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Big Billion Day 2016 case study real-time user whats loss-profit

big billion day 2016 case study real-time user whats loss-profit  

Live Case Study on Big Billion Day 2016 

 October 6, 2014 saw Flipkart made Rs 600 crore as a result of its “Big Billion Sale”. The brand also made news for a lot of wrong reasons – amplified disastrously on social media. Flipkart’s proposed 24 hour sale sold out in a mere 10 hours even as the website gave out and orders got cancelled. But the worst were the price fluctuations and jacked up pre-discount costs. One tweeter summed up customer sentiment aptly, stating “among the billion things #Flipkart sold that day, one was its credibility.”

The Flipkart fiasco held an enthralling quality that invited debate in business classrooms, with a fun impromptu session at WMA as well. Digital marketing students and faculty congregated in the conference room to brainstorm on Flipkart’s mistakes and propose improvements. Amidst the vociferous ire of the many Flipkart (maybe ex) consumers in the room, interesting points were made, stuff that begged a blog post!

http://affiliate.flipkart.com/install-app?affid=man18munna

Record sales and an apology – too little too late?
Why does a business that’s just collected $600 crore sales in a single day have to send out a letter of apology the very next day? Because  the Flipkart sale was a mess from the start! Some highlights:
  • The sale kicked off before the announced time – stocks were out even when people logged in at 8am.
  • Discounts offered on newspaper ads proved misleading.
  • Servers crashed, HTTP 404 abounded.
  • Worse, prices fluctuated between MRP, discounted price, and jacked up pre-discount rates.
  • “Out of stock” and “Sold out” were the highlights of the day.
  • Confirmed orders got cancelled in hours.
  • Flipkart ended up doing Amazon and Snapdeal a great favor. 
What were Flipkart’s mistakes? Some thoughts from WMAites:
  • Advertizing the sale everywhere like crazy – should have targeted existing consumers with email marketing and earned loyalty and referrals.
  • Not preparing for an unprecedented high in traffic – should have over prepared logistics, inventory and infrastructure in keeping with the marketing reach.
  • Started small – could have opened sale for specific product categories only.
  • Not touted unrealistic discounts – under promise and over deliver should have been the mantra not vice versa.
Also in the bid to sell at lowest prices, Flipkart may have inadvertently created warranty hassles for customers by procuring from unauthorized channel partners. That’s going to bite Flipkart some more!
  • Extended the sale window – run the sale for a week instead of a day since it covered all categories.
  • Prevented insider hoarding – blocked employees’ participation and prevented “out of stock” situations at sale commencement.
  •  Learned from earlier mistakes – servers crashed even during single product sales (Xiaomi Mi3 and Moto E). What did Flipkart learn? Nothing.
- See more at: http://flipkartbigbillionday2016.in/2016/10/big-billion-day-case-study-blogging-live-real-time-user-backlinks-2016/#sthash.pQ8Vwvs1.dpuf

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