Tiered pricing is a versatile pricing strategy where companies offer products or services at multiple price levels, each tier providing unique features, benefits, or discounts. This approach allows businesses to address a broad range of customer needs and budgets, from cost-effective solutions to premium offerings. Here, we’ll explore the components of tiered pricing, its models, advantages, and best practices, and explain how Nami ML’s revenue management software can help optimize its impact.
Revenue Increase: Offering multiple price points allows businesses to capture additional revenue from customers willing to pay more for premium features or higher service levels.
Effective Customer Segmentation: Tiered pricing gives companies insights into different customer segments and preferences, supporting targeted marketing strategies.
Flexibility for Customers: By offering options, businesses cater to various budget levels, improving customer satisfaction and accessibility.
Loyalty and Retention: Customers often feel rewarded by the value they receive at specific tiers, which can enhance customer retention and encourage repeat purchases.
Enhanced Perceived Value: When customers see a range of options, they may perceive the product or service as more valuable due to its diverse and adaptable nature.
Tiered pricing is a pricing model that allows businesses to present various options at different price points, based on factors like purchase volume, access to features, or subscription length. This strategy encourages larger purchases and upgrades, as customers see the added value in higher-tier options. The approach is popular across industries, from SaaS to retail, providing a flexible model that aligns with diverse customer budgets and maximizes revenue potential.
The core value of tiered pricing lies in its adaptability across industries, using different structures based on company goals and customer preferences:
Pricing Model | Description |
---|---|
Volume-Based Pricing | Customers pay less per unit as they increase their order quantity, incentivizing bulk purchases. Commonly used in retail and other sectors where boosting volume sales is essential. |
Feature-Based Pricing | This model offers different product or service features at each tier, ideal for businesses like software providers. Customers can select a tier that suits their needs, from basic to advanced features. |
Subscription-Based Pricing | Customers receive discounts or benefits for longer subscription periods, reducing the price per billing cycle. Common in recurring services like streaming or SaaS products, this model rewards long-term commitment. |
Usage-Based Pricing | Customers pay based on usage levels, which is effective for services such as cloud storage or data services, where usage patterns vary widely. |
Tiered pricing offers flexibility and benefits both businesses and customers:
Successfully implementing a tiered pricing model requires attention to several key practices:
Nami ML’s app revenue management software offers valuable tools to refine tiered pricing structures. Through A/B testing, businesses can experiment with various feature combinations to pinpoint the most popular configurations, ensuring each tier remains distinct and valuable. The platform also enables dynamic adjustments based on real-time data, allowing companies to fine-tune each tier for optimal customer satisfaction and revenue impact. With Nami ML’s analytics, track KPIs like customer lifetime value and average revenue per user to make informed, data-driven decisions for continuous improvement.
Optimize your in-app purchase process and unlock additional revenue potential with Nami ML. Try it today to see how seamless revenue management can transform your pricing strategy.
Tiered pricing is an adaptable and impactful strategy for businesses across various industries, from retail to SaaS, enabling them to offer options for diverse customer needs while maximizing revenue. Whether your goals are encouraging volume sales, promoting premium features, or enhancing customer retention, tiered pricing can support these objectives.
Nami ML provides essential tools to optimize tiered pricing with advanced A/B testing and analytics, ensuring each pricing tier aligns with customer expectations and maximizes revenue. Start with Nami ML today to explore how it can transform your pricing strategy and help you stay competitive in the market.
How is tiered pricing different from volume or bulk pricing?
While volume or bulk pricing typically discounts based on quantity purchased, tiered pricing is more versatile, allowing businesses to structure prices around factors like features and usage levels. It’s especially useful for services or subscription models where customers select tiers that best fit their needs.
What industries benefit most from tiered pricing?
Tiered pricing is effective across SaaS, telecommunications, e-commerce, and subscription-based services. It’s particularly useful for companies offering service levels or feature-rich products, as it addresses a wide range of customer needs and budgets.
Can tiered pricing improve customer loyalty?
Yes, by offering value at each level and encouraging customers to upgrade as their needs grow, tiered pricing can foster loyalty and increase customer lifetime value.
With Nami ML, you can test and optimize your pricing tiers to ensure each level aligns with customer expectations and drives loyalty. Try Nami ML to see how our tools can streamline your tiered pricing strategy.
