We built Nami to help app developers succeed in the modern App Economy.
According to AppAnnie, fewer than 3,000 apps are making more than one million dollars a year via paid downloads, in-app purchases, or subscriptions. That means far too many apps succumb to selling their users’ data or showing annoying ads.
"The mobile app industry is struggling to build a healthy paid customer base. We want to give app publishers the tools they need to win." - Joe Pezzillo, Co-Founder Nami ML
We think there has to be a better way. It starts with embracing subscriptions. After all, the best churn insurance is a healthy customer base. Paying customers pay for a reason— because they value what an app has to offer.
As app publishers transition to subscriptions, there’s something missing…
A Missing Solution: The Mobile Paywall
App publishers have plenty of tools at their disposal but nothing to help them manage their mobile app’s paywall. The vast majority of apps prompt their users for the sale via screens that are custom built. Custom screens are only a part of the problem, though. Also hard coded is the business logic governing when a user should be prompted to upgrade.
Mobile apps today rely on hard coded purchase prompts that are inflexible, often ugly, and nag the user at exactly the wrong moment.
This means that for the vast majority of apps require an app update to change any aspect of the paywall from marketing copy, promotional artwork, business rules, and even the very products that are being offered for sale. As a consequence, product teams are unable to experiment or evolve their sales strategy efficiently.
We believe there’s a huge opportunity to level up apps of all kinds with a much better point of sale experience. A better experience that’s flexible, beautiful, focused on the user, and yes…revenue producing.
Nami provides app publishers for the first time a way to manage their mobile app paywalls via a cloud-based platform. Gone are the days of hard coded sales screens that require app updates to make changes, let alone experiment. Once a developer installs Nami, product teams take control of all aspects of the point of sale offering the flexibility and control that’s been sorely missing.
You can update marketing copy, what products are for sale, and even the look and feel of the paywall. How are changes impacting your app? See what’s working or not by monitoring paywall performance trends. Nami doesn’t just support one paywall. Now your app can have many paywalls and that creates an opportunity…
Nami is a SaaS platform empowering app publishers to fully manage, measure, and optimize mobile subscription revenue using smart paywalls.
In Tune With The Customer Journey
Multiple paywalls mean that for the first time you can nurture your user towards conversion using creative, content, timing, and positioning that is aligned to the customer journey stage. For example, why not offer a ‘welcome’ paywall that’s most appropriate when the user is just starting out with your app? How about a paywall that is invoked when the user explicitly taps to learn more about your paid products?
Each of these scenarios is made possible with Nami campaigns. Campaigns goes even further. Say you want to offer your users a promotion. Nami supports flash sales so you can temporarily suspend your business as usual campaign, and temporarily run a sale.
“Nami makes it easier than ever to generate mobile app subscription revenue by giving publishers more flexibility and control.” - Dan Burcaw, Co-Founder & CEO Nami ML
We Didn’t Stop There: Harnessing On-Device Intelligence
Machine learning is providing organizations with new ways to unlock business value. At Nami, we’re using ML in various parts of the platform to help us deliver a great experience for our customers. The iOS and Android ecosystems now provide the technology underpinnings to run machine learning models on-device, which facilitates strong user privacy and performance.
One way we’re using on-device intelligence is with a display time optimization feature. Rather than bombard users with an up-sell at every turn, you can now show your paywall only when it’s an opportune time. Nami uses an on-device machine learning model to score a user’s propensity to purchase. That score gets used to show the paywall only when the user is more likely to buy.
“On-device intelligence allows Nami to help our customers optimize revenue using machine learning while also protecting user privacy.” - Alejandro Cantarero, CTO Nami ML
Design is such a crucial element to the success or failure of modern mobile apps. As Apple regularly points out, design is not just how something looks but also how it works. For app paywalls, developers end up spending too much time integrating and testing with the underlying transaction engine (e.g. Apple’s StoreKit), leaving little time to focus on design.
Nami gives app publishers the opportunity to elevate their mobile paywall experience. Built-in layouts offer a library of common user experience patterns that can be married to beautiful user interface elements and artwork. These themes can be customized, allowing your creative teams to provide artwork that is consistent with your own brand guidelines.
