Video summary
311 млн рублей УБЫТКА. На чём на самом деле зарабатывает Дринкит?
Main summary
Key takeaways
Business model & strategy: why Drinkit exists
Category choice & thesis (Dodo Brands → coffee)
- Dodo Pizza demonstrated advantages in IT + franchising + operations.
- Coffee was selected because it offers:
- High consumption frequency & retention (coffee can be bought daily / multiple times).
- Global product familiarity, supporting international expansion.
- Despite the “crowded market” narrative, CEO Fyodor Ovchinnikov believed Russia was underserved in the mid-price chain segment.
Market entry logic (from “oversaturated” to “free locations”)
- Outlet opportunity estimates:
- ~800 locations in Moscow
- ~2,000 across Russia
- Competitive reality:
- Fast food is dominated by major brands.
- In coffee, the mid-price segment still allowed space for a large system.
Strategic goal: “become a Russian Starbucks”
- Ambition includes:
- Rapid location scaling
- Building a repeatable operating system (not just a cafe concept)
Product/ops playbook: redesign the customer journey (and remove friction)
Key insight: quality isn’t enough—remove annoying steps
Breakthrough growth comes less from improving coffee quality alone and more from eliminating friction in ordering:
- Eliminate queue
- Eliminate verbal ordering under pressure
- Reduce intrusive upselling
- Stabilize predictable wait time
“All orders online” operating system
- Core idea:
- Make the app the primary/only entry point
- Customer promise:
- Order on phone and receive drink in ~3–5 minutes
Data-driven format evolution
- Early stores reached only ~40–60% online orders (internally treated as a failure).
- Reason: the system had to run two parallel processes (cashier + digital), increasing complexity and cost.
- Operational bottleneck:
- If a physical queue exists, demand is constrained and customers over-order.
- Outlets sometimes accepted more than they could prepare, causing waits up to ~1.5 hours.
Digital-first implementation framework (process + architecture)
Test-and-learn sequence
- 2020: first concept store (Omega Plaza, business center) → operating profit within 6 months
- 2020–2022: scale tests
- Issues emerged when online share wasn’t high enough
Radical process/space redesign: Poklonka “fully digital outlet”
- Removed cashier from the hall.
- Redesigned layout and production interfaces.
- Introduced:
- Self-service kiosks for newcomers
- A “Borista” assistant who guides the interface but doesn’t take verbal orders
- Finished drinks placed on a digital platform (name/number)
- Result: 100% online ordering
App personalization
- Customization options:
- coffee/tea, milk type, toppings/foam/syrups
- temperature and lid choice
- Live updates:
- price and calorie changes
- Convenience:
- save favorites for 1-click reorders
Concrete results (Poklonka pilot)
- ~600–700 orders per shift in the first month
- ~3.4 million rubles revenue in the first month
- Completed shift to digital ordering at the store (orders moved to the digital channel)
Operations scale: manufacturing and category expansion
Centralized production via own “factory” (started in 2023)
- Manufactured:
- baked goods
- desserts
- porridge
- drink preparations
- Night delivery to stores:
- stabilizes composition/calories
- reduces in-store prep time
Category economics (why food mattered and why it underperformed initially)
- CEO admitted only about 1 out of 15 guests adds baked goods.
- Promotions and “beautiful cards” + recommendations didn’t deliver expected uplift.
- Digital-first UX issue:
- customers can’t smell pastry in-store
- reliance on photos vs aroma reduced impulse conversion
Food contribution metric
- Food sales:
- ~10–15% of turnover in 2025–2026
- up to ~20% in some locations
- Reported average growth: ~20%
- Ongoing investment:
- increase production capacity
- raise food sales share
Franchising & governance: systemization + training + risk-sharing
Franchise value proposition (what franchisees receive)
- “DoD” software connecting:
- app + kiosks + production
- order monitoring, balancing, write-offs
- analytics + shift planning
- Manufacturing facility for food supply
- Architecture/design firm support
- Marketing support and quality control
- Training
Training process
- New franchisees:
- 3 months immersion in operating-system processes
- Then:
- site search + project + construction
- Timeline:
- ~1 year from application to launch (approx.)
