AI Digital Marketing
Campaigns and content driven by measurable signal.
Campaign generation, audience analysis and content pipelines driven by measurable signal.
Capabilities you get
Brand-voice content pipeline
Drafts follow your style guide and pass through human review before publishing.
Audience insight
Clustering and analysis of customer data reveals segments worth targeting.
Automated reporting
Weekly performance summaries pulled from every channel into one readable report.
Fixed scope, fixed price
Well-defined work is quoted at a fixed price, and anything exploratory is time-boxed with a clear checkpoint.
You own everything
Code, designs, documentation and data belong to you from the day they are created.
Named senior engineer
One accountable person who knows your system, rather than a rotating cast.
Overview
Campaign generation, audience analysis and content pipelines driven by measurable signal.
We build content pipelines, audience analysis and reporting automation that keep brand voice consistent while reducing production time.
How we approach ai digital marketing
We begin with the data and the decision, not the model. Before choosing any technology we map where the work actually happens, what “correct” looks like, and what the system must do when it is unsure. Every build includes an evaluation set drawn from your real cases, so quality is measured rather than asserted, and every automated action has a defined path to a human when confidence is low.
What success looks like
More consistent output, sharper audience targeting and spend tied to results. We agree the measures that define success with you in the first week, report against them throughout, and review them together after launch.
How the engagement runs
- Discovery — a short, paid phase that ends with a scope, an architecture and a fixed estimate you own whether or not you continue with us.
- Build — weekly working releases, a shared backlog and a named lead engineer you can reach directly.
- Launch and support — staged rollout, handover training and a defined support period afterwards.
What you walk away with
- A working ai digital marketing solution in production
- Evaluation set and quality benchmarks built from your real cases
- Production deployment with monitoring, logging and cost controls
- Human-handover and escalation paths for low-confidence cases
- Prompt, retrieval and workflow documentation your team can maintain
- Security review covering data handling, access and retention
- Handover training and a 30-day post-launch tuning period
Common questions
- How long does ai digital marketing usually take?
- Typically 3–6 weeks, depending on scope and how many systems are involved. Discovery produces a firm timeline before you commit to the build.
- What does ai digital marketing cost?
- Engagements typically start from $5,000. We quote fixed prices for well-defined scope and give you a written estimate at the end of discovery, with every assumption listed.
- Will our data be used to train third-party models?
- No. We use providers and configurations that do not train on your data, and we can deploy against models hosted in your own cloud account where policy requires it. Data-handling terms are agreed in writing before any build starts.
- How do you measure whether it is actually working?
- We build an evaluation set from your real cases during discovery and score every release against it. You see the same numbers we do — accuracy, resolution rate, escalation rate and cost per interaction — on a live dashboard.