G
GroundTruth
Parking Intelligence
Case studies
Case studies

Real results from real properties.

See how GroundTruth helps leasing teams, asset managers, and owners make data-driven decisions.

Lifestyle Center Rent Premiums

+27%
Lifestyle center
Sunbelt
~600K SF GLA

How one mixed-use, open-air lifestyle center used parking behavior data to support rent premiums and bring hard data into leasing conversations.

Read case study

Garage Optimization & Hidden Demand Discovery

+34%
Mixed-use
Midwest
4-story garage

How a structured garage uncovered a hidden demand pocket on Level 2 — unlocking $250K in incremental value and reshaping the leasing strategy.

Read case study

Holiday Surge Analysis for Retail REIT

+41%
Retail REIT
Portfolio-wide
Q4 Holiday

How a national retail REIT quantified holiday peaks across 4 centers — uncovering a 41% surge that reshaped 2025 leasing strategy and created $1.9M in annualized value.

Read case study

Holiday Zone Optimization

+22%
Lifestyle center
Southeast
F&B focus

How a lifestyle center optimized holiday traffic flow — boosting F&B sales by 22% in four weeks through data-driven re-striping and wayfinding improvements.

Read case study
Case study

How one lifestyle center used parking behavior to support rent premiums.

← Back to all case studies

A mixed-use, open-air lifestyle center partnered with GroundTruth to understand which zones truly outperformed — and to bring hard data into leasing and renewal conversations.

Lifestyle center · ~600K SF GLA
Sunbelt · Suburban
Phase 1 pilot · 90 days

Objective

The ownership and leasing team believed their "main street" frontage was meaningfully more valuable than secondary zones, but they lacked a clean, defensible way to show that to prospective tenants and investment committee members.

They wanted a simple story: which blocks actually over-perform, by how much, and how that should translate into rent and merchandising decisions.

What GroundTruth deployed

GroundTruth installed a network of parking sensor pucks, LoRaWAN antennas, and LPR cameras across garages and key surface lots. Within the first week, the site had live reads on:

  • Visitor counts and dwell by zone, down to the block level
  • Weekday vs. weekend and daytime vs. evening patterns
  • Ingress / egress paths and "true" primary approach routes
What we found
  • The primary "main street" zone ran +27% above the asset average on peak shopping days, with longer dwell and higher repeat visitation.
  • A secondary corridor near an anchor tenant showed strong drive-by counts but very short dwell, indicating convenience parking rather than true visit intent.
  • Evening and weekend demand was materially underestimated, supporting extended hours and a more F&B-weighted merchandising plan.
Case study

How a 4-story structured garage uncovered a hidden demand pocket — and unlocked a new tenant opportunity.

← Back to all case studies

A mixed-use property believed their garage underperformed. GroundTruth revealed that one overlooked level was outperforming every surface lot — leading to a new leasing strategy and $250K of incremental value.

Mixed-use · Retail, F&B, Residential
Midwest metro · ~1.1M population
4-level garage · 1,200 spaces

Objective

Leadership suspected the garage was mostly empty except during holidays, and that tenants "didn't consider" garage traffic in leasing discussions. They believed the asset's surface lots were the only true demand drivers.

They wanted data to validate whether the garage had strategic value for new tenants, wayfinding upgrades, pricing/concessions discussions, and Phase 2 planning.

What GroundTruth deployed

GroundTruth installed 45 parking sensor pucks across levels 1–4, 2 LoRaWAN antennas, and 1 LPR camera to track ingress/egress behavior. The deployment provided zone-level demand views for each garage level and drive aisle, plus heatmaps for time-of-day and day-of-week traffic. Deployment completed in under 3 weeks.

Key findings
  • Level 2 was the highest-demand zone — consistently. It ran +34% above the asset average on weekdays, with +52% higher dwell time during dinner hours. This level outperformed all surface lots except the main street frontage.
  • A previously ignored back-lane entrance drove most arrival traffic. LPR revealed 61% of vehicles entered via a secondary access road that was previously assumed to be "low-value." Visitors parked on Level 2 because it aligned best with their arrival direction.
  • The garage was supporting a hidden "F&B micro-district." Weekend dinner peaks were 2.3× higher on Level 2 than Level 1. Visitors walked directly into a corridor with 3 small F&B tenants — a corridor considered secondary but actually behaved like an anchor adjacency.
  • Surface lots were overestimated. Two key surface lots had high drive-through rates but low dwell, were used mostly as quick-turn or "mistake" parking, and delivered little true merchandising value. This helped rebalance rent expectations.

Impact on leasing & asset strategy

A national wine bar concept was evaluating the center. After showing the Level 2 demand maps, they moved their location preference, leased space adjacent to the garage entrance, and projected sales improved by ~14% using GroundTruth traffic profiles.

