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Data Appending for Customer Database Creation

Marketing is no longer direct and it is important to know an individual more than a customer and beyond that of him as a one-time buyer. Businesses today rely on developing a stronger relationship with clients; understand their behaviour and the purpose of his purchase from your organization. Data Appending helps us understand client's personality and why he takes the decisions he does.

Business intelligence and marketing performance can be greatly enhanced by American Cititrends Inc., which enables appending of key business data elements, increasing your customer database. In addition, contact information with option of several communication channels enhances customer retention and the option of identical leads on external lists.


Data Validation is the procedure by way of which we update incomplete information in your existing database or removing poor quality data by pre-qualifying it as per client’s requirements with the help of Primary & Secondary research. Data validation helps in segmenting the data according to client’s needs.


Data mining is the process of adding new data collected by doing primary or secondary research. We provide comprehensive solution of primary & secondary research to mine database as per the client’s needs.

Our Data Mining Process:

  • Identifying right industries
  • Focusing on right profiles (eg CXO, Head, middle management, etc.)
  • Web Research (Secondary Research)
  • Verifying or Pre-qualifying mined data as per the requirement.


American Cititrends Inc begins data appending by matching your home file against our comprehensive B2B multiple channel database. Our match rates by sites are almost 80% for companies, following which your database will be appended by critical information.


Analysing customer databases poses some significant challenges, the main one being inconsistency of records, which makes it difficult to streamline your database and hampers identification of record clusters.

American Cititrends Inc enables the viewing of specific data fields within the customer base, to facilitate large scale file segmentation.  Fields can be viewed and categorized accordingly:

  • Industry
  • Job Titles
  • Geography
  • Employee size
  • Revenue Size