Artificial Intelligence (AI) along with machine learning and predictive analytics has become the way for intensive customer-centric data that can increase sales, generate leads, and enhance customer satisfaction.

Big data, as the name suggests has become a key driver for enterprises to enhance their sustainability in a competitive business world. Every day the data is multiplied to a bigger number. Hence more data is stored every day than ever before, the need for more efficient, effective, and precise processes has grown too. Having this huge data is useful for businesses to have predictive analytics. AI helps in segregating unstructured data; Predictive analytics is one such powerful process.

Predictive analytics is the process of using data mining, statistics, and modeling to make predictions. The software mines and analyses historical data patterns to predict future outcomes by extracting information from data sets.

Set of data that defines a range of parameters like the previous order history of a buyer, their interests, pages they view most, products that can benefit them, and products they might need along with their existing order the same as e-commerce sites do. It brings you insights and accelerates customer understanding.

According to Gartner Inc., predictive analytics describes any approach to data mining with four attributes:

1.         Emphasis on prediction

2.         The rapid analysis measured in hours or days

3.         An emphasis on the business relevance of the resulting insights

4.         A focus on ease of use, thus making the tools accessible to business users.

How Does AI &Predictive Analytics work?

When Predictive analytics is paired with computational power, helps businesses to identify their potential customers or probable responses by using personalized data collected over time.

Like we humans, many of the decisions are not based on logic. Emotions, trust, intuition, communication skills, inner satisfaction and culture play a crucial role in coaxing us to buy a certain product or make a particular decision.

Artificial intelligence algorithms are experts in integrating these key emotions and produce insights that make prospecting more effective for potential buyers.

Without the help of AI algorithms, all you will see is a cluster of complex data, rows after rows, mentioning product codes or names which will not only lead you anywhere but are also highly complex to understand.

For example, a popular combination of products bought together by consumers is product X and product Y, and 65% of people who bought this combination also purchased a product Z along with it. Now you can easily analyze the remaining 35% of the customers and suggest product Z. This way, you will be recommending your customers a valuable product that has been found useful and effective by other similar minded buyers as well. Isn’t it a magical marketing idea?

You can create a pattern by using AI algorithms that will segregate and form data sets based on multiple factors. It can be on the number of people who bought a certain product, a particular item that sold more in a season, a specific combination that is often preferred by consumers, their date of purchase, feedback, ratings, cost of the orders, and shipping preferences.

AI Takes Predictive Analytics to the Next Level

Predictive analytics is not confined to a particular niche; it can be used in a wide array of industries and verticals. Here are some of the major industries that are excelling through AI technology combined with predictive analysis to fuel their growth and enhance the customer experience.

1.    Social Media Analysis

Global Digital transformation has produced a fundamental change in how information is being produced, processed, stored, and used. Companies and marketers can now easily track user comments on social media, which enables them to gain immediate feedback and understand their customer’s perspectives about their brand. Twitter, LinkedIn, Facebook, Instagram, and Pinterest are some of the famous names.

It allows brands to innovate, create, and communicate their product in a much more effective manner. Also, one of the key drivers that is customer satisfaction has ramped up sales and generate leads, so if a happy customer leaves a good review on your brand’s social media platforms, it makes more people believe in your organization and gives extra credibility. It is also one of the less expensive media to reach maximum customers.

2. Weather Forecasting

Weather forecasting has improved greatly thanks to the advanced predictive analytics models. Today’s five-day weather forecast is as accurate as a one-day forecast in the 1980s. Governments and agencies have been able to warn citizens and take necessary steps in case of hurricanes, floods, and natural calamities by using predictive analytics.

Satellite monitoring is used to collect data about the land and atmosphere. This data is then fed into weather forecasting models that predict the weather changes in the coming days. Forecast as long as 9-10 days is easily possible now.

3. Healthcare

Google was one of the first companies to step foot in the healthcare domain using predictive analytics. The Google Flu Trends (GFT) analyzed anonymous, aggregated internet search activity to provide real-time estimates of influenza activity for a corresponding region to predict flu patterns. Though useful, the GFT provided overstated numbers, which led to less than ideal information.

Nonetheless, many organizations began carving their niche into the healthcare industry using predictive analytics. Online pharmacies are using AI combined with predictive analytics to understand and analyze their customers’ health issues, prescriptions, dosage, the amount of time before they need to repurchase their medicine, etc.

