Data quality for sales and marketing
Did you know?
How bad data affects sales and marketing?
CRM data decay causes significant loss in revenues
High bounce rates
Increased email bounces due to email typos, punctuation errors or data decay, causing loss in domain reputation
Missed or Returned Mails
Unverified or missing address details such as street name and ZIP+4 can lead to failed deliveries and returned mails.
Poor Employee Productivity
Sales and management teams waste nearly 50% of their time handling basic data quality management tasks.
Lack of personalization
Inaccurate and incomplete information can restrict the level of personalization needed to tailor campaigns according to customers’ buyer journeys.
Duplicate marketing efforts
Customers can mistakenly become recipients of campaigns meant for others that can increase attrition rates.
Potential sales losses due to contact details such as email and phone data becoming quickly out-of-date and obsolete.
DataMatch Enterprise – Convert Reliable Data to Sales
See what marketing organizations are saying...
We obtained 24% higher match rate using DataMatch Enterprise™ versus our standard vendor.
We like the way it speeds up the process on anything we do with data, instead of having to run scripts.
DataMatch™ makes it a lot easier for me to match columns in Excel. My whole reason for getting the software was to match up sold vehicles with leads that we’re working
What’s in it for you?
Want to know more?
Check out DME resources
Merging Data from Multiple Sources – Challenges and Solutions
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Address standardization guide: What, why, and how?
Inaccurate and incomplete address data can cause your mail deliveries to be returned. In fact, the US postal service handled 6.5 billion pieces of UAA
What is data integrity and how can you maintain it?
While surveying 2,190 global senior executives, only 35% claimed that they trust their organization’s data and analytics. As data usage surges across various business functions,