Marketing automation that runs the whole lifecycle, not just a newsletter
Automation does not create demand. It makes sure the demand you already generate gets followed up the same way every time, at the moment it is worth something rather than three days later.
What is marketing automation?
Marketing Automation is the design and build of campaigns that run on their own from behaviour and data: welcome and nurture sequences, lead scoring, sales handover triggers, win back flows and the reporting behind them. It suits Australian businesses with a steady flow of enquiries who are following up manually, inconsistently, or not at all.
Get a fixed written quote- Typical timeline
- 4 to 8 weeks
- What drives cost
- How many flows you need, how clean your existing contact data is, whether we are writing the content or implementing yours.
- Best for
- Businesses with steady enquiry volume and inconsistent follow up
- You own
- The platform account, the contact data, the templates and the flow logic
- Built with
- Lifecycle mapping, behavioural scoring, consent records, attribution reporting
Your handover
What marketing automation actually automates
The phrase covers a lot of ground, so it helps to be specific about the work. A marketing automation build is a set of defined flows, each with an entry condition, a sequence of actions, exit rules and a measurable job. A welcome flow that establishes what you do and what happens next. A nurture sequence for enquiries who are interested but not ready, which knows to stop the moment someone books a call. A handover trigger that creates a task for the right salesperson when behaviour crosses an agreed threshold. A re engagement flow for contacts who have gone quiet, and a suppression rule that removes them politely when they stay quiet.
- 01Documented lifecycle map with stage definitions
- 02Segmentation model your team can maintain
- 03Built and tested nurture, onboarding and re engagement flows
- 04Two axis lead scoring model calibrated against closed deals
- 05Sales handover triggers and internal notifications
- 06Consent capture, preference centre and suppression rules
- Campaign tagging standard and attribution dashboard
- Test evidence for every flow branch
- Runbook and training recordings for your marketing team
The part clients underestimate is exit logic
The part clients underestimate is exit logic. Most poorly built automation fails not because the emails are bad but because nobody defined when a contact should stop receiving them. Someone signs a contract on Tuesday and gets an email on Wednesday asking whether they are still considering their options. We write exit conditions for every flow before we write a single message, and we test them by pushing sample contacts through each path, including the awkward ones where a person enters two flows in the same hour.
- Welcome and onboarding sequences with a defined end point
- Behaviour triggered nurture with real exit conditions
- Lead scoring and a documented handover threshold to sales
- Internal notifications and task creation, not just outbound email
- Re engagement and suppression rules for contacts who stay cold
- Reporting that ties flows back to pipeline rather than opens
Imported lists are quarantined and reviewed rather than merged straight into your sending audience.
Lead scoring only works if sales and marketing agree on the definition
Scoring is where most implementations quietly go wrong. A model gets built in a workshop, everyone nods, and within a month sales are ignoring the alerts because the leads arriving as hot are students doing assignments and competitors reading your pricing page. Once trust goes, the score becomes decoration.
Intent is what they did: pages viewed, forms completed, emails engaged with, how recently
We build scoring from two separate axes rather than one number. Fit is who they are: industry, company size, state, role, whether they match the customers you actually want. Intent is what they did: pages viewed, forms completed, emails engaged with, how recently. A contact who scores high on intent and low on fit is not a sales lead, it is someone worth keeping in nurture. Splitting the two stops the single score problem where a curious tyre kicker outranks a genuine buyer who visited twice.
Then we calibrate against reality. We run the model retrospectively over the last twelve months of closed deals and see whether it would have flagged them. If your best three customers this year would have scored 20 out of 100, the model is wrong and it is far cheaper to find that out before it starts routing work to your sales team.
How the engagement runs
How a marketing automation build runs
We start with the lifecycle on a whiteboard rather than in the platform, because the sequence of decisions a buyer makes is a business question and the tool is an implementation detail. Once the map is agreed, building it is mostly disciplined configuration and testing.
- 01Lifecycle mappingThe stages a buyer moves through, what triggers each transition and who owns the contact at each point
- 02Data auditWhat fields exist, how clean they are, where consent came from and what can be evidenced
- 03SegmentationThe audiences worth treating differently, kept to a number your team can maintain
- 04Flow designEntry conditions, timing, branches, exit rules and internal notifications documented before build
- 05Content productionMessage copy, templates and landing pages, written or reviewed against the brand voice
- 06Build and testFlows constructed in the platform, then run with seeded test contacts through every branch including the failure paths
- 07MeasurementGoals wired to pipeline stages, dashboards built, and a review scheduled at 30 and 90 days
Two decisions on your side that keep the project moving
The step that consumes the most calendar time is rarely the automation itself. It is copy and consent. Writing eleven emails that sound like a person wrote them takes longer than wiring the flows that send them, and auditing where your existing contacts came from is unglamorous work that occasionally reveals a list you should not be mailing at all. We would rather find that in week two than after a complaint.
Attribution: what you can honestly measure
Every automation platform will happily show you a chart attributing revenue to a campaign. Most of those charts are more confident than the underlying data deserves. A buyer heard about you from a colleague in March, searched your brand in May, clicked a remarketing ad in June and filled in a form after a phone call. Last touch attribution credits the form. First touch credits the ad. Neither is true.
More on attribution: what you can honestly measure
We set expectations up front and instrument what is genuinely knowable. That means clean campaign tagging on every outbound link, offline conversions pushed back from the CRM so closed revenue meets the marketing data, and a self reported source field on your main enquiry form, which is unfashionable and frequently more accurate than the tracking. Where the numbers cannot support a conclusion, the dashboard says so instead of inventing a decimal place.
