Number of Seats/Users: Footprints for Retail offers discounts based on the number of users or seats. A higher volume typically leads to a better discount structure, especially for enterprise-level usage.

Commitment to a Long-Term Contract: Discounts are often provided to companies that commit to using the service for a longer period (e.g., 1-year or 3-year contracts). A longer commitment shows Footprints for Retail that the company is serious and willing to invest in the platform long-term.

No Active Discounts: Companies that are not already receiving other active discounts may have a better chance of qualifying for additional discounts from Footprints for Retail. Footprints for Retail reserves discounts for new customers or those not currently under promotional pricing.

Volume or Usage Commitment: Footprints for Retail offers discounts if you agree to a minimum amount of usage or transaction volume. This could be based on data storage, transactions, or other metrics tied to how much you will use the platform.

Enterprise-Level Negotiation: Companies that qualify as “enterprise” due to their size or complexity (e.g., having large teams, multiple departments, or geographical presence) may be eligible for additional discounts from Footprints for Retail. Such companies are often in a position to negotiate for better pricing.

Early Renewal or Prepayment: Footprints for Retail often offers discounts if you renew early or prepay for the entire contract period. This is a common approach to securing a lower price.

Here at Spendbase our internal data shows that Footprints for Retail performs very strongly for most Spendbase clients, especially those running shopping centers and larger retail properties.

Overall sentiment
– Average rating across the most engaged feedback: around 4.8 / 5
– Clients highlight both revenue growth potential and better marketing efficiency.

Key value drivers our clients talk about
– Behavioral insights:
– Deep profiling of physical shoppers and their paths in malls.
– Ability to anticipate “next move” and adjust campaigns and tenant mix.
– Data monetization:
– Turning foot traffic into a recurring revenue stream by selling insights to tenants and partners.
– Shifting mindset from “rent-only asset” to “data-generating asset.”
– Omnichannel intelligence:
– Strong at merging offline behavioral data with online data.
– Helps tailor digital campaigns and personalize shopping pages.
– Strategy & experience:
– Seen as core to long-term digital strategy for shopping centers.
– Supports better customer communication and targeted campaigns based on in-mall behavior.
– Ease of use:
– Easy implementation for end users.
– Low learning curve and clear optimization opportunities.

Common friction points
Our internal data also shows a few recurring improvement areas:
– Omnichannel gaps:
– Limited tracking for channels like Google Ads, Facebook, and Instagram.
– Ongoing optimization:
– Clients see it as a living project that needs continuous tuning with the vendor.
– Technical flexibility:
– Developer API is appreciated but could offer more customization.
– Scale & accuracy:
– Machine learning accuracy improves with wider rollout; smaller deployments may see less precise predictions.
– Change management:
– Some commercial property owners need to rethink their business model to fully exploit data monetization.

From a Spendbase cost-optimization angle
– Clients report that:
– Better targeting reduces wasted ad spend across channels.
– Data products (insights for tenants/brands) can offset platform costs and even create net-new revenue.
– The “value per square meter” of a property increases when data is monetized, not just rent.

In short, our internal data indicates that Footprints for Retail is best suited for properties ready to invest in a data-first strategy and willing to iteratively optimize the setup to unlock maximum ROI.