If you’re a development or design agency, please reach out as we’d love to work with you to grow the library of off-the-shelf themes available for our customers. In addition to what’s offered out of the box, we’re happy to work with your creative team or agency to craft a custom paywall design language for your mobile app.
We couldn’t be more excited to bring Nami into the world. The platform is available to select iOS app publishers starting today. If you’re interested, please reach out and we’ll be in touch.
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We couldn’t be more excited to bring Nami into the world. The platform is available to select iOS app publishers starting today. If you’re interested, please reach out and we’ll be in touch.
Our latest Nami release has shipped to help you deliver even better subscription-based experiences on Apple iOS. This release includes new features and improvements to our backend APIs, the Control Center, and our SDK.
Paywall Controls
You can now use the Nami Control Center to manage whether your paywalls show Restore or Sign-in controls.
Restore allows your users to restore previously bought in-app purchases so they don’t need to purchase again.
Note: Apple App Review currently requires Restore Purchases functionality on your paywall.
Tip: The Nami SDK provides a Restore Purchase callback in NamiStoreKitHelper so you can present messaging when the restore flow is complete.
Sign-In give your users a way to authenticate with your system and access paid products purchased outside of the App Store ecosystem, such as via your web site.
Tip: If you only sell subscriptions via your mobile app, you should turn off the Sign-In control.
Pro Tip: If you want to use Sign-In, the Nami SDK provides a callback so you can implement your sign-in workflow.
You can now use the Nami Control Center to manage whether your paywalls show Terms of Use and/or Privacy Policy links.
Pro Tip: Apple App Review requires that you provide a Terms of Use and Privacy Policy somewhere within your app, but they are not required on your paywall.
Additionally, if you’d like to display specific Purchase Terms directly on your paywall, just enter the language under your paywall’s legal tab.
Apple SDK Improvements
Paywall links for Terms and Privacy Policy now open in-app Safari browser
Built for Xcode 10.3, if you still use Xcode 10.2 use framework located in Xcode10-2 folder.
Apple devices, our native paywall component now supports Dark Mode.
We also have added support for roadblock paywalls. This is essential for apps requiring users to start a free trial or start a subscription before accessing a certain section of your app.
This release also includes a number of updates to the Nami SDK:
Dark Mode UI improvements in Nami paywalls.
Add ability to create blocking paywalls.
Use iOS Keychain internally to record purchases.
Improved recognition of running environment to allow for more similar call flow between sandbox/simulator and production use.
Removed internal checks for deprecated UIWebView in application.
For simulator builds, bypassStorekit mode is automatically enabled to avoid confusion when testing purchases.
Improved sending of purchase signals.
Improved processing of multiple adjacent transactions from StoreKit.
Xcode 11 now used for primary framework builds, Xcode 10.3 frameworks in Xcode10-3 folder.
Added environment to cart signals sent to Nami, so testing purchases can be checked with Nami.
Fixed issue found with ML data collection.
Fix consumable product consumption in SDK, so that purchases are not remembered.
Compiled framework to optimize for smaller build size.
The latest release of the Nami SDK for Apple is now available on GitHub.
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As always, we welcome your questions, comments, or requests via email.
Come See the Company’s Unique Mobile Subscription Intelligence Technology in Action
SAN FRANCISCO, Calif.--(PRWeb)--Nami ML, a new startup transforming the use of in-app purchases (IAP) and subscriptions in mobile apps, announced that it will be exhibiting at TechCrunch Disrupt SF 2019 in Startup Alley on Wednesday, October 2nd, as part of the cohort of companies in the AI/ML category.
“We’re thrilled to...share our vision for helping customers succeed in the App Economy.” — Dan Burcaw, Co-Founder & CEO Nami ML
Dan Burcaw, Co-Founder and CEO of Nami, shared that, “We’re thrilled to be among other startups, investors and the press to share our vision for helping customers succeed in the app economy.”
