Where the Starbucks app’s growth is hiding

Starbucks can grow by turning its app from a checkout tool into a daily ritual.

• The situation

  Starbucks takes 48% of U.S. coffee-shop spending, and Rewards members already drive 58% of U.S. store sales.

• The catch

  Yet 69% of transactions still aren’t mobile orders, and people use the app to pay, not to discover or plan.

• The fix

  Build habit-forming features first, then manage to one metric: Weekly Active Ritual Orders per User.

Nearly half of U.S. coffee-shop spending, but only about 3 in 10 orders placed ahead in the app.

• 31%of transactions are mobile orders
• 58%of U.S. store sales come from Rewards members
• 35M+active Rewards members, an all-time high

Key takeawayThe growth isn’t new customers. It’s moving visits Starbucks already has into the app.

Source: Technomic (2025); Starbucks Q4 FY25 investor dashboard

Three ways to make ordering predictive and personal.

The target outcome: grow mobile revenue and habit-driven visits by making the app a predictive, personalized daily ordering platform. I mapped it as an opportunity solution tree, with a test for each branch.

• A

  Routine automation

  Nothing can be scheduled, and ordering ignores routine and context.

  Test: a “Schedule this weekly?” prompt after checkout

• B

  Health-aware customization

  Health preferences aren’t saved, and healthy choices get no guidance.

  Test: auto-applied modifiers vs. manual customizing

• C

  Personalized recs and deals

  Offers ignore behavior, and the full menu overwhelms discovery.

  Test: a personalized offer vs. a generic coupon

The features that build habits score highest.

I scored ten features with RICE (Reach × Impact × Confidence ÷ Effort). The top three all make the next order faster than the last; paid line-skipping lands near the bottom.

An app that turns one order into a weekly ritual.

I prototyped the redesigned app and rebuilt it in code as a working app: pick who’s ordering, reorder your usual in one tap, find your next favorite by mood, weather and events, schedule it as a ritual, and watch your rewards grow.

Success is weekly ritual orders, not downloads.

From the business model to a working prototype.

• Mapped the business with a Business Model Canvas, Value Proposition Canvas, Product Vision Board and Opportunity Solution Tree
• Prioritized ten new features with KANO analysis and RICE scoring, then sequenced them into a phased roadmap
• Wrote an Amazon-style working-backwards memo and prototyped the redesigned app screens
• Invented a north star metric, WARO, with the KPI tree behind it