Customer Acquisitions - Acquisitions Manager
Listed on 2026-01-12
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Education / Teaching
Digital Marketing
Paid Acquisitions Manager
Join the team as Paid Acquisitions Manager at NSA Storage.
Department:
Customer Acquisition/Digital Marketing
Location:
Remote
Reports to:
VP, Digital Marketing
Compensation: $75,000 - $95,000
Direct Reports: 2 Paid Media/Acquisition Analysts
Eligible States:
Alabama, Arizona, Colorado, Florida, Georgia, Illinois, Indiana, Kansas, Louisiana, New Mexico, Nevada, North Carolina, Oklahoma, Oregon, South Carolina, Tennessee, Texas, Washington.
NSA Storage is a large self‑storage REIT with 1,000+ properties across the U.S. This role focuses on growing rentals, reservations, and qualified calls as efficiently as possible using the right mix of channels in each local market.
You’ll own paid acquisition with a heavy focus on Google Ads and custom bidding models/scripts in partnership with our Data Science team, plus Meta and aggregators. We’re looking for an innovative, strategic, independent thinker who proactively brings ideas, tests, and platform opportunities to the table, and leads a small team to execute at a high level.
Role OverviewThe Paid Acquisitions Manager is responsible for building, optimizing, and allocating paid media so that NSA hits occupancy and revenue goals at the best possible cost. You’ll act as a player‑coach: leading and developing two analysts who manage day‑to‑day campaign operations, while you set strategy, guide the marketing mix across Google Ads, Meta, and aggregators, and translate performance into clear, executive‑ready stories focused on revenue, occupancy, and profitability, not just channel metrics.
Key Responsibilities Strategy & Planning- Own the paid acquisition strategy for Google Ads, Meta, Display, and aggregators to drive efficient, profitable growth across 1,000+ locations.
- Build annual and seasonal plans and budget allocations by brand, region, and market, balancing demand goals, occupancy, and cost efficiency.
- Define and track KPIs such as cost per rental, cost per qualified call, reservation‑to‑rental conversion, and store‑level ROAS, and tie them back to bottom‑line outcomes.
- Make thoughtful decisions about the marketing mix (search vs Meta vs aggregators) based on incremental impact, marginal returns, and business priorities.
- Lead, coach, and develop two analysts who manage day‑to‑day trafficking, optimization, QA, and reporting across platforms.
- Set clear priorities, frameworks, and standards for testing, reporting, and documentation so the team executes consistently and efficiently.
- Review and approve key changes (bids, budgets, structures, creative) while empowering analysts to own and improve their areas.
- Oversee and guide large‑scale Google Ads programs (search, PMax/local, remarketing) using NSA’s custom models and scripts with the Data Science team.
- Ensure the team continuously refines structures, bidding strategies, audiences, keywords, and creative to improve both volume and efficiency (CPA, ROAS).
- Design and supervise structured tests (bids, audiences, messaging, landing experiences, channel mix) and ensure winning approaches are rolled out across brands and markets.
- Oversee Meta campaigns (prospecting/retargeting) and storage aggregators/marketplaces, ensuring they provide incremental volume at the right cost, not just more spend.
- Stay on top of platform changes, AI features, privacy shifts, and broader paid media trends; proactively propose new tactics, betas, and tests.
- Own relationships with Google and Meta reps, bringing forward NSA‑specific hypotheses, pilots, and asks rather than waiting for suggestions.
- Partner with Data Science to evolve models, scripts, and measurement as platforms and the business change, with an eye on efficiency and mix.
- Tailor strategies by market, city, and store based on local competition, occupancy, and rate strategy.
- Use geo‑targeting (radii, zip codes, custom trade areas) and location extensions to direct the right demand to the right facilities.
- Optimize for both online rentals and high‑intent calls to the call center and stores (ad scheduling,…
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