2018 brought lots of additions and analytics updates to Pazien. To wrap up the year, here’s a look at some of the biggest improvements we made, along with a sneak peek of what’s to come early 2019.
Summary
Filters within the analytics sections of Pazien allow you to quickly drill into your payments data and view specific merchant IDs, banks, payment methods, currencies and more. Pazien users have leveraged filters to pinpoint regions where their approval rate was low, discover banks that were constantly issuing chargebacks, compare provider fees, and more.
This year we introduced the ability to save filters on Pazien to make accessing important filters even easier. Once you apply a filter, or string of filters, you can save it for later use by clicking the star icon in the right corner of the filter bar.
Saved reports ensure that data important to your role is only a couple of clicks away. When you choose to save a payments report, you capture any filters applied to that data, along with any pivot tables or change over time views created on individual performance cards.
There are multiple time frames to pick from when saving a report. You can choose the currently selected date range to create an archived report, or you can choose date ranges that update whenever you log in to Pazien, to create more of a templated report.
Learn how to save payments reports.
Business units can be added on Pazien by mapping, or assigning, merchant IDs (MIDs) to a hierarchy. Pazien customers have created multi-tier business units by region, brands within the business, websites, store locations, ecomm vs. retail, deposits vs. withdrawals, and more.
Once created, you can use business units to filter your payments data, view performance cards by business unit, and manage user permissions to specific business units.
Learn how to create business units.
Payments performance can be compared across many different factors in Pazien. This year we rolled out a new view that enables you to understand things like which payment methods are most successful in different regions, which banks issue the majority of your chargebacks, and which MIDs generate the most sales for you.
When you launch a comparison view you can drill into granular details on areas of success and areas for improvement.
Learn how to compare payments performance.
Reconciliation supports multiple export options to give you the transactional data you need. You can choose to export:
Tip for 2019: Sign up for scheduled delivered reports (SDRs) to get transaction-level details automatically sent to you via SFTP on a daily, weekly, or monthly basis.
One of our newer releases is chart viewing options on opened performance card tables. When you click on a performance card from an analytics page, we call that opening a performance card. This detailed data defaults to being presented in a table format, with the option to toggle to a static chart view.
Now, we’ve added the ability to view pie or bar charts* on columns of data.** These visualizations help you understand the spread of your data, or what part of the whole certain factors make up.
*Some values only support one type of graph. For example, rates cannot be presented as pie charts. This is because rates are calculated using multiple data points, and do not add up to a sum whole.
Example: Your overall refund rate may be 36%, but your Visa refund rate is 28% and your Amex refund rate is 44%. Adding Visa and Amex together does not represent your total refund rate, but rather factors in your overall refund rate.
**Column graphs cannot be exported at this point.
To round out the year, we released AVS and CVV2 response code performance cards this week. This provides another layer of insights into the security measures used to complete transactions. These performance cards function like every other performance card, allowing you to create pivot tables and change over time views to track your performance and progress.
You can access AVS and CVV2 response code performance cards on the Authorizations, Sales and refunds, and Chargebacks pages. They also appear as columns in transaction level details where applicable.
Here’s a reminder of some more improvements we’ve made throughout the year and we hope you’ve been able to take advantage of:
*Chargeback transaction date is the date the chargebacks came in, not the date of the original sale. If sent by your provider, the date of the original sale is available in the chargeback transaction details.
If you’re unsure of how to use any of the above, feel free to drop us a note and we’ll be happy to walk you through.
We were honored to receive the inaugural InnovationLab award at PaymentsEd this year. We won this award for our advancements in interactive industry benchmarking.
In 2019, using the anonymized data from our global user base, you’ll be able to compare your payments performance to that of your peers. By accessing this information, you can understand how your approval rates stack up, where there’s room for improvement with your chargebacks, which payment providers have the best ROI, individual markets that could be lucrative for you, and much more.
We’ve taken fraud insights one step further and created a dedicated section of Pazien. This data will show you exactly where your fraud rates are highest so you can make informed decisions on improving your processes. The fraud monitor will also provide data on PSD2, allowing you to act on important industry advancements.
Based on customer feedback, we’re introducing the ability to compare your payments performance over multiple date ranges. This comparison feature gives you better insight into how your payments change over time and allows you to do more comprehensive trend analyses.