data discovery. The outcome is AI analytics that does the data analyst’s task without the same human constraints.  Recently, AI-driven analytics has developed fast, powered by advancements in AI technologies including machine learning and natural language processing. OpenAI, a top […]

Nowadays, almost all businesses use generative AI and large language models after realizing their ability to boost accuracy in various tasks. With the innovations in artificial intelligence, the two terms large language models and generative AI are used interchangeably. However, even though they offer multiple opportunities for business productivity, they require human intervention to edit […]

Earthweb’s major data creation statistics reports for 2022 state that the daily generation of data is limited to 2.5 quintillion bytes. With the development of huge amounts of data, crucial information can be accessed by many users and let them make informed decisions.  Hence, it is said that data is an integral element of almost […]

In today’s digital era, the success of a brand is defined by interactions with customers. It has become a major challenge for marketers. Despite its speedy growth, it is surrounded by lost profits, wasted budgets, and poor targeting and monitoring of the operators in the ecosystem. According to studies, approx. 2% to 4% of the […]

In recent years, data analytics has seen exponential growth across multiple industries. The consumer goods and retail industries are among them. The implementation of data analytics in this industry is transforming the way product manufacturers operate, allowing them to make operational business decisions by looking at data-enabled insights.  Compared to different industries, the consumer goods […]

Today, the web generates millions of orders in the multichannel commerce background. Usually these orders don’t have source codes. An increasing number of catalogers are noticing the importance of matchback analysis to know response to their mailings. However, the fact is that most direct marketers are unaware of its importance. Matchbaccks include matching your order […]

In today’s digital world, data is playing a crucial role in making decisions in different sectors. One such industry that has benefited from the use of data analytics is the food and beverage industry due to the huge demand in modern society.  The food and beverage sector has undergone many changes, and as a result, […]

Recruitment has become one of the toughest, most challenging, and most time-consuming functions of HR (human resources). Finding the suitable talent for the appropriate position at the right time is very important for the success and growth of any organization.  Especially in MNCs, the challenges related to streamlining the whole talent acquisition process carefully while […]

Customer Intelligence (CI) is a crucial aspect of generating sales. Without it, it’s difficult to understand the expectations of customers from your brand and which message will force them to make decisions. Fortunately, it doesn’t have to be challenging to acquire customer intelligence. In this blog, let’s explore how businesses are leveraging customer intelligence for […]

As a business professional, you are probably responsible for making many important decisions, whether it be something as simple as drafting a social media post for the company account or coordinating the arrival of a revolutionary product to market. But with the burden of this many decisions, how do you know if you are making […]

In 2023, the international business intelligence market size is aimed to register a value of US $28,216.8 million. It is aimed at growing to $56,200.9 million by 2023.  The market value of mobile BI is predicted to reach a CAGR of 22.43% between the forecast period of 2021 and 2026. [ez-toc] Business Intelligence Definition Business […]

With the introduction of ChatGPT-3 and DALL-E2, the majority of investors started showing interest in businesses building generative AI. Moreover, the fact is generative AI is not enough to reach the needs of the AI revolution. The success of predictive models is relevant to the science fiction future that the majority of the customers want […]

Data analytics has been transforming different sectors for many years, and the QSR (Quick Service Restaurant) sector is one of them. There is an increase in demand for Quick Service Restaurants (QSRs) with the change in consumption patterns, hectic schedules of people, and expansion of eCommerce channels in the market. By keeping the needs of […]

Latest surveys report that the use of predictive analytics in marketing has increased after realizing its importance at the business level. Organizations looking to stay in a dynamic world use data analysis to predict upcoming shifts. Despite being predominantly used, there is a threat that it can become burdensome for users.  The worldwide market for […]

Both eCommerce and retail companies struggle to track changes in customers’ preferences and constantly update themselves to serve accurate recommendations. The solution to such a problem is the use of AI-driven product recommendation engines. Both retail and eCommerce businesses adopt ML-based personalized product recommendations to select items to be displayed across the web or social […]

Voice of customer data is all audience feedback that is collected by an organization from its audiences via reviews, survey forms, and social media comments to realize brand reputation and sentiment.  These insights can significantly impact marketing efforts, product roadmaps, and sales strategies. VoC (voice of customer) data offers retail businesses a clear analysis of […]

According to Accenture’s report, today, 87% of businesses concur that traditional experiences won’t meet the demands and expectations of consumers. With the segmentation technology, it’s very easy to understand clients on a deeper level. It plays a key role in the success of marketing campaigns. Grouping audiences into smaller segments based on their interests, actions, […]

