data · open source
App Store Optimisation (ASO) with PostgreSQL
App Store Optimisation (ASO) built on PostgreSQL, chosen where it genuinely fits, and swapped where it does not.
- Category
- data
- Vendor
- Open source
- Alternatives we also use
- 3
Why PostgreSQL for this
Play and App Store rank on different signals and reward different things. A single listing copied across both leaves ranking on the table in at least one of them.
PostgreSQL is strongest at it handles far more workload than teams expect, with one operational model. For app store optimisation (aso) that matters because the failure modes of this kind of system tend to cluster exactly there.
The honest trade-off: genuine analytical workloads past a certain scale belong in a warehouse. We say that up front because a stack chosen for fashion rather than fit becomes someone's migration project two years later. We build the smallest thing that proves the case, put it in front of real users, and expand only what earns its keep.
Six weeks to something running in production, not six quarters to a strategy document.
The honest assessment
- What it is
- Our default database, relational, JSON, full-text and vector in one engine.
- Strongest at
- it handles far more workload than teams expect, with one operational model
- Trade-off
- genuine analytical workloads past a certain scale belong in a warehouse
- Category
- data
We are not a reseller for PostgreSQL and hold no commission on this choice. Where a different option fits your workload better, the recommendation will say so. That is the entire value of asking us.
What is included
- Keyword research against real store search behaviour in your category
- Title, subtitle and description written for both ranking and reading
- Screenshot and icon variants tested rather than chosen by opinion
- Listing localisation for the Indian languages your users search in
- Review response strategy and rating recovery
- Install-conversion measurement per traffic source
Questions
How long before ASO shows results?
Listing conversion changes show within days of a test reaching volume. Keyword ranking movement takes weeks, and both need enough install volume to read reliably.
Is ASO a substitute for paid installs?
No. It makes paid installs cheaper. Better listing conversion lowers your effective cost per install on the traffic you are already buying.
Can you fix a low rating?
Partly. Responding to reviews, fixing what they actually complain about, and prompting satisfied users at the right moment all help. There is no shortcut around an app people dislike.
Alternatives for app store optimisation (aso)
Same capability, different stack. Each page states its own trade-off.
Building with PostgreSQL?
Bring us the workload and we will tell you whether this is the right stack for it.
Or email bd@dtrasglobal.com · call +91 74118 77878