Nami ML’s platform and SDK empower Mobile App Publishers to tackle the challenges of making money with apps by growing in-app and subscription revenue in three key ways.
First, Nami makes it easy to implement mobile app store capabilities, dramatically reducing the amount of time developers need to spend coding and testing.
Second, the Nami ML cloud-based platform gives marketers newfound capabilities to manage product offers and creative elements in their apps using a hosted service, instead of requiring constant developer updates.
Perhaps most importantly, Nami’s pioneering use of on-device machine learning to identify revenue behaviors in apps unlocks the promise of growing app revenue automatically in a way that protects End User privacy.
“Consumers are long since tired of being tracked pervasively” — Joe Pezzillo, Co-Founder and Chairman, Nami ML
“Consumers are long since tired of being tracked pervasively by every advertiser,” explained Joe Pezzillo, the other Co-Founder and Chairman of Nami, “so we’ve built a platform that deeply respects end user privacy and makes it possible for app publishers to sell their apps, not their users.”
This is the second company jointly founded by Burcaw and Pezzillo. Their prior startup, mobile notification provider Push IO, was sold to Oracle, where they helped build and sell the Oracle Marketing Cloud’s B2C mobile product.
Nami spent more than a year in stealth mode and finally unveiled their platform at Apple’s Worldwide Developers Conference in June of this year. The Company has raised a pre-seed round of more than half a million dollars from WndrCo alongside strategic investors with experience at Apple, Oracle, Samsung, WPP and more.
For complete information on the Nami™ platform and how it can help App Publishers grow revenue, visit the website at https://nami.ml to learn more, request a demo and sign up today.
Nami ML is a trademark of Nami ML Inc., all other trademarks are property of their respective owners.
BOULDER, Colo.--(PRWeb)-- To celebrate the release of Apple’s latest iOS and iPad OS release, Nami ML has updated their Mobile Revenue Automation platform with support for Apple’s newest operating systems.
“There’s always tremendous excitement whenever Apple releases new products, and the release of iOS 13 and iPadOS is no exception,” explains Dan Burcaw, CEO and Co-Founder of Nami ML. “To succeed in today’s app economy, it’s critically important for our customers to quickly adopt the latest OS releases to grow their business, and we know our platform must help them at every step.”
“To succeed in today’s app economy, it’s critically important...to quickly adopt the latest OS” — Dan Burcaw, Co-Founder & CEO Nami ML
Nami ML’s platform and SDK empower Mobile App Publishers to tackle the challenges of making money with apps by growing in-app and subscription revenue in three key ways.
First, Nami makes it easy to implement Apple’s StoreKit capabilities, dramatically reducing the amount of time developers need to spend coding and testing.
Second, the Nami ML platform gives marketers newfound capabilities to manage product offers and creative elements in their apps using a hosted service, instead of requiring constant developer updates.
Perhaps most importantly, Nami’s pioneering use of on-device machine learning to identify revenue behaviors in apps unlocks the promise of growing app revenue automatically in a way that protects End User privacy.
Burcaw summarized, “End Users are tired of being sold as the product and resent having their personal data exposed via ads and pervasive tracking. Using the Nami platform, App Publishers can sell their apps, not their users, and succeed without selling out.”
For complete information on the Nami™ platform and how it can help App Publishers grow revenue, visit the website at https://nami.ml to learn more, request a demo and sign up today.
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Nami is a trademark of Nami ML Inc. All other trademarks are property of their respective owners.
We're excited to announce the latest Nami release has shipped!
This release includes new partner integrations with Adobe Analytics and Google Analytics, official support for iOS 13 & iPadOS 13 and a whole lot more.
Analytics Integrations
This release helps you overlay subscription purchase context, paywall impressions and more with your preferred analytics solution.
While we have certified this integration with Adobe Analytics and Google Analytics, you can actually apply the solution to pretty much any analytics package with a mobile SDK.
We think this will give our customers a lot of flexibility to use the tools they already use while also bringing in critical new context to better understand key metrics like LTV and also to help inform marketing spend on acquisition campaigns.
