Are you looking to work with Stripe data? If your answer is yes, you are in the right place.
In this article, you will gain information about Stripe Data. You will also gain a holistic understanding of Stripe, it’s working, Analysis of Stripe Data for Marketing, and the combination of Stripe Data with Digital Marketing Applications. Read along to find out in-depth information about Stripe Data for Analytics.
Table of Contents
What is Stripe?
Stripe is an American Financial Services & Software as a Service (SaaS) company having headquarters in San Francisco, California. The company offers payment processing software & APIs for e-commerce websites & mobile applications. Stripe may as well be called the “Full Stack Payment Processor” or a Payment Gateway. It means that Stripe allows businesses to process credit and debit cards, as well as automated clearing house (ACH) transactions including both offline & online transactions.
A fully managed No-code Data Pipeline platform like Hevo Data helps you integrate and load data from 100+ different sources (including 40+ free sources such as Stripe) to a Data Warehouse or Destination of your choice in real-time in an effortless manner. Hevo with its minimal learning curve can be set up in just a few minutes allowing the users to load data without having to compromise performance. Its strong integration with umpteenth sources allows users to bring in data of different kinds in a smooth fashion without having to code a single line.
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How Stripe Works
Stripe is actually an extensive payment tool in which some complex processes are running. In simple words, it allows you to transfer money from a customer’s bank account into your business account by a way of credit or debit card transactions.
Take it this way. To process online transactions you need both a payment gateway and payment processor. The gateway securely captures and transmits the customer’s credit card payment information to the processor, which then actually processes the transaction. Funds from the customer’s bank are then temporarily routed to a merchant account (in this case of a third party processor like Stripe, it’s an aggregated account — more on that later), where credit card-related fees are deducted from the sum. The payment is then routed to the merchant’s bank account.
Stripe combines gateway functionality and payment processing, making it a convenient (if not necessarily the cheapest) way to handle eCommerce. Now let’s take a look at how Stripe makes it happen.
Technology Stack Compatibility
As far as the technology stack is concerned, Stripe is compatible with almost all server-side languages like Python, Ruby, Node.js, Java, PHP, Go & .Net. The minimal setup up for Stripe is actually pretty simple and, if you’re using a pre-built checkout like Stripe Checkout, is probably manageable for developers with limited experience (we’re talking less than 15 lines of code to test the API call).
Following are the steps:-
- Install a language-appropriate Stripe library. It can be done by using package managers like npm for node.js & pip for python etc.
- Setting up the API key.
- Create an object containing your payment intent with properties for amount, currency, payment method, and the email address the receipt will be sent to.
If all goes well, Stripe will return an object containing transaction details.
Types of Data in Stripe
As Stripe is a Financial Product, it mainly focuses on the following Stripe data points:-
- Growth Parameters
- Products Information
- Customers Retention Rates
- Fixed-Price Subscriptions
- Metered Subscriptions
- Per-Seat Subscriptions
- Change Subscriptions
Further details can be found out on the following links.
- Financial Reconciliation Information
With the help of Radar, another financial product offered by Stripe, we have access to the following Data Points as well:-
- Disputes Data
- Performance Reviews
- Payment Statuses Review
- Tax Rates
General Stripe Dashboard Interface looks like this:-
Analyzing Stripe Data for Marketing
As described earlier, Stripe is one of the best platforms when it comes to managing or running your internet business. Billions of transactions are being handled every year in each part of the globe. When analyzing Stripe data for marketing purposes following are the important aspects to consider:
- Performance of the Marketing Funnels in current years & their projections for the next year.
- Money made per subscriber in one of the most recent launches.
- Role played by E-mail Marketing in making the launch a success.
- Most valuable subscribers & how much they are generating revenues for themselves & for you.
- Customer Journey Analysis on your web applications. Analysis of where your potential customers are spending most time & what actions they are taking on the website & from what pages the bounce rate is the highest.
- Customers Segmentation on basis of different parameters like revenue, age, sex etc.
Stripe provides an easy & hassle-free integration with Segmetrics which is a Stripe official partner to analyse data for marketing purposes.
Let’s have a look at a simple use case on how a Stripe partnered tool Segmetrics can help in tracking ROI over Customer’s Lifetime also known as Sales Velocity.
With the help of Segmetrics, we can have the following answers which are needed to track ROI over Customer Lifetime Value (CLTV):-
- Are leads who opened a certain email more likely to buy than those who did not?
- Does a particular free download lead to bigger purchases?
- The monetization report provides detail about how long does it take for Ad Campaigns to get ROI.
- Collection Report provides details about how many customers don’t pay all the invoices on the payment plans.
- The Subscriptions Report provides you with details about which subscription products help companies in making the most money every month.
Combining Stripe Data with CRM/Digital Marketing Applications
Apart from Segmetrics, Stripe also provides easy integrations with the following Top Marketing Tools:
A long list can be found out on the following link.
Let’s have a simple use case to integrate Stripe with HubSpot.
- Step 1: In your HubSpot account, click the Marketplace icon marketplace in the main navigation bar. Under Manage, select Connected apps.
- Step 2: Click Visit App Marketplace.
- Step 3: Use the search bar to search for Stripe, then select Stripe from the dropdown menu.
- Step 4: Click Connect app, then enter the required information for Stripe in the pop-up window. You can also click Sign in in the upper right if you already have a Stripe account.
- Step 5: Click Authorize access to this account to finish integrating your account with HubSpot.
By integrating Stripe with Hubspot it becomes very easy to send quote payments with Stripe Account.
Overall, Stripe is one of the best Payment Gateway & Payment Processors & it provides extensive analytics through an interactive dashboard. Also, it provides easy integrations with all the top market analytics platforms & CRMs.
Hevo Data, a No-code Data Pipeline provides you with a consistent and reliable solution to manage data transfer between a variety of sources and a wide variety of Desired Destinations with a few clicks.
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Hevo Data with its strong integration with 100+ data sources (including 40+ free sources such as Stripe) allows you to not only export data from your desired data sources & load it to the destination of your choice but also transform & enrich your data to make it analysis-ready so that you can focus on your key business needs and perform insightful analysis using BI tools.
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Share your experience of understanding Stripe Data for Analytics in the comment section below! We would love to hear your thoughts.