The Results at a Glance
145%
Increase in daily transaction frequency
Revenue transactions increased from an average of 0.35 per day between 12–31 August to 0.86 per day between 1–7 September.
3 Paid Subscribers
Acquired in just 7 days
The app recorded 3 new paid subscription events from 1–7 September, compared with 2 during the preceding 20-day period.
First Annual Subscription
A higher-value customer converted
On 6 September, the app recorded its first annual subscription in the available dataset, priced at €89.99, with €63.22 in developer proceeds.
The Brief
Getting an app onto the App Store is one thing. Getting someone to understand it, download it and eventually pay for it is considerably harder.
We worked with a live transcription app that converts spoken conversations into text in real time and supports more than 100 languages and dialects.
The product already had a useful proposition, particularly for users who needed speech-to-text transcription during meetings, lectures, conversations or noisy environments. The problem was that the App Store listing did not communicate those benefits as clearly or as persuasively as it could.
Our task was to improve the app’s App Store Optimisation strategy, with a particular focus on how the app was positioned and described.
The goal was not simply to make the listing longer or insert more keywords. It was to make the product easier to understand at a glance, while aligning the copy more closely with the way potential users actually search.
The Challenge
The transcription category is crowded.
Users searching for terms around live transcription, speech-to-text or voice transcription are presented with multiple apps offering variations of the same core functionality.
That creates two separate challenges.
The first is discoverability. The app needs to appear for relevant searches.
The second is conversion. Once someone reaches the product page, the listing needs to give them enough reason to download the app rather than return to the search results and choose a competitor.
The original description explained what the app could do, but it was more feature-led than user-led.
A visitor could see that it offered transcription, but the listing could do a better job of answering the more important question: Why would I use this?
What We Changed
We rewrote the App Store description around the situations in which live transcription becomes genuinely useful.
Instead of relying on generic feature language, the revised copy brought real use cases much closer to the top of the listing.
The positioning placed greater emphasis on:
- following conversations in real time
- converting speech into readable text instantly
- meetings and lectures
- noisy environments
- transcript history
- support for more than 100 languages and dialects
- everyday communication use cases
We also tightened the opening section so that someone scanning the listing could understand the core proposition within the first few lines.
Search-relevant phrases including live transcription, speech to text, real-time transcription and conversation transcription were incorporated more deliberately, while keeping the copy readable.
The aim was to create a listing that worked for both App Store search and the person reading it.
The Early Data
The available RevenueCat dataset covers 12 August to early September 2026.
Although this is still an early-stage app with relatively small absolute numbers, the change in activity during the reporting period was noticeable.
Between 12 and 31 August, the app recorded:
- 7 revenue transactions
- US$40.61 in RevenueCat revenue
- 2 new paid subscription events
Both new paid subscriptions during this period came through trial conversions.
From 1 to 7 September, the app recorded:
- 6 revenue transactions
- US$132.64 in RevenueCat revenue
- 3 new paid subscription events
In practical terms, the app generated almost as many revenue transactions in seven days as it had during the previous 20-day reporting window.
Daily Transaction Frequency Increased by 145%
We deliberately looked beyond revenue alone. For a young subscription app, one large transaction can make topline revenue appear far stronger than the underlying business actually is.
Transaction frequency provides a more useful indication of whether paying activity is becoming more consistent.
Between 12 and 31 August, the app averaged approximately:
0.35 revenue transactions per day
Between 1 and 7 September, this increased to:
0.86 transactions per day
That is an increase of approximately 145%.
The percentage itself needs to be viewed in the context of a small user base, but the pattern behind it is more interesting.
Revenue was starting to occur more frequently.
Revenue Began Appearing on Consecutive Days
During the second half of August, transactions appeared on individual days with gaps in between.
Revenue was recorded on:
17 August
18 August
21 August
24 August
25 August
28 August
31 August
By early September, the gaps had narrowed.
Revenue appeared on:
1 September
4 September
5 September
6 September
7 September
8 September
From 4 to 8 September, the app therefore recorded revenue on five consecutive days.
For an app still developing its subscriber base, this shift from sporadic purchases towards recurring transaction activity is an encouraging sign.
