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Advease
Restaurant Technology

🍽️ Case Study: Quesene Restaurant SaaS

TIMELINE

January 15 – March 30, 2023

LOCATION

Mumbai, India (Regional Launch)

SUCCESS METRIC

162 Demos at β‚Ή524/lead

🧩 Background

Quesene is a comprehensive restaurant management SaaS solution designed for Indian restaurants, offering table management, online ordering, inventory control, and customer loyalty features. Despite having a superior product compared to competitors, they were struggling to generate quality leads and convert them into paying customers in a highly competitive market.

🎯 Objective

Generate qualified SaaS demo requests from restaurant owners and managers, and improve the demo-to-paid conversion rate through an optimized sales process.

πŸ›  Strategy Breakdown

1

Hyper-Targeted Meta Ad Campaigns

We created precision-targeted campaigns focusing specifically on restaurant owners, managers, and decision-makers within the Mumbai region.

Implementation Details:

  • β€’Developed custom audiences based on job titles, interests, and competitive tool usage
  • β€’Created ad sets targeting restaurant industry professionals by behavior and role
  • β€’Implemented dayparting to show ads during restaurant off-peak hours when managers would be handling administrative tasks
  • β€’Utilized lookalike audiences derived from current customer data
2

Problem-Solution Landing Pages

Instead of generic product pages, we developed landing pages that directly addressed the top 5 pain points restaurant owners face, with Quesene positioned as the solution.

Implementation Details:

  • β€’Created separate landing pages for different restaurant types (fine dining, casual, quick service)
  • β€’Implemented detailed ROI calculators showing potential savings
  • β€’Added social proof with video testimonials from existing restaurant customers
  • β€’Optimized form length to balance qualification and completion rate
3

WhatsApp Demo Booking System

We implemented a WhatsApp-first approach for demo bookings, allowing restaurant professionals to schedule demos directly through their preferred communication channel.

Implementation Details:

  • β€’Integrated WhatsApp Business API with automatic scheduling links
  • β€’Created pre-demo qualification sequence to identify specific needs
  • β€’Implemented automated reminders and rescheduling options
  • β€’Provided product preview content before the scheduled demo
4

Post-Demo Nurturing Sequence

A comprehensive follow-up system was implemented to nurture leads who attended demos but didn't immediately convert, addressing common objections and providing additional value.

Implementation Details:

  • β€’Created industry-specific case studies showing ROI timelines
  • β€’Developed automated email sequence with progressive feature highlights
  • β€’Implemented special offers for those who completed demos
  • β€’Provided competitor comparison resources and migration guides

πŸ—ΊοΈ Target Market

The campaign specifically targeted restaurant segments in Mumbai with distinct needs and pain points:

🍷

Fine Dining

Highest conversion rate

πŸ”

Casual Dining

Strong engagement

πŸ•

Quick Service

Volume potential

πŸ₯‘

Cloud Kitchens

Emerging segment

🍹

Cafes & Bars

High growth potential

πŸ“Š Results Overview

Demo Requests

162

Show Rate

78%

Conversion

32%

New Customers

42

ROI

3.7x

Revenue

β‚Ή12.6 Lakhs

MetricPerformance
Demo Requests Generated162
Total Ad Spendβ‚Ή85,000
Cost Per Demo Requestβ‚Ή524
Demo Show Rate78%
Demo-to-Paid Conversion32%
New Customers Acquired42
Customer Acquisition Cost (CAC)β‚Ή2,023
First Year Revenue Generatedβ‚Ή12.6 Lakhs
ROI (First Year)3.7x

πŸ’‘ Insights & Takeaways

  • 1

    Restaurant managers responded best to ads shown between 3-5 PM, their typical administrative window.

  • 2

    Fine dining establishments had 2.3x higher conversion rates compared to quick service restaurants.

  • 3

    WhatsApp booking resulted in 38% higher show rates compared to traditional email confirmations.

  • 4

    Leads who interacted with the ROI calculator were 64% more likely to convert to paid customers.

  • 5

    Case studies featuring similar restaurant types to the prospect's business increased conversion by 47%.

🏁 Conclusion

By developing a highly targeted campaign that spoke directly to restaurant pain points, combined with a streamlined demo process and effective post-demo nurturing, we helped Quesene acquire 42 new customers at a significantly lower CAC than industry standards. The campaign demonstrated that for SaaS products in specialized industries, success depends not just on lead volume but on lead quality and a conversion process built around industry-specific needs and constraints.

Services Used

  • βœ“SaaS Product Strategy
  • βœ“Digital Marketing Campaigns
  • βœ“Landing Page Optimization
  • βœ“Lead Nurturing Automation

Ad Objectives

Primary: Lead Generation
Secondary: Brand Awareness

Client Feedback

The Advease team didn't just bring us leads, they brought us the right leads. Their understanding of the restaurant business was evident in every aspect of the campaign, from the ad messaging to the demo process.

β€” Vikram Sharma, CEO of Quesene