- Training materials:
- checklists, forms, simulations embedded in the process
Partner council & experimentation
- Franchisees can propose initiatives.
- Some pilots became network-wide (e.g., a collagen/protein supplements idea that grew from local to system-level).
Franchisee pain points (examples of operational/commercial risk)
Territory/cannibalization disputes
- One partner claims the contract doesn’t clearly define “red zone” to prevent cannibalization.
- Another example:
- if revenue drops by >20%, royalties could be reset to 0
Cannibalization risk is recognized
- Outsiders may see growth pace as unsustainable.
- Management view:
- some overlap can be necessary for scale/brand presence.
- Plan:
- develop rules so openings happen only when economics make sense.
Growth metrics, targets, and financial signals (KPIs)
Scale & geographic footprint
- >250 locations across Russia, Kazakhstan, UAE, USA
- ~70% franchised
Traffic/retention
- Customer retention: ~63%
- Repeat visits:
- ~80% of guests come about 5 times/month
- Top loyal segment: 20+ times
Pricing & margin strategy
- Example price:
- cappuccino ~350 rubles in 2026
- Positioning rationale:
- not a discounter (can’t rely on low-quality/high-volume alone)
- not a premium markup strategy either
- Margin levers:
- automation reducing labor cost (cashier-free flow)
- centralized procurement from the own factory
- digital ordering not constrained by terminal throughput
- saved recipes increase repeat usage
Financial performance
- Reported open data:
- revenue >1 billion rubles for “year 25”
- net loss: 311 million rubles
- Earlier plan:
- break even and scale to 3,000 stores by year 28
- More conservative leadership view:
- target around ~1,000 stores by age 30
Investment requirement & payback
- Full outlet investment: ~15–25 million rubles
- Payback:
- Moscow: ~3 years
- some regions: up to ~10 years
Marketing & brand management: reach vs conversion risk
- Low marketing during early growth; later increased campaigns.
- Influencer campaign (Sasha Spielberg, summer 2026):
- seasonal collection collaboration
- result: online backlash (high attention but polarized); comments disabled after a hate wave
- Takeaway:
- reach isn’t enough—the brand must convert attention into store visits
- “cost of attention” can include reputational risk
International & market expansion (high level)
- Expansion mentioned into:
- US and UAE markets
- The app/ordering system is positioned as a scalable “digital wrapper around ordinary coffee,”
- but emphasis remains on execution via:
- standardized operations
- customer experience
Key frameworks / playbooks mentioned or implied
- Unit economics via operational automation
- Replace staff bottlenecks with app + kiosks + centralized production
- Use digital ordering to stabilize capacity planning
- Test-and-learn scaling
- Start with a pilot → measure online share and operational constraints → redesign → re-pilot
- Digital-first service design
- “App is the main entry point” + target predictable preparation time (3–5 min)
- Franchise operating system onboarding
- 3-month immersion with embedded checklists/forms/simulations
- Governance via partner experimentation
- Franchisee council pilots → network-wide rollout when validated
- Risk-sharing / incentives
- Tiered royalties tied to revenue (with potential royalty reset if revenue drops sharply)
Presenters / sources
- Gleb — host/entrepreneur; narrator of the analysis
- Fyodor (Fedor) Ovchinnikov — Dodo Brands / CEO; strategy and ordering-system logic
- Nastya Nikitina — creator/founding force behind the original Drinket brand; product/branding expertise
- Alexander Umarov — mentioned as adjusting break-even/scale expectations
- Sasha Spielberg — influencer used as Drinkit seasonal campaign face
- Referenced external brand: Luckin Coffee (China app-based ordering model)
- Mentioned service/tool source: Pohali (example of building apps without developers; promo code GL mentioned)
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