Performance Marketing Manager - Geo- Fencing and Retail Localization
smartdept. is searching for a Senior Performance Marketing Manager – Geo-Fencing & Retail Localization for a retail consumer products client. The ideal candidate will come with 5+ years of performance marketing experience, including at least 2+ years focused specifically on geo-fencing and location-based retail campaigns. This is a project-based, fully remote, 3–6 month contract opportunity with the possibility of extension or conversion to full-time staff.
This role will lead the strategy, execution, and optimization of hyper-local, geo-fenced retail media campaigns designed to drive measurable in-store traffic and sales lift across national big box retail partners. The ideal candidate thinks beyond ZIP codes and works at the store-radius level—leveraging foot traffic analytics, retail sales data, and advanced geo-targeting platforms to connect digital ad spend directly to in-store performance.
What You’ll Do:
Strategy & Planning
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Develop geo-fenced campaign roadmaps aligned with retail sales data, seasonal trends, and promotional calendars
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Identify top-performing store locations and define optimal targeting radii using trade area, demographic, and foot traffic data
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Build structured testing frameworks for radius size, creative variations, bid strategies, and dayparting at the store level
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Execute competitive conquesting strategies targeting around competitor store locations
Campaign Execution & Management
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Launch and manage geo-fenced campaigns across:
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Social: Facebook/Instagram (radius targeting), TikTok, Snapchat
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Search: Google Local Campaigns, Local Inventory Ads (LIA)
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Programmatic: GroundTruth, Simpli.fi, PlaceIQ, Verve or similar
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Implement multi-location campaigns across dozens to hundreds of retail locations
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Utilize dynamic creative optimization (DCO) and localized messaging by neighborhood demographics
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Manage budget allocation strategies for both small (5–50 stores) and scaled (100+ stores) rollouts
Measurement, Analytics & Attribution
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Establish attribution models connecting digital spend to in-store traffic and sales
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Implement Google Ads store visit tracking and Facebook offline conversions
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Analyze foot traffic data using platforms such as Placer.ai, SafeGraph, or similar
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Track and report on:
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Store visit lift
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Attributable in-store sales
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ROAS by location
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Cost per store visit
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Adjust bids and budget allocation based on store-level performance data
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Conduct A/B testing at the location or store-cluster level
Cross-Functional Collaboration
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Partner with creative teams to localize messaging while maintaining brand consistency
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Align digital geo-targeting with retail promotions, seasonal events, and regional activations
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Manage relationships with geo-fencing and attribution platform vendors
What You’ll Need:
Education/Experience:
Bachelor’s degree in Marketing, Analytics, Business, or related field preferred
5+ years of performance marketing experience required
Minimum 2+ years hands-on geo-fencing/location-based marketing experience
Core Technical Expertise
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Advanced experience with geo-fencing platforms (GroundTruth, Simpli.fi, PlaceIQ, Verve or similar)
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Deep knowledge of Facebook/Instagram radius targeting and Google Local Campaigns
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Experience with Google Local Inventory Ads (LIA)
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Familiarity with attribution platforms such as Rockefeller, NinthDecimal, or similar
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Ability to analyze store-level sales data and map revenue performance to specific targeting radii
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Experience managing multi-location campaigns at scale using platforms like Skai, Kenshoo, Smartly, or equivalent
Retail-Specific Experience
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Demonstrated experience targeting big box retailers (e.g., Walmart, Walgreens, CVS, or similar multi-location brands)
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Experience executing competitive conquesting campaigns
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Proven drive-to-store measurement success with documented ROAS and store visit lift
Data & Analytical Skills
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Trade area analysis and radius optimization (beyond default 1-mile targeting)
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Daypart and time-of-day targeting by store performance
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Bid optimization by individual store or region
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Experience conducting location-level A/B testing
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Ability to build dashboards and performance reporting for leadership
Nice-to-Have Skills:
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Experience with weather-triggered or event-based geo-targeting
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SQL or advanced data analysis experience
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Google Local Ads and Meta Blueprint certifications
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Experience scaling geo programs nationally
Success Metrics:
Strong candidates will be able to demonstrate:
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Increased in-store traffic by X% in geo-fenced markets
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$Y in attributable in-store sales driven by digital campaigns
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Z:1 ROAS on location-based advertising
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Reduced cost per store visit through refined targeting and optimization
