Data quality for sales and marketing
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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.
Data Decay
Potential sales losses due to contact details such as email and phone data becoming quickly out-of-date and obsolete.
Solution
DataMatch Enterprise – Convert Reliable Data to Sales
Customer Stories
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
Business Benefits
What’s in it for you?
Set Data Standards
Standardize names of accounts, contact names, and addresses by adding or removing suffixes, initials, or abbreviations to achieve data consistency.
Validate Data in Real-time
Leverage real-time API flows to validate data coming directly from input forms to your CRM database using specific rules.
Personalize Customer Experiences
Have a single customer view across multiple marketing channels to leverage omni-channel campaigns and tailor messaging specific to customers’ lifecycle stages.
Uncover New Revenue Opportunities
Make use of complete and up-to-date customer transaction history and purchase signals to capitalize on up-sell and cross-sell opportunities.
Lower Customer Acquisition Costs
Save man-hours cleansing and matching data and on direct mail packaging and postal costs targeting duplicate leads to lower acquisition costs.
Focus on Strategic Activities
Automate cleansing and matching routines to save crucial man-hours for core marketing activities such as predictive modelling, marketing stack or sponsorships.
Want to know more?
Check out DME resources
Merging Data from Multiple Sources – Challenges and Solutions
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Empowering Teams Through Data Democratization: The Role of Clean and Matched Data
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Empowering Teams Through Data Democratization: The Role of Clean and Matched Data
Everyone says data is power. But let’s be honest: in most companies, data is politics. It’s locked in tools no one understands, hoarded by teams
How APIs Enable Integrated Real-Time Data Processing
76% of business leaders say the ability to access and analyze data in real-time is critical to business performance, but only 33% report having mature
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