Teardowns
The score, all five dimensions and the finding are public. The full read is for members.
Starbucks Rewards
The global benchmark: an app that captures everything, a streak mechanic that builds habit, and a stored-value balance that funds the program.
PC Optimum
A first-party data trove resolved at scale, monetized by a media network that comfortably outearns the cost of the reward.
Sephora Beauty Insider
An aspirational status mechanic that brings members back by desire, funded by a product margin that absorbs the reward.
Scene+
A coalition that works where most fail: data spans grocery, banking, and entertainment under a single currency.
Metro & Moi
High-quality grocery data held back by a media monetization that’s nowhere near its potential.
Tim Rewards
Daily frequency that generates rare habit data, paid for by a reward that weighs heavily on margin.
SAQ Inspire
Exceptional category data, capped by a public mandate that limits both monetization and the aggressiveness of the mechanic.
Nectar
A vast legacy base whose value stays locked: coalition heritage and a modest activity rate hold activation back.
Air Miles
A legacy coalition whose data sleeps and whose margin leaks: dented trust, high redemption friction, weak relevance.