In the cutthroat world of app development, knowing what truly drives success is everything. One metric stands out as a golden compass: LTV/CAC ratio. LTV/CAC - that's Lifetime Value divided by Customer Acquisition Cost - is the ultimate measure of how much bang you get for your buck. It reveals whether your app is a cash cow or a money pit. By mastering this ratio, you're not just attracting users; you're cultivating loyal fans who keep your app thriving. Let's dive deep into why LTV/CAC is the secret metric to building an app empire
Lifetime Value (LTV) is the total amount of revenue a business can reasonably expect from a single customer account. It's more than just a one-time sale; LTV represents the big picture of a customer's worth to your company. From initial purchase to repeat business and referrals, LTV measures the long-term profitability of each customer relationship.
Let’s say you run a gym membership service. The average member stays with you for three years, paying $120 per month. While it costs you about $20 per month to keep them happy (e.g., facility maintenance, staff), the overall profit from that member over their entire gym journey is their LTV. In this case, their LTV would be:
Customer Acquisition Cost (CAC) is essentially the price tag for landing a new customer. It's the total amount of money a business spends to convince someone to buy their product or service. From visually entertaining ad campaigns to the salaries of your sales team, everything that goes into acquiring a new customer is factored into CAC.
For example, if your company drops $1,000 on marketing and scores 10 new customers, your CAC is $100 per customer.
👉Read more: How to Optimize Your Subscription Apps
The LTV/CAC ratio is a powerful tool for gauging a business's long-term prospects. It reveals whether a company is effectively turning a profit from its customer base. When LTV significantly surpasses CAC, it indicates a healthy business model where customer acquisition costs are outweighed by the revenue generated over time.
For instance, a 3:1 ratio means every dollar spent acquiring a customer yields three dollars in return, signaling a strong foundation for growth.
The LTV/CAC ratio is also a compass for businesses that guides their investment decisions. A healthy ratio signals financial stability, allowing companies to confidently invest in growth strategies like expanding their customer base or developing new products. On the other hand, a low ratio is a red flag, indicating a need to optimize marketing efforts, improve customer retention, or adjust pricing strategies. By carefully analyzing this metric, businesses can make informed decisions about where to allocate resources for maximum impact and profitability.
To determine a customer's lifetime value (LTV), you need three key pieces of information:
The LTV formula is simple:
For example, if a customer spends an average of $50 per order (AOV), buys from you 5 times a year (Purchase Frequency), and stays with your company for 3 years (Customer Lifespan), their LTV would be: $50 x 5 x 3 = $750.
Customer Acquisition Cost (CAC) is like figuring out how much it costs to bring in a new customer. It's the total price tag for landing each new buyer. To calculate CAC, you need to:
The formula is simple:
For example, if you spent $100,000 on marketing and ended up with 500 new customers, your CAC is – $100,000 / 500 = $200 per customer.
By understanding both LTV and CAC, businesses can measure how much they're investing to acquire a customer versus how much that customer is worth over time. This helps companies make smart decisions about where to spend their money for the biggest payoff.
A happy customer is a loyal customer, and loyal customers boost your bottom line. By crafting exceptional customer experiences, you can significantly increase Lifetime Value (LTV). From intuitive website designs to lightning-fast customer support, every interaction matters. Personal touches like tailored product recommendations or personalized email campaigns make customers feel valued and appreciated. These strategies not only boost satisfaction but also increase the chances of repeat business and positive word-of-mouth, ultimately driving up LTV. Companies like Amazon and Netflix are masters of this game, using data to create highly personalized experiences that keep customers coming back for more.
To lower your Customer Acquisition Cost (CAC) without sacrificing customer quality, you will need to leverage data. By analyzing marketing performance, you can pinpoint high-performing channels and reallocate your budget accordingly. This laser-like focus helps you reach the right customers with the right message.
Experimenting with different ad copy, landing pages, and calls-to-action through A/B testing reveals what truly resonates with your audience. And let's not forget the power of organic growth. Investing in content marketing and SEO can yield long-term results and significantly reduce your reliance on paid advertising.
Companies like HubSpot have mastered this approach, proving that smart, data-driven marketing can dramatically improve CAC while building a loyal customer base.
Accurate data is non-negotiable for any LTV and CAC calculation. Without it, your business decisions would be built on shaky ground. Unfortunately, many companies struggle with data inconsistencies, outdated information, and fragmented systems. These issues can lead to inflated LTV estimates and inaccurate CAC calculations, throwing off your entire financial strategy.
