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Mobile App Development · Retail & Shopping

Building a Deals Finder App That Increased Daily Active Users

A fast-growing retail technology startup partnered with us to develop an intelligent deals finder application that helps users discover the best discounts, cashback offers, coupons, and promotional deals from multiple retailers in one place. Powered by AI-driven personalization and real-time deal aggregation, the platform significantly increased daily active users, customer engagement, and repeat app usage.

Deals Finder App AI Recommendations Coupon & Cashback Platform Mobile App Development
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Deals finder app for increased daily active users
55%
Increase in Daily Active Users
55%
Increase in Daily Active Users
✓ Achieved
40%
Higher User Engagement
✓ Achieved
3X
Growth in Repeat App Visits
✓ Achieved
65%
Increase in Deal Redemption Rate
✓ Achieved

Helping Shoppers Discover the Best Deals Instantly

The client wanted to build a mobile platform that aggregates deals, coupons, cashback offers, and flash sales from multiple online retailers. The objective was to simplify deal discovery while providing personalized recommendations based on user interests, shopping behavior, and location.

The retail technology market was highly competitive, with shoppers overwhelmed by fragmented deals scattered across numerous e-commerce platforms. The startup needed to differentiate by creating a seamless, personalized deal discovery experience that would drive daily engagement and repeat usage. Success required intelligent deal aggregation, AI-powered personalization based on user preferences and shopping history, real-time offer updates and price tracking, location-aware recommendations for local retailers, smart push notifications without fatigue, gamification elements to boost retention, seamless mobile performance at scale, and robust analytics to optimize the platform. A comprehensive mobile application with deal aggregation APIs, recommendation engine, personalization algorithms, notification system, user engagement features, and real-time analytics would enable rapid user acquisition, strong retention, higher deal redemptions, merchant partnerships, and competitive market positioning.

Industry
Retail Technology & E-commerce
Solution
AI-Powered Deals Finder App
Deal Aggregation
Centralized platform for coupons, cashback, and discounts.
Personalized Recommendations
AI-powered suggestions tailored to user preferences.
Real-Time Updates
Instant notifications for price drops and new offers.
User Engagement
Loyalty programs and rewards driving repeat usage.
Deals discovery mobile platform

Making Deal Discovery Faster and More Personalized

Consumers often browse multiple shopping websites to compare offers, resulting in a fragmented shopping experience. The startup needed a centralized platform capable of aggregating deals in real time while delivering personalized recommendations and timely notifications.

01
Fragmented Deal Sources
Offers spread across multiple e-commerce platforms.
02
Low User Retention
Users rarely returned without compelling new offers.
03
Generic Recommendations
Same promotions to every user reduced engagement.
04
Real-Time Deal Updates
Platform needed continuous refresh of deals and offers.
05
Notification Fatigue
Sending irrelevant alerts reduced customer engagement.
06
Scalable Infrastructure
Supporting thousands of users during peak shopping events.

Root Causes Identified

  • Lack of centralized deal aggregation platform
  • Absence of AI-powered personalization
  • Inadequate deal recommendation algorithms
  • Generic notification strategies without personalization
  • Limited user engagement and retention mechanisms
  • Fragmented deal discovery and comparison experiences

AI-Powered Deals Discovery Platform

Mobile App & Retail Tech

We developed a cross-platform mobile application that aggregates deals from multiple sources, categorizes offers intelligently, and uses AI to recommend the most relevant discounts based on user behavior, purchase history, browsing activity, and preferences.

Deals finder platform architecture
Powered By
React Native & Cross-Platform Development
AI Recommendation Engine
Real-Time Deal Aggregation APIs
Cloud Infrastructure & Analytics

Core Components

Deal Aggregation Engine
Collect deals from multiple retailers in real time.
AI Recommendation Engine
Personalize deals based on behavior and preferences.
Smart Search & Filters
Help users discover offers by category, price, and location.
Personalized Notifications
Send targeted alerts for relevant offers and price drops.
User Rewards & Engagement
Loyalty programs and referrals to boost retention.
Analytics Dashboard
Track engagement, redemption, and campaign performance.

A Structured 5-Phase Mobile App Development

The deals finder application was developed through a phased approach focused on discovery, design, development, testing, and launch optimization.

1
Discovery & Planning
  • Analyze business goals and target audience
  • Define deal aggregation workflows
  • Prioritize MVP features and user journeys
2
UI/UX Design
  • Design intuitive mobile experiences
  • Create personalized navigation and deal discovery flows
  • Validate design with user research and prototypes
3
Application Development
  • Develop cross-platform mobile application
  • Integrate retailer APIs and deal feeds
  • Build recommendation engine and notifications
4
Testing & Optimization
  • Test app performance and scalability
  • Validate recommendation accuracy and engagement
  • Optimize search, notifications, and features
5
Launch & Continuous Improvement
  • Publish on Android and iOS app stores
  • Monitor engagement and app performance
  • Continuously improve using behavioral analytics

Before vs. After

From fragmented deal hunting to personalized, centralized deal discovery driving daily engagement.

Before
Users searched multiple shopping websites
Generic promotions to all users
Low daily engagement
Manual coupon searches
Minimal user insights and analytics
After Transformation
Centralized deals discovery platform
AI-powered personalized recommendations
Higher daily active users and engagement
Automated deal aggregation and updates
Real-time engagement and analytics insights

Driving User Engagement Through Personalized Shopping Experiences

Deliver relevant deals that encourage daily app returns
Boost repeat visits through personalized recommendations
Help users find relevant offers quickly through smart search
Increase merchant visibility and partnership opportunities
Scale user base with expandable merchant partnerships

"The deals finder app transformed how users discover offers on our platform. AI-powered recommendations and personalized notifications significantly increased daily active users, engagement, and deal redemption rates while helping merchants reach the right customers."

Chief Product OfficerRetail Technology Startup

Build a Deals Finder App

Launch a feature-rich deals finder application powered by AI, personalized recommendations, and real-time offer aggregation to increase user engagement, customer loyalty, and revenue.

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