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Profiling your customers and using your customer data
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Email and website technology make it easy for marketers to collect valuable profiling information from their customers. This enables them to maximise the effectiveness of their direct marketing by sending highly targeted, relevant and timely offers, information and messages to these customers. These will achieve significantly higher response rates and direct sales than generic marketing communications. However getting customers to part with this information is a challenge in itself. This article looks at what information you can collect, how to get customers to part with it and how to use the data once you have collected it. How to collect the profile information Customers should be able to create or edit their profile at any time. A link to it should be created in every email and accessible via the website. Of course an obvious place should be on the registration or opt in page. You can even include the profile in traditional direct mail pieces as a direct response postcard. This would also enable you to collect further opted-in email addresses. To encourage your customers to submit their details the following methods can be used: Incentives Registration
page Merge
with CRM data
There are no limits on the information you can potentially collect from your customers. However the more you ask for the less response you will get. Therefore it is essential that you only ask for information that you will have a further use for. Customer profiles should not be used as customer surveys – if you require this information from a sample of your customers then running an email survey campaign would be more effective. (Click here for our newsletter article on E-Surveys) Using the profile data Demographics Examples of how to use this information include:
B2B
Data Use of this data can include the sending of different newsletters for enterprise, corporate and SME customers or case studies from particular industry segments. Product
Interest Purchase
History Of course you can also combine the information held on your CRM database with your customer profiles. You can then use this data to identify your customers who have not made a recent purchase and target these with a new range of special offers to get them back into your store or e-commerce site. Value Within a B2C environment it could be as simple as asking what the customers weekly spend on groceries is. This will enable the company to tailor the emails it sends to its customers by including different value ranges of products. It could also set-up special ‘Gold’ accounts for customers of high value to make them feel more valued by the company. Email
preferences In industries such as the travel industry people tend to make their purchasing decisions once a year. If these customers are receiving numerous emails when they are not looking then they will probably unsubscribe from your emails or stop looking. Instead allow users to specify a pause in the emails they are receiving and to specify a month when they would like to start receiving them again. This will only strengthen the relationship between you and the customer. Customer
Responsiveness and time opted-in To maximise the potential of this information different profile data should be combined. Examples of this are below: 1. Combining B2B Data (Number of employees) with product categories the customer has shown an interest in to send emails recommending the best range of IT hardware solutions for their company. 2. Combining
demographics (Postcode) and customer value to send the best customers an email
inviting them to a special evening at their local store where they will get
extra discounts. Summary This approach detailed above is underused. One of the main reasons being the extra work required. Rather than a single email being produced several emails have to be produced. However the benefits gained from sending highly targeted emails will be displayed on your bottom line, as your campaigns will become more effective. With email there are also minimal costs involved. With direct mail requiring large print runs to make it cost effective this highly targeted segmentation would produce too small data sets. Email of course costs very little to produce and send in comparison. |



