data · open source
Conversion Rate Optimisation with PostgreSQL
Conversion Rate Optimisation built on PostgreSQL, chosen where it genuinely fits, and swapped where it does not.
- Category
- data
- Vendor
- Open source
- Alternatives we also use
- 4
Why PostgreSQL for this
Most CRO failures are statistical. Tests called after two days on low traffic are noise, and acting on noise makes the site worse while everyone celebrates.
PostgreSQL is strongest at it handles far more workload than teams expect, with one operational model. For conversion rate optimisation 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 start from the constraint, not the capability, what the system must never do, who signs off, and what happens when it is wrong.
You own the code, the models where they are open-weight, and the documentation to run it without us.
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
- Funnel analysis to find where people actually leave
- Session recordings and heatmaps read against real user tasks
- Hypotheses ranked by expected impact and effort
- Tests sized so they can reach significance on your traffic
- Implementation of winners, and removal of losers
- Reporting that counts revenue, not just conversion percentage
Questions
How long does a test need?
Long enough to reach significance on your traffic and conversion rate, commonly two to four weeks. If your volume cannot support a test, we say so and recommend research-led changes instead.
What is a good conversion rate?
It depends so heavily on industry, traffic source and price point that benchmarks mislead. The useful comparison is your own rate over time.
Should we do CRO or buy more traffic?
CRO first when you have meaningful traffic that converts poorly. It compounds with every future rupee of ad spend.
Alternatives for conversion rate optimisation
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