To avoid these pitfalls, invest in robust data management systems and regularly audit your data for accuracy. Advanced analytics tools can help you clean, organize, and validate information from multiple sources, ensuring you're working with the most up-to-date and reliable numbers.
Finding the sweet spot between acquiring new customers and keeping existing ones happy is a constant challenge. While it's tempting to pour resources into acquiring more customers, neglecting retention can be costly. Remember, it's often more economical to retain a current customer than to acquire a new one.
The key is to strike a balance. Invest in acquisition strategies that deliver high-quality customers, and then focus on building strong customer relationships to increase their lifetime value. Continuously monitor your LTV and CAC metrics to ensure your efforts are paying off.
👉Read more: Driving Customer Retention and Revenue with Cohort Analysis
We've explored the critical role of the LTV/CAC ratio in navigating the competitive app market. Understanding and optimizing this metric is essential for sustaining growth and ensuring financial health. By prioritizing data accuracy and balancing acquisition with retention costs, businesses can maintain a healthy ratio that not only attracts but also retains valuable customers.
Ready to unlock the full potential of your subscriptions? Connect with Nami ML to know more.
The LTV/CAC ratio reveals the financial health of a business by comparing customer lifetime value (LTV) to customer acquisition cost (CAC). A strong ratio, typically 3:1 or higher, indicates a business generates three times more revenue from a customer than it costs to acquire them. This metric is essential for understanding profit margins and the efficiency of customer acquisition efforts.
In the app market which is fiercely competitive, a healthy LTV/CAC ratio is the cornerstone of sustainable growth. By ensuring that customer acquisition costs are significantly outweighed by the revenue each customer generates, businesses can build a solid financial foundation and invest confidently in future growth.
Achieving and maintaining a healthy LTV/CAC ratio is fraught with challenges. Accurate data is paramount, as errors can skew calculations and lead to misguided decisions. Striking the right balance between acquiring new customers and retaining existing ones is equally critical.
To optimize the LTV/CAC ratio, businesses must prioritize data integrity through robust data management systems and regular audits. A holistic approach that balances customer acquisition and retention is essential. By investing in cost-effective acquisition strategies and cultivating strong customer relationships through loyalty programs and exceptional service, companies can significantly enhance their financial performance.
To achieve a harmonious balance between acquisition and retention costs, businesses must refine both marketing and customer service strategies. By precisely targeting the ideal customer, leveraging data analytics to predict behavior, and crafting personalized experiences, companies can optimize marketing ROI. Simultaneously, exceptional customer service fosters loyalty and repeat business, increasing customer lifetime value.
We live in an on-demand economy where subscription services have become an integral part of our lives. Whether it's accessing their favorite movies or getting a curated box of beauty products delivered each month, subscriptions offer convenience and variety to consumers. But what keeps these services running smoothly? The answer lies in recurring payments.Recurring payments are a billing system where a customer authorizes a business to automatically charge their chosen payment method at regular intervals (usually monthly, annually, or quarterly) in exchange for ongoing access to a service. This approach eliminates the need for manual payments and ensures that consumers never miss out on their favorite subscriptions.
Recurring payments, also called subscriptions or automated payments, are automated transactions that automatically charge the chosen payment method (credit card, bank account, or digital wallet) at predetermined intervals, typically monthly, annually, or quarterly. This ensures consumers receive uninterrupted access to the subscription services. In essence, recurring payments streamline the process for both consumers and the business, ensuring a smooth and hassle-free experience.
Recurring payments come in a variety of flavors, offering flexibility for both consumers and businesses.
Fixed recurring payments charge a consistent amount at set intervals – think monthly gym memberships or annual software licenses. This predictability makes budgeting easy for subscribers, while businesses enjoy steady revenue streams.
Variable recurring payments fluctuate based on usage, as seen with utility bills or phone charges. While this can require more attention from subscribers for budgeting, it allows businesses to accurately reflect service consumption in their pricing.
Putting the power in the user's hands, on-demand subscriptions allow for ultimate flexibility. Think of streaming services where users choose what and when to watch. Subscribers can control their spending, and businesses benefit from a wider customer base.
Understanding these types provides valuable insight into how various subscription models influence consumer behavior and business revenue streams. Each type caters to different needs, giving individuals and businesses flexibility in managing their finances and subscriptions.
