Are you looking to increase your contactable Customer base? How much money are you losing on incorrectly identified Customer communications? Throughout our 30 years of big data experience working with clients across industries around the globe, we have found that maintaining contact through relevant Customer engagement is a crucial component of putting the Customer First.
Essential to preserving contact data is ensuring that you have the most up-to-date information from your Customers; not an easy task. On average, people in the United States will move an average of 12 times in their lifetime. United States Postal Service data indicates 14% of the population change addresses annually. As email contact has grown, it's important to note that, on average, 30% of people change their email addresses each year. This is driven by ISP or job changes, or just to stop being spammed. As people move away from home phones to primarily mobile devices, phone numbers are stabilizing as consumers maintain the same numbers through physical moves.
1. Internal:<p>Maintaining Customer information manually through an internal data team can be time-consuming and costly. It may require Customers to update their information online or through a call center, with an internal data team to validate the changes, and your Customer engagement team to be made aware of the changes so they can update their downstream systems. If you are in contact with your Customers on a weekly basis, this process will need to be on-going and thorough to accurately capture the data changes.</p>
2. Third party:<p>Many third-party CRM systems and databases exist, often removing the manual steps from this process and may even automatically update Customer address information via online sources. In many cases this information is based on publicly available data or the USPS' address tools. However, these updates can verge on being "creepy" to many Customers. Automated systems do remove many of the manual touch points for your teams, but the information is then strictly provided by the third-party databases and processes. Additionally, downstream systems often still require updates from these tools to maintain the most correct Customer information across your data landscape.</p><p>While there are some hybrid models of options, here are the main pros and cons we have identified for the primary methods:</p>
Using shopper data to develop insights that drive better decisions is an approach many modern retailers follow, but how many manufacturers are really reaping the rewards that granular shopper data can provide…
With many sources of market data available and product sales data, manufacturers may feel that they have sufficient insight to understand which of their brands are performing well and which may need intervention. But to get a true understanding of who is buying your products - why, how and when - a far more granular level of data is required.