Check the acquisition promise
Read the store headline, screenshots and description. What problem is the app promising to solve?
Study the storefront ↗Erik Sigth · iOS
Explore the ad evidence, study the storefront, and build your next acquisition hypothesis.
01 / Creative research
Read the store headline, screenshots and description. What problem is the app promising to solve?
Study the storefront ↗Explore apps with direct store-link matches. Compare their hooks and formats without assuming the same approach works here.
Browse observed advertisers ↗Store rankings and revenue estimates describe market context. They do not establish ad spend, conversions or ROAS.
Review the market context ↗02 / Storefront & product
Study the product story and store experience behind the acquisition funnel.
03 / Market context
Keep revenue, downloads and store rankings separate from advertising performance.
But this review is about strng. High quality, minimal ui. I own this app, and the other 3 apps in the bundle is the same price as buying them separately.
I think I paid $3 for this app, but it’s easily worth $20. Simple intuitive interface reminiscent of the op-1 string synth. I love the new update, excited to try the rest of the bundle. Thanks dude I love your work!
Occasionally an inexpensive app proves to be indispensable and it restores your faith in cheap apps, which is then disappointed by buying many useless cheap apps hoping each will reward your willingness to invest in them but instead just use up memory. Given the price you might assume that there is a bigger, better app to do what this one does. There isn’t. Now w/ AUv3 support this is the bigger, better app. Nothing else does strings like this. Laplace is closest but, as it’s not focused on strings it does not give the explicit control over string parameters the way this app does. I cannot replicate the sound with anything else. This should cost $10-$15 if compared to similar quality apps.
Strng is a string synthesiser inspired by the karplus-strong algorithm. The physical modelling starts with a short burst of noise that then guided by...