data Enrichment

Driving Sales With Data Enrichment Services

Data is one of the most common buzzwords of the 21st century. A report from 2020 Experian about data management shows 85% of the organization recognize data as one the most valuable assets to their business. So here pops up a million-dollar question how about data hygiene if data is your asset. Data hygiene is one the oldest yet important parts of maintaining a strong database. This is where data enrichment comes in.

What Is Data Enrichment?

The process of improving the accuracy & the reliability of your raw lead & customer data by adding extra information from the verified sources is often referred to as data enrichment. Alternatively, data enrichment can also refer to data appending.

This service ensures your data is accurately representing the audience & you get the full picture of the data collected. Accurate & reliable data plays a key role for B2B salespeople. It helps the salesperson to understand better of what customer wants vs. their needs.  Data is the lifeblood of salespeople & they strongly believe quality issues may impact customer trust & perception.

In order to improve the trust, B2B marketers can use enriched data to create targeted & personalized experiences.  Have you ever wondered why personalization is important & how it plays a key role?  

Here is some notable research from HubSpot shows 91% of the consumers prefer to shop for brands that provide strong recommendation & offers
80% of the consumers want brands to provide a personalized experience.

Hope now universally accepted that data enrichment makes you & your customer life better. Wondering how data enrichment works & makes your life easier? The Answer is simple Data.  Data has a superpower because of its reusability. Generate new business insight to release business products & services to improve customer relationships. And more importantly, data enrichment works well in all contexts when your company evolves.

Types of Data Enrichment

Types of data enrichment vary by volume of data sources collected & they are behavioral, Demographic & Geographic. Each type of data enrichment helps the company meet the growing needs of different business goals.  Though all data enrichment services are discussed here, before selecting the right data enrichment technique, decide what kind of information you need for business.

Behavioural Data Enrichment

Adding customer behavioral patterns to the user profile is often referred to as enriching behavioral data. Collecting behavioral patterns helps users B2B marketers identify the area of interest as well as the prospect buying journey of customers.  This helps to determine the effectiveness of the B2B marketing campaign & the marketing budgets for each campaign. It involves identifying &monitoring the user buying pattern & understanding each interest of the customer.

Geographic Data Enrichment:

The method of adding geographic data to the customer profile such as including postal code, mapping insights & more is often referred to as Geographic data enrichment. Such information is highly useful in determining & advertising the new store locations. Hence it is mostly recommended for location-based targeted marketing.

Demographic Data Enrichment:

Adding pieces of information like marital status, family size, income level, credit rating & more to customer profile is referred to as Demographic data enrichment. Collecting & analyzing such information improves your personalization & targeting criteria type.

How Data Enrichment Can Be Achieved?

As discussed earlier data enrichment is the process of combining one or more data sets that are collected from various sources. First & foremost standardize all merged data to fit the quality standards. By establishing data quality standards, you must be refined, improve & enhance data grouping techniques. Enriched data give you more knowledge about your business, customers & improves your brand identity.

Companies that understand the values of the data enrichment equip their teams with valuable demographics, geographic and attitudinal customer information.

There are several ways in data enrichment that can drive high sales. They are discussed below:

Construction Of Customer Profiles:

Business requires accurate insights to target audience through their preferred mode of communication which motivates the audience to stay close with the brand. Enhanced data allow B2B marketers to segment details based on the sales funnel.  Data enrichment can facilitate the enhanced understanding of customers for a more personalized customer experience. Based on the detailed information about datasets, enrichment data allows your business to create more personalized communication on individual customer data.

Personalization:

A personalized experience is highly recommended for any business as they can provide fostering meaning & long-term customer relationship which is a key success for the business. And customer profile personalization has a direct positive impact on a company’s sales & revenue.

With enriched data, you can grow the target audience grows exponentially. This process gives all information to generate hyper-targeted customer segments. B2B marketers provide the right customer journey to the right company which improves customer interaction. Gone are the days, where contacts first name or last name is enough. But now your communication should provide prospects firmographics, technographics & other information which can segment the prospect accordingly.

Improving The Overall Customer Experience:

The ultimate aim of any data enrichment is to improve your customer experience by engaging with companies. Enriched data give more accuracy in insights & conclusions for the business with the existing business. This enables marketers to upsell & cross-sell opportunities which grow the B2B database effectively. Data enrichment gives a crystal clear picture for B2B marketers to collaborate with clients effectively.

