A marketing agency runs campaigns and configures tools. A MarTech engineering partner designs the architecture those tools run on and writes the code they can't. HALO is the second kind. We staff full-stack developers and DevOps alongside marketing operations, and the work runs from object models and integrations to custom platform builds.
Every stack becomes a system. We design yours with purpose.
The full growth engine, from acquisition to retention, engineered to run as one system. The discipline of software, applied to a system most companies never designed on purpose.
You run a dozen tools across the funnel. CRM and automation. Analytics and CRO. A CDP, a personalization engine, the content platform, the ad stack. Each one earns its keep alone. None of them share a customer, a definition, or a signal.
So a campaign can't act on what the website just learned. Personalization runs on last month's data. CRO wins on the landing page never reach the nurture. Marketing reports one number, finance reports another, and leadership trusts neither.
The failure is one level down, in the architecture. The object model nobody drew. The data contracts nobody wrote. The integrations you were told were native. That is where growth stalls and campaigns underperform and no one can say why. That layer is what we build.
Our Differentiators
Marketing technology is a systems problem. We build it like software.
Most agencies in this category came up through marketing and learned the tools. We came up through engineering and learned the revenue. We staff a MarTech project the way we staff a platform build: full-stack developers and DevOps beside marketing operations, working off one object model. When configuration runs out of road, we write the module. When a team needs a hundred pages, we build the generator that produces them from data. Architecture before automation. We have held that line through more than two hundred WordPress-to-HubSpot migrations, across CRMs holding millions of records, on HubSpot, Dynamics 365, Drupal, Klaviyo, and Pardot.
Model comes before the workflows
Bad object model, good automation, wrong answers at scale. We start above the automation. What counts as a customer. What counts as an opportunity. Which system owns each field, and what happens when two disagree. Get the model right and the workflows follow. Get it wrong and no automation saves you.
GTM Engineers build inside your platform
Most partners configure what the platform ships and stop there. We write what it doesn't have. Custom modules. Serverless functions. Page generators that turn a HubDB table into a live, SEO-ready page with no template touched. That is standard scope here. Your build does what the business needs. A configured default never gets there.
Growth compounds when systems connect
Acquisition, CRO, personalization, and lifecycle perform better wired together than run alone. A conversion win on the landing page should reshape who the next campaign targets, and behavioral signal from the site should reach personalization while it still matters. Most stacks let each win die at the handoff. We build the connections that carry it downstream, so growth accumulates instead of resetting.
A forensic read before a build
We take the existing system apart the way an engineer reads inherited code. One client swore a migration killed their leads. It didn't. The leads were landing. The tracking broke in the cutover, so the pipeline only looked thin. Another had a checkout form failing because a script loaded three times and blocked the button. A strategy deck never finds that. Measurement does.
Attribution your CFO will sign
Attribution only counts if the person holding the budget believes it. We build it with finance in the room. Shared definitions. One agreed model. Revenue traced to source, signed off by both teams. Paid, organic, and product touches hit the same records. The number survives the budget meeting. Marketing stops defending it and starts spending against it.
Platform-agnostic by design
We work across the whole stack. HubSpot, Klaviyo, Braze, Segment, Dynamics 365, VWO, and dozens more, with deep specialists on the platforms a client runs on. A single-platform shop has one answer to every question, because it only sells one system. We start from your stack and your revenue model instead. Sometimes the move is a new build. Sometimes it is connecting what you already own. The recommendation is never the platform we happen to resell.
The full growth engine. Engineered to run as one system.
From CRM architecture to conversion and retention, every capability connects to the next. Whether you're fixing a disconnected stack, scaling campaigns across channels, or chasing revenue that leaks between tools, we cover the full surface area of modern marketing technology.
Deep vertical expertise. Real project history.
A revenue system takes its shape from the business. A regulated data model in financial services is not the unit economics of a commerce catalog, and neither is a product-led motion in enterprise software. We have built inside all of them, on HubSpot and past it. The context changes the design. The standard holds.
Healthcare & Life Sciences – An integrative-health brand had strong email engagement and no idea it was decaying. Our forensic audit caught the decline, the missing segmentation, and analytics that disagreed across systems. We stood up HubSpot as the CRM, marketing, and content platform, and moved the email program and the blog onto it.
Financial & Professional Services — A benefits-administration firm on the Microsoft stack came to us around a site launch. We validated GA4 and GTM against the new build, mapped its behavioral data into Dynamics 365 Customer Insights, planned the redirects, and aligned the site's cookie handling with what its consent banner claimed. All under a GDPR data-processing agreement.
Retail & Commerce — Forensic work here ends in a number. We modeled the revenue sitting in unrecovered carts and the lift a real segmentation strategy would return, then connected the commerce platform to the CRM. Now those programs fire on what a customer did, not what a marketer guessed.
Real Estate — An operator ran hundreds of near-identical property sites and reported a lead drop after a migration. The diagnosis mattered more than the assumption. We followed the funnel to the step that broke, separated a real demand dip from attribution that came apart in the cutover, and fixed it at the template so one repair carried every site.
Frequently AskedQuestions
Start with a forensic audit before deciding either way. HALO reviews how your systems exchange data, where tracking breaks, and what each gap costs in revenue, then returns a plan that says plainly whether you need repairs or a rebuild. Cleanup fixes symptoms. Re-architecting fixes the cause, and the audit tells you which one you're facing.
They count against different definitions, different date logic, and different source systems, so each side is right and neither agrees. HALO fixes this at the architecture level: one written definition per metric, and attribution reconciled to the closed revenue both teams can see. The disagreement stops being a standing meeting.
Most configure what the platform provides and stop at its limits. HALO builds past them. Custom modules, serverless functions, and page generators that produce pages from a data source are standard scope on our engagements. When HubSpot can't do something natively, we write the code that makes it, so the system fits your business instead of the reverse.
It depends on your revenue model, and HALO starts there, not from a platform we resell. We're platform-agnostic and work across HubSpot, Dynamics 365, Klaviyo, Braze, and more, so sometimes the right move is consolidating onto one system and sometimes it's connecting the tools you already run well. A single-platform shop only has one of those answers.
Most run in weeks, not months, and what breaks is redirects, tracking, and form routing when nobody plans for them. HALO has completed more than two hundred WordPress-to-HubSpot migrations. We map every page and field first, prioritize redirects by traffic and search value, rehearse against production data, and cut over with a rollback plan.
Those look identical on a dashboard and cost very different amounts to fix, so HALO diagnoses before prescribing. We trace the funnel from first view to form submission and confirm each handoff into the CRM. On more than one engagement, the "lost" leads were arriving fine and the tracking had broken in the cutover.
The traffic you already have can convert better, and HALO treats that as engineering. We run structured experimentation, A/B and multivariate tests with funnel and session analysis, and we fix the technical drags too. On one site, a script loading three times was blocking form submissions no redesign would have recovered. Every test carries a metric and the data behind it.
Yes. HALO builds page generators on HubDB and serverless functionality that produce pages from a structured data source, with SEO, tracking, and brand rules inherited automatically. A hundred new pages becomes a data exercise your marketing team runs, not a hundred separate builds. The system holds the standard, so every page comes out correct.
Not the way HALO builds it. We write down the naming conventions, the permission logic, and the reasoning behind each decision, then train your team before handoff. Most RevOps decay traces to a system only its builder understood. We design against that from the start, so the setup holds a year later with your people running it.