Streamlining the billing process, recurring payments ensures consistent revenue streams, making financial planning and budget management easy for businesses. Automating transactions reduces administrative overhead, minimizes errors, and frees up resources for other areas. Recurring payments also enable a more positive customer relationship by offering a convenient payment experience, which can lead to higher retention rates. Additionally, valuable insights gleaned from payment analytics give businesses a chance to tailor their services effectively and boost customer satisfaction.
Recurring payments eliminate the need for consumers to remember due dates or perform manual transactions, freeing them from the stress of missed payments and late fees. Recurring payments also empower them to take control of their budget. With predictable expenses, they can easily plan their finances in advance. Additionally, subscribing to services can often lead to cost savings. Businesses may offer discounts and bundled pricing options to incentivize long-term commitments. These advantages, combined with the ability to access a wide array of services tailored to consumer’s specific interests, make recurring payments an attractive option for anyone looking to simplify their financial life.
If you plan to integrate recurring payments as a part of your payment system, here are some technical hurdles to consider.
Staying compliant with international, federal, and state regulations can be a complex task, especially for businesses that operate globally. For instance, data privacy regulations like the European Union's GDPR and the US's CCPA dictate how businesses can store and process customer information, impacting subscription management practices.
Businesses must ensure transparent billing practices and disclose all terms and conditions clearly to avoid violating consumer protection laws, which could result in hefty fines and legal challenges. Adherence to financial standards like PCI DSS for payment security is not just mandatory but critical for maintaining consumer trust. A data breach can have far-reaching consequences, so robust security measures are essential.
Navigating these technical and regulatory landscapes requires dedicated effort from businesses to not only implement but continuously update and audit their recurring payment systems to comply with current laws and technological advancements.
Choosing the right recurring payment provider is crucial for delivering a smooth subscription experience to consumers. Here are some key features to consider:
While this is not an exhaustive list, several top players in the market cater to businesses for recurring payments:
Selecting the right provider involves understanding your business's specific needs and matching them with the features and services offered by these providers. Remember, the best choice often balances cost, user experience, and comprehensive functionality.
From offering businesses predictable revenue streams to simplifying budgeting for consumers, the benefits of recurring payments are undeniable. However, navigating the available options and ensuring compliance requires a well-informed approach. By carefully considering a payment provider's features against your specific needs, you can ensure a smooth and secure experience for both you and your customers. With the right recurring payment solution in place, you can move forward with confidence, empowered to achieve your business objectives and growth plans. Discover how NamiML's intelligent platform can streamline your subscription billing and boost revenue predictability—try NamiML today and transform your subscription experience.
Recurring payments streamline business operations by automating billing and payment processing, freeing up your staff to focus on other crucial tasks. This reduces administrative overhead and minimizes errors associated with manual billing. Recurring payments ensure a steady stream of revenue, making financial planning and budgeting a breeze, so you ou can confidently forecast future income and make informed business decisions. Recurring payments offer a seamless experience for your customers, eliminating the hassle of missed payments and late fees. This translates into positive customer relationships and can lead to higher retention rates. Recurring payments also generate valuable data on customer spending habits. You can leverage this data to tailor your services, optimize pricing strategies, and ultimately boost customer satisfaction.
Implementing recurring payments can involve technical hurdles like integrating the system with your existing setup. Security is also a major concern, as robust measures are needed to protect sensitive customer data and not doing so can attract hefty fines and legal challenges. Additionally, adhering to the constantly changing landscape of regulations, at local and international levels, can be challenging for businesses.
Choosing the right recurring payment partner requires careful evaluation. A smooth integration with your existing business systems, like accounting software or your e-commerce platform, is crucial to save time and resources during setup. Protecting customer data is paramount. Choose a provider with robust security measures like encryption and compliance with PCI DSS standards to ensure customer trust. Reliable customer support is essential. Look for a provider that offers 24/7 support through multiple channels to ensure prompt assistance with any issues. Also, consider your future growth plans and choose a provider that can scale with your business needs. Factor in transaction fees and monthly costs when making your decision to find a solution that fits your budget.
Notable providers in the market include Stripe, PayPal, Square, and Adyen. Each offers distinct strengths and is targeted toward varying business sizes and types. Evaluating their specific features and alignment with your business goals is essential when choosing a provider.
