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 36 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 levelleveraging foot traffic analytics retail sales data and advanced geo-targeting platforms to connect digital ad spend directly to in-store performance.
Strategy & Planning
Develop geo-fenced campaign roadmaps aligned with retail sales data seasonal trends and promotional calendars
Identify top-performing store locations and define optimal targeting radii using trade area demographic and foot traffic data
Build structured testing frameworks for radius size creative variations bid strategies and dayparting at the store level
Execute competitive conquesting strategies targeting around competitor store locations
Campaign Execution & Management
Launch and manage geo-fenced campaigns across:
Social: Facebook/Instagram (radius targeting) TikTok Snapchat
Search: Google Local Campaigns Local Inventory Ads (LIA)
Programmatic: GroundTruth PlaceIQ Verve or similar
Implement multi-location campaigns across dozens to hundreds of retail locations
Utilize dynamic creative optimization (DCO) and localized messaging by neighborhood demographics
Manage budget allocation strategies for both small (550 stores) and scaled (100 stores) rollouts
Measurement Analytics & Attribution
Establish attribution models connecting digital spend to in-store traffic and sales
Implement Google Ads store visit tracking and Facebook offline conversions
Analyze foot traffic data using platforms such as SafeGraph or similar
Track and report on:
Store visit lift
Attributable in-store sales
ROAS by location
Cost per store visit
Adjust bids and budget allocation based on store-level performance data
Conduct A/B testing at the location or store-cluster level
Cross-Functional Collaboration
Partner with creative teams to localize messaging while maintaining brand consistency
Align digital geo-targeting with retail promotions seasonal events and regional activations
Manage relationships with geo-fencing and attribution platform vendors
Education/Experience:
Bachelors 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
Advanced experience with geo-fencing platforms (GroundTruth PlaceIQ Verve or similar)
Deep knowledge of Facebook/Instagram radius targeting and Google Local Campaigns
Experience with Google Local Inventory Ads (LIA)
Familiarity with attribution platforms such as Rockefeller NinthDecimal or similar
Ability to analyze store-level sales data and map revenue performance to specific targeting radii
Experience managing multi-location campaigns at scale using platforms like Skai Kenshoo Smartly or equivalent
Retail-Specific Experience
Demonstrated experience targeting big box retailers (e.g. Walmart Walgreens CVS or similar multi-location brands)
Experience executing competitive conquesting campaigns
Proven drive-to-store measurement success with documented ROAS and store visit lift
Data & Analytical Skills
Trade area analysis and radius optimization (beyond default 1-mile targeting)
Daypart and time-of-day targeting by store performance
Bid optimization by individual store or region
Experience conducting location-level A/B testing
Ability to build dashboards and performance reporting for leadership
Nice-to-Have Skills:
Experience with weather-triggered or event-based geo-targeting
SQL or advanced data analysis experience
Google Local Ads and Meta Blueprint certifications
Experience scaling geo programs nationally
Strong candidates will be able to demonstrate:
Increased in-store traffic by X% in geo-fenced markets
$Y in attributable in-store sales driven by digital campaigns
Z:1 ROAS on location-based advertising
Reduced cost per store visit through refined targeting and optimization
Required Experience:
Manager
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