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How to get more data along with Sales leads

Typically the amount of data you want get on a lead is inversely proportional to the number of leads you can generate. A potential customer does not like to fill-up long forms, even if you give incentives.
 
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Typically the amount of data you want get on a sales lead is inversely proportional to the number of leads you can generate. A potential customer does not like to fill-up long forms, even if you give incentives. Therefore the big question is on how to make this inverse equation "less inverse" for lead generation. Assuming other things being equal (like the kind of incentives, gifts etc.., which you are providing..), here are some tricks you can apply:

Some tricks are:

  • Just get the basic information from a customer (name, email ID, telephone number..) and follow-up later.
  • Ask for customer's visiting card and fill-up the form yourself.
  • Use alternative methods- For example you can take a person's telephone number and get his address from telephone book.
  • Ask yourself the reason and purpose for asking an information. Most of the lead generation asks for date of birth, whereas, it may not be required in most of the cases.
  • Instead of asking open ended questions ask objective questions. For example instead of asking customers annual income, given him 4-5 income ranges to select from.
  • Provide both the options to people. Some customers find it faster and convenient to fill-up their information, and some customers like to speak it out.

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Relevant Links to this page
Principles & Rules → Data Quality is a subject of business ownership and not of IT-ownership → Principles & Rules → Don't create a hype on Data Quality Program. → Principles & Rules → Sponsor for a Data Quality Program → Practice Techniques → Business Case for Data Quality → Principles & Rules → Data Quality is not Perfect Quality → Principles & Rules → Engage the Vendors in Data Quality Program → Practice Techniques → Ask for dates instead of number of years → Principles & Rules → How to Maximize the effectiveness of Data Stewardship → Practice Techniques → Field Tips Series#1- Data Mapping and Assessment → Principles & Rules → Data Management Standards for Data Entities will be a mix of collaboration and top-down → Principles & Rules → Data Management standards for data entities are not only for IT systems → Principles & Rules → Cascade your standards and guidelines to business partners and Vendors → Principles & Rules → Data quality assurance and control guidelines are no-brainer. Publish one immediately and evolve thereafter. → 
 
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Relevant links to this page
Data Quality is a subject of business ownership and not of IT-ownership
Don't create a hype on Data Quality Program.
Sponsor for a Data Quality Program
Business Case for Data Quality
Data Quality is not Perfect Quality
Engage the Vendors in Data Quality Program
Ask for dates instead of number of years
How to Maximize the effectiveness of Data Stewardship
Field Tips Series#1- Data Mapping and Assessment
Data Management Standards for Data Entities will be a mix of collaboration and top-down
Data Management standards for data entities are not only for IT systems
Cascade your standards and guidelines to business partners and Vendors
Data quality assurance and control guidelines are no-brainer. Publish one immediately and evolve thereafter.
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