Choosing a recurring payment provider with features that match your specific needs is crucial for several reasons. By aligning features with your needs, you avoid unnecessary costs and ensure you're getting the most value for your money. A smooth experience for both you and your customers is essential. Features that match your needs, like easy integration or 24/7 support, contribute to a more streamlined process. Choosing a provider with the functionalities you require, like scalability or support for multiple currencies, ensures your recurring payment system operates efficiently.
With the power of a thousand paywalls, a company can now run countless A/B tests and granularly target users to give every customer a personalized purchasing experience. The result is accelerating revenue from a wave of loyal customers.
DENVER, 5 June 2024 –Nami® ML today launched a groundbreaking new version of their Subscription Studio platform, empowering businesses to take their revenue from a trickle to a tidal wave.
While subscription services swelled over the past decade, the individualized experience that today’s consumers demand has been arduous to come by, primarily because producing any purchasing experience takes a lot of time and resources - it can take hundreds of hours to design, develop, deploy, test, and refine a single paywall, and those hours skyrocket when a subscription is offered at-scale across a variety of platforms and ecosystems.
With Nami’s updated Paywall Creator, companies can adjust pricing, alter positioning or launch a new design in minutes– everywhere they sell. If a company can create one paywall in ten minutes, then they can create a thousand paywalls in about the amount of time it previously took to create a single paywall.
With the power of a thousand paywalls, a company can run countless A/B tests and granularly target users to give every customer a personalized purchasing experience.
“The best way to grow subscription revenue is to get personal. Nami customers rapidly discover what resonates, which translates to more revenue. Nami pays for itself after a few tests, ” explains Dan Burcaw, Co-Founder, CEO of Nami ML.
Nami’s updated platform makes it easy to discover what each customer wants, then deliver a level of personalization never before achieved at scale. Paywalls can be contextualized at different moments - as your trial expires or when trying to access premium content, for example - or target CRM audience segments or even individual users.
Today’s release transforms how companies approach subscriptions. No longer is a paywall a mere product selection point - it is a marketing asset.
Burcaw continues, “The purchase experience is now in harmony with other marketing channels for a truly orchestrated subscriber journey. The result is accelerating revenue from a wave of loyal customers.”
Nami ML helps brands deploy personalized purchasing experiences that foster long-lasting loyalty and drive revenue. Visit https://namiml.com and request a demo from a product expert today.
Nami is a registered trademark of Nami ML Inc.
Verifying receipts for in-app purchases is crucial for maintaining the integrity of transactions within your iOS app. This process ensures that the purchases made by users are legitimate, protecting your app from potential fraud. In this article, we'll cover the essential steps for verifying App Store receipts. We'll explore the process of receipt validation, best practices for secure implementation, and troubleshooting common issues.
Update: Since this guide was published, Apple announced StoreKit 2 which adds new capabilities and APIs such as Signed Transactions. StoreKit 1-style receipts and APIs will continue to be available, so we hope this article will continue to be a useful reference. If you're interested in learning more about StoreKit 2, head over here. Also, the new APIs are a major change and another and a great time to build atop Nami which abstracts away these underlying implementation details.
An App Store receipt is a digital proof of purchase generated by Apple for any transaction made within the App Store, including app purchases, in-app purchases, and subscriptions. This receipt is a critical component in ensuring the integrity and authenticity of transactions, as it contains detailed information about the purchase, such as the product ID, transaction ID, purchase date, and subscription details if applicable.
The receipt is stored on the user's device and can be retrieved and verified to confirm that the user has made a legitimate purchase. This verification process typically involves sending the receipt data to Apple's servers, where it is checked for validity and authenticity. By verifying receipts, app developers can protect their apps from fraudulent transactions and unauthorized access to premium content or features.
The receipt data provided by StoreKit is a Base64-encoded. To receive a decoded version, described in detail in this article, you need to transmit the encoded receipt to Apple’s verifyReceipt endpoint. To fully understand verifyReceipt, see this article where we code a simple Python script step-by-step that demonstrates how to send an encoded receipt and receive the decoded receipt.
Why is all of this necessary? The two most important reasons:
The mechanics of receipt validation are relatively straightforward as demonstrated in the Python script referenced early.
However, grokking the decoded receipt itself is painful. It’s not the most elegant data structure in the world, and there are all sorts of esoteric details and nuances. Our goal with this article is build upon and go beyond Apple’s documentation to help you better understand the decoded receipt and avoid common (and more exotic) pitfalls.
