The right tenant mix is the difference between a center that draws traffic and one that merely contains stores. A mall anchored by a struggling department store with a rotating cast of transient tenants generates different outcomes than one anchored by a growing experiential brand with carefully curated co-tenants. Both centers have the same square footage. Both have leases. What separates them is the deliberate assembly of tenants whose traffic patterns, customer bases, and brand positioning reinforce each other.
For landlords, REITs, and shopping center developers, tenant mix optimization is the most controllable lever for property performance. You cannot change the location. You can change who operates there.
This guide covers how data transforms tenant mix decisions from intuition-based to evidence-based, the metrics that define a healthy mix, and how to identify which tenants drive traffic versus which simply occupy space.
What tenant mix optimization actually means
Tenant mix optimization is the process of deliberately selecting, sequencing, and balancing the retailers, restaurants, and services in a shopping center to maximize total property traffic, visitor dwell time, and cross-shopping.
It operates across three dimensions:
Category balance. The right mix of anchors, destination retailers, convenience retailers, dining, entertainment, and services. Too heavy on any single category creates a mono-culture that limits the center’s addressable audience.
Brand quality within category. Within each category, selecting tenants whose brand strength matches the center’s positioning. A premium lifestyle center needs different tenants than a value-oriented power center, even if both have “apparel” as a category.
Spatial and temporal flow. How tenants are arranged within the center and how their peak hours align. A coffee shop near the entrance captures morning traffic. A restaurant cluster near the entertainment anchor captures evening traffic. Poor spatial planning means tenants compete for the same customers at the same times instead of extending the center’s active hours.
Why tenant mix matters more than ever
The performance gap between well-curated and poorly-curated centers is widening. PassBy’s data shows super-regional malls declining 1.2% YoY in foot traffic while community centers are growing 1.22%. That 2.4-point gap is not primarily about format — it reflects the fact that community centers have historically been easier to curate (fewer, more convenience-oriented tenants) while super-regional malls have struggled with tenant mix as traditional anchors have weakened.
Within any given format, the top-performing centers in a market can be 30-50% above the bottom-performing ones on per-square-foot traffic. Location and square footage explain some of that variance. Tenant mix explains the rest.
The data that drives tenant mix decisions
Cross-visitation patterns
The foundational question in tenant mix: which tenants share customers, and which do not?
Cross-visitation data shows, for any pair of retailers, what percentage of one retailer’s visitors also visit the other. Strong cross-visitation means the two tenants reinforce each other. Weak cross-visitation means they operate in parallel, drawing different customers.
High cross-visitation examples. A Sephora and a women’s fashion retailer typically show 40-60% cross-visitation. A QSR and a grocery store might show 50-70%. A gym and a smoothie shop often exceed 60%. These relationships are the evidence base for co-tenancy decisions.
Application. When evaluating a potential new tenant, cross-visitation data reveals which existing tenants would benefit from their presence and which would be unaffected. A tenant that shows high cross-visitation with multiple existing tenants adds traffic to the network. One that shows low cross-visitation with the existing mix may be a competitor for the same customer rather than a complement.
PassBy’s Almanac platform provides cross-visitation analysis for any set of retail locations. For a walkthrough, visit the help center.
Daypart coverage
A healthy center has tenants whose peak hours collectively cover the full day, not tenants that all peak at the same time.
Coverage analysis. Map each tenant’s hourly traffic pattern. Identify the coverage: which hours have strong traffic from multiple tenants, and which hours have traffic from only one or two tenants.
Gap filling. If the center’s 2pm-5pm window has minimal activity from any tenant, adding a tenant whose peak falls in that window extends the center’s active hours. If evenings are weak, an entertainment or dining tenant with strong evening traffic fills the gap.
Avoiding stacking. If five tenants all peak at noon, they compete for the same customers. Adding a sixth tenant with the same peak does not meaningfully expand center traffic. Adding a tenant with off-peak traffic does.
Visitor demographics by tenant
Each tenant’s visitor profile contributes to the overall demographic signature of the center. A center with every tenant serving the same demographic has a narrow audience. One with tenants serving different demographic segments has a broader addressable audience.
Demographic diversification. PassBy’s demographic data shows who visits each tenant. A center where every tenant’s visitors skew 25-34 with similar income levels has limited growth ceiling. One where different tenants attract different demographic segments (families at the grocery anchor, young professionals at the fast casual, older shoppers at the department store) has resilience across economic cycles and consumer trends.
Demographic alignment with the trade area. The center’s collective tenant demographics should align with the surrounding trade area’s population. Misalignment — a center of premium tenants in a value-oriented trade area, or vice versa — leads to chronic underperformance regardless of individual tenant quality.
Individual tenant performance trajectory
Not every existing tenant is an asset. Some are drags on center performance even if they pay rent reliably.
Trajectory analysis. PassBy’s 5+ years of historical foot traffic data shows whether each tenant’s traffic is growing, stable, or declining. A tenant whose traffic has declined 20% over three years is contributing less to the center’s overall health each year, even if their lease continues.
