The ABCs of Peacock Dashboards and Filters
The purpose of Peacock is to improve awareness of what’s happening inside of your payment stack. One of the most powerful ways Peacock delivers that awareness is in combining and normalizing data from multiple payment service providers (PSPs). With all your transaction data in one place, you can break down and compare your data by whichever variables you, your business, and your leadership team may deem important—regardless of which PSP actually processed the transaction.
As alluded to in the last blog, Peacock from Pagos has many filters which allow you to delve deep into your data using whichever combination—or comparison—you like.
Imagine you already know Issuer 1 and Issuer 2 represent a large portion of your volume and are also giving you a hard time: they’re just not performing regarding their authorization rates. However, before getting on your elevated mammal (we prefer bird puns here at Pagos, but, sadly, there’s no bird-related substitute for this idiom), you’ll want to check whether these two birds of a feather really are flocking together. (Ah, now that’s better!)
As we discussed in other blogs, your payment performance is influenced by factors such as card network, processor, card type, and market. However, at the end of the day it’s the issuers that decide which birds get the worm (an accepted authorization)—so lining up performance side by side can make it quickly apparent what may be driving differences, and therefore what actions you can take in your payments team, with your partners, or even with your marketing department.
You can use Peacock’s dashboards to create side-by-side comparisons of many aspects of your payment processing. First, you need to set up a custom dashboard and add as many of the Peacock charts as you fancy. Then, using Pagos filters, we’ll select the issuer banks in question and apply this filter to the two leftmost charts: let’s now call them Issuer 1 (left) and Issuer 2 (middle).
On the right, we have the market/country in which these two issuers operate as a benchmark. You want to compare the issuers to each other but also to the market overall, especially if you’d like some grounds to reach out and engage in constructive dialogue.
With a quick scroll down (below, and in our reports) you can also explore how the issuers and the market respond in detail to authorizations.
With tools and functionality like this, it becomes easy to discern that:
One PSP outperforms the other
Debit and credit card split is different
Issuer 2 is providing less granular detail on reason codes, with a far larger proportion of Do Not Honor than Issuer 1
Issuer 1 issues Visa and Issuer 2 predominantly issues MasterCard
This on its own—should you require assistance from a card brand or checking setup/routing—could expedite a resolution significantly
Whether it is due to the card brand or card type, or whatever may be the underlying cause, this is a prime insight to kick off some experimentation! What do we mean by this? Well, this could be a great call to action to:
Make sure you’re sending exactly the same data to both PSPs (this is a common root cause)
Challenge each processor on why they’re not performing with an issuer
Request they reach out to the issuer on your behalf regarding the lack of detail with their Do Not Honor responses (i.e. are they, in fact, insufficient funds?)
A/B test routing each Issuer via their potentially preferred PSP (and set up some custom dashboard to monitor the results on Peacock 😉)
This example is just one of the thousands of possible filter combinations you can apply and compare using the Peacock by Pagos payment analytics product.
Any of these columns could be set up with your choice of one or a combination of filters, including:
Merchant account (think A/B monitoring)
Next, we’ll move on from this side-by-side comparison to how to monitor new rollouts and A/B testing with some more advanced iterations!