WASHINGTON--The AAPI Victory Fund has partnered with VEDA Data Solutions to provide the most extensive ethnicity modeling ever to political organizations focusing on registered voters in the Asian American community -- more than doubling the number identified from 3.2 to 7.2 million Asian American voters.

"Our biggest national databases are missing crucial details and do not provide a clear picture of voters," said Shekar Narasimhan, chairman and founder of the AAPI Victory Fund. "When voter files list 'unknown,' it becomes challenging to engage with voters on issues that will resonate with them. This data will allow us to meet our goal of increased engagement with the growing Asian American community."

"Micro-targeting at this level changes the outcome of elections. The system can more effectively target, research and communicate with over 7.2 million Asian American voters, including 1.4 million potential new voters," added Narasimha.

Through data modeling, more than 7.2 million Chinese, Japanese, Filipino, Korean, South Asian and Vietnamese Americans were identified nationally, including over 1.4 million potential new voters. Prior to this model, organizations had ethnicity information on less than 3.2 million of the 18.5 million Asian Americans in the United States.

"Increased naturalization rates and increased civic engagement has resulted in an unprecedented growth of new Asian American voters," said Varun Nikore, AAPI Victory Fund vice chair of strategy & operations. "Our goal is to ensure that all eligible Asian American voters are registered and exercise their right to vote in this critical election."

Getting a better picture of the Asian American community will allow for greater engagement and for local and national organizations to use this information to engage, register and turn out Asian American voters.

The Asian American electorate is the fastest growing demographic group in the American electorate. The primary tool used by unions, progressive groups and even the national parties to target and engage voters -- the national databases known as "voter files" -- fail to capture a critical data point for our community -- ethnicity. At the state level, AAPI Victory Fund was able to model ethnicity for:

"VEDA's machine learning-backed models use thousands of inputs, including individual-level, household-level, neighborhood-level and regional-level data on demographics, consumer behavior, political interests and U.S. Census data, enabling us to understand the subtle differences between cultures and help the AAPI Victory Fund reach out to members of their community. Our patent-pending technologies help organizations like the AAPI Victory Fund to find fast and accurate ways to better connect with individuals and to use data to gain better insights about their constituencies or their customers," said Meghan Gaffney Buck, founder and CEO of VEDA Data Solutions.

# # #