Enhanced Segmentation:

With the ever-growing data, you can more accurately segment your audience & B2B database. Segmentation can be based on small & large scale determiners as it helps you to categorize the small, mid & individual business owners effectively. This segmentation knowledge helps B2B marketers to develop more effective & targeted B2B marketing campaigns. With accumulated data, you can reveal new data patterns & business opportunities that come your way.

Smart & Advanced Lead Scoring System:

Data enrichment plays a crucial role in determining the automatic lead scoring for prioritizing & processing real-time customer data. If a lead enters your system with basic information, with the process of nurturing & lead scoring technique lead will be assigned a low score. But with a real lead enrichment process in place, a lead scoring system can reprioritize your lead scoring. This enables B2B marketers to research & identify the high intent for buying your products.

Enabling Machine Learning Technology:

With the power-packed artificial intelligence & machine learning support, it is a boon for B2B sales & marketing professionals to offer a personalized experience. Chatbots are one of the best examples. They play a key role in gathering customer data through effective conservation & virtual humanoid. All these collected data can be enriched with existing information from your CRM or robust sales intelligence tool as it helps in getting the right insights for a personalized B2B experience.

Improved Data Quality:

As we all know redundant & inaccurate data spoils the essence of targeted marketing & provides inappropriate insights which cost companies significantly. If a business operates with such redundant data, they are unable to decide what to remove. With the proper data enrichment service, you can eliminate redundant & inaccurate data for analyzing information, combining boundaries & correcting errors. This quality also enhances the quality of company data maintained so far & levels up the information.

Improved Cost Saving & Sales:

The ultimate aim of any data enrichment service is to reduce cost & optimize sales. Strict protocols of data enrichment help to ensure no database storage is wasted in storing inaccurate or redundant data. Alternatively, it also reduces cost by minimizing penalties that raises because of data compliance. With proper & reliable customer data, meaningful customer relationships can be determined.  This helps in identifying cross-selling & upselling opportunities highly recommended for any business.

Stay Top Of The Trends:

Having a crystal clear idea & awareness about consumer trends, economic behaviors & buying behaviors can put you ahead of your competitors. With such useful information as a B2B market, you can predict the direction of your industry is heading. This also helps the business intelligence team to plan their future innovation based on the rising demands of the evolving customers. If the future is bleak, then with these insights, you can move the industry in a different direction. Simple collected & well-segmented data give you a big picture of where your business is heading.

Improves Forecasting:

Predicted analytics is a buzz in recent times.  Based on the historical data, predictive analytics can use AI & machine learning algorithms to predict the best possible outcome for the future. Make better-informed marketing strategies with a detailed business plan that can enhance your lead conversion & subsequent sales generation.

Conclusion:

The use of high-quality data provides real-time metrics which directly shoot up sales. Also, it improves customer engagement opportunities any business requires with the help of well-segmented consumer data. The key takeaway is how to strategize & utilize high-quality data to drive high sales. Collaborate with the Logichannel team for any data enrichment assistance & improve your standards.

data Quality

Significance of Data Quality in B2B Industry

In the world of B2B marketing, generating the right leads is an essential aspect because these leads will be converted into loyal customers. Of course, you have a variety of lead generation examples and best practices to pick from. In B2B lead generation, however, data quality is very important. As a result, the quality of data collected, stored, and consumed is becoming more significant. We’ve all witnessed the negative impact of poor data can have on a company and are familiar with the frequent consequences of incorrect data, but how much does it truly cost?

According to Gartner’s research, the majority of companies believe that poor data quality costs them an average of $15 million every year. While those of us who work with data on a daily basis are aware that incorrect data is costly, this number is surprising.

“Without Data, you’re just another person with an opinion.” – said W. Edwards Demming

Let’s See The Role and Significance of Data Quality in B2B Industry

Quality Data Improves Decision Making

The quality of data determines how useful it is. Even minor quality variations can lead to poor business decisions, which can cost a company hundreds of thousands of dollars. The higher the data quality, the more confident the team working with it will be in the results it generates, minimizing risk and boosting efficiency. The value of data in decision-making is in its consistency and increase. It enables businesses to discover new business possibilities, increase revenue, forecast future trends, improve present operational efforts, and more.

