Services
Four disciplines, run by one team.
Most engagements use more than one of these. That is usually the point — an acquisition problem is often a landing-page problem, and a landing-page problem is often a data problem.
Performance marketing
We run full-funnel paid social and video for retail brands. Creative is treated as the main lever, because it is — most accounts are constrained by what the ad says, not by how the budget is split.
What that includes
- Account structure, budget allocation and bid strategy
- Creative strategy and a standing test queue
- Catalog and product feed setup for dynamic formats
- Server-side tracking — Conversions API, events, deduplication
- Landing page and offer testing against the same metric
- Weekly reporting a founder can actually read
Web development
The campaign is only as good as the page it lands on. We build storefronts and marketing sites where performance, merchandising and measurement are designed together rather than bolted on afterwards.
What that includes
- Shopify themes and custom storefront builds
- Headless commerce on Next.js
- Marketing sites and landing systems
- Core Web Vitals and page-speed work
- Analytics instrumentation and event design
- A/B testing setup and readout
Apps & deployment
We build and operate real software — Shopify apps, internal tools, APIs and mobile apps — including the unglamorous parts: pipelines, migrations, monitoring and the handover that makes it someone's job on Monday.
What that includes
- Shopify public and custom apps
- Web and mobile applications
- APIs, integrations and data pipelines
- CI/CD, containers and cloud deployment
- Logging, monitoring and alerting
- Documentation and operational handover
AI, GenAI & Agentic AI
We build AI into products where it changes a number — matching, tagging, generating, deciding. Every build ships with evaluations, because a model that cannot be measured cannot be improved or trusted in production.
What that includes
- Retrieval and semantic search over product catalogs
- Generative pipelines for creative and copy at volume
- Agentic workflows that take actions in live systems
- Evaluation harnesses and regression suites
- Cost, latency and token-budget engineering
- Model selection and migration
How we work
The same four stages on every engagement, whether it’s an ad account or a piece of software.
- 01
Diagnose
We read the accounts, the storefront and the data before proposing anything. Most engagements start by finding the constraint, and it is rarely the one in the brief.
- 02
Build
We ship the smallest version that proves the model — a creative angle, a landing route, a working feature — and put it in front of real traffic instead of a deck.
- 03
Scale
What works gets budget and infrastructure. What does not gets cut on schedule rather than defended. The reporting is built so that call is obvious.
- 04
Operate
Software we build is software we keep running — monitoring, iteration and a documented handover whenever a brand wants to take it in-house.
Not sure which of these you need?
Neither are most brands when they first get in touch. Describe the problem and we’ll tell you which discipline it actually belongs to — including when the answer is none of them.
Or email support@optivox.org