Lifecycle mapping
We identify the points where customers activate, stall, lapse or churn, and what evidence exists for each. Messaging is designed against those moments rather than against a monthly send schedule.
Digital Marketing
Messages triggered by what the customer did
We map the moments that decide whether someone activates, stays or returns, then build the segmentation, triggers and templates that address those moments without filling an inbox.
Capabilities
What this service delivers
Automation and triggers
Flows are driven by product events, so a message reflects what someone actually did. Entry and exit conditions are written explicitly, which prevents the common failure of a customer receiving onboarding after they have already bought.
Segmentation and data model
Useful segmentation needs reliable attributes reaching the messaging platform. We build the pipeline from your product database or warehouse rather than relying on manually uploaded lists that are stale on arrival.
Deliverability engineering
SPF, DKIM and DMARC alignment, sending domain separation, warm-up and list hygiene decide whether messages arrive at all. This is infrastructure work, and it is usually where a struggling programme is actually failing.
Template development
Responsive, accessible email templates are built and tested across major clients, including dark mode and image blocking. Templates are componentised so a campaign does not require a developer each time.
Reporting and suppression
Engagement is measured per flow with frequency caps and suppression rules enforced centrally. Sending less to disengaged recipients protects the reputation that makes the rest of the programme work.
Technology stack
Tools used for the work
Customer.ioKlaviyoBrazeMailchimpResendPostmarkMJMLPostgreSQLBigQuery
Process
How the engagement runs
01
Map the lifecycle
We chart the journey from first contact to renewal or repeat purchase and mark where customers are lost. Each proposed message is tied to one of those moments and to the action it should produce.
02
Fix the foundations
Authentication records, sending domains, list hygiene and the event pipeline are corrected before new flows launch. Adding volume to a damaged sending reputation makes results worse.
03
Build and launch flows
Templates, triggers, segments and suppression rules are implemented and tested with seeded accounts. Flows are released in stages so their effect can be observed separately.
04
Measure and prune
Each flow is judged on the behaviour it was meant to change, not on opens. Messages that fail to earn their place are rewritten or removed rather than left running quietly.
01
Send fewer, better-timed messages
The instinct when a programme underperforms is to send more. This usually accelerates the decline: recipients disengage, providers observe the disengagement, and inbox placement drops for the messages that were working, including transactional ones people genuinely want.
A lifecycle programme built on product events sends less overall while being more relevant, because a message only fires when something happened. Frequency caps and suppression rules are enforced across all flows so that a customer in three segments does not receive three emails on the same morning.
- Event-driven triggers rather than broadcasts
- Frequency caps across every flow
- Central suppression and quiet hours
- An obvious, honoured unsubscribe path
02
Deliverability is a technical discipline
When email underperforms, the cause is often that it never arrived. SPF, DKIM and DMARC alignment, consistent sending domains, separation of marketing from transactional streams, sensible warm-up and removal of addresses that never engage are what determine placement. None of this is visible in campaign reporting, which cheerfully reports a healthy open rate on the subset that reached an inbox.
We audit authentication and reputation first, monitor complaint and bounce signals, and keep marketing sending away from the domain that carries password resets and receipts. Protecting transactional delivery matters more than any campaign.
03
Lifecycle depends on the data model
A flow can only react to what it knows. If the messaging platform receives a nightly CSV of customers, it cannot send a message when someone abandons setup, and every trigger degrades into an approximation of time elapsed.
We treat the event pipeline as part of the work: defining the events that matter, delivering them reliably, and keeping identity consistent between product, analytics and messaging. That is ordinary engineering, and it is the difference between automation that reflects a customer and a scheduled newsletter with personalisation tokens.
FAQ
Common questions
Which email platform should we use?
It depends on your data model, volume and whether flows need product events. We work with the platform you have where it fits, and will say plainly when it cannot support the programme you want.
Why are our emails going to spam?
Usually authentication gaps, a shared domain carrying both marketing and transactional mail, poor list hygiene or sustained low engagement. An audit identifies which, because the remedies are different.
Can you connect email to our product database?
Yes. Building the event and attribute pipeline from your application or warehouse into the messaging platform is a normal part of the work.
Do you write the emails as well?
Yes, copy and templates are included. Larger editorial pieces linked from a campaign fall under our content marketing service.
How do you avoid over-mailing customers?
Frequency caps, central suppression lists, quiet hours and exit conditions on every flow. These are configured once and enforced across all sends rather than judged campaign by campaign.
Related services
Connected engineering capabilities
Plan a lifecycle & email marketing engagement.
Share the problem, current system and constraints. We will respond with the questions needed to define a credible next step.