Nami Co-Founder & CEO Dan Burcaw joins CHURN.FM, with host Andrew Michael, to discuss the unique churn challenges mobile subscription businesses face and how to tackle them. From involuntary churn to the different risks and concerns that companies like Spotify and Netflix might face by charging their customers outside the mobile app ecosystem.
Nami Co-Founder & CEO Dan Burcaw joins CHURN.FM, with host Andrew Michael, to discuss the unique churn challenges mobile subscription businesses face and how to tackle them.
Here's the episode synopsis:
In this episode, we talked about what drove Dan to build Nami ML, the unique involuntary churn scenarios with mobile apps on iTunes and Google Play stores. We also discussed the different risks and concerns that companies like Spotify and Netflix might face by charging their customers outside the mobile app ecosystem, and what role churn and retention played during the acquisition of Dan’s previous company.
Listen on Apple Podcasts, Spotify, Google or check out the CHURN.FM episode page.
Design beautiful paywalls right in the browser. No code needed to manage your customer's in-app purchase journey. Launch a paywall and let Nami takes care of the rest.
No-code paywalls are a huge part of what makes the Nami platform so valuable for our customers. With just a couple lines of code to setup our SDK and then invoke the paywall, developers and app publishers are able to start selling in-app purchases and subscriptions to their customers on Android and Apple devices without having to write any code to process the transactions or manage the complexity of the subscription lifecycle.
Today we are adding even more power and flexibility to our no-code paywall solution by introducing styles.
Prior to the introduction of styles, Nami users were limited to matching their brand on the purchase screen by selecting imagery and uploading it as a background.
Now you can reflect your brand on the purchase screen by adjusting the many styles on the paywall to match your brand palette, including the colors of all fonts, buttons, and the bottom overlay on the paywall.
Let’s start by opening up the Cloud Paywall Creator in the Nami Control Center.
Simply look for the Theme subsection at the end of each screen where you modify the content and design of your paywall. You’ll now see new options to adjust colors and font sizes. Click on a color label to open up the color picker.
Additionally, all text now has the options to add a shadow. Simply turn on the toggle next to Shadow for each text field that you wish to have a shadow. Select a radius and color that works with your designs. See the changes previewed right away our our Paywall Previewer in the web browser.
Add the paywall to a live campaign and click Update and you’ll see the changes reflected in your mobile app right away.
Have really great imagery that you really want to highlight in the design of your paywall? Simply switch off the toggle for Use Bottom Overlay and it will go away, placing the buttons for your in-app purchase products directly on the image.
Drawing attention to your most popular SKUs can both help in increasing conversion rates on your paywalls and increasing revenue by driving users to select different SKUs that may reduce churn rates or increase conversions from free trials with your users.
We have introduced 2 new features to help you put the focus where you want it.
You’ll find both of these options on the Products section of the paywall. Put your SKUs in the right order and change the color of your best seller!
If you already spent all your time hunting for the best image for your purchase screen, open the eyedropper tool to select colors directly from your image into any color picker tool in the paywall design. Quickly match the rest of your paywall to the image you’ve selected.
Have a designer that can help you make your paywalls even better or want to reuse a great style you already built in another paywall? No problem. Use the export button on the Overview tab to get a JSON of all your styles. Modify it and then import it into the paywall to get all your style information right away.
Happy designing and we are excited to see the beautiful designs you are able to pull together using our new tools!
Please note that to fully leverage the new style options requires that your are using the following versions of our mobile platforms.
If you still have users that are using an older version of the SDK, paywalls will display in the old style with no font size or color changes.
Nami iOS Architect Kendall Gelner will be providing a virtual deep dive on what’s new with Xcode 12, iOS 14 and StoreKit Testing at Mobile Optimized 2020.
Nami iOS Architect Kendall Gelner will be providing a virtual deep dive on what’s new with Xcode 12, iOS 14 and StoreKit Testing at Mobile Optimized 2020.
With the release of Xcode 12 and iOS 14, Apple has made the range of StoreKit scenarios you can test much wider, and made StoreKit testing easier in both the simulator and on device. In this talk we'll explore the new recommended test flow for StoreKit purchases, from simulator StoreKit setup to device testing accounts and explain what kind of scenarios are good ideas to test.
