The retail brand was experiencing challenges in audience development, specifically reaching relevant customers online, leading to low engagement and poor conversion rates across its digital campaigns. In order to drive sales and increase return on ad spend (ROAS) they needed a more precise targeting strategy to better address audience needs.
The retailer was experiencing declining results from its direct mail campaigns, with low response rates and minimal in-store traffic. They needed to refine targeting efforts to increase relevance and engagement with their mail offers.
It’s no surprise that new movers are a lucrative segment for many businesses. They’re known for spending money — and everyone is in competition to earn their dollars. So why not reach them as soon as they hit their new neighborhood, just as they’re forming their spending habits?
New mover lists are a hot commodity for marketers looking to acquire new customers and establish brand loyalty when consumers are in buying mode — the perfect environment to create new brand loyalties and high lifetime value relationships.
A large, regional cable service provider was seeking to improve new connect rates in their top service markets. Using prior new mover targeting methods, they were unable to achieve a lift in overall response and connect rates.
A nonprofit organization was challenged with driving membership and donor support to a cause supporting scientific study, conservation, and advocacy for a cleaner environment. They were experiencing list fatigue and needed to find additional data sources.
A well-known residential carpet and floor cleaning company was looking to drive new customer acquisition targeting recent new movers. Using prior targeting methods, they were unable to achieve their desired response rate of .50%.
A home security systems provider was facing hurdles in their quest to gain new customers. Their focus was single-family dwelling units, but they were unable to reach new movers before their competitors.
A home improvement retailer had a strong online and physical presence but was not effectively targeting new movers. A lack of segmentation based on dwelling type, home value, age, and income was also a hindrance.
A furniture retailer sought to attract new customers to their stores and website. Previous targeting methods failed to reach new movers before their competitors, and targeting factors such as age and income were unavailable.
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