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PayU rolls out next version of merchant dashboard


By VARINDIA - 2014-09-20
PayU rolls out next version of merchant dashboard

 PayU India has released a new version of its merchant facing dashboard which aims to give a better understanding into consumers’ purchasing behaviour to a merchant. The new technology platform includes a visually exciting analytics tool which makes data representation not only easy to understand but helps merchant deep dive into conversion rates, payment method and device preferences, card vault usage, refunds, offers etc.

For each feature – there is a well-defined information display that a merchant can grasp in one-go at a macro level. For e.g. when the merchant clicks on Payment Methods – all the information regarding the relevant payment method for the selected period are displayed at the top. It will show the total number of payments, success rate and what percent of the payments happened through net banking or credit/debit cards, cash cards or PayUMoney.

“PayU India constantly strives to offer state-of-the art services to merchants and in its quest to achieve customer delight, it has revamped the merchant panel.  The objective is to be more efficient and transparent when it comes to payment analytics and make it super easy for a merchant to comprehend the data. The new merchant panel will help a merchant in taking wise and timely business decisions by using various data sets to his/her advantage.“ quoted Prashanth Susarla, Sr. Vice President – Product and Engineering at PayU India.

Further, for every transaction, PayU’s proprietary dynamic switching algorithm selects the best gateway on the basis of the health of the gateway, the global probability of success of the transactions on the basis of payment method and bin, the local probability of success of the given transaction on the basis of past transaction history and many more parameters. This switching helps us deliver industry best conversion rate.

In addition to getting maximum conversion, PayU has built a diagnostic tool to help merchants analyse and compare conversion rates between two time periods. At the end of diagnosis, an automatic report is generated which provides the cause of success rate fluctuations such as integration issues, bank downtimes and change in payment mix.

 

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