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Methods and systems for targeted demand generation based on ideal customer profiles
专利权人:
Metadata, Inc.
发明人:
Allouche Gil David
申请号:
US201615297341
公开号:
US9665885(B1)
申请日:
2016.10.19
申请国别(地区):
美国
年份:
2017
代理人:
American Patent Agency PC `Hussain Daniar`Shi Xiaomeng
摘要:
Disclosed are methods and systems for generating ideal and opt-in business leads utilizing targeted advertising campaigns. The method comprises first retrieving and statistically analyzing qualified leads from a CRM system to identify an ideal customer profile (ICP), and retrieving candidates leads that either match the ICP or are lookalikes from one or more lead data sources. Next, generating test advertising campaigns, receiving feedback on the test advertising campaigns from candidate leads in test target groups, scoring each test advertising campaign based on received feedback, and selecting ideal business leads that match a profile of a test target group that responded to a test advertising campaign with a high score. Furthermore, generating main advertising campaigns, receiving responses, and generating ideal and opt-in business leads by selecting ideal business leads that responded affirmatively. The present invention provides a closed-loop architecture to produce qualified, ideal, and opt-in leads for
来源网站:
中国工程科技知识中心
来源网址:
http://www.ckcest.cn/home/

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