MobileOptimized 2020 https://moconf.dev/ is the online edition of the annual community driven international tech conference dedicated to mobile development, organized by SPACE together with GDG Minsk and CocoaHeads Belarus communities.
This year the conference goes online on November 6-7, the agenda will be spread over two days, 4 hours each (4pm-8pm GMT+3), with two tracks: Android Track and iOS Track.
Join Nami iOS Architect Kendall Gelner as he talks about the practical use of the new features added to Xcode 12 and iOS 14 that provide a very different StoreKit purchase testing flow than used to be possible.
With the release of Xcode 12 and iOS 14, Apple has made the range of StoreKit scenarios you can test much wider, and made StoreKit testing easier in both the simulator and on device. In this talk we'll explore the new recommended test flow for StoreKit purchases, from simulator StoreKit setup to device testing accounts and explain what kind of scenarios are good ideas to test.
iOSDevCampDC 2020 is a one-day, one-track conference focused on Apple platform and Swift development held virtually this year.
Nami ML announced a major milestone with the collection of more than a billion ML training data points for its on-device revenue optimization algorithms.
DENVER, CO: Nami ML (“Nami™”), a provider of an advanced mobile app revenue automation platform powered by on-device machine learning, announced today that it has crossed a major milestone: the collection of more than a billion discrete data points for training its advanced proprietary revenue algorithms.
“This milestone demonstrates Nami’s ability to achieve results for our customers, especially right now when so many people are using their mobile devices more than ever before,” explained Dan Burcaw, Nami’s CEO and Co-Founder. “We’ve proven our platform operates at the scale required for the largest mobile apps while simultaneously protecting end-user privacy and are now ready to move into the next phase of helping app publishers optimize their in-app purchase and subscription revenue."
Since launching its SDK in Spring of 2020, Nami has rapidly expanded its footprint of installed devices through both at scale and small publishers. Of note, media and entertainment and health and wellness categories that have shown substantial growth during a time of increased at-home app usage.
The amount of data collected is a critical measure for any machine learning business, and the speed with which it can be collected drives important time to market considerations about how quickly a model shows statistical significance. Nami uses this data to tune its machine learning platform to help predict and convert mobile app users who are displaying behaviors indicative of purchase intent. Similarly, Nami’s models also provide an early-warning system for detecting users likely to churn.
Nami’s CTO, Alejandro Cantarero adds, “while the specific data points we collect are proprietary, we are proud to have architected the platform in a way that makes end-user privacy central to our design, yet still allows us to collect exactly the insights we need to help mobile app publishers grow their subscription services.” Dr. Cantarero, who earned his Ph.D. in mathematics from UCLA, joined the Nami team last year after leaving his position of VP of Data for the LA Times.
Nami’s platform is ideally suited to businesses that sell subscriptions in their mobile apps, but also works for a range of digitally delivered in-app purchases, including consumables. Interested mobile app developers are encouraged to sign up for a free account today at https://nami.ml or schedule a demonstration by emailing sales@namiml.com or calling +001-321-754-NAMI.
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Nami is a trademark of Nami ML Inc., all other trademarks are property of their respective owners.
Nami co-founder & CEO joined Code Story to talk about his tech journey and the origin story behind Nami ML.
Nami co-founder & CEO joined Code Story to talk about his tech journey and the origin story behind Nami ML.
Here is the episode synopsis.
Tech and entrepreneurship has always been super intertwined in Dan Burcaw’s life – through his family, and starting to tinker with computers in the 90’s. He played Baseball when he was younger, along with playing video games and interestingly enough.. keeping up with foreign policy (is that a hobby?). Currently, Dan studies Brazilian Jujitsu and its endless progress of growth and evolvement, while taking care of his 2 pets (and their 3 eyes… you’ll have to ask him). His prior company was in the push notifications world, which became a mission critical system for notifications, ultimately bought by Oracle. Afterwards, he and his co-founder started looking at the way people monetize their apps, specifically diving into subscriptions. In doing so, they found out that there weren’t many app millionaires in existence – so, they set out to build a better way to sell subscriptions inside app experiences, not only by abstracting the tech bits, but by using machine learning to prompt users at just the right time. This is the story of Nami ML.
Listen on Apple Podcasts or visit the episode page.