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Techniques for solving targeting problem with very low response rate

I have a population of customer in which 180 out of 5,000,000 is buying a particular product X. Now business wants a list similar to 180 who have the propensity to buy X from the sample so that they can target in future campaigns.
Now as the response rate is low so I am skeptic of using traditional look alike model in this scenario.
Can anyone suggest any technique which can be modeling or data analysis in order to solve this problem?
Thanks for the help in advance!!


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