Data quality for sales and marketing

Resolve contact data decay in CRMs, Excel sheets, and other data sources through deduplication and data cleansing to lower customer acquisition costs and increase customer lifetime value goals.

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How bad data affects sales and marketing?

27%

CRM data decay causes significant loss in revenues

27 percent of B2B marketers admit that insufficient data has cost them 10% or, in some cases, even more in annual revenue losses.
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High bounce rates

Increased email bounces due to typos, punctuation errors, or data decay can lead to a loss of domain reputation.

Missed or Returned Mails

Unverified or incomplete address details, such as street names and ZIP+4 codes, can result in failed deliveries and returned mail.

Poor Employee Productivity

Sales and management teams spend nearly 50% of their time on basic data quality management tasks.

Lack of personalization

Inaccurate or incomplete information can limit the personalization needed to tailor campaigns 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Potential sales losses due to contact details such as email and phone data becoming quickly out-of-date and obsolete.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

DataMatch Enterprise provides marketing companies with robust list matching and cleansing solutions to prevent losses from data decay. With prebuilt CASS-certified address verification, intuitive data cleansing tools, and fuzzy matching algorithms, obsolete, duplicate, and redundant contact details can be removed to improve campaign engagement and response rates.

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Customer Stories

See what marketing organizations are saying...

We obtained 24% higher match rate using DataMatch Enterprise™ versus our standard vendor.

Andrew Brownell Strategy and Analytics Consultant, Enterprise Content Solutions
Andrew Brownell

We like the way it speeds up the process on anything we do with data, instead of having to run scripts.

Aaron EvansOwner, On-Impact Strategies
Aaron Evans

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

Matt GriffinVP. of Operations, TurnKey Auto Events
Matt Griffin

Business Benefits

What’s in it for you?

Set Data Standards

Standardize account names, contact names, and addresses by adjusting suffixes, initials, or abbreviations to achieve data consistency.

Validate Data in Real-time

Leverage real-time APIs to ensure that data submitted through input forms complies with predefined rules before entering your CRM.

Personalize Customer Experiences

Achieve a single customer view across channels to optimize omni-channel campaigns and customize messaging according to customer lifecycle stages.

Uncover New Revenue Opportunities

Maximize upsell and cross-sell opportunities by utilizing complete and up-to-date customer transaction histories and purchase signals.

Lower Customer Acquisition Costs

Save man-hours on data cleansing and matching, as well as on direct mail packaging and postal costs for duplicate leads, reducing acquisition expenses.

Focus on Strategic Activities

Automate data cleansing and matching routines to save valuable man-hours for core marketing activities such as predictive modeling, marketing stack management, and sponsorships.

Why Data ladder

Want to know more?

Check out DME resources

Merging Data from Multiple Sources – Challenges and Solutions

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