The first step is to obtain the receipt data from the app. This data can be retrieved using the SKReceiptRefreshRequest
class or from the receipt URL located in the app’s bundle.
if let appStoreReceiptURL = Bundle.main.appStoreReceiptURL,
FileManager.default.fileExists(atPath: appStoreReceiptURL.path) {
do {
let receiptData = try Data(contentsOf: appStoreReceiptURL, options: .alwaysMapped)
let receiptString = receiptData.base64EncodedString(options: [])
// Send receiptString to your server for verification
} catch {
print("Couldn't read receipt data with error: " + error.localizedDescription)
}
}
Once you have the receipt data, you need to send it to your server. This step is crucial because the verification process should be performed on a secure server to prevent tampering. Your server will then forward the receipt data to Apple's verification server.
Your server should send a request to Apple’s verification server at the following URL:
https://buy.itunes.apple.com/verifyReceipt
https://sandbox.itunes.apple.com/verifyReceipt
The request should include the receipt data and your app’s shared secret for subscriptions. Here's an example using Swift's URLSession
to send the receipt data:
Apple’s response will include the status of the receipt and, if valid, the receipt’s details. Your server should parse this response and take appropriate action, such as granting the purchased content or renewing a subscription.
let requestDictionary: [String: Any] = ["receipt-data": receiptString, "password": "your_shared_secret"]
guard JSONSerialization.isValidJSONObject(requestDictionary) else { return }
do {
let requestData = try JSONSerialization.data(withJSONObject: requestDictionary, options: [])
let storeURL = URL(string: "https://buy.itunes.apple.com/verifyReceipt")!
var request = URLRequest(url: storeURL)
request.httpMethod = "POST"
request.httpBody = requestData
request.setValue("application/json", forHTTPHeaderField: "Content-Type")
let task = URLSession.shared.dataTask(with: request) { data, response, error in
guard error == nil, let data = data else {
print("Error verifying receipt: \(error?.localizedDescription ?? "No data")")
return
}
// Process the verification response
}
task.resume()
} catch {
print("JSON serialization failed: \(error.localizedDescription)")
}
The responseBody JSON payload can be daunting (example), especially if the receipt belongs to an end-user with a lengthy past purchase history.
It turns out, that there are somewhere between 3 and 7 top-level keys in the verifyReceipt responseBody JSON data structure. Here are the keys:
Some of the top-level keys are present only in certain circumstances. Here’s a summary of each top-level key, what it is, and when you should expect to see it in the responseBody:
Let’s dig into each of these top-level elements in detail, starting with response metadata keys: status, is-retryable, environment.
Upon received a response from verifyReceipt, the first thing you should do is check that status key. If the value is 0, the receipt is valid. Otherwise, an error occurred and you will need to interpret the status code to know what to do next.
ProTip: Notice that the resolution to a number of the status codes is to retry later. It’s important that your receipt validation service is robust enough to handle a wide variety of scenarios including: network timeouts, HTTP status codes such as 503, and also status codes embedded in the return payload of a HTTP 200 response. In some of these cases, you may want to to support retry logic to try again immediately. If you still failed to validate the receipt, you may want to add them to job queue for a future processing attempt.
If the Apple status value is within the range of 21100-21199, the is-retryable key should be present in the response payload. Apple’s documentation says the type is boolean, but the provided values are 0 and 1, not the proper JSON boolean values of true and false.
The environment value tells you which Apple environment the receipt was generated from.
Now let’s look beyond the metadata into the primary keys containing the responseBody’s substance: receipt, latest_receipt_info, pending_renewal_info.
The value of receipt, a key within the decoded receipt response, is a JSON object containing the decoded receipt data.
This key always exists, whether a user has made an in-app purchase or not.
In fact, if you follow the best practice and send receipt data from your app to a server you will end up storing and decoding (via receipt validation) many receipts, containing this receipt key with certain metadata even if there have be no in-app purchases.
Consider the history of the App Store. It was built atop the foundations of the iTunes Music Store. On iTunes, an email receipt was sent to the user whether the song or album cost money or was free. This lineage carried on to the App Store, where in the early days there were just two types of apps: paid and free.
Once in-app purchases were added, additional context was introduced to this data structure. In fact, it contains the full context you need to understand the purchase.