Replacement decisions. When a lease expires for an underperforming tenant, the decision is not just “renew at what rent” but “would a different tenant generate more traffic, better cross-visitation, or more strategic fit?” Trajectory data de-risks this decision.
The tenant mix optimization process
Step 1: Establish the current state
Map every tenant in the center: category, brand, lease terms, square footage, hourly traffic pattern, visitor demographics, and cross-visitation with other tenants. This baseline reveals the center’s current strengths and gaps.
Step 2: Identify gaps and weaknesses
Compare the current state against what the center could be:
- Which dayparts are under-served?
- Which demographic segments are under-represented among visitors?
- Which categories are missing or weak?
- Which tenants contribute least to overall center traffic and cross-visitation?
Step 3: Define the target mix
Based on the trade area, the center’s positioning, and the gaps identified, define the ideal tenant mix. This is not a list of specific brands but a category and positioning framework: anchor roles, destination tenants, convenience tenants, dining and entertainment allocation, and service tenants.
Step 4: Prioritize leasing action
Match the target mix against current leases and their expiration timelines. Identify:
Must-keep tenants. Strong performers with growing traffic and high cross-visitation. Prioritize renewals and consider offering favorable terms to retain them.
Replace-at-expiration tenants. Underperformers whose leases should not be renewed. Start sourcing replacements 12-18 months before expiration.
Expand or upgrade tenants. Existing tenants whose performance justifies larger footprint or better positioning within the center.
Actively source new tenants. Categories or positioning gaps that require new leases. Target tenants whose foot traffic at comparable centers suggests they would thrive in your property.
Step 5: Measure and iterate
After executing mix changes, track the center’s performance: total foot traffic, cross-visitation across the new mix, dwell time, and individual tenant performance. The initial optimization is not the end — it is the start of ongoing management.
Category mix considerations
Dining as a traffic driver. Restaurants and QSRs typically generate higher visit frequency than apparel or specialty retail. A healthy center dedicates 15-25% of leasable area to dining, strategically positioned to create flow between retail and food. PassBy’s data on restaurant foot traffic patterns helps identify which dining concepts would perform at a specific center. See restaurant site selection.
Entertainment and experiential. Movie theaters, fitness studios, and entertainment venues create destination traffic that retail alone cannot generate. These tenants often have longer dwell times than retail, increasing the window during which visitors might shop at other tenants.
Service tenants. Dry cleaners, nail salons, banks, and similar services create frequency traffic: customers who visit the center routinely for a specific errand and may stop at adjacent retail. Service tenants are often undervalued in mix discussions because their individual traffic volumes are modest, but their contribution to visit frequency and cross-shopping is significant.
Anchor strategy. Traditional anchor tenants (department stores, grocery, big-box) remain important but are not the only option. A strong boutique fitness concept, a flagship specialty retailer, or an experiential entertainment venue can function as an anchor in the modern retail environment. PassBy’s mall data shows community centers growing 1.22% YoY while super-regional malls decline, suggesting that anchoring strategies built around daily-use and experiential tenants are outperforming traditional department-store anchoring.
For the full mall foot traffic context, see mall foot traffic data.
Getting started
PassBy’s Almanac platform provides the data that powers tenant mix optimization: foot traffic for every tenant in the center and for comparable centers, cross-visitation analysis, demographic and psychographic profiling, and historical trajectory for performance benchmarking. Landlords, REITs, and developers use this data to evaluate both current tenants and prospective new ones.
For property teams running their first data-driven tenant mix review, the Test & Learn tier provides 90 days of Almanac access. See pricing →
FAQ
What is tenant mix optimization? Tenant mix optimization is the process of selecting and balancing the retailers, restaurants, and services in a shopping center to maximize total property traffic, visitor dwell time, and cross-shopping. It involves category balance, brand quality within category, and spatial and temporal flow across the property.
How do you measure a good tenant mix? Key metrics include total center foot traffic relative to comparable properties, cross-visitation rates between tenants, daypart coverage (hours of the day when traffic is strong), demographic diversity of visitors, and individual tenant performance trajectory. A healthy mix shows high cross-visitation, broad daypart coverage, and growing or stable traffic across most tenants.
What makes two tenants good co-tenants? Strong cross-visitation between them is the most direct indicator. Cross-visitation data shows what percentage of one tenant’s visitors also visit the other. Pairs with 30%+ cross-visitation reinforce each other. Complementary daypart patterns, shared but non-competing customer demographics, and compatible brand positioning also contribute to a successful co-tenancy.
How often should landlords review tenant mix? Quarterly performance reviews (traffic trends, cross-visitation changes), annual full mix assessments (category balance, gap identification), and lease-event driven decisions (every renewal and every expiration). Proactive mix management, not reactive backfilling, is what separates top-performing properties from average ones.
How is tenant mix optimization different from leasing? Leasing is the transaction of finding tenants and executing agreements. Tenant mix optimization is the strategy that determines which tenants to pursue and which to let go. Optimization sets the priorities. Leasing executes them.