Professional Data : Without genuine and credible data, running an inbound B2B marketing campaign is nearly impossible. Most B2B marketing efforts such as email and webinars rely heavily on well-maintained and updated data to generate new business.
Organizations purchase or rely on internal customer databases to run campaigns.
Email marketing and social media marketing play an important role in generating leads, increasing subscription and signup rates. But no matter what method marketers use to run their campaigns, ultimately the key to generating quality leads is a clean and updated customer database.
A database with unclean data and misinformation can severely impact your return on investment as well as impact your ongoing marketing campaigns.
How should marketers take credible data?
One way to have credible data is to obtain a licensed customer database from a trusted service provider. Data licensing is a service where marketers can get access to clean, real-time and correct databases according to their needs and preferences.
Once marketers provide a service, they become the licensee of that particular piece of data. However, the time period is different for each service agent.
Because of the validity and reliable insight of customers or prospects – which is more than just emails and contact numbers – the industry and companies have no choice but to rely on service.
Unlike automated lead generation software solutions, outsourcing data licensing services actually help marketers to generate targeted leads.
B2B marketer reliance on licensed data:
In general, the size and quality of the internal database can sometimes lead to poor lead generation. Reliability may be low due to failure to update database constantly.
Likewise, through a data licensing service, marketers can purchase a custom-built and segmented collection of customer databases that help improve the performance of inbound marketing campaigns.
B2B marketers get access to various services and databases if they choose a data licensing service. Apart from maintaining and improving data cleanliness, marketers can gain access to customized mailing lists, send emails to segmented target groups and also conduct market research activities to gain further understanding of their current clients and customers.
In conclusion, an organization that fails to manage their database is pushing its organization’s success to rock bottom. With competitors everywhere in the industry, having a weak and incomplete database can only degrade a company’s performance and brand image.
The data licensing service on the other hand ensures to act as a catalyst to generate more leads through a validated and credible way. Ultimately, it is up to the company to choose or continue outdated data generation techniques.
Find the Hidden Facts of Unstructured Data
Data is a gold mine of insights. It is important to have an integrated information architecture that facilitates better insight into multi-dimensional information to meet business decision-making and key events. The biggest question is, ‘Where to start and how to find what’s hidden in the data?’
It is believed that the average Practice Analyst and Data Scientist spend 70 to 80% of their time on data preparation, based on the events they deem important. There are different dimensions to the data. This data is channeled from various sources (internet/web data) which is added to traditional sources making it complicated. The more dimensions, the more complex the data, making it difficult to create sustainable business value.
Here are some examples of the different dimensions of Unstructured Data:
• Data from corporate & personal email ids and social network profiles
• Text messages and instant messages
• Data generated from user activity on the site, such as location information
• Customer call logs and voicemail data
• Newspaper articles & whitepapers
• Encrypted files and pictures
• Image, audio and video files
• Calendar and contacts
• Internet browsing history
Smart technology can make things run smoothly with the right infrastructure. Companies are increasingly interested in accessing unstructured information/data and integrating it with structured data. Most platforms can identify the maximum potential of the important variables followed by determining their relevance to the business.
More precise data allows for better test assumptions and easy identification of trends and provides greater confidence in analysis results.
Here are the steps to gather hidden facts:
• Collect relevant data from relevant sources.
• Get a robust process for storing data.
• Run and define important variables.
• Develop predictive models.
The future of information is not only the analysis of data volumes but also the implementation of enhanced solutions that can enable everyone across the organization to communicate and interact with data, thereby leading to the creation of an efficient, effective, productive and successful environment.
The technology behind the process of analyzing unstructured data to gain useful insights is beginning to redefine the way organizations view data and will significantly reduce the number of hours required to gather information. Unstructured data files often contain a rich set of facts and dimensions that go unnoticed due to their lack of visibility in a structured format.
Therefore, it is necessary to mark and annotate the facts inherent in the text and their relative dimensions, so that the structures derived from them can be used for knowledge management and business intelligence.