Now, with the advent of subscriptions things have gotten a bit more complicated. Some context about the subscription in-app purchase exists in this data structure, but some does not. For auto-renewable subscriptions, you will find additional context inside the latest_receipt_info and pending_renewal_info top level keys which we go into more detail later in this article.
Jump to an element-by-element breakdown of the receipt data structure.
The latest Base64 encoded app receipt. This field is only returned if the app receipts contains an auto-renewable subscriptions.
An array of JSON objects representing in-app purchase transactions for auto-renewable subscriptions. This field is only returned if the app receipts contains an auto-renewable subscriptions.
ProTip: If your verifyReceipt request includes the field exclude-old-transactions set to true, only the latest auto-renewable subscription transaction will be included in this field in the response.
Jump to an element-by-element breakdown of the latest_receipt_info data structure.
An array of JSON objects representing open (pending) or failed auto-renewable subscription renewals as identified by the product_id. This field is only returned for app receipts that contain auto-renewable subscriptions.
Jump to an element-by-element breakdown of the pending_renewal_info data structure.
Let’s take a look at all of the possible elements you may encounter in the receipt JSON object.
A unique 64-bit long integer generated by App Store Connect. This is used by the App Store to unique identify the app associated with the receipt.
In production, expect a unique identifier. In sandbox, this field will be populated with a 0.
The current version of the app installed on the user’s device at the time of the receipt’s receipt_creation_date_ms. The version number is based upon the CFBundleVersion (iOS) or CFBundleShortVersionString (macOS) from the Info.plist.
In the sandbox, the value is always “1.0”.
The bundle identifier for the app to which the receipt belongs. You provide this string on App Store Connect and it corresponds to the value of CFBundleIdentifier in the Info.plist file of the app.
A unique identifier for the app download transaction.
While not well documented by Apple, this unique value appears to be tied to the download transaction represented by original_application_version and original_purchase_date.
In production, expect a unique identifier. In sandbox, this field has been observed to be populated with a 0.
The time the receipt expires for apps purchased through the Volume Purchase Program (VPP).
See expiration_date
See expiration_date
An array containing in-app purchase receipt fields for all in-app purchase transactions.
The original version of the app installed on the user’s device. For example, if the current app version is 2.0 but the user originally had version 1.8 installed, this value would be “1.8”. For the current version installed, see application_version.
The version number is based upon the CFBundleVersion (iOS) or CFBundleShortVersionString (macOS) from the Info.plist.
In the sandbox, the value is always “1.0”.
The time of the original app purchase.
The time the user ordered the app available for pre-order. This field is only present if the user pre-orders the app.
See preorder_date
See preorder_date
The time the App Store generated the receipt.
The type of receipt generated. The value corresponds to the environment in which the App Store or VPP purchase was made.
The time the request to the verifyReceipt endpoint was processed and the response was generated.
See request_date
See request_date
An arbitrary number that identifies a revision of your app. In the sandbox, this key's value is “0”.
An array of JSON object(s) found at latest_receipt_info contains in-app purchase transactions for auto-renewable subscriptions. This field is only returned if the app receipts contains an auto-renewable subscriptions.
ProTip: If your verifyReceipt request includes the field exclude-old-transactions set to true, only the latest auto-renewable subscription transaction will be included in this field in the response.
The time of the subscription was canceled. This can happen for one of the following reasons:
The reason for a refunded transaction. When a customer cancels a transaction, the App Store gives them a refund and provides a value for this key.
The time a subscription expires or when it will renew.
See expires_date
See expires_date
Indicates whether the user is the purchaser of the product, or is a family member with access to the product through Family Sharing.
Indicates whether or not an auto-renewable subscription is in the introductory price period.
An indicator of whether a subscription is in the free trial period.
Indicates a subscription has been canceled due to an upgrade. Only present for upgrade transactions.
Check cancellation_date to determine when the cancellation occurred.
The reference name of a subscription offer that you configured in App Store Connect. Present when a customer redeemed a subscription offer code.
The time of the original auto-renewable subscription purchase.
The transaction identifier of the original purchase.
The unique identifier for the product purchased as configured for that product in App Store Connect.
The identifier of the subscription offer redeemed by the user.
The time the App Store charged the user’s account for a subscription purchase or renewal.
See purchase_date
See purchase_date
The number of consumable products purchased. Included but meaningless in the latest_receipt_info data structure, which is for auto-renewable subscriptions only. Likely an artifact from Apple internally sharing data structures between responseBody.receipt.in_app and responseBody.latest_receipt_info.
