GoMechanic's Strategic Use of Branch's Deep Linking Solutions for Enhanced User Engagement and Conversion

Technology Category
- Analytics & Modeling - Predictive Analytics
- Robots - Wheeled Robots
Applicable Industries
- Automotive
- Telecommunications
Applicable Functions
- Procurement
- Sales & Marketing
Use Cases
- Smart Parking
- Vehicle-to-Infrastructure
About The Customer
GoMechanic is India's first startup that operates a network of technology-enabled automobile service centers. It is the only player in an unorganized automobile service market and is present in over 29 cities. The GoMechanic app offers 200+ services across 12 different categories, including car service, spares, and accessories. They have recently launched On-Board Diagnostics, GoMechanic Miles (an annual membership), and new customized services to enhance the driving experience for its users. With over 1 million downloads on the play store and a 4.7+ rating, GoMechanic is focused on its mobile app conversions.
The Challenge
GoMechanic, India's first technology-enabled automobile service network, faced a significant challenge in maintaining a high lifetime value (LTV) to customer acquisition cost (CAC) ratio. The company operates in a market where customers have multiple options to cross-check service quality and pricing, leading to a complex purchase flow and high drop-offs. This resulted in significant cart abandonment that needed to be tracked and fixed. Additionally, the nature of the automobile service industry meant that customers planned their car service far in advance, leading to a long duration between the first and second service. This made it difficult to justify the CAC for users making only a single purchase.
The Solution
GoMechanic leveraged Branch's suite of products to deliver a flawless user experience, thereby increasing user app engagement and acquisition. They used Branch's deep linking and attribution solutions across their multichannel strategy, which includes web, social media, emails, SMS, and even print media. This helped drive user engagement and acquisition to its mobile app. For instance, GoMechanic used deep link-powered notifications to users who were abandoning their carts, driving them back to the app to complete their purchase. They also used Branch's mobile measurement partner (MMP) solution, Universal Ads, to accurately attribute its ad conversions across every channel and device. This allowed them to track each app install and conversion back to its true source and campaign. GoMechanic also used Branch's mobile linking platform (MLP) solution to power an app referral program, deep linked WhatsApp engagement, social media integration, promotion emails, SMS campaigns, push notifications, and QR codes.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.

Case Study
Integral Plant Maintenance
Mercedes-Benz and his partner GAZ chose Siemens to be its maintenance partner at a new engine plant in Yaroslavl, Russia. The new plant offers a capacity to manufacture diesel engines for the Russian market, for locally produced Sprinter Classic. In addition to engines for the local market, the Yaroslavl plant will also produce spare parts. Mercedes-Benz Russia and his partner needed a service partner in order to ensure the operation of these lines in a maintenance partnership arrangement. The challenges included coordinating the entire maintenance management operation, in particular inspections, corrective and predictive maintenance activities, and the optimizing spare parts management. Siemens developed a customized maintenance solution that includes all electronic and mechanical maintenance activities (Integral Plant Maintenance).

Case Study
Monitoring of Pressure Pumps in Automotive Industry
A large German/American producer of auto parts uses high-pressure pumps to deburr machined parts as a part of its production and quality check process. They decided to monitor these pumps to make sure they work properly and that they can see any indications leading to a potential failure before it affects their process.