Tuesday, September 26, 2017

Today we continue reviewing the whitepaper - the chutes and ladders of customer identity from Gigya which is a leader in Customer Identity and Access Management Industry. The title uses an analogy of a well-known game. This is a whitepaper that introduces the delights and the pitfalls in customer experience with identity.
The chutes for customer identity are demonstrated by
1) annoying ads for past purchases
2) spamming of email inbox with unwanted newsletters
3) more setup and initiation activities prior to transaction
The ladders for customer identity are demonstrated by
1) personalization of ads done right
2) less frequent and more pertinent notifications
3) more integrated and seamless experience with less chores
Most Customer Identity and Access Management solutions need to track customers. They can only do this with user consent. While some show all the terms and conditions up front for a one-time user but overwhelming consent request, others choose to ask as and when needed providing a lighter touch
Similarly the sign up process can seem to require all day to get all the details fed in to the system while others merely refer to existing registered partner sites such as signing into email or chat applications. Removing this password requirement is touted as one of the best improvements to customer experience and consequently a lot of attention has been paid by the industry in forming the OpenID standard. What the standard leaves unsaid is how the marketers can use it to their advantage while it focuses on the integration between businesses and stores for the customer.  A marketer would like to know :
whether the customer arrived via search, campaign or referral
what device they connected with
what was the tipping point that converted them to a customer
what transactions the customer attempted or executed
what are the recommendations that will interest the customer the most
how to make more money from an engaging and mutually beneficial experience for the customer.
what partners and associates are willing to work with the marketers for this customer

#codingexercise
Get the max sum level of an integer binary tree.
We perform level wise traversal of the binary tree and serialize the integers encountered.
Then for every level, we add up the sum and return the level with the highest sum.
The level wise traversal is done by enqueueing the left and the right siblngs in a queue. The levels are demarcated by level indicators which in our case could be a null node.

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