The identifier of the subscription group to which the subscription belongs.
A unique identifier for purchase events across devices, including subscription-renewal events. This value is the primary key for identifying subscription purchases.
A unique identifier for a transaction such as a purchase, restore, or renewal.
If transaction_id and original_transaction_id match, the transaction is a purchase. Otherwise, the transaction is a restore or renewal.
The array of JSON object(s) found at pending_renewal_info for open (pending) or failed auto-renewable subscription renewals includes a number of possible fields. Let’s take a look.
The product identifier for the customer’s pending subscription renewal, if the user has downgraded or crossgraded to a subscription of a different duration for the subsequent subscription period.
The renewal status for the auto-renewable subscription.
If this value is “0”, the customer is showing a likelihood to churn out of the subscription at the end of the current renewal period. A best practice is to present the user with an attractive upgrade or downgrade offer in the same subscription group.
The reason a subscription expired.
If this value is “1”, you may want to offer the user an alternative subscription or a “winback” offer.
If the value is “2”, you may want to prompt them to subscribe to the same product again since they churned involuntarily.
The time at which the grace period for subscription renewals expires.
Indicates whether the user’s auto-renewable subscription is in the billing retry period.
If the value is “1”, consider prompting the user to update their billing information.
The reference name of a subscription offer that you configured in App Store Connect. Present when a customer redeemed a subscription offer code.
The transaction identifier of the original purchase.
The price consent status for a subscription price increase.
The unique identifier for the product purchased as configured for that product in App Store Connect.
Throughout the Apple decoded receipt payload, you will find three different date formats expressed whenever a date is provided:
What is ISO 8601-like? Apple documentation refers to “a date-time format similar to the ISO 8601” and “an RFC 3339 date”. In reality it’s not strictly either. The timezone part of the string make it difficult to convert these string-based date formats into date time object using common libraries which except ISO 8601 or other common standards.
Why Apple uses this specific non-standard format is probably an esoteric story related to the origins of NeXT or WebObjects.
To dive deeper into these three formats, let’s take a look at the date found at responseBody.receipt.receipt_creation_date. This is date the receipt was created expressed in the ISO 8601-like format relative to Greenwich Meantime (GMT).
Each base date key has two modifiers: _pst and _ms with the ISO 8601-like PST and Milliseconds since Unix epoch representations.
responseBody.receipt.receipt_creation_date_pst is an ISO 8601-like date relative to Pacific Standard Time (PST). Please note, even though the timezone modifier is provided in the format America/Los_Angeles instead of a UTC offset, the date provided is indeed Pacific Standard Time. Your code needs to be careful during Pacific Daylight Time (PDT), since this value will still be a Pacific Standard Time date.
responseBody.receipt.receipt_creation_date_ms is when the receipt was created in the number of milliseconds since the Unix epoch time. The _ms modifier for all date fields in an Apple decoded receipt is the far easiest to work with. Most modern languages can convert this to a native date time object out of the box or with commonly used libraries.
VPP stands for Volume Purchase Program. It's essentially how Apple provides an App Store-like experience for educational institutions or businesses to acquire and deploy apps at scale. As it relates to this article, some receipt fields only show up or contain values for transactions that occur on the VPP store.
As this guide illustrates, understanding the decoded receipt is complicated. So is the code necessary to store, validate, and make meaning out of the decoded receipt so you can properly manage your paid customer base.
The esoteric and sometimes arcane receipt response is the result of years of change and new features bolted on to the App Store year after year. It’s incredibly complex to write rock solid code to manage receipts and leverage all the App Store ecosystem has to offer related to in-app purchase and subscription monetization.
That’s where Nami can help. We’ve built a complete service to help you sell in-app purchases or subscriptions. In addition to a variety of features, we handle all client and server side details involving the receipt. In fact, you also don't have to write a single line of StoreKit 1 or StoreKit 2 code.
Our code has encountered many of the hard to test edge cases you’ll see encounter over time if you do-it-yourself. Our service has extensive test coverage and operates at scale.
This means you can stay focused on building your app experience. If you’re interested in learning more, we’d love to chat.
No-code solutions are revolutionizing the way businesses approach software development. For a VP of Engineering, adopting a no-code solution can bring numerous benefits, including faster development time, increased collaboration, cost savings, and increased flexibility.
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