Email Marketing Automation
Behaviour-triggered sequences with content production and consent enforced in the sending path.
What this is
Lifecycle messaging driven by what customers actually do rather than a static list, with AI-assisted content production under human approval and consent checks enforced where the message is sent, not where the campaign is configured.
What this solves
If more than one of these is familiar, there is usually a case worth scoping.
- Everyone receives the same message regardless of behaviour.
- Content production is the bottleneck on everything the team wants to test.
- Nobody can tell which content or segment drove the result.
- Consent is tracked in one system and sending happens in another.
The shape of the build
Indicative. The final design follows your systems, data and constraints.
- Segment
Audiences built from transactional and engagement behaviour, refreshed automatically.
- Produce
On-brand variants generated from approved prior work and product data.
- Approve
Nothing customer-facing publishes without human review.
- Trigger
Sequences fired by behaviour: onboarding, retention, winback, renewal.
- Enforce and measure
Consent and frequency checks in the sending path; results attributed by variant and segment.
What is included
Deliverables you receive, in your own infrastructure and repositories.
- Behaviour-based segmentation from your own data
- Content generation grounded in brand guidelines and product data
- Approval workflow with versioning
- Triggered lifecycle sequences across email and WhatsApp
- Consent, preference and frequency enforcement at send time
- Attribution reporting by content variant and segment
What changes once it is live
Operational changes you should expect. We measure the specific numbers for your business rather than quoting generic figures.
- Messages that reflect what the customer actually did
- More variants tested without more production time
- Consent respected regardless of how a campaign was configured
- Clear evidence of which content and segment performed
How we run the engagement
Discovery
Process walkthroughs, data review, constraints and a written scope you sign off before build.
Architecture
Data model, integration boundaries, hosting and the security model, agreed up front.
Proof of concept
A narrow build on your real data against an agreed quality bar, so the go-ahead is evidence-based.
Development
Two-week increments, each ending in a working deployment and a review.
Testing
Automated coverage on critical paths, evaluation sets for AI behaviour, acceptance testing with your users.
Deployment
Staged rollout into your infrastructure with monitoring and a tested rollback path.
Monitoring & support
Quality, cost and latency tracking after launch, with handover documentation or an ongoing retainer.
Email Marketing Automation — FAQs
Does this replace our email platform?
No. We integrate with the platform you use for sending and consent, and add segmentation, generation and measurement around it.
Will AI content sound generic?
Not when grounded in your approved prior work with human approval in the loop. The aim is faster production of your voice, not a neutral one.
How is consent handled?
Checks sit in the sending path, so a message cannot reach someone who has opted out, whatever the campaign configuration says.
The services behind this solution
AI for Marketing & Customer Engagement
Segmentation, content production and lifecycle messaging grounded in your data and brand rules.
Read moreGenerative AI Development
LLM-powered applications and copilots grounded in your content, with evaluation before launch.
Read moreAPI Development & System Integration
Documented APIs and integration layers that keep your systems consistent without manual re-entry.
Read moreData Engineering & Enterprise Technology
Pipelines, warehouses, dashboards and database work that make reporting consistent and fast.
Read more