Conclusion:

To get the best results you need to create a strong analytical platform that is capable of carrying the necessary volume of data along with handling the diversity of each data set. The most successful companies use multiple data sources to collect information including structured, unstructured, text-based, machine, or IoT (Internet of Things) data.

The more data brands collect, the more they can analyses and process quickly, which means marketers are more likely to get actionable insights in a faster and efficient way. Marketers must look for a platform that allows you to easily store, modify, update, and process all kinds of large datasets that they might require in the future.

Read More


Everyone at all levels is in distress due to the novel coronavirus. No one ever expected such horrendous time. 2020 has become a bad year from its first day itself. Whether its business, work, education, life, it’s all shattered. We all are well aware of the velocity of the infection of Coronavirus. Before anything could have done it reached every corner of the world. Knockout by the Covid-19 Countries called for lock-down and by mid of March 2020 the lock-down was world-wide.

Along with physical health the traumatic situation has also impacted mental health. The record from the trusted source says there is an increase in domestic violence during Covid-19. People are advised to stay at home to avoid infection rates however the stress level of people has increased and hence the violence at home is the outcome in several places. Among many other reasons few important reasons are loss of employment, fall of revenue and the uncertainty in the global economy environment. It has become challenging for most businesses to keep their financial helms turning during the lockdown period due to less revenue and the uncertainty in the global financial environment.

Being a B2B business service provider we decided to help our clients and businesses to deal with the current COVID situation and also how to stay intact until a solution to the virus comes out.

First we need to make up our mind with the fact that, it not just we but the whole world is affected by the pandemic coronavirus, even our target market.

So how to deal with this situation?

Few sensitive matters are;

  • Have a look on your Business Model: The business model made need to be altered as per the demand of the current situation. The market is changing every day and its deteriorating. However with time it will be fine, till then you need to be more particular about revenue, cost, sales, collections etc. Also look after your bad debts and credit cycle.
  • Plan policies for the coming few months: The current situation will not change with immediate effect; it will take at least a year’s time or maybe more. Hence accordingly the policies should be planned in order of 3-6-9 months in advance. The variables need to be paused are hiring, marketing and travel.
  • Expenses vs. Revenue: It is of utmost importance for businesses to conduct a proper assessment of their fixed and variable expenses as well as the actual revenues. This strategy going to help even after the pandemic.

We will suggest some key point to remember and follow. It has been categorized in two major factors i.e.

  1. Managing Indoor
  2. Managing Outdoor

Managing Indoor: Employees, Owners, Board of Directors, Managers, and Investors etc. are the people of a Company/business to run the show. They are internal resources and the nature of the impact is direct. They serve the organization and are employed directly by the organization. Hence they are the primary responsibility of the company. Transparency is the best practice to have with all internal stakeholders during this crisis. Communicate with the contracted parties and look for legal immunities. Co-operate employees, even they are in stress due to the pandemic. Try keeping your team engaged.

Covid-19 and Business

Managing Outdoor: Suppliers, Customers, Creditors, Clients, Intermediaries, Competitors, Society, Government etc. are Outdoor stakeholders of an organization. We are all in this together, so stay transparent with your consumers about what your business is going through. Have formal communication with all the parties. Maintain a healthy relationship with all the stakeholders.

Conclusion:

In these difficult times as an organization it is important to stand united and help one. Stay safe and stay healthy. As per the earlier epidemics after the epidemic the goes the global economy gets well-shaped. So let’s hope for the best and keep you prepared.

If you want to explore more such articles and content, please click here

Read More


Big data is everywhere. Everyone is talking about this concept but very few could tell you how Big Data can help you do wonders in your business.

The fastest-growing economy of the world, evolving business world, and present-day innovation persuading everybody to develop their business in this quick-moving world.

We have entered the digital era and the big data analysis is the latest digital technology that has performed even incredible tasks in real-time. Big data science and analytics have changed the way of market strategies and covered altogether new paths for the growth and profit of the companies.

How big data is helping business?

How big data is helping business?

Data analytics has been in business decision-making for a long time. It has been prominent support in providing solutions for specific business problems across the sectors like Insurance, Telecom, FMCG, Retail, Banking, and financial services.

Big data analytics does not only form a high-speed secure solution but also builds a variety of structured and semi-structured sources of company and external data for multiple systemic uses.

