A more precise approach to influencing behavior, improving ROI, and protecting margins
Every customer faces some kind of friction — something that stands in the way between them and a transaction. Sometimes it’s price perception. Maybe it’s habit or convenience.
Blanket promotions try to overcome this friction by treating every customer the same. The result is that customers who were already loyal get unnecessary discounts. Meanwhile, others who need a stronger incentive remain unmoved.
Traditional offers like those are inefficient, eating away at margins without a guaranteed return. Personalized promotions change that.
Instead of treating every consumer the same way, Upside’s personalized, cash-back promotions match each offer to the individual. They give just enough incentive to drive the visit, and only when needed. Here’s how we do it:
Upside starts by using transaction data to understand how customers actually behave. That means we consider each customer’s visit frequency, spend levels, timing, and responsiveness to prior offers, among other factors. This means Upside can move beyond assumptions and broad segmentation, meeting each individual where they are.

Once Upside understands the customer, the offer engine evaluates each potential transaction in real time — what level of incentive is likely to influence their decision in that moment.
In addition to the above customer behavior factors, our offer engine incorporates logistics, like their distance from the retail location and the competitive environment around them. Most importantly, it also takes into account each retailer’s margin constraints, ensuring every offer remains profitable.
The result is a personalized, transaction level approach to delivering promotions that reflect both the customer and the context.
Every incentive exists on a spectrum. If it’s too large, it erodes margin unnecessarily. If it’s too small, it fails to influence behavior. The optimal point lies in between, where the incentive is sufficient to change behavior but no larger.
Finding that point is how Upside enables retailers to influence decisions without overpaying for them.
New or infrequent customers often require stronger incentives to try a new location or change an existing habit. As those customers return more frequently, they start to build new habits — and the level of incentive required to sustain that behavior decreases.
Upside’s platform is designed to recognize and respond to that progression, helping retailers build lasting, repeat behavior and reduce reliance on incentives over time.
Learn more about how Upside changes customer behavior to help retailers win uncommitted customers.
A defining characteristic of Upside’s model is that retailer profitability is built into the system from the beginning.
Every promotion is constrained by the retailer’s margin guardrails and provides a precision that isn’t possible with broad-based discounting. Because each offer is calibrated to drive incremental behavior, retailers never pay for transactions that would have happened anyway.
At its core, Upside’s model works because it aligns value on both sides of the transaction. Retailers benefit from incremental, profitable transactions. Consumers, in turn, receive offers that are relevant to their preferences and circumstances.
Want to learn more about how Upside’s personalized promotions drive real, measurable business growth? Reach out to our team.
Upside’s personalized promotions use anonymized transaction data and machine learning to determine the most profitable incentive that will influence each individual customer’s behavior. For every potential transaction, Upside evaluates factors like past behavior, offer sensitivity, location, and competition to generate a real-time, individualized offer that is designed to drive incremental, profitable visits.
Every Upside promotion operates within retailer-defined margin guardrails. The platform calculates the appropriate incentive based on those constraints, ensuring that offers are designed to remain profitable. Because promotions are targeted to drive incremental behavior, retailers only pay for transactions that would not have happened otherwise.
Traditional promotions apply the same offer to all customers, regardless of their likelihood to respond. Upside’s personalized promotions tailor incentives to each individual, which reduces wasted spend and increases effectiveness. By delivering the “just-right” offer, retailers can influence behavior without over-discounting.
Upside does not use personally identifiable information. The platform relies on anonymized transaction data such as partial card information to understand behavior patterns. This approach allows Upside to deliver highly personalized promotions while maintaining strong data privacy and security standards.
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