This work overlaps heavily with analytics implementation and GA4 configuration, and it is worth doing in the same project. Building lifecycle flows on top of measurement nobody trusts means you will spend the next year arguing about the report rather than improving the program.
Consent, the Spam Act 2003 and why list quality decides everything
Australian commercial electronic messages are governed by the Spam Act 2003, and it applies to automated sends exactly as it applies to a message you type yourself. You need consent, express or reasonably inferred. You need to identify the sender clearly and provide accurate contact details. You need a functional unsubscribe that keeps working and is actioned promptly. Automation raises the stakes because a flow sends thousands of messages while nobody is watching.
More on consent, the Spam Act 2003 and why list quality decides everything
So we build consent as data rather than an assumption. Each contact carries a record of what they agreed to, when, and through which form or import, with the source captured at the point of entry. Preference handling is granular enough that someone can stop the promotional stream without losing appointment reminders. Imported lists are quarantined and reviewed rather than merged straight into your sending audience.
There is a commercial argument as well as a legal one. Sending to people who never asked damages your sending reputation, which lowers inbox placement for the contacts who did ask. The deliverability mechanics behind that sit in email automation, and if you also send appointment reminders by text, the channel specific rules are covered in SMS automation.
When marketing automation is the wrong fit
If you receive four enquiries a month, automation is not your constraint. Four enquiries can be followed up personally by a human being who remembers the conversation, and that will outperform any sequence we could build. Spend the money on demand generation instead, whether that is search, paid search or content, and revisit automation when the volume genuinely exceeds what a person can handle attentively.
Automation makes an existing process happen faster and more consistently
It is also the wrong fit when the underlying problem is the offer or the sales process. Automation makes an existing process happen faster and more consistently. If prospects are going cold because your quotes take nine days to produce, a nurture sequence is an expensive way to keep them warm while the real bottleneck stays untouched. Fix the quote turnaround first.
Finally, be cautious if your contact data lives in three places and none of them agree. Automation reads whatever is in the database and acts on it at scale, so a wrong field becomes a wrong message sent to two thousand people. In that situation the honest first project is CRM automation and data hygiene, and the lifecycle work follows once the foundation holds.
How we scope it
Four ways to scope your Marketing Automation project
We do not publish package prices, because the same brief can be a short build or a long one. These are the shapes the work usually takes. Tell us which one sounds like you and you will get a fixed written quote that spells out exactly what it covers.
First workflows
The two or three processes costing the most time now
Fixed written quote, agreed before work starts
- Documented lifecycle map with stage definitions
- Segmentation model your team can maintain
- Built and tested nurture, onboarding and re engagement flows
Connected stack
The systems you already pay for, talking to each other
Fixed written quote, agreed before work starts
- Everything in First workflows
- Two axis lead scoring model calibrated against closed deals
- Sales handover triggers and internal notifications
- Consent capture, preference centre and suppression rules
Operations platform
Operations running on automation you can see and audit
Fixed written quote, agreed before work starts
- Everything in Connected stack
- Campaign tagging standard and attribution dashboard
- Test evidence for every flow branch
- Runbook and training recordings for your marketing team
Automation care
Watching, fixing and extending as the processes change
Rolling monthly, quoted in writing
- Every workflow monitored, with alerts that reach a person
- Fixes when an upstream system changes its behaviour
- New workflows added from your backlog each month
- Rolling, cancel with 30 days notice
These are shapes, not menus. Most quotes end up somewhere between two of them, and we will say so when the honest answer is the smallest one. Describe the problem and we will tell you which it is.
Questions buyers usually ask
Frequently asked questions
How long before automated campaigns are live?
Most programs take 4 to 8 weeks from kickoff. Lifecycle mapping and the data audit fill the first fortnight, flow build and testing the middle, and content usually sets the finish date. If your copy is already written, the shorter end is realistic. If eleven emails need writing and legal review, plan for the longer end and start the writing in week one.
What drives the cost of a marketing automation project?
Four things: how many flows you need, how clean your existing contact data is, whether we are writing the content or implementing yours, and how many systems have to exchange data with the platform. Migration from an old platform adds effort because history and consent records have to come across intact. We scope those on a call and send a fixed written quote.
Do we own the platform account and the contact data?
Yes. The platform subscription is opened in your business name with your billing details, and we work inside it as a user you can remove at any time. Contact data, consent records, templates and flow logic are yours and exportable. We do not build inside an agency owned account, because that turns your customer list into something you have to ask for.
Can automation work if our sales team lives in a spreadsheet?
It can start there, but not for long. Automation depends on knowing what happened after the handover, and a spreadsheet does not report that back. We usually stage it: build the marketing side first so enquiries are captured and nurtured, then move the sales process into a CRM in a second phase. Without that loop, scoring cannot be calibrated and attribution stays guesswork.
How does this work for a professional services firm with a long sales cycle?
Long cycles are where nurture earns its keep, because the gap between first contact and readiness can be a year or more. We build fewer, better spaced touches, weight scoring toward recency so a contact who read three pages last week outranks one who binged your blog in March, and set alerts on the behaviours that genuinely precede an enquiry. Firms in professional services usually need editorial content more than more emails.
What happens after the flows go live?
The first 90 days are where the value is found. We review flow performance against pipeline rather than open rates, look at where contacts drop out, and adjust timing and messaging based on what actually happened. Most clients keep a small monthly block for that iteration. You can also take it in-house, since every flow is documented and the training recordings cover editing them safely.
Related services
Get a fixed written quote for your automation program
Tell us how many enquiries you get, what happens to them now and what system they land in. We reply within one business day.