How Zomato Can Become a Daily Habit: A Product Strategy for Tier-1 Cities

Overview

Food delivery has evolved far beyond convenience.

For millions of urban consumers, apps like Zomato have become the default solution for busy workdays, late-night cravings, weekend gatherings, and everyday meals.

However, as the food delivery market matures, the next phase of growth is no longer driven by acquiring new users. The real challenge is increasing engagement, retention, and ordering frequency among existing users.

While analyzing Zomato’s food delivery experience in Tier-1 cities, I explored a simple but important question:

How can Zomato evolve from a transactional platform into a habit-forming product that users rely on daily?

This case study focuses on identifying user friction points, analyzing behavioral patterns, and proposing product initiatives that improve retention, increase order frequency, and create long-term customer loyalty.

The Problem

Despite being one of India’s leading food delivery platforms, Zomato faces a challenge common to most mature consumer products:

Users order food occasionally, but not consistently.

Industry estimates suggest that active users currently place approximately 3.2 orders per month, while retention among new users remains around 38%. Many users drop off after their first few orders, and a large segment remains highly dependent on discounts.

This creates a growth ceiling.

To unlock sustainable growth, Zomato must focus on creating habits rather than simply processing transactions.

Defining Success

Before proposing solutions, I first defined the primary business objective.

CY2026 Objective

Build the most habit-forming food delivery experience in Tier-1 cities by delivering a highly personalized, reliable, and engaging end-to-end experience that users rely on daily.

To measure success, I selected a North Star Metric that captures both engagement and retention.

North Star Metric

Monthly Orders Per Active User (MOAU)

This metric reflects how frequently users engage with the platform and how often they return over time.

Supporting metrics include:

• Orders per Active User
• 30-Day Retention Rate
• On-Time Delivery Rate

Together, these metrics balance growth, customer experience, and loyalty.

Key Growth Opportunities

After analyzing the customer journey, I identified four major opportunities.

1. Increase Monthly Order Frequency

Current average order frequency is approximately 3.2 orders per user per month.

The target is to increase this to 4.5 orders per month, representing nearly 40% growth in engagement.

One major reason users order less frequently is decision fatigue.

When users open the app, they are often overwhelmed by hundreds of restaurant options and thousands of menu items.

Proposed Solution

I proposed an AI-Powered Personalized Discovery Feed that dynamically adapts based on:

• Order history
• Time of day
• Day of week
• User preferences
• Local trends
• Weather and contextual signals

Instead of browsing endlessly, users immediately discover relevant recommendations tailored to their situation.

The goal is simple:

Reduce decision-making effort and increase ordering frequency.

2. Improve Retention Through Habit Loops

Industry benchmarks indicate that food delivery retention typically ranges between 35% and 40%.

My objective was to increase Zomato’s 30-day retention rate from 38% to 50%.

Many successful consumer products use behavioral design to create habits.

Food delivery platforms can do the same.

Proposed Solution

I introduced a Habit Loop Builder strategy combining:

• Order streaks
• Personalized rewards
• Smart notifications
• Loyalty-based progression systems

For example:

Users who order three times within a week unlock free delivery rewards or exclusive perks.

This creates positive reinforcement and encourages repeat ordering behavior.

The goal is not just more transactions.

The goal is making repeat ordering a habit.

3. Reduce Checkout Friction

The funnel analysis revealed one of the biggest conversion leaks:

Checkout

Approximately 35% of users abandon the checkout process due to payment friction, delivery fees, unexpected costs, or excessive steps.

Even after users have selected their food, many fail to complete the purchase.

Proposed Solution

A One-Tap Checkout Experience that:

• Saves payment preferences
• Auto-fills delivery addresses
• Recommends smart order combinations
• Minimizes checkout steps

The objective is to reduce checkout drop-off from 35% to 20%, increasing completion rates by approximately 43%.

Sometimes growth doesn’t require acquiring more users.

It simply requires removing friction.

4. Improve Delivery Reliability

Trust is one of the strongest drivers of retention.

Current on-time delivery performance stands at approximately 82%.

The target is to improve this to 92%.

Users may tolerate occasional delays, but inconsistent experiences eventually reduce trust.

Proposed Solution

A Predictive Delivery ETA Engine powered by:

• Traffic intelligence
• Kitchen load forecasting
• Rider availability
• Demand prediction models

The system proactively adjusts ETAs and notifies users before delays occur.

Reliable experiences create confidence.

Confident users become repeat users.

Funnel Analysis: Where Users Drop Off

One of the most interesting insights came from analyzing the food delivery funnel.

The largest leakage occurs during:

Discovery Stage

Users often struggle to quickly find relevant options.

Too many choices lead to decision fatigue.

Checkout Stage

Unexpected pricing, delivery charges, taxes, and payment friction cause abandonment.

According to the analysis, improving these two stages alone could unlock approximately 10–15% conversion improvement.

This highlights an important product principle:

Growth often comes from fixing friction before adding new features.

Cohort Analysis: Understanding Different User Behaviors

Not every user behaves the same way.

To identify targeted solutions, I analyzed three key cohorts.

New Users vs Repeat Users

Many users drop off after their first or second order.

The primary issue is expectation mismatch.

Marketing promises convenience, but delays and unexpected costs sometimes reduce trust.

Opportunity

Introduce a First 3 Orders Premium Experience with guaranteed delivery times and no surge fees.

Building trust early significantly improves the likelihood of repeat usage.

High-Frequency vs Low-Frequency Users

Users placing 4+ orders per month are generally convenience-driven.

Low-frequency users, however, are more price-sensitive and perceive a higher cost per order.

Opportunity

Launch subscription-based offerings similar to Zomato Gold that clearly demonstrate value through free delivery and exclusive deals.

Discount-Driven Users

Research suggests that over 60% of food delivery users are discount-driven.

These users frequently churn when discounts disappear.

Opportunity

Shift from flat discounts toward personalized value through:

• Loyalty rewards
• Priority delivery
• Exclusive member benefits

This creates stronger retention while reducing dependence on discounts.

Final Strategic Direction

For Zomato’s next phase of growth, the focus should move beyond transactions and toward behavioral engagement.

The strongest opportunities lie in:

• Making food discovery faster and smarter
• Removing checkout friction
• Building habit loops through gamification
• Delivering highly reliable experiences

When personalization, behavioral design, and operational excellence work together, they create a powerful competitive advantage.

Even a 10–15% improvement in retention and ordering frequency can generate disproportionate revenue growth because repeat behavior compounds over time.

Key Takeaway

The future of food delivery is not about helping users order food.

It’s about becoming the platform they instinctively open whenever they think about food.

The companies that win will not be those with the most restaurants.

They will be the ones that build the strongest habits.