How Apple’s App Tracking Transparency Affects Developers — Shamanth Rao, RocketShip HQ
Sub Club by RevenueCat
How Do You Approach Blended Spend as a Source of Truth?
The past five or six years were, its way, more focused on a very aled return on adspan. So how are you approaching blended spend ar blended metrix to measure these things? Ye i i becom e blended metric. Iwil like modern or new writ it what old school of an advertising worth.
Watch the video version of this show on YouTube »
Shamanth Rao is the founder and CEO at Rocketship HQ. Shamanth also hosts the Mobile User Acquisition Show podcast, and is the lead instructor for the Mobile Growth Lab workshop series.
RocketShip HQ is a boutique growth marketing firm with 8 figures in managed spend. Before founding RocketshipHQ, Shamanth led growth marketing resulting in 3 exits: Bash Gaming (sold for $170mm), Puzzle Social (acquired by Zynga), and FreshPlanet (acquired by Gameloft). Shamanth has also helped many other mobile apps grow and scale.
Shamanth is passionate about teaching and sharing everything he’s learned about mobile growth. Much of his time and energy goes into the Mobile User Acquisition Show. Shamanth strives to ensure that the wisdom he’s gained reaches as many people as possible.
In this episode, you’ll learn:
- The history of user acquisition and algorithmic targeting
- How Apple’s AppTrackingTransparency has shifted users to Android
- What Apple’s new tracking policy means for developers
- Are subscription apps impacted more than other apps by Apple’s tracking policy?
Links & Resources
- A Brief History of App Store Monetization episode – with David Barnard
- A Brief History of Device Identification episode – with David Philippson
- iOS 14 & IDFA Deprecation How App Marketers Must Adapt - YouTube
Shamanth Rao’s Links
- RocketShip HQ’s website
- The Mobile User Acquisition Show
- Mobile Growth Lab
- Follow Shamanth on Twitter
- Shamanth Rao’s website
Follow us on Twitter:
Episode Transcript
Shamanth: 00:00:00
The more signal you give to the algorithm, the better the algorithm performs, right? You know, in the post AppTrackingTransparency world, if you gain more purchases, the better the algorithm performs, obviously that would take purchases from you and everybody in the world, and it would just do better. Now, obviously it’s just taking your trial and doing much, much better.
David: 00:00:38
Welcome to the sub club podcast. I’m your host, David Bernard, and with me as always Jacob Eiting.
Hello Jacob.
Jacob: 00:00:45
David, glad to be here with you, as always.
David: 00:00:48
Our guest today is Shamanth Rao, founder and CEO at RocketShip HQ, of the podcast Mobile User Acquisition Show, and lead instructor at the workshop series Mobile Growth. Shamanth’s company, RocketShip HQ is a boutique growth marketing agency with eight figures in managed spend. Prior to founding RocketShip HQ Shamanth growth marketing, to three exits. Hey Shamanth.
Welcome to the podcast.
Shamanth: 00:01:16
Honored to be here.
Thank you for having me, David and Jacob.
David: 00:01:19
Yeah. So, I wanted to start with a little bit of a history lesson. You’ve been in mobile advertising and working on mobile apps for, since very early. So, could you take just a couple of minutes and step us through the history of kind of what led us to today with app tracking transparency, and all the different ups and downs and changes that have happened over the past?
Shamanth: 00:01:48
Yeah. There’s been a lot of ups and downs, as you said. I see two overarching trends, but for folks who want to go into the weeds, I would actually recommend two podcast episodes. One was mine with you, David. A brief history of App Store monetization. You provide a very great perspective into how the App Store itself has changed over the years.
The other one was an interview I did with David Phillips, A Brief History of Device Identification You know, we are all about brief histories, but, I think to what we talking about ATT and how essentially disrupted growth in today. There have been two forces that have led up to this point, the last decade or so I think it’s important to know and understand both of these, just to know how we got here and why it’s important, right.
Because ATT just did not happen overnight. There were signs for a decade. And, you know, I think obviously a lot of this is evident in retrospect. but I think it’s helpful to know and understand what those breadcrumbs were.
Trend number one has been increasing accumulation of particular data platforms over the last decade.
You know, I remember, you know, David, as you pointed out, I am a really old person who, which around then, but we don’t advertise. It took off, with all this gray hair. But you know, when I started that we were doing CPC buys, CPM buys. I started doing mobile advertising before Facebook even had mobile ads, app ads.
There is no conversion tracking. you know, I give it like no conversion tracking. If you, would buy installs, and you’re like, oh, we bought 70 stops. We got so many touches that we are profitable and spent like millions on games the time. And suddenly the level of sophistication that emerged in mobile advertising. I don’t think we could have posted in 12, 20 13, 20 14. But like I said, from the TPC buys gradually they have a CPI buys as ad networks that now are billion dollar companies. And so it’s an app love and have a tiny ad networks at the time.
A lot of others basically fell out of the side. know, they, they like, we have enough confidence to be able to build. Rather than just a or impression we have that kind of data, that kind of confidence the next time AEO or purchase optimization. This is 2016, right?
It’s just, it seems so recent. And it’s staggering to think that they could not optimize like athletes if they six, years ago. And that was just the biggest game changer in it. I still remember having a lot of skepticism that this would even work and I’m like, how are they going to find out who’s going to purchase?
They’ve never done it, nobody’s done it. But clearly, if somebody could do it as a Facebook, they had the budget for data. I can only to that point the time I think it became evident to me, myself, that as to why Facebook was so successful. basically have the IDFA that IDFA on Google ID.
They had that idea, with print from on Facebook audience network. So for diva able to predict with ed accuracy, who the purchaser’s book, obviously they took it a step further with relapse optimization, So obviously the more data Facebook’s SDK gun. The better it got predicting who the purchaser as well.
Obviously more data the pixels on the web got the better, the...
The AI-powered Podcast Player
