Add Quality to your Data

We cannot speak enough about the importance of quality data. We know that it is the foundation of your marketing effort. So here are some tips that will help you improve your data quality.

Audit is a must

Have a process in place to track your mail deliverability. It is vital to know which emails bounced back and update your database accordingly. This will help improve the effectiveness of your communication and overall planning in the long term.

Verify information at the start

Procure all required information when the contact is engaged. This is the right time to get information and make corrections if necessary.  This can be done through a web form, a telephone call, or even a live web chat. Incomplete information will hinder the work of your sales team. Ensure that you get all elements in the contact form filled.

Know your data inside out

Understand your data. Be on top of it. You should be able to identify data entry trends. Find out the sources of your bad data and eliminate it with right data verification and standardization processes. Tracking your mail deliverability will help you understanding your data quality challenges.

Get all involved

Get all departments involved in the data management process. As data quality leads to huge business benefits, this effort should be shared by all employees who capture, access, manipulate, and update CRM records. Look for tools that empower your staff to enhance data quality.

Refresh database

Data expires very quickly, especially in this fast-paced digital world. Regular database check-ups is therefore a must.

We at Prepackaged Marketing Data work towards providing you with the best data to make your marketing efforts bear fruits. Contact us for a free consultation. 

5 Ways to Improve Data Quality

I have been writing about the benefits of effective email marketing. And it is common knowledge that your email marketing effort will not bring in the desired results unless you have good database. So before you begin building your email campaign, make sure you get your hands on the relevant database. Quality of the data can be ensured by following these tips:

  

1) Keep track of your mails

You should have a process in place to track the status of the mails you have sent. Emails that bounced back or were returned should be marked and the database updated accordingly. A proactive database is a necessity for improved communication effectiveness.

2) Double-check information before database entry

It is always easier and better to verify the information properly before making it a part of your database. Cross-checking later can be difficult. Correcting contact information is always easier when the client is engaged.

3) Know your data well

Understanding your data quality challenges and making required system changes over time are vital.

4) Get experts to manage data

Appoint multiple data quality managers who know the in and out of data quality management.

5) Have regular database checkups

Data expires pretty quickly. A regular database check-up to ensure that old data is refreshed is indispensable. To ensure contact data integrity, supplement real-time address verification efforts with regular bulk processing.

We, at Prepackaged Marketing Data, work towards providing you with the best data to make your marketing efforts bear fruits. Contact us for a free consultation. 

Grow a healthy database!

Growing your database is the most basic requirement of a successful marketing campaign. A large list is often necessary for maximizing your ROI. However, large list full of ‘dead’ or irrelevant contacts will not lead to a great result. A balance between quality and quantity is especially important.

So how does one get hold of the right database? There are countless examples of marketers who have ‘taken the easy way out’ by purchasing a database. However, what these people quickly learn is that purchasing a database is not the easy option. The sender can receive countless bounces and complaints. A list bought in a hurry can result in the sender being blacklisted or even prosecuted if the contacts on the list were not legitimately obtained.

Growing your database with the right contacts will not only provide a better result, it will also ensure you remain SPAM compliant. So how do you build and maintain the perfect database without wasting time and resources? It is easier than you think. The main strategy is to develop methods of capturing contacts into your existing processes and assets. Even a small change such as setting up a laptop with a registration form at an industry event can generate great results for your business.

If you are really short of time or resources you should always approach a reliable data provider with proven track record and testimonials. Always seek a sample of the required data before making the final call.

Data Quality & Corporate Success go hand in hand

Organizations, more than ever, rely on business intelligence systems to make key decisions. There is a huge emphasis on creating applications that can improve organizational productivity and efficiency and generate customer loyalty, for example, Enterprise Resource Planning (ERP), Customer Relationship Management (CRM), Supply Chain Management (CRM), and Business Intelligence (BI). 

Companies invest huge amounts of money on these technologies to ensure streamlined business processes. However these systems can only reach its potential if they work on valid data.  Inaccurate data can make the whole system ineffective and impact the decision process as well.  

Decision makers who formulate business plans and strategies based on analysis derived from these enterprise applications are at risk unless a data quality program can ensure data validity at the most basic level. Decisions based on faulty data can cause direct financial loss, undermine customer loyalty, and damage an organization’s credibility. Data quality experts estimate that bad data can cost a business as much as 10 to 20 percent of its total system implementation budgets.

Any business improves efficiency and reduces risk exposure through quality data. After all, the information applications that run the business run on data themselves.

Do not make the mistake of underestimating data.