Case Study

Food Growth

Client : Hudson Chopsticks

Scaling Food Delivery Orders for Hudson Chopsticks

Overview

When Hudson Chopsticks, a popular restaurant located in Greater Kailash (GK), Delhi, first reached out to Wibits, they were looking to scale their online food orders while keeping their Cost Per Order (CPO) low. While they had a strong presence on both Swiggy and Zomato, directing Meta Ads traffic directly to third-party delivery apps created a major tracking roadblock. They needed a clean, trackable customer journey that catered to evening cravings without wasting budget during off-hours.

Scaling Food Delivery Orders for Hudson Chopsticks
At a Glance

Client: Hudson Chopsticks (@hudsonchopsticks)

Industry: Restaurant & Food Delivery

Target Area: Greater Kailash (GK), Delhi (3-mile radius)

Marketing Channel: Meta Ads (Facebook & Instagram)

Monthly Budget: ₹11,000 (including GST) | ₹300 per day

What We Built: Custom landing page, full tracking setup, and a dual-ad set campaign

Main Result: 139 to 280 orders per week across Swiggy and Zomato

Summary

Hudson Chopsticks, a food delivery brand in Greater Kailash, Delhi, partnered with Wibits to get more online orders through Swiggy and Zomato.

By building a custom landing page and running hyper-local Meta Ads, we solved their tracking problems and brought in a steady stream of low-cost food orders.

The Challenge

Promoting a restaurant on Meta Ads comes with a few tricky problems:

The Platform Problem: If you send ad traffic directly to Swiggy or Zomato, you force customers to use only one app. It also makes it very hard to track real sales and see which platform performs better.

Evening-Only Hours: Hudson Chopsticks only operates from 3:00 PM to 12:00 AM. Running ads in the morning would waste money on people who can't order yet.

Tight Budget: With a small budget of ₹300 per day (₹11,000 per month), every single rupee had to bring in real orders.

The Solution

Instead of sending users straight to Swiggy or Zomato, we built a simple, smart funnel:

1. A Custom Landing Page

When users clicked the "Order Now" button on the ad, they landed on a clean, simple page with two clear choices:

  • Order on Swiggy
  • Order on Zomato

This let customers pick their favorite app while giving us one single place to track everything.

2. Smart Ad Timing

We scheduled the ads to run during the restaurant's active hours (3:00 PM to 12:00 AM). This made sure the ads hit people right when they were starting to feel hungry for dinner or late-night snacks.

How We Ran the Campaign
Simple Ad Structure & Budget

We kept the campaign clean and easy to manage by using two ad sets under one main campaign:

Ad Set 1: Finding New Customers (₹200/day)

Goal: Reach new people in Greater Kailash, Delhi (within 3 miles).

Targeting: People interested in Chinese food, noodles, momos, Swiggy, Zomato, and online shopping (Ages 18–65).

Ad Set 2: Retargeting (₹100/day)

Goal: Remind people who already knew the brand.

Targeting: Instagram engagers, Facebook page visitors, video viewers, and recent landing page visitors.

Ad Creatives & Special Deals

Theme: "Cravings Strike in GK"

Visuals: Mouth-watering food pictures and videos meant to grab attention in the first 5 seconds.

    App Deals:
  • Zomato Offer: 50% OFF
  • Swiggy Offer: ₹99 Deals
Full Tracking & Analytics Setup

To make sure we knew exactly where orders were coming from:

  • We installed the Meta Pixel on the custom landing page.
  • We tracked button clicks for both Swiggy and Zomato separately.
  • We used custom tracking links from both delivery apps to confirm actual purchases.
  • We combined landing page data with purchase reports to keep improving the ads.

The Results

By focusing on local targeting, smart timing, and a clear funnel, the campaign delivered solid results on a modest budget:

  • ✓  139 to 280 orders per week generated across Swiggy and Zomato.
  • ✓  Lower Cost Per Order (CPO) by focusing budget only on open hours.
  • ✓  Clear tracking for both Swiggy and Zomato orders.
  • ✓  A proven system the client can keep using to scale their orders.

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