Specify the right business marketing data for your next initiative.
Email Marketing vs Direct Mail Whilst email marketing has its place and benefits, the overall return on investment is considerably lower than most would perceive. The initial cost of an email database needs to be factored in, and compared to the percentage of responders and eventual conversions to becoming a new […]
B2B Data Specification Prospect data specifications can be ambiguous, so it is imperative to ensure they are accurate. In my opinion, it is the responsibility of the list broker to discuss the b2b data requirements with the customer and then take ownership of specifying the required data list in accordance […]
20110223 Sital Responsiva video Responsiva’s regular customer satisfaction surveys consistently prove that b2b data quality is the paramount consideration. Whilst pricing is always key, minimising the number of mailing returns or dead phone numbers and ensuring the business data targets are exactly right for the client target market are of considerably […]
You may have heard the story of the cobbler, whose kids were clothed in worn-out shoes? The point being to ask whether you would buy shoes from such a trader? Or would you go to the dentist who has manky teeth? I am often approached by mailing houses, offering to print, pack […]
The most common approach for companies who seek a business data list of white collar workers is to review the industry classifications. With around five hundred SIC codes, and two thousand lower level business data descriptions, these will show the vertical market that each company operates within. But does this method truly identify the white collar […]
There are three reasons to get business data samples when sourcing a prospect list; (1) Data Qualification (2) Quality Testing (3) Review the b2b data Fields DATA QUALIFICIATION The first, Data Qualification, is your opportunity to manually check each sample record to ensure it meets with your business data brief. Some examples […]
The premises type within the business data universe has genuine value to some business types. Most especially those targeting a specific kind of building rather than by industry classification. Three good examples follow; 1. Industrial Waste Disposal / Collection By selecting a prospect list by specific industry classifications will yield anomalies. For example, […]