Nomination Category - Automated Phone Calls #75 - Independent Expenditure

Minority Women Get Out The Vote 2000

This nonpartisan campaign was a national calling effort that targeted three groups of minority women urging them to go to the polls and vote on Election Day. The message stressed the importance of women voting for the betterment of women, their children, and their community. The women of color targeted for these calls were minority groups that historically have had low voter turnout in 13 pre-selected major metropolitan areas across 11 states. Primarily, the recipient demographic was finely targeted in that a minority (ethnicity) within a minority (women) was selected by voting history. Specifically, this Get Out The Vote effort was conducted across 5 days, including Election Day, to Hispanic, Asian, and African American women. In addition to ethnicity, women were selected by voting history such that they must have voted in at least one election in the past 8 years.

The rationale for the "Women of Color" Get Out The Vote effort was to increase minority women turn-out at the polls by motivating a larger percentage than usual of the "infrequent" women voter base to vote. The crafted Get Out The Vote message was delivered using a strategic blend of live and automated, and in some cases bi-lingual, messaging to optimize the persuasiveness of the message by ethnicity, to improve production, and to maximize the number of women contacted overall.

A detailed process was followed for selecting the targeted women groups and ensuring maximum persuasiveness of the message obtained by carefully matching the targeted women groups with that of the professional women telephone operators delivering the automated and live messages as outlined in the next two subsections.

Targeting the Demographic

Census data was used to cumulate a demographic breakdown for the three targeted women minority groups within 13 pre-selected cities. From this information, the percentage of total calls to be made into each geographic location was determined for each ethnic group. This was achieved by analyzing the proportional distribution based on population size and ethnicity mix. Ethnicity was determined using information obtained from voting records within the 13 cities. However, in areas where this information was not available, records were pulled by gender within pre-selected, ranked Congressional Districts and voting Wards to maximize targeting by ethnicity. Then, the telephone list was secured and a 20-second GOTV message was developed that addressed the importance of women voting.

Blended Live to Automated Calling Strategy

A live to automated calling strategy was utilized that allowed optimum production rates to be obtained by blending automated calls within live telephone calls dependent on fluctuations in the live answer rate in any given region. Primarily, answering machine pick-ups were filtered by the dialing system so that only live answers were passed to the women telephone operators unless the number of live answers per hour began to decline. Then, a pre-recorded message was delivered to answering machine pick-ups only, with live answers still being handled by women telephone operators.

Persuasiveness Messaging Through Matched Demographics

Live Messaging: Live calls were conducted almost exclusively by women telephone operators of the same ethnicity as the targeted group of women voters. Specifically, calls to Hispanic women voters were made by bi-lingual women telephone operators and the automated message was also recorded by a bi-lingual Hispanic woman. Based on how the telephone was answered, telephone operators determined whether to use English or Spanish. Similarly, calls to Asian and to African American women voters were made exclusively in English by women telephone operators of similar ethnicity.

Automated Messaging: As with the live calls, three versions of the pre-recorded automated message were recorded using targeted voice-overs dependent on ethnicity. The message for Hispanic women voters was recorded in both English and Spanish by a Hispanic woman while the messages recorded for Asian and for African American women voters were recorded in English only by Asian and African American women, respectively. The automated message delivered to answering machine pick-ups indicated specifically that the call was intended for the woman of the household.

 

Using targeted voice-overs by selecting women operators of the same ethnicity to record the automated message, as well as for live messaging, helped to ensure the persuasiveness of the message within the three ethnic groups. Also, delivering the pre-recorded automated message to answering machines brought maximum consistency and control over call quality and had the added benefit of being savable and therefore repeatable. Because the automated message specified the importance of ensuring that it be heard by the woman of the household, the likelihood of it being listened to by several household members then resaved before it was finally removed from rotation was increased significantly.

Incorporating the technique of blended automated calls to live calls not only resulted in good production in terms of completed calls per hour, but more importantly it delivered a 26% increase in the phone list penetration compared to an average penetration of 65%. Combined, the three calling lists were penetrated 88%, with a penetration of 85% for the Hispanic records, 88% for the African-American records, and 91% for the Asian records. Finally, inclusion of the automated pre-recorded messages to answering machines blended with live delivery to live answers resulted in the message being delivered successfully on a vast majority of the calls completed. Overall, across the three ethnic groups, the Get Out The Vote message was successfully delivered on 84% of the calls completed.

The care and detail taken in the research helped make this Get Out The Vote campaign an outstanding effort. A calling strategy was put forth that matched the ethnicity of the callers to ensure that 1) the desired women demographics were effectively targeted within each of the 13 cities, (2) the message had maximum impact in terms of persuasiveness across the three women minority groups and (3) the message would be delivered successfully to as many minority women as possible across the three calling lists.


 


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