data · open source
Email & Lifecycle Marketing with PostgreSQL
Email & Lifecycle Marketing built on PostgreSQL, chosen where it genuinely fits, and swapped where it does not.
- Category
- data
- Vendor
- Open source
- Alternatives we also use
- 5
Why PostgreSQL for this
Open rates have become unreliable as a metric. We report revenue per recipient, which is harder to flatter and far more useful.
PostgreSQL is strongest at it handles far more workload than teams expect, with one operational model. For email & lifecycle marketing 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.
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
- Deliverability foundation, SPF, DKIM, DMARC and list hygiene before any sending
- Segmentation based on behaviour rather than demographics alone
- Triggered flows: welcome, abandoned cart, post-purchase, win-back
- WhatsApp lifecycle where opt-in and template rules allow it
- Testing on subject, send time and offer with real significance thresholds
- Revenue-per-recipient reporting, not open rates alone
Questions
Email or WhatsApp in India?
Both, for different jobs. WhatsApp has far higher open rates and stricter rules and costs; email carries longer content and costs almost nothing. Transactional and urgent goes to WhatsApp, considered content to email.
Our emails land in spam. Fixable?
Usually. It is typically authentication records, list quality, or sending patterns rather than content. The audit identifies which, and reputation recovers with disciplined sending.
How often should we send?
Frequency matters less than relevance. Segmented sending to people who want it can be weekly; blasting everyone monthly still generates complaints.
Alternatives for email & lifecycle marketing
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