Asset managers prioritized wayfinding upgrades with a clear ROI story — improving garage-to-retail signage, adding digital counters showing Level 2 availability, and consolidating "premium" customer routes.

$250K in incremental asset value was identified based on updated rent assumptions, stronger merchandising strategy, and clear demand justification — all directly supported by sensor + LPR data.

Case study

How a national retail REIT used GroundTruth to quantify holiday peaks — and uncovered a 41% surge that reshaped 2025 leasing strategy.

← Back to all case studies

A portfolio-wide pilot revealed which centers captured incremental December traffic — and which zones failed to convert due to circulation bottlenecks.

Open-air retail · ~900K SF
High-income suburb
Portfolio-wide pilot · 4 centers

Objective

The REIT wanted to answer three Q4-specific questions: Where does incremental holiday volume actually go? Which zones convert best when demand spikes? How much "value" is the holiday season adding — and for which tenants?

What GroundTruth deployed

GroundTruth installed 62 sensor pucks across primary parking fields and drive aisles, 3 LoRaWAN antennas, and 2 LPR cameras at main entrances. Data was calibrated within 5 days — in time for the Thanksgiving → Christmas → NYE rush.

Key holiday insights
  • December demand surged +41% YoY. GroundTruth identified +18% higher arrivals, +25% longer average dwell, and +41% combined uplift (volume × dwell). This was far larger than anecdotal estimates from site teams.
  • Two "secondary" corridors captured 63% of incremental visits. Surprisingly, the F&B corridor absorbed most holiday overflow, and the "kids anchor" node saw highly repeatable traffic patterns. Both zones had over 2× higher dwell than main street retail — areas that had been underpriced in previous years.
  • Traffic bottlenecks were predictable and fixable. Data highlighted a 4:45–6:15pm queue at the south entrance, a failing 3-way stop that caused 7–10 min delays, and overflow pushing shoppers to park further than necessary. Simple signage and circulation tweaks improved throughput by ~12%.
  • Tenant conversion opportunity. Two tenants at renewal (a national home goods retailer and a mid-market fashion brand) were shown their actual holiday traffic uplift data: +34% more visitors originating from premium zones and +52% more dwell during weekends. This supported rent increases that had previously been "soft."

Outcome & impact

$1.9M in annualized value creation from rent resets, traffic-based LOI negotiation, improved circulation → improved customer satisfaction, optimized holiday staffing for tenants, and better merchandising decisions for 2025.

Holiday traffic isn't random — it's a pattern. GroundTruth quantified it and turned it into pricing power.

Case study

How a lifestyle center used GroundTruth to optimize holiday traffic flow — boosting F&B sales by 22% in four weeks.

← Back to all case studies

Sensor and LPR data exposed a holiday congestion zone that was suppressing restaurant revenue — leading to a rapid re-striping + signage refresh that paid for itself in one season.

Lifestyle center · 600K SF
Southeast
Holiday season · November–December

Objective

Ownership wanted to understand: Why F&B tenants claimed they were "losing guests" during holiday season? Whether congestion was real or perceived? Which parking zones actually supported dinner demand? How to optimize the customer journey?

What GroundTruth deployed

GroundTruth installed 38 parking sensor pucks, 2 LoRaWAN gateways, and LPR at the two main holiday ingress routes. Deployment was completed the first week of November, in time to capture the full holiday season.

Key holiday insights
  • Holiday visitors were circulating in loops. GroundTruth revealed 27% of cars entered → did a full loop → exited without parking. Cars were bypassing open spaces because signage was misleading, and a single chokepoint created 9–12 minute delays during peak weekends.
  • Premium spaces near F&B weren't actually full — they were invisible. Data showed Level 1 availability remained ~28% during dinner peaks. Guests assumed it was full because of slow-moving traffic outside. Occupancy heatmaps proved visibility, not capacity, was the real issue.
  • The family entertainment zone was cannibalizing F&B parking. Timing patterns showed 4pm–7pm entertainment traffic overlapped with dinner seating. Overflow pushed diners away before they even began looking for parking. Families often circled the same three aisles, creating localized gridlock.

What GroundTruth recommended

  • Holiday-specific wayfinding signs ("F&B Parking → 50 Open Spaces")
  • Re-striping two aisles to reduce looping
  • Rerouting traffic away from the entertainment node between 5–7pm
  • Live occupancy signs at primary entrances

Impact (4 weeks after implementation)

+22% F&B Sales: Tenants confirmed higher table turns, fewer missed reservations, and increased walk-in volume.

+35% Better Parking Turnover: Visitors parked closer, faster, with fewer loops.

-47% Reduction in Drive-Aisle Congestion: Measured during peak holiday weekends.

Higher Customer Satisfaction: Google Reviews mentioning "parking frustration" dropped noticeably during December.

Holiday assets behave differently — and data turns chaos into revenue. GroundTruth gave the center the blueprint for a smoother season and stronger sales.