Reporting and Dashboards Costs in Australia

Marketing dashboard cost at a glance (AUD)

These are typical Australian ranges. Licensing and connectors are additional if needed.

• Starter: $1,000–$3,000 setup + $200–$500/month support (single-source GA4/ads, essential KPIs, one dashboard)
• Growth: $3,000–$8,000 setup + $500–$1,500/month (multi-channel, goals, basic modelling, 2–4 dashboards)
• Advanced: $8,000–$25,000+ setup + $1,500–$6,000/month (warehouse, multiple integrations, governance, automation)

Tooling indications: Looker Studio (often free or low cost), Power BI/Tableau (per-user licences), connectors like Supermetrics/Fivetran/Stitch, and optional BigQuery storage/compute for scale.

What shapes marketing dashboard cost

• Data sources and integrations: GA4, Google Ads, Meta Ads, LinkedIn, Shopify, WooCommerce, HubSpot, Salesforce, Xero, call tracking and more
• Data quality and modelling: UTM hygiene, event/goal setup, deduping, identity resolution, revenue attribution
• Refresh frequency: real-time or daily, scheduled extracts vs streaming
• Visual and UX complexity: number of dashboards, filters, drilldowns, role-based views
• Governance and documentation: definitions, change control, data dictionary, access management
• Team enablement: training, handover, internal capability vs managed reporting
• Infrastructure: need for a warehouse (e.g., BigQuery) vs direct connectors, and associated running costs

Common pricing scenarