Profit increased by +6% with MatchMaker, while personalisation also became easier to execute.

At aQSR brand, the marketing team already used strong lifecycle thinking and rich transaction data. The team was ambitious and full of personalisation ideas, such as offers based on product category preferences or extra discounts linked to a different ordering method.

However, their existing setup still relied on rigid offer buckets and complex tag logic.

Strong ideas were gradually simplified and reshaped to make execution easier, until the logic behind them was lost. That created more work for operations, while the people behind the ideas saw less of the intended effect. Frustration built up on all sides.

Which made the real challenge clear: this was never just about building a better model. The team needed a way to make individual product preferences usable inside the tools they already worked with.

That became MatchMaker.

An always-on personalisation engine that selects the most relevant offers per customer, fits into the existing stack, and refreshes continuously instead of becoming shelfware.

And the commercial effect was visible. For this client, MatchMaker delivered a +6% uplift in profit. Scaled over a full year, that equals over €20MM in additional profit.

Three things made that possible:

•   Start from execution, not from the model
•   Rank offers at customer level, not category level
•   Translate predictions into one simple tag a marketer can use

That is the difference between personalisation as a strategy deck and personalisation as an operating product. We see the same with other clients, where profits increase by an average of 6% after helping over multiple organisations. 

As one Digital & Media Lead put it: “Every second you do not have MatchMaker, you are losing money.”

If this sounds familiar and you want to explore how MatchMaker could work for your organisation, send me a DM.