Loqate, a GBG solution
Loqate

Features & Benefits

Communication Effectiveness

If your customer moves house and doesn't tell you, it can lead to missed communications, wasted budget and can negatively affect your customer relationships.

Brand Reputation

If your customers think you've stopped communicating with them, or you're sending communications to the wrong person, you risk customer satisfaction scores and your brand reputation.

Compliance Assistance

Sending multiple communications to the same household, communicating with the wrong person, and not being able to accurately analyse your data increases your risk of a GDPR breach.

How address forwarding and gone away suppression can help improve customer communication

Ensuring your database keeps up with consumers’ changing circumstances is difficult. Gone away suppression files can help you identify individuals who have moved, died or don't want to be contacted.

We use a combination of multiple datasets to provide indication that an individual is no longer at a property. You can use one, all, or a combination of files to obtain the best match rate and maintain your data. Which you use depends on the purpose of the suppression.

Approximately 11% of people move home each year (source: Office for National Statistics). Even your best and most loyal customers may forget to tell you they have moved.

Being able to trace an individual to a new address, or better still identify when they are about to move will: 

  • Cost less than acquiring a new customer
  • Maximise sales opportunities
  • Improve your relationship with your customer
  • Re-engage with lost or lapsed customers
  • Ensure you meet article 5 of the Data Protection Act 2018 “Personal data shall be accurate and, where necessary, kept up to date”.

We use a combination of datasets to ensure that your contact data is usable.

Get free data audit

How Data Cleanse and Maintenance can help you

How does your data measure up?

Take our free data health check and learn how accurate your customer data is. Decide after if you want to cleanse the data or not.