Today’s marketers have to thread the needle between providing customers an experience that is both personalized, without overstepping into uncanny levels of insight. This means you need a fresh approach to provide a unified customer experience. Speaking in marketing terms, this means a “360-degree view” of the customer, as it underpins how your brand interacts […]

The biggest challenge for marketers is to achieve sustainable business growth despite high customer churn rates. While businesses are always interested in increasing the number of potential customers and converting them into paying customers for business growth, they have to strengthen their relationships with present customers to stay ahead of the competition.   The main objective […]

Time series analysis produces a series of information in a specific sequence, so it is not the same as other analyses. The added advantage of such analysis is that it takes responsibility for a smoother data-cleaning process in a business. Time series Analysis is an important and valuable source of information for a wide range […]

Businesses invest a lot in numerous customer acquisition and retention strategies to gain fresh customers and see stable financial growth. However, customer acquisition vs customer retention – which one is more important? This question is unjustifiable, as both are equally important to the growth and viability of an enterprise. Moreover, many companies spend more time […]

As part of our new series – Express Analytics Leadership Forum – we spoke to Manoj Gupta, well-known digital marketer and author of a book on the customer data platform, and asked him to share his experience of working with a CDP.

How to Create An Agile Personalized Customer Experience In the digital age we live in, Customer Experience (CX) has become the key differentiator between a successful business and otherwise. Helping businesses in the process of providing a personalized customer experience is big data. Making your customers feel special and providing them a personal touch throughout […]

Customer data platforms are a hot topic in the marketing world right now. Many companies are looking to implement CDPs in order to better understand their customers and create more targeted marketing campaigns. In this article, we roll out a roadmap for achieving CDP success in enhancing customer experiences.

With more and more businesses starting to rely on data, it’s become imperative that the quality of data is high. One way to assess the quality of your data is through data maturity assessment.

Data Processing: Steps, Types and More In part 1 of this blog post, we discussed data preprocessing in machine learning and how to do it. That post will help you understand that preprocessing is part of the larger data processing technique; and is one of the first steps from collection of data to its analysis. […]

While analyzing data, you must ensure that it has no errors. Mistakes give a false impression of the overall statistics of the data. To cut down errors, you need to prepare your data. Here’s how.

ETL is an integral part of data warehousing. In addition to being complex, it can also be time-consuming. In recent years, reverse ETL has grown in popularity because it is simpler and faster to complete than traditional ETL.

Are you struggling with identity resolution in your business? Learn about the common mistakes that marketers make and how to avoid them!

With the voluminous inflow of big data in every enterprise today, data chaos is a reality. Managing data is a must requirement.

The advent of standalone digital channels today has made Web Analytics a more all-encompassing term than SEO Analytics which focuses solely on search engine optimization.

Geospatial data can enhance a business’ data assets and provide more valuable insights. Incorporating geographic information into performance analysis can bring to light new insights.

How to Detect Outliers in Data Wrangling: Examples and Use Cases Outliers is the term that strikes your mind whenever you speak about analyzing data. If you are planning to inspect any task to examine data sets, you can make assumptions about the methods used to produce the data. If you come across a few […]

A Net Promoter Score is a key metric to measure what your customers think of your brand. There are many ways to improve this score.

Propensity modeling is a statistical technique used to predict future events. Machine learning allows companies to build robust propensity models and make accurate forecasts. In marketing, for example, propensity models are used to predict customer behavior.

Analyzing data graphs can help you discover hidden patterns and relationships. Making better business decisions and improving performance are possible when your data is interconnected.

To run a profitable business, you need to know your customers. For which, you need to first segment them. Segmentation can be done in a number of ways, but one of the most effective one is RFM analysis. RFM stands for the Recency, Frequency, and Monetary value.

Data is used to teach computers how to learn through machine learning, which is a subset of artificial intelligence. In automated machine learning, the entire process of applying machine learning to real-world problems is automated.

A data fabric is a type of data architecture that allows for the integration of data from multiple sources. It is designed to provide a single, unified view of an organization’s data.

Named Entity Recognition (NER) is a field of computer science and natural language processing that deals with the identification and classification of named entities in text. The aim is to automatically extract information from unstructured text such as people’s names, of organizations, locations, and so on.

Customer Analytics: How to Use It to Unlock Business Growth What is Customer Analytics?  Customer analytics is the powerful and clear investigation of customer information, and behavior with the objective to find out, attract and reach the relevant or suitable prospect. It uses raw data to identify and understand customers’ needs and satisfaction.   One main […]

What if you knew how to sell more for less? We can help you. Marketing Mix Modeling is the secret to your marketing success.

Is your business stagnating? Are your marketing dollars not really giving the expected results? Is your marketing not aware which channels are drawing in the most customers? Then, this is the right time for you to implement mutli-touch attribution modeling.