Paid Subscriber Acquisition Accelerated
The same pattern appeared in new paid subscriptions.
Between 12 and 31 August, the app recorded 2 new paid subscription events.
Between 1 and 7 September, it recorded 3.
That means the app acquired more new paid subscribers in a seven-day period than it had during the preceding 20 days.
On a daily basis, the rate moved from approximately:
0.10 new paid subscriptions per day
to:
0.43 per day
We would not extrapolate this into a long-term growth forecast yet. At this stage, a small number of customers can move the percentages dramatically.
What matters is that several commercial indicators started moving in the same direction.
The First Annual Subscription
One of the most notable conversions arrived on 6 September.
App Store Connect recorded an annual subscription purchase in the Netherlands at €89.99, generating €63.22 in developer proceeds.
This matters because the paying subscriber base in the available snapshot was otherwise weighted towards weekly subscriptions.
An annual subscription represents a very different level of commitment.
Rather than testing the product one week at a time, the customer chose to pay for a longer period upfront.
For a relatively new subscription app, that is an important milestone.
The Revenue Spike Was Not the Whole Story
The annual subscription created a significant revenue spike on 6 September.
It would be misleading, however, to use that transaction alone as evidence that ASO performance had improved.
The more useful signal is what happened around it.
The app was already generating transactions before the annual purchase, and revenue continued immediately afterward.
On 7 September, revenue was recorded again.
On 8 September, RevenueCat showed another 2 transactions, generating US$10.82.
This suggests the stronger September performance was not simply the result of one high-value customer.
There was also more regular activity underneath it.
What Can We Attribute to ASO?
There is an important distinction between correlation and attribution.
App performance can be affected by more than its App Store description.
Keyword rankings, reviews, product updates, paid acquisition, referral traffic, seasonality and normal fluctuations can all influence downloads and subscriptions.
For that reason, we would not claim that changing the listing directly caused every subsequent transaction.
What we can say is that the optimisation work was followed by a clearly stronger period of monetisation.
The app subsequently recorded:
- higher transaction frequency
- faster paid subscriber acquisition
- continued trial-to-paid conversion
- revenue on consecutive days, &
- its first recorded annual subscriber
Taken together, these are encouraging early indicators.
Why We Treat ASO as More Than Keyword Optimisation
A common mistake in App Store Optimisation is to focus almost entirely on rankings.
Ranking for a keyword is useful, but visibility alone does not generate revenue.
The listing still needs to persuade someone to take the next step.
For subscription apps, that journey looks more like:
Search → Product Page → Download → Trial → Paid Subscription
A weak product page can lose users even if the app ranks well.
That is why we approached this project as both an SEO problem and a conversion problem.
The copy needed to match relevant searches, but it also needed to make the product feel immediately useful.
The Outcome
The reporting period is still early, so we are deliberately cautious about drawing long-term conclusions.
What we can see is a clear improvement in commercial activity during the later period.
Daily transaction frequency increased by approximately 145%.
The app acquired 3 new paid subscribers within seven days, compared with 2 during the previous 20-day period.
Revenue began appearing on consecutive days.
And the app recorded its first annual subscriber.
For a young subscription product, this is exactly the kind of early movement we want to see after refining its App Store positioning.
What’s Next
The next stage is to build a more complete view of the funnel.
We will continue tracking:
- App Store impressions
- product page views
- first-time downloads
- keyword visibility
- download-to-trial conversion
- trial-to-paid conversion
- weekly versus annual subscription mix
- subscriber retention
- billing retry and churn
- revenue per download
This will allow future ASO work to become increasingly precise.
Rather than simply asking whether rankings improved, we can identify where users are entering the funnel, where they are dropping off and which changes are actually contributing to commercial growth.
Key Takeaway
ASO should not stop at getting an app found.
The real opportunity is improving what happens after a potential customer reaches the listing.
In this case, clearer positioning and more conversion-focused App Store copy were followed by a period of stronger subscription activity, including a 145% increase in daily transaction frequency, faster paid subscriber acquisition and the app’s first annual conversion.