The Same Discount, a More Relevant Audience: Introducing PerfittTarget
A shoe can sell well and still leave a few sizes on the shelf. A navy loafer might be sold out in 240 and 245 while 230 and 250 remain. Another discount email will reach plenty of people who cannot wear either size.
PerfittTarget is designed around a more useful starting point: connect the shoes available to sell with customers whose fit information suggests a suitable match. The offer can stay the same while the audience becomes more relevant.
The timing matters. Adobe's 2026 peak-season guide projects US online spending of $275.1 billion for November and December, up 6.7% year over year. These are forecasts, not completed holiday sales. For footwear retailers preparing promotions, the practical challenge is the stock available in each individual size.
AI-generated editorial image illustrating remaining footwear stock.
Start with the sizes that remain
Consider this invented example. It describes one model in one color, not a retailer's actual inventory or a Perfitt customer result.
Model and color | Size label | Illustrative availability |
|---|---|---|
Loafer A, navy | 230 | Available |
Loafer A, navy | 240 | Sold out |
Loafer A, navy | 245 | Sold out |
Loafer A, navy | 250 | Available |
A “30% off loafers” email could go to every subscriber. A more focused approach would show the offer to customers who have agreed to receive marketing and whose available fit information is compatible with a size still in stock. The discount is illustrative too.
A saved “usual size” can help, but it does not describe how every shoe fits. The same shopper may need a different size in another model. Foot measurements, fit preferences and the characteristics of the particular shoe can make the comparison more specific. Compatibility is still guidance, not a guarantee of comfort or a reason to ignore style preferences.
How PerfittTarget is designed to work
PerfittTarget extends Perfitt's foot-and-shoe approach into customer targeting. Its product design has four stages:
Analyze fit information. Compare available customer fit profiles with the characteristics of the footwear.
Identify relevant audiences. Find groups whose sizing needs and fit preferences align with selected models.
Build fit-based segments. Organize eligible customers into groups useful for a specific offer.
Support marketing activity. Make those audience insights available for supported personalization and marketing channels, subject to privacy and consent requirements.
Conceptual explanation of the product design, not a screenshot or proof of a live CRM integration.
For the leftover-size example, the retailer would first select the model, color and available sizes. Fit-based matching could then help identify a relevant audience. The retailer would use only a confirmed, supported route to its marketing system. Email, app notifications, loyalty messages and advertising are possible channels to evaluate; support must be established for the retailer's setup.
Make the offer useful when it arrives
The message needs to lead to the exact shoe and an available size. A matching process loses its value if the product sells out before the campaign is sent. Inventory checks, the timing of audience updates and the handling of sold-out options therefore belong in the campaign plan.
Customer permissions matter just as much. Information collected for size advice should not automatically be reused for marketing. The team needs to confirm the permitted purpose, apply opt-outs, limit the information transferred and use an appropriate customer identifier. Customers with missing or unsuitable fit information should not be treated as confirmed matches.
A first trial can stay focused on a small group of models and one supported channel. Compare eligible customers who receive the offer with a comparable holdout group. Track orders, margin after the discount, subsequent returns and unsubscribes over a defined period. Higher sales alone would not establish that targeting caused the improvement.
A different use for fit information
PerfittSize helps a shopper choose a size for a particular shoe. PerfittTarget is designed to help a brand identify the customers for whom a particular shoe may be relevant. That is the connection between fit advice and a remaining-size promotion.
The commercial opportunity is more relevant communication about shoes already available to buy. Results need to be tested with the retailer's own products, permissions and campaign setup; this introduction does not claim measured sell-through gains or an automatic inventory-to-CRM connection.
Request a size-stock targeting feasibility review to discuss the models, fit information and marketing channel your team wants to use.