Blog

In an omnichannel purchasing journey, the customer experience must be consistent and engaging from start to finish. Qualified customer data is essential to bring consumers through to the transaction.

A customer database would contain nearly 30% outdated information within a year and incorrect contact data. Let’s revisit the fundamentals to ensure Data Quality of this foundational customer knowledge.

In the era of multichannel, when achieving a 360-degree view of customers seems like an impossible mission, it remains to identify the obstacles and the means to overcome them. Data Quality holds more than one asset to meet the challenge.

The Black Friday has become a major event with customers for retail. This date offers a strategic opportunity to to collect and customer and prospect data to improve customer relations, better target the consumers and engage throughout the year.

Thanks to Data Quality, the value of customer data soars. When it is qualified and unified, data becomes a reliable asset with multiple benefits for business lines, decision-makersand customers.

A data quality solution must be accompanied by real support and offer a number of guarantees to put your data quality project on the right track for the long term.

The proportion of inactive customers is on average between 20 and 50% of a database – customers who no longer respond to the company’s requests.

Data quality in the customer repository is a universal issue, and dealing with duplicates is an integral part of data quality management.

In many customer relations scenarios, the postal service is still the channel of choice. However, delivery failures are costly and degrade customer experience and confidence.

Retaining top talent is critical in winning new deals and maintaining customer satisfaction. Without the proper tools, including quality data, businesses run the risk of losing valuable personnel to burnout or better opportunities.

In retail, qualifying customer data as soon as it is entered into contact forms brings multiple benefits in customer service and experience.

Since the indirect sales model requires it, first-party customer data is a sought-after asset in the industry.