HCL Concerts is considered as India’s biggest & longest running live Indian music platform. It is 23 years old with 1500+ artists and more than 75 million Viewers. It is a collection of the finest & most diverse Indian classical music, including more than 800 hours of soulful music, created & recorded by 500+ musicians.
It’s an OTT musical platform where users can listen to soothing Carnatic and Indian classical music. They can also get a live streaming option for an ongoing classical concert and listen to the classical melodies as per their taste and consumption history.
Problem
User wanted auto suggestive search for classical songs by artists & genres
There wasn’t any recommendation engine in place, which affected the User engagement since users were not able to get auto suggestions based on their taste and consumption history.
Client wanted to run User Acquisition campaign & expand their User Base
The client had a hybrid app where the front-end wasn’t structured properly hence it had stability & scalable issues. In fact, users could not even update the latest version of the app.
The major issue in the backend architecture of the app was in the design which increased its infra cost which will further increase as we acquire more users.
Our Approach
MoEngage will allow the admin to track the user behaviour on the application and assist them to listen to songs as per their choice.
The App was integrated with the desired marketing platforms such as (MoEngage, Appsflyer, Facebook Analytics).
Re-architected both iOS & Android app, CMS & Backend to scale it up for the marketing needs of the brand.
Redesigned the app into native tech stack without affecting their current/ongoing user base.
Backend Infrastructure was redesigned in order to avoid using extra managed services. Resources were also customarily created by eliminating the extra managed services.
Elastic Search, Logstash & Kibana tech stack was implemented within the architecture to allow the user to search for the server-side tags, thus reducing their search time.
An end-to-end product was developed with an Elasticsearch feature that assists users to search songs by artists & genres
AWS managed services for CDN, CloudWatch for Monitoring Services.
Predictive Analysis was implemented via a recommendation engine, which assisted the platform to recommend songs to the users as per their interest and listening pattern.
Benefits
App has been integrated with a smooth search; users can easily search for the songs by artists & genres.
Receive personalized recommendation for latest concerts, trending & newly released songs.
Users were able to run the desired user acquisition & engagement campaigns. Thus, resulted in growing the user base upto ~2.5 times.
Cost for the managed services were significantly brought down to ~60%
Clients can effortlessly update the latest versions of the app and get a native experience with their new features.