What We Deliver

Marketing Services

Custom marketing software development, stack architecture, CRM integration, and performance instrumentation — for teams ready to engineer their marketing.

Talk to Our Engineering Team

500+

Products Delivered

400+

Clients Served

13+

Years Building Software

GDPR

Compliant

Our Services

Four ways we engineer your marketing

Custom Marketing Software Development

Build channel-native marketing apps (email, SMS, WhatsApp, push, in-app) tuned to your customer lifecycle and revenue model. Engineering, not theme-tweaking.

  • Custom workflow builders
  • Channel adapters (email/SMS/WA/push)
  • Multi-tenant SaaS architecture
  • GDPR/DPDP/CCPA baked in

MarTech Stack Architecture

Design and implement a marketing tech stack that grows with you. CDP, CRM, email/SMS/WhatsApp, attribution, analytics — picked for fit, not for the trade-show booth.

  • Stack diagnosis + audit
  • Vendor selection support
  • Data flow + identity graph
  • Cost optimization

CRM & Stack Integration

Two-way sync between your marketing tools and HubSpot, Salesforce, Pipedrive, Zoho, Marketo, ActiveCampaign. Real-time event delivery, no batched delays.

  • Native two-way sync
  • Real-time webhook delivery
  • Field-level mapping UI
  • Failure retry + dead-letter queue

Performance Instrumentation

Make every campaign, channel, and dollar measurable. Server-side tracking deployment, first-party identity graph, attribution model tuning, dashboards that reveal truth.

  • Server-side tracking deploy
  • GA4 / Meta CAPI / GAds Enhanced
  • Multi-touch attribution tuning
  • Revenue-per-channel dashboards
How We Work

Most marketing technology problems are data problems wearing a campaign

A team asks for a better email tool and the real issue is that customer records exist in four systems with no agreed identity between them. Another wants attribution reporting, and the underlying problem is that events were named inconsistently over three years by four different people. Marketing software is unusual in how often the presenting complaint and the actual cause sit in completely different places, which is why buying another platform so rarely fixes it.

So our engineering starts underneath the campaign layer. What is the customer record, and which system owns it. How is identity resolved across an anonymous visitor, an email subscriber and a logged-in account. What is the event taxonomy, who governs it, and what happens when someone ships a new event without telling anyone. Getting these right makes the tooling above almost interchangeable; getting them wrong means every new platform inherits the same mess in a new interface.

The engineering discipline matters here more than it usually gets. Marketing systems send things to real people — an unfiltered test send, a loop that fires a message every time a webhook retries, a segment that accidentally matches the entire database. These are not hypothetical; they are the standard failure modes. We build the guardrails as part of the system: send caps, suppression lists that cannot be bypassed, environment separation that makes production sends from a test context impossible rather than merely discouraged.

We have delivered 500+ products for 400+ clients across six countries since 2013. In marketing work that history mostly shows up as knowing which integrations are advertised but shallow, which platforms make data extraction difficult once you are inside them, and where a small internal tool beats another subscription. Engineers integrate into your existing sprints and review process, clear technical and trial rounds before joining, and work under NDA from the start.

Engagement

How a marketing engineering project actually runs

01

Audit What Exists

Every tool, every integration, every event currently being tracked and whether anyone still uses it. Most stacks contain several things nobody has opened in a year.

02

Identity & Event Model

Define the customer record, how identity resolves across channels, and a governed event taxonomy. Everything downstream depends on this being agreed.

03

Build & Instrument

Sprints with code review, plus verification that events actually fire correctly in production — tracking that was never validated is the norm, not the exception.

04

Handover to Marketers

The team should be able to build campaigns and read reports without an engineer. If every change needs a ticket, the project has not finished.

Questions

Frequently Asked Questions

What marketing teams ask us before an engagement starts.

What does custom marketing software actually solve?

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Usually one of three things: a workflow no off-the-shelf platform supports without heavy configuration, an integration between systems that do not talk to each other properly, or reporting that requires joining data no single vendor holds. If your requirement is standard email marketing or basic automation, a good product will beat anything custom on cost and reliability, and we will tell you that. Custom is justified where the process is genuinely specific to your business.

How do you approach marketing stack architecture?

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By establishing where the customer record lives and making everything else subscribe to it, rather than letting each tool maintain its own version of the customer. That usually means a warehouse or a customer data platform as the source of truth, with a governed event schema flowing outward. The alternative — every tool syncing bilaterally with every other tool — grows unmanageable at around five integrations and is the state most stacks are actually in.

Can you fix our tracking and attribution?

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Frequently, though the honest scope is larger than teams expect. It normally involves rebuilding the event taxonomy, implementing server-side tracking where browser signals are unreliable, and reconciling numbers between platforms that will never fully agree — because they genuinely measure different things with different attribution windows. We will help you understand which discrepancies are real problems and which are expected, which is often the more useful outcome.

How do you handle consent, GDPR and privacy rules?

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Consent state is stored with the customer record and enforced at send time rather than at collection time, because a preference recorded in a cookie banner that no downstream system checks is not consent in any meaningful sense. That includes honouring deletion and export requests across every connected system, and applying regional rules — GDPR, CCPA, and India's DPDP Act — based on where the person is rather than where you are. OpenMalo is GDPR compliant; the obligations for your customer data remain yours, and we build the controls to meet them.

Do you integrate with our existing CRM and tools?

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Yes — Salesforce, HubSpot, Zoho and Dynamics on the CRM side, plus the usual analytics, advertising and messaging platforms. Worth setting expectations: published integrations are often shallower than the marketing page implies, API rate limits shape what is achievable in real time, and some platforms make bulk data extraction deliberately awkward. We check those constraints during discovery rather than discovering them mid-build.

How do you avoid sending something to the wrong list?

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By making it structurally difficult rather than relying on care. Separate environments where production credentials are not present in test, suppression lists applied at the send layer so they cannot be bypassed by a segment definition, hard volume caps that require deliberate override, and a mandatory preview against a real sample before any broadcast. Every marketing team has a story about this; the ones who do not have controls simply have not had theirs yet.

Do you work with our existing engineering team?

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That is the usual arrangement — engineers join your sprints, repository and review process rather than working separately. There is a one-week trial so fit is proven on your codebase, and you interview each engineer before committing. Marketing engineering in particular benefits from this, because the work touches so many systems your team already understands better than any newcomer will initially.

Who owns the code and the data afterwards?

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You do, on payment — source, infrastructure configuration and documentation. Platform accounts and repositories belong in your organisation's name from the start. Data portability is a design requirement rather than an afterthought: you should be able to export your customer records and event history in a standard format without our involvement or a vendor's permission.

Ready to engineer your marketing stack?

Book a 30-minute scoping call — we'll map your stack, surface integration gaps, and propose a delivery plan with real timelines.