Canada’s largest customer data company.

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Canada’s largest customer data company.

FROM OUTDATED TO
OUTSTANDING

HOW ONGOING CUSTOMER DATA MAINTENANCE
DRIVES ROI

Poor data quality has far-reaching consequences, including:

  • increased operational costs
  • fraud
  • lost customers / donors / fans
  • erroneous AI / analytics
  • marketing waste
  • poor brand experience
  • regulatory compliance failures

In contrast, high-quality data provides many benefits, with no downside outcomes:

  • improved customer / donor retention
  • higher marketing ROI
  • accurate AI / customer analytics
  • reduced fraud & operational waste 
  • positive brand experiences
  • competitive advantage

Learn actionable tactics, including:

  • How data quality drives business success.
  • How to win a competitive advantage in personalization.
  • How to test and measure data quality.
  • The hidden costs of bad data.
  • How to get started with a data maintenance program.

Key Highlights from the Report

  • The growing importance of data quality in a digital economy. 
  • The negative impact of poor data quality. 
  • What causes poor data quality. 
  • Understanding data maintenance. 
  • The RIO of proactive data maintenance.

Why Read This Report?

If you’re responsible for maintaining a large customer database, this report provides key insights and strategies to help you collect and maintain data that’s accurate, complete, reliable — and most importantly, actionable for your business.

Request Your Free Copy Today

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About Cleanlist

For over 15 years, Cleanlist has been Canada’s trusted partner for enterprise-level data cleaning, data enrichment, and data acquisition solutions. No matter how old, disorganized, and incomplete your customer data is, Cleanlist can make it pristine and productive.

Cleanlist’s data cleaning solution performed far better than we were able to do internally, even with a huge I.T. team and literally months of effort. Amazingly, they delivered the project in under 2 weeks.

– Retail Loyalty Database Executive