#ecommerceanalyticstool

Aditya was running a festive campaign for his brand on top eCommerce marketplaces and quick commerce platforms. He sets the bid for a specific keyword, schedules the campaigns, and goes to sleep. 

Meanwhile, their competitors reduce the bid cost and get a better position than them. Till the time he sees that and optimizes his campaigns, his competitors have captured the eyeballs.  And in addition to it, he is struggling to keep an eye on all the platforms at the same time.  

During peak season time, brands cannot take the risk of losing visibility. But managing cross-platform campaigns manually is like floating on two boats like Aditya. Your human eye will definitely miss something.  

This is the hidden cost of managing ads across multiple marketplaces separately. 

So, now the question is – How should a performance manager manage ads across Amazon, Flipkart, Blinkit, and others without logging into 5 different dashboards? 

Let’s find that out. 

“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. 

The number of shoppers on established ecommerce marketplaces like Amazon or Walmart is in billions. And thus, the movement of products in terms of sales is at large scale compared to any mom n pop shop. This large movement of products often lead to problem of out of stock (OOS) which can happen due to negligence at multiple steps of the value chain. Brand stakeholders and ecommerce retailers understand that the OOS is going to remain an ongoing problem. The increasing number of visitors to online shopping stores often impacts product demand.

eCommerce managers use the best measures to forecast their product demand percentages before informing their authorized sellers of the inventory. Unfortunately, determining the exact product demand is a slippery slope for eCom managers, as the customers’ needs continuously change.

The inaccurate forecast of product demand is also linked to other reasons. For example, if your brand is running an online campaign for a specific product and delay in informing the authorized retailers about increasing the inventory of the product. Under such circumstances, the retailers would update the stocks per the previously stated demand. A similar situation could arise if the brand stakeholders delay informing the retailers about updating the stocks of specific products.