9 mobile #growthgems π from "Subscription apps fundamentals" by @Thomasbcn at the last (virtual) @AppGrowthSummit Berlin 
π #1
There are very different kinds of subscriptions, and the retention tactics/levers are entirely different for each subcategory:
- Content - music, books, video, comics, news, etc.
- Motivation - health & fitness, dating, education
- Utilities - video editors, dropbox etc.
There are very different kinds of subscriptions, and the retention tactics/levers are entirely different for each subcategory:
- Content - music, books, video, comics, news, etc.
- Motivation - health & fitness, dating, education
- Utilities - video editors, dropbox etc.
π #2
Subscriptions align users and developers' interests. People will keep paying if you keep providing them value.
Example of Evernote: as you use it more, it becomes even more valuable and that's when the subscription model makes the most sense.
Subscriptions align users and developers' interests. People will keep paying if you keep providing them value.
Example of Evernote: as you use it more, it becomes even more valuable and that's when the subscription model makes the most sense.
π #3
When looking at retention for your subscription apps, segment your users based on their subscription status (free users, trialists, paying users) and re-engage them accordingly. Because your retention curves are going to look very different depending on subscription status.
When looking at retention for your subscription apps, segment your users based on their subscription status (free users, trialists, paying users) and re-engage them accordingly. Because your retention curves are going to look very different depending on subscription status.
π #4
Pay particular attention not only to LTV/ARPPU but also to when the money is coming back.
Yearly subscription: all the revenue for the year comes in on the first day.
Monthly subscription: maybe a higher LTV but you need to "finance" the cash flow several months ahead.
Pay particular attention not only to LTV/ARPPU but also to when the money is coming back.
Yearly subscription: all the revenue for the year comes in on the first day.
Monthly subscription: maybe a higher LTV but you need to "finance" the cash flow several months ahead.
π #5
Iterate on your paywall itself but also optimize on what happens before users reach the paywall and all the communication before you show prices. How people reach the paywall can have at least as much impact.
Iterate on your paywall itself but also optimize on what happens before users reach the paywall and all the communication before you show prices. How people reach the paywall can have at least as much impact.
π #6
Don't measure only the impact on your initial funnel, but also the long term impact. Measuring only the impact of paywall changes on trials and uplift is risky because forcing the conversion too much can hurt both long term LTV (renewals, refunds) and user retention.
Don't measure only the impact on your initial funnel, but also the long term impact. Measuring only the impact of paywall changes on trials and uplift is risky because forcing the conversion too much can hurt both long term LTV (renewals, refunds) and user retention.
π #7
Try to focus a lot on the experience you provide to free users. Focusing only on paid subscribers can have a negative impact on organic and ASO. You don't want to ignore 90-95% of your users.
Try to focus a lot on the experience you provide to free users. Focusing only on paid subscribers can have a negative impact on organic and ASO. You don't want to ignore 90-95% of your users.
π #8
Communicate clearly and carefully about the free trial. You might even want to avoid focusing too much on the free trial in external communications because it might create more bad reviews and worst retention from users that only want "free".
Communicate clearly and carefully about the free trial. You might even want to avoid focusing too much on the free trial in external communications because it might create more bad reviews and worst retention from users that only want "free".
π #9
FB Value Optimization is rarely a good fit for subscription apps (vs. app event optimization) because you have low variance between users: they are either paying, or they are not. You do not have whales.
FB Value Optimization is rarely a good fit for subscription apps (vs. app event optimization) because you have low variance between users: they are either paying, or they are not. You do not have whales.
That's all, folks!
I won't lie, mining βοΈ long-form resources to extract mobile growth insights π takes time.
If you enjoyed it, please share π
I also have a free newsletter every other Tuesday growthgems.co/free-newsletteβ¦
I'm going back down for more gems π β Sylvain
I won't lie, mining βοΈ long-form resources to extract mobile growth insights π takes time.
If you enjoyed it, please share π
I also have a free newsletter every other Tuesday growthgems.co/free-newsletteβ¦
I'm going back down for more gems π β Sylvain
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