#digitalcommerceanalytics

The Indian e-commerce sector is in a state of rapid transformation, with experts projecting it to hit an astonishing $400 billion+ by 2030, powered by a 19% annual growth rate, according to Inc 42 report. With this kind of momentum and each one vying for prominence on the digital shelf in a market as sprawling and diverse as India brands must dig deeper, focusing not only on top-tier cities but extending their reach into every dark store and at the pin code level to get the true picture.  

The major challenge faced by brands is scaling, covering multiple platforms and categories. This requires a solution such as mFilterIt that covers more than 150 platforms globally with all pin-codes.  

Brands aiming for success need to look beyond traditional ways, integrated multi-platform intelligence is needed. Competition is fierce, digital intelligence is the key to unlock brand success across platforms.  

The rapid rise in eCommerce across geographies especially in countries like Indonesia, Thailand, and Vietnam is experiencing rapid growth, with mobile usage and social media penetration being the highest worldwide.    

Each country in the SEA region has varying levels of eCommerce penetration and the region’s potential is enormous. Customer behavior is very similar to that of China and Korea where K-pop idols create fashion trends.   

SEA has approximately 400 million internet users and platforms such as Shopee, Lazada, and TikTok are leading the way providing customers with an immersive, interactive buying experience that combines social interaction with eCommerce capacity.  

The e-commerce market is expected to grow by $234 billion by 2025, emphasizing the need to make data-driven decisions to navigate this battle swiftly.  

Every eCommerce participant requires real-time access to actionable business intelligence to meet success metrics.  Let’s understand the common types of eCommerce across geographies and the role of eCommerce analytics in striking first and fast in the race.  

“Let’s BlinkIt”, or “Look it up on Amazon” These phrases have become common in our everyday lives. This reflects how online shopping; and digital commerce analytics are getting ingrained in our habits and their convenience has become an integral part of any shopper’s routine.

Why Do e-commerce Brands need Digital Commerce Analytics?

For instance, with digital commerce analytics – Availability analysis for a popular noodle brand, we discovered it has the lowest availability amongst the competitors, among quick commerce platforms on Blinkit it has the lowest availability of 25%. In Delhi, 61% of the listings are out of stock! Availability is almost 0% on the pin codes 110017, and 122001. Actionable insights such as these on various KPIs help brands identify gaps, track platforms, and geography with customized scheduled ed platform scans, monitoring on monthly, weekly, daily, and even hourly on certain KPIs such as stock availability, product page content, delivery turnaround time and keyword share, etc.

Optimize Customer Journey with Digital Commerce Intelligence

Phase 1: Generate Interest and Awareness

In the first phase generating eCommerce competitive analysis helps generate awareness & Interest by optimizing discoverability, keyword share, and viewability of the own, competition, and other products in the market across multiple platforms.