Consider implementing a customer data platform for your business if you want to take it to the next level. You can use a CDP to collect, manage, and use customer-related data to improve your marketing and sales efforts.

A major challenge facing organizations today is data quality. As data evolves, it becomes more complex and more fragmented. The result is that data can be difficult to understand and use, which can result in inaccurate or incomplete information. Data mesh can help address this issue by creating a network of data sources.

Clienteling is the process of building relationships with your clients to better understand their needs and provide them with personalized service. In a world where online shopping is becoming increasingly popular, clienteling can help you stand out from the competition and build a loyal customer base.

It is helpful to understand the in-store shopping and demand of customers with point of sales systems. However, limiting analysis to on-site behavior is only half the picture. Identifying customer expectations and aligning them with marketing is crucial in understanding customer digital activity before the site visit.

POS terminals aren’t just simple tills. They now have the power of a powerful device at the retailer’s disposal. The information they collect can be analyzed by retailers to improve customer experiences, anticipate demand, and optimize stock levels.

In a rapidly changing business environment, accurate and timely data are more important than ever. Business intelligence practices of the past are not sufficient in the modern era. Human wisdom combined with artificial intelligence is the basis of augmented analytics, a new approach that provides insights previously unattainable.

Whenever a business employs data analytics to make decisions, the process of data ingestion is crucial. The lack of data prevents businesses from understanding their customers, improving their products, or making informed decisions about how to run their businesses. For analysis, data ingestion involves collecting, cleaning, and storing data. Data ingestion is a complex process that requires careful planning and execution.

A powerful tool that helps businesses make better decisions, stream analytics analyzes data in real time – identifying trends and patterns that may otherwise be missed. By automating decisions and reducing the need for manual data entry and analysis, it can also save businesses time and money.

Businesses can use risk prediction models to assess the risk of specific events occurring. They are primarily used in the insurance and healthcare industries, but they are also applicable to other industries. Businesses can use risk prediction models to evaluate past data as well as future trends, making them an excellent tool for understanding and managing risks.

The world of business today revolves around data. While collecting synthetic data can be time-consuming and expensive, it can provide a cost-effective and efficient solution. The use of synthetic data is often a better option than collecting real data, since it can be used to test new products, validate models, and train artificial intelligence systems.

The concept of real-time data analysis may sound intimidating to teams used to more traditional compliance environments. Analytics based on real-time data has traditionally been seen as more complex and advanced than the previous compliant model. However, new technological advances in risk management have allowed compliance functions to become as nimble and sophisticated as financial markets themselves. To gain a competitive advantage, finance teams must use real-time data analysis.

More and more businesses are buying a customer data platform but it’s after purchase that many realize that a CDP poses certain operational challenges; indeed, sometimes understanding how it works itself can pose to be quite a hurdle. This is where a customer data platform consultant can help you get the most out of your CDP, helping you use it to its optimum.

The deployment of composable data and analytics is the new trend today. It is a process that allows organizations to combine and use analytics capabilities from multiple data sources across the enterprise to make more informed, intelligent and, most importantly, faster decisions.

It is often helpful to review the sentiments of your consumers when analyzing a business. Analyzing buyer sentiments is to ensure that the perceptions others have of your brand are the same as the ones you believe they should be. Any industry can use sentiment analysis, including finance, retail, hospitality, and technology, using either the available tools or developing it in-house.

Express Analytics launched an Analytical Customer Data Platform at eTail West 2022 to address the need of retailers

Understanding and knowing what your business needs means knowing your customer lifetime value. Knowing more about it will enable you to plan for growth. Start by measuring and defining this value as early as possible in your business. In one sentence, customer lifetime value (CLV) refers to the total amount of money a customer will spend with your business if they continue to buy from you on an ongoing basis.

Customer service is one area where artificial intelligence (AI) can be utilized to the utmost. Businesses that value customer service should integrate AI into their strategies to make customer service better. Tools like these can be found online and can be used to facilitate customer interaction while the buyers browse websites, make purchases, and communicate with businesses via social media platforms.

[vc_row][vc_column][vc_column_text] Introduction Of Oyster CDP (Customer Data Platform) Oyster is an artificial intelligence/machine learning-powered analytic customer data platform (CDP) and digital marketing analytics platform offered by Express Analytics that provides intelligent prescriptions that go beyond traditional CDP to help brands attain exceptional returns on investment (RoI) — from profitable acquisition to predictable retention.  Oyster is […]

Customer Lifetime Value (CLV) is a system of metrics used to determine how valuable a customer is to a business over the course of their relationship. CLV can be captured by three major metrics, each of which is vital to creating a value profile.

