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Charcoal Eats

Charcoal Eats

Biryani, North Indian, Rolls, Kebab

Managing Scale at Enterprise Level

Managing Scale Without Margin Leakage

Brand Rating

0.0

Within a Year

Revenue Growth

0×

Within a Year

Stores Expansion

0+

In 3 Cities

User Retention

0%

Within a Year

Structured Growth Playbook

Phase 1Fragmentation

Diagnostic & Stabilisation

Conducted complete outlet-wise audit analysing ratings, AOV, and ad efficiency. Restructured discounts into high-margin combos and fixed low-rated outlets.

Phase 2Standardization

Growth & Margin Optimization

Shift from discount-led growth to AOV-driven expansion by introducing strategic combos, add-on bundling, and targeted campaign participation based on ROI. Strengthen organic ranking through keyword optimisation and rating protection while improving ad efficiency. The objective is to increase order volume and repeat frequency without compromising contribution margins.

Phase 3Optimization

Scalable Expansion

Standardise successful playbooks across all outlets and replicate high-performing strategies in new locations with controlled CAC and strong rating seeding. Gradually reduce aggregator dependency by building repeat retention, CRM activation, and direct ordering incentives. The goal is to create a scalable, margin-protected growth engine that supports long-term brand equity and expansion.

The Challenge

Managing 100+ Restaurant IDs across multiple cities presents unique challenges in balancing aggressive growth with sustainable profitability. Maintaining visibility without over-relying on deep discounts in a crowded biryani market requires precise analysis. Ensuring consistent ratings and adapting to algorithms across a massive network added complexity.

The Solution

We implemented a structured framework that reduces discount dependency while strengthening organic performance. Outlet-level dashboards track ratings, preparation time, and contribution margins in real time. Standardised operational SOPs protected rating consistency across locations, while campaign participation was calibrated based on ROI rather than visibility alone.