TL;DR — marketing automation checklist
Start with goals and data. Confirm the platform and integrations. Implement high‑intent capture. Build 3–5 core journeys. Add scoring and sales routing. QA compliance and deliverability. Report pipeline impact and iterate.
What is marketing automation?
Marketing automation is the orchestration of messages and tasks across email, SMS, ads and your CRM to move contacts from anonymous to customer with the least friction. Done well, it improves follow‑up speed, personalisation and measurement across the funnel.
Marketing automation checklist
1) Objectives and foundations
- Define objectives: lead volume, speed‑to‑lead, revenue influenced, retention or LTV
- Agree lifecycle stages and entry/exit rules (Subscriber, Lead, MQL, SQL, Opportunity, Customer)
- Clarify ICPs, segments and offers mapped to each stage
- Document success metrics and thresholds (e.g., MQL→SQL ≥ 25%)
- Set an experimentation cadence (monthly tests per journey)
2) Data, CRM and consent
- Audit CRM fields, dedupe rules and picklists; standardise names and formats
- Create a contact status framework (new, nurturing, paused, do‑not‑contact)
- Verify consent capture meets the Spam Act 2003: consent, sender ID, easy unsubscribe
- Enable domain authentication (SPF, DKIM, DMARC) for primary sending domains
- Connect web analytics (GA4), CRM and ad platforms for attribution
3) Lead capture and enrichment
- Add high‑intent forms on key pages with clear value and minimal fields
- Implement gated assets and content upgrades mapped to ICP problems
- Use UTM standards; pass source and campaign into the CRM
- Enable progressive profiling and enrichment where appropriate
- Set instant confirmations and realistic follow‑up expectations
4) Core journeys and workflows
- Welcome/first‑touch series tailored by source/offer
- Lead nurture sequence aligned to pain points and buying stages
- Abandonment and re‑engagement (form starts, browse, cart, quote)
- Post‑purchase onboarding, usage tips and review/referral prompts
- Churn risk and win‑back triggered by behaviour
5) Personalisation and content
- Segment by lifecycle, industry, role and intent
- Use dynamic content blocks for relevance at scale
- Maintain a content library with mapped CTAs per stage
- Balance value with asks; include a single, clear CTA per touch
6) Scoring, routing and SLA
- Define demographic and behavioural points; calibrate thresholds with sales
- Route MQLs to the right owner/queue with auto‑tasks and notifications
- Set a sales follow‑up SLA (e.g., under 10 minutes for hot leads)
- Return unready leads to nurture with reason codes
7) Compliance, QA and reliability
- Test end‑to‑end: capture → consent → journey → scoring → routing → reporting
- Validate unsubscribe, preference centre and data retention policies
- Monitor deliverability (bounce, spam complaint, domain reputation)
8) Reporting and ROI
- Dashboards for list health, journey performance and pipeline impact
- Track MQL→SQL, SQL→Close, influenced revenue and sales velocity
- Attribute revenue by channel, campaign and journey
- Publish monthly insights and next tests
30 / 60 / 90‑day priorities
- Days 1–30: goals, data audit, consent, domain auth, capture upgrades, welcome + nurture v1
- Days 31–60: add abandonment and post‑purchase, establish scoring and routing, first dashboard
- Days 61–90: refine segments, expand content, launch tests, align sales SLA and feedback loops
Tools Australian teams commonly use
Tool choice should follow CRM fit, channels, volume and integration needs. Common options:
- HubSpot (Marketing/CRM), ActiveCampaign, Klaviyo (ecommerce), Mailchimp
- Salesforce Marketing Cloud Account Engagement (Pardot), Zoho Campaigns/CRM, Keap
- Middleware: Zapier, Make; CDP/ETL where needed for scale
See platform cost considerations and typical implementation effort.
Compliance in Australia
Under the Spam Act 2003, you need consent, sender identification and a functional unsubscribe. Double opt‑in is best practice but not mandatory. Include your business details in messages and honour preferences promptly. This content is general information — get legal advice for your situation.
Common mistakes to avoid
- Starting with tool features before defining lifecycle and metrics
- Dirty data and unclear ownership between marketing and sales
- Over‑automating early and neglecting message–market fit
- No scoring or routing, so qualified leads sit idle
- Weak attribution — reporting on clicks not pipeline
Quick wins most businesses can ship fast
- Welcome series that sets expectations and offers a next step
- Speed‑to‑lead alerts for high‑intent form fills
- Re‑engagement for inactive subscribers before removal
- Abandonment prompts for quote/application/cart forms
- Basic MQL scoring tied to a sales SLA
Related marketing automation pages
Overview of services and fit.
Read this page Automation StrategyPlanning and prioritisation.
Read this page Automation CostTypical AU pricing.
Read this page Automation ExamplesJourneys that work.
Read this page Automation ROIMeasurement and impact.
Read this page For Small BusinessLean, practical setups.
Read this pageUseful adjacent checklists
Data and follow‑up quality.
Read this page Email Marketing ChecklistList health and content.
Read this page Analytics and Tracking ChecklistAttribution and QA.
Read this page Reporting and DashboardsPipeline visibility.
Read this page Content Marketing ChecklistFuel your journeys.
Read this page Website Development ChecklistForms and performance.
Read this pageFAQ
How do I choose between HubSpot, ActiveCampaign and Klaviyo?
Match the platform to your CRM, ecommerce stack, channel mix and reporting needs. For ecommerce‑heavy stores, Klaviyo is strong. For mixed B2B pipelines, HubSpot or ActiveCampaign are common. Consider migration effort and total cost of ownership.
What metrics prove commercial impact?
Journey conversion rates, MQL→SQL, SQL→Close, revenue influenced, time‑to‑first‑purchase and LTV. Layer channel and campaign attribution from GA4 and your CRM.
When should I add lead scoring?
After your first journeys are live and you have clear traits/behaviours that correlate with sales readiness. Start simple and iterate with sales feedback.