Marketing Mix Modeling is a technique for estimating the effects of marketing variables on customer behavior based on mathematical and statistical techniques. The Marketing Measurement Model analyzes the past and predicts the future implications of marketing decisions using statistical and analytical tools.

There’s a new buzzword in town, one that made it to the Gartner’s list of key trends, too. Called XOps, it’s roots lie in Development and Operations (DevOps). While DevOps falls short of achieving full automation, XOps, an umbrella term is used for a combination of IT tech. The ability to relate to customers in multiple segments is crucial for maximizing customer benefits. By analyzing data sets of similar customers, a class of artificial intelligence called machine learning can determine the most valuable customer segments. By using machine learning, customers can be segmented automatically since manual segmentation can take months or years.

Increasingly, businesses are realizing that real-time marketing analytics are a must-have in the world of digital marketing. Companies can make better decisions about where to allocate resources and how to adjust their marketing strategies on the fly when they track and analyze data in real time

Data discovery is an important part of the data landscape and understanding your company’s data is crucial for progress and innovation. In this, data discovery is an important step. Read more on data discovery.

Data discovery is an important part of the data landscape and understanding your company’s data is crucial for progress and innovation. In this, data discovery is an important step. Read more on data discovery.

What will data analytics look like in 2022? What predictions and trends can we expect in data analytics? Our data scientists analyzed the patterns, and this is what they forecast for the new year (in no particular order).

The world is marching towards an era where there shall beno more 3rd-party cookies. In such a world, a customer data platform will play an even more critical role in tracking a customer’s journey. The right CDP should be able to aggregate and utilize both first and zero-party data to create real-time, personalized profiles of your customers and prospects, enabling your business to meet them where and when they (customers) want to be met.

Successful businesses have increased, and more and more operations are becoming both intelligent and efficient. Businesses are increasingly able to use data to make effective and practical decisions. Event-driven analytics can improve efficiency for businesses. This form of analytics is used to detect financial frauds, to halt zero-day attack, and to track the movement of stocks.

Is there a way of knowing when a commodity’s price has increased? Yes, one can compare the price of a commodity over a period of time. In time series, observations are arranged according to successive periods. A time series is an arrangement of data according to their time of occurrence. Using time as a reference point here is a way of relating the whole phenomenon to appropriate points in time, where time is measured in days, months, or even years.

For businesses, high churn rates and retaining customers are huge challenges. Churn can be reduced by identifying and addressing the reasons customers leave. Another strategy is to work with customers who are about to leave to understand why, and so be proactive in reducing churn. As part of this post, we examine the causes of high churn as well as strategies available for dealing with it.

The attribution model identifies how credit is assigned to touchpoints within the customer journey that lead to conversions for sales and conversions. In data analytics, for instance, the last interaction model gives 100% credit to the last touch points. immediately before a sale. By contrast, first interaction models give 100% credit to touchpoints that lead to conversions. The benefits of marketing attribution includes optimized marketing spend, increased personalization and improved RoI.

Taking a systematic approach to analytics is one of the most important skills any large business should develop. Making the right decisions can be challenging for businessmen, especially if there is limited data available to support the decision. But there are technologies, tools, and techniques that can assist in this process. By analyzing historical data and aggregating it, predictive analytics can forecast future outcomes. It is often referred to as the “proactive component” of data analytics. Nevertheless, there is another technique that is being adopted nowadays by businesses as part of their decision-making process, and that is prescriptive analytics. It provides recommendations or insights that will allow business leaders to make better, quicker decisions in order to maximize the value of their data.

Raw data needs to be processed and presented in order to make use of the data. The collected information is stored in databases, but it must be processed to extract its value. Data reporting, not to be confused with data analytics, involves the use of various tools to define and store data, as well as the monitoring of trends, the collection process, and overall performance.

A customer journey map can help you create a better customer experience. Such a map focuses on the customer’s needs rather than your product. It assists customers in understanding their buying journey through a series of interactive tools.

The writing is on the wall. The 3rd-party cookie will be discarded eventually due to the growing pressures to maintain an individual’s privacy. You might as well start considering alternatives if your advertising and marketing strategies rely on such cookies. Alternatives are being explored by Google and the industry. In the meantime, the best thing you can do is to monitor the market to see what happens.

In this post, we will discuss how you can use data-based insights from a CDP to boost business growth, improve operations, generate new revenue, improve customer relationships, and enhance product development.

The power of data analytics has enabled some businesses to predict consumer behavior by analyzing past purchases, search histories, and social media profiles. Businesses that are able to predict customer behavior accurately will have an advantage over their competitors.