Big data analysis originated from data science and it has mathematics, statistics, and many other scientific tools for the analysis of ever-increasing data. With the help of AI applications and machine learning, predictive analysis is done. These accurate predictions help in strengthening business growth very effectively.

While this data is mainly obtained from the internet, including social media, web searches, text messages, and media files, IoT devices are becoming an important source of data as well. By the end of 2020, it will grow to $56 billion as forecasted by the  Source

Graph Source: Wikibon; SiliconANGLE, Statista, 2019

Advantages of Big Data Analytics

Although organizations are still worried about the co-existence of their already existing Data and Business Intelligence Systems with the big data, yet the potential business benefits of big data to the organizations forced them to take the action.

Big Data Analytics allows the company to add a variety of data from different sources in real-time, it provides a company with a detailed record of the behavior of each client. This enables you to have more effective interactions with your clients to develop profitable connections with them in the future.

The big data science and analytics have three major advantages:

  1. production speed through distributed computing,
  2. altered to limits by almost adopting any data source
  3. ability to beat greater volumes of data

Some of the benefits of Big Data Analytics could include:

  • It can offer huge amounts of data from multiple sources that include external third-party sources, the internet, social media, those already stored in company databases, etc.
  • Real-time forecasting and monitoring of events that may affect business operations. This information will give a customized customer experience.
  • Big data can find, extract, change, analyze information, and blend data with different tools.
  • It identifies important information that can help in better decision-making.
  • It also can mitigate risks by optimizing complex decisions about unplanned events more quickly.
  • Identification of the causes of failures and problems in real-time.
  • Creation of offers to customers based on their purchasing habits that will improve the engagement and increase the client’s loyalty.

Impact of Big Data

We live in a world of technology where the computer and the internet have been one of the greatest inventions. With the increased use of phone apps, social media it is hard to keep any secret, people are willingly giving all their data without any hesitation. This data is collected, stored and used by organizations from different sectors.

Applications of Big Data in Real Time

Big Data makes a huge impact in sectors coupled with IoT (internet of things), healthcare industry, manufacturing, banking, financial services, entertainment, retail, and many more.

Big Data can help your company in five ways:

  • Making better business decisions
  • Understanding your customers
  • Delivering quicker services or products
  • Improving business processes
  • Generating an income

Every organization or industry, small or big, requires valuable data and insights. When it comes to knowing your target audience and customer’s choices, big data plays a very important role. It can help a business organization reach various goals.

In short, Big Data is making a huge impact and will continue to do so as a key driving factor in business performance in years to come. As the data develop day-by-day, it offers more unique ways for organizations to drive progressively customized and client-focused assistance while boosting income and effectiveness. In any case, these exceptional pieces of knowledge might be accessible to organizations that influence propelled data analysis.

As we enter the next period of big data evolution, keep an eye on these big data analytics trends and see how your organization manages the big data aspect.

At Accudb we provide Big Data Users Email database to know more you can reach us at info@accudb.com 

Read More


Email Marketing is a challenge for a marketer. The ROI of the company is directly connected to its marketing strategies. The traditional marketing deals with promotions, advertisements on different modes and media like Banner, Television, Radio, and Newspaper, etc.

Traditional marketing or offline marketing is expensive and time-consuming as it requires, planning, implementation, and various processes involved.

Now in the digital era, the marketing strategy has changed. Everything is available on digital media. There are so many kinds of digital marketing strategies and tools in different platforms and its growing in giant every second.

The best part of digital marketing is, it has got global reach, it is cost-effective, can be handled with less manpower and its time effective. You can reach lakhs in seconds that is the beauty of digital age or online marketing.

The business now is not only dependent on digital or traditional marketing. They are opting for both for maximum reach and success. In several methods or you can say strategies of marketing the very famous and all-time hit strategy is Email Marketing. Email Marketing is there for a decade. We cannot deny the success of an email marketing strategy in B2B and B2C marketing.

Though in between it lost its charm (due to hike of Social Media Platform), it has never lost its usability. Even now big businesses use Email Marketing as their marketing tool, and it works fine. Every marketer wants their email marketing channels to achieve their full potential. Hence, the responsibility of an Email Marketer is to plan it strategically and symmetrically.

There are challenges in Email Marketing in the coming time, but if it is planned and executed properly, it can be a great success. However, the email marketing campaign should be targeted rightly.