With the help of B2B data providers, nowadays most of the key decision-makers can be able to make better-informed choices than in the past by structuring and filtering the data which was collected by an organization. Today, most of the top companies around the world use data to make decisions about their business. When better decisions are made, businesses can reap benefits that extend beyond the expected margin.

Improves Business Processes

Up-to-date and accurate data aids in the evaluation and improvement of business processes while allowing you to save money and time. By providing data in a format that can be interpreted by management, quality data allows a business to make informed decisions in day-to-day business processes.

Improved Customer Relations

The customer is king! It is essential for any business to have a good relationship with its customers in order to ensure future sales and success. It’s mandatory to hold accurate data to boost your customer relations. Data allows you to properly understand your constituents, preventing you from sending them mail they won’t read and allowing you to anticipate and address their requirements. Both of these things generate a lot of positive feedback from your customers, and that is why data quality is so crucial.

Understand the Audience and Market

The marketing landscape today is extremely diverse and ever-changing. Within a week, a product that was just released must compete with an updated version from another company. Today’s audiences’ tastes/choices and purchasing processes are continually evolving, posing a significant challenge to businesses.

Any business endeavor requires an understanding of your customer. Successful companies know what their customers want and how to get their product or service in front of them in the most efficient way possible. It is easier to reach out to your customers if you can see them clearly. In order to discover current market circumstances and customer behavior, it is essential that companies have access to high-quality, up-to-date data.

Increased Productivity

Your sales and marketing teams can be more effective when they have access to high-quality data. They may focus on their core purpose of growing an audience and providing sales opportunities rather than validating and addressing data errors.

Data, if correctly accessible and deployed, can offer businesses the way to enhanced worker efficiency. There’s no excuse for leaving data out of your processes when tools and resources are available in greater quantities than any organization could hope to use.

Enhances Marketing Efforts

As one of the responsible B2B marketers, I can tell you that today’s marketing is predicted on data quality to the level of 80%. Data quality is critical since you can’t understand or communicate with your clients and prospects until you have high-quality data.

The value of good data may also be shown in marketing campaigns. Companies could only market to the biggest audience in the past due to a lack of demographic and other crucial data on customers, wasting money on people who were unlikely to be interested in the particular products or service being given.

Minimization of Losses

Poor data can result in revenue loss in a variety of ways, including communications that fail to convert to sales due to inaccurate customer data. Furthermore, customer confidence is lost and corporate liability is increased due to poor data quality.

This is why we B2B marketers should pay greater attention to the practice of just collecting personal information that is directly relevant and necessary to achieve a specific goal. And, by all means, ensure that the information gathered is accurate.

Tips To Ensure Data Quality

We highlighted the importance of good data and the criteria that define it. Let’s look at how you can make sure your company’s data is up to standard.

  • Evaluate the quality of your data on a regular basis and keep track of any issues, errors, or gaps.
  • Calculate the impact of data quality, both good and negative. Identify and enhance the business value created by good data, as well as the costs associated with poor data quality.
  • Identify the main aspects that represent your firm and are necessary for it to expand at a quicker but sustainable pace.
  • Then concentrate on those data sources to separate the useful from the useless.
  • Work toward establishing a central data repository that contains only relevant, full, unique, and trustworthy information.
  • Determine the best tool, method, and technology combination for error-free data analysis.
  • In addition to establishing a core data team, work with competent data analysts and experts. Ensure that accountability is obvious and that data governance principles are well-understood by everyone.

Conclusion

In the day-to-day lives of different authorities handling the data, data maintenance and quality assurance is an ongoing and frequently time-consuming operation. Leaders that position their firms to manage data appropriately and appreciate its intrinsic value will always have a competitive advantage.

Periodic reviews and scrubbing—or cleaning—the data are required to maintain data quality. Scrubbing entails updating, standardizing, and de-duplicating data, as well as ensuring that all relevant information is there. The faster data can be cleaned, culled, and consolidated, the more insights can be extracted.

We don’t take data quality for granted at LogiChannel. It’s an important step in the lead generation process. Lists, on the other hand, rapidly get stale. Promotional operations are severely harmed by out-of-date contact and corporate information. Quality leads shift from one position to the next. To generate successful sales, you must clean data after a title change, a business change, or an email change (or all three). Our data mining team understands what is genuine and what a scam is. We will provide you with the best contacts for your business activities once you assign a task to us.