data · open source

Google Ads Management with PostgreSQL

Google Ads Management 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

We check conversion tracking before touching a campaign. A shocking share of accounts optimise towards a goal that fires on the wrong event, which means the algorithm has been confidently buying the wrong traffic.

PostgreSQL is strongest at it handles far more workload than teams expect, with one operational model. For google ads management 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. Integration comes before intelligence. A model that cannot reach your systems of record is a demo with good manners.

We hand over with runbooks, tests and a team that knows how it works, not a dependency.

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

  • Conversion tracking verified first. Everything downstream depends on it being right
  • Account structure built for control rather than for automation convenience
  • Negative keyword discipline, reviewed continuously
  • Landing page alignment with ad promise, because Quality Score is earned
  • Budget pacing and bid strategy matched to your margin
  • Reporting on revenue and profit, not clicks and impressions

Questions

What should our budget be?

Enough for the algorithm to learn on your conversion volume, below a certain threshold campaigns never exit learning and performance stays erratic. We size it from your target cost per acquisition and margin rather than guessing.

How do you charge?

A management fee rather than a percentage of spend. Percentage models quietly reward us for spending more of your money, which is the wrong incentive.

Why is our cost per click rising?

Usually competition, but often relevance. Improving landing page alignment and account structure is the lever you control, and it moves the number.

Alternatives for google ads management

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