CUSTOMER ACQUISITIONS - PAID ACQUISITIONS MANAGER

Paid Acquisitions Manager – NSA Storage
Department: Customer Acquisition/Digital Marketing
Location: Remote
Reports to: VP, Digital Marketing
Direct Reports: 2 Paid Media/Acquisition Analysts
Location: The successful candidate must live in one of the listed States: Alabama, Arizona, Colorado, Florida, Georgia, Illinois, Indiana, Kansas, Louisiana, New Mexico, Nevada, N.Carolina, Oklahoma, Oregon, S.Carolina, Tennessee, Texas, Washington.
About NSA Storage
NSA Storage is a large self storage REIT with 1,000+ properties across the U.S. This role is not about running a generic e-commerce funnel, it’s about 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 our 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.
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Role Overview
The 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.
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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.

Team Leadership & Execution

• 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.

Campaign Management & Optimization (Google Ads First)

• 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.

Innovation & Platform Partnerships

• 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.

Local / Brick-and-Mortar Focus

• 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, call extensions, call quality outcomes).
• Support new store openings, rebrands, and key seasonal periods with specific campaigns and launch plans.

Measurement, Reporting & Collaboration

• Partner with Data Science and Analytics to leverage custom models, dashboards, and attribution to guide where and how to invest.
• Produce clear, concise reporting for executives that explains performance in business terms (occupancy, revenue, NOI impact, efficiency), not just channel jargon.
• Work cross-functionally with Pricing, Operations, Call Center, Web Product, and SEO to ensure paid media supports broader market and store-level strategies.

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Qualifications

• Bachelor’s degree in Marketing, Business, Analytics, or related field.
• 4–7 years of hands-on paid search/paid media experience, with significant time managing Google Ads.
• Proven success managing meaningful budgets and improving efficiency (CPA, ROAS, cost per rental, cost per call).
• Experience managing 1–3 direct reports or functioning as a player-coach on a performance marketing team.
• Experience using scripts, automation, or custom models in Google Ads (or strong appetite to learn and partner closely with Data Science).
• Strong analytical skills and comfort working with large datasets (Excel/Sheets, BI tools, GA/GA4, etc.).
• Experience in multi-location, local services, or brick-and-mortar businesses preferred (self storage, retail, home services, etc.).
• Excellent communication and presentation skills; able to translate channel performance into simple, compelling business narratives for executives.

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Who You Are

• Strategic & Mix-Minded: You think in terms of trade-offs and marginal returns across channels, not just “spend more on what’s working.”
• Innovative & Proactive: You bring new ideas, tests, and platform opportunities to leadership and reps instead of operating on autopilot.
• Player-Coach Leader: You like rolling up your sleeves but also enjoy developing analysts, setting standards, and elevating team output.
• Analytical Storyteller: You’re comfortable deep in the data but can summarize it for executives in clear, bottom-line language.
• Curious & Up-to-Date: You stay current on paid media and platform developments and know which trends actually matter for a brick-and-mortar business.