You can read about email marketing in a better way in our previous articles titled Guidelines for Effective Email Marketing, How to Generate Immediate ROI with Email Marketing?, How to reach potential customers through email marketing?

AccuDB researched hundreds of marketers’ daily challenges that they are facing in email marketing campaigns. Hence, accordingly, this article has been drafted for the seekers to help.

As an industry, it appears that we’re not facing one or two common email marketing challenges, but rather struggling against a host of problems. However, we have tried to locate some solutions to these problems. Let’s discuss them one by one;

Email Marketing Challenges

1. LACK OF COORDINATION AMONG DEPARTMENTS AND CHANNELS

Your customer is not only connected to any particular department. Once the customer journey starts, the customer is channelized with different departments. So brands have to be omnichannel. The flow of information should be channelized.

“Every interaction your customer has with your brand—through email, but also any other customer touchpoint—will impact the success of your email marketing program because it will impact customer satisfaction and brand perception,”

“For example, half (50%) of satisfied customers often or always subscribe to a company’s email list, but less than a quarter (23%) of unsatisfied customers subscribe to a company’s email.”

“For instance, 41% of consumers say they’ve unsubscribed from the brand’s emails because of a poor customer service experience, and 40% have because the brand’s mobile app didn’t work well. Those same pain points also drove spam complaints.

To achieve seamless customer experience, having integrated marketing communications is essential,” says Jill LeMaire Redo, VP of Digital Strategy and Insights at Epsilon.

2. CHOOSING RIGHT EMAIL SERVICE PROVIDER

Marketers have hundreds of options in choosing an email marketer for their target. Some specialize in particular industry verticals, some in email functionality and others on sales-assisted messaging.

You need to see your objective and budget to decide the right email service provider for your business. You may opt for two or more email service providers, the majority of the marketers try with this strategy.

3. CHALLENGE OF GETTING DATABASE

This is where most of the marketers fail. Reaching out to the right client/customer is a challenge. Targeting the wrong crowd could be dangerous. Spamming affects branding. Therefore, getting the right customer database is very important.

The database of the customer should be verified, responsive and targeted. The database or the email list of your clients must match with your product/service, can say to your business goal.

Henceforth, you need to choose the right email database/email list provider for your email marketing goal. Otherwise, you may end up with spamming. There are many email list providers; however, you need to opt for the right one.

4. LACK OF QUALITY DATA, INTEGRATION

“Data integration is already a huge challenge for email marketers, but in the next few years it is going to become the issue that separates world-class marketing organizations from the rest of the pack,” says Loren McDonald, Marketing Evangelist at IBM Watson Marketing.

“As we move increasingly toward leveraging machine learning and AI for analytics, segmentation, content, testing and other email marketing processes and activities, data is everything,” he says.

The email marketing organizations that are failing to maintain the data quality and integration will be left behind competitors who are masters. Hence, Marketers need to look after the data quality, integration to set a perfect campaign.

5. INADEQUATE TOOLS FOR EMAIL TEMPLATE

Making of Email Template is complicated and there are many spots where things can break down. But now we can’t say this since there are several tools and software available to assist us in making a well-built email template/design.

It’s easy to see programs not having enough time for A/B testing, using dynamic content, and creating animated GIFs. Mailchimp, Befree are some of the leading platforms available where you can make a nice email design for your campaign.

6. POORLY MADE EMAIL CHANNEL GOALS AND KPIs

What’s worse than not hitting your goals? Hitting your goals but not achieving success because you set the wrong goals and set the wrong key performance indicators.

Each level of metrics is important and serves different purposes. But if all of your KPIs are campaign metrics, then it’s time to up-level your goals to align them with channel health and business success.

7. LOW VISIBILITY INTO EMAIL PERFORMANCE, DELIVERABILITY, ETC.

Checking out the metrics is very important when you run an email marketing campaign. The metrics will help you in planning further goals and it gave an insight.

Email Marketing Challenges

Hence a marketer needs to have an eye on the metrics.

CONCLUSION

Poor leadership gives rise to poor coordination across channels and departments. Likewise, low visibility into email performance can lead to poorly defined channel goals. Limitations of an ESP (Email Service Provider) can cause poor integration, and it continues.

While we certainly hope you only have one major issue holding your program back, chances are that you have multiple email marketing challenges to overcome. Try to address the most foundational one first, and do so in incremental steps.

For assistance and free sample contact us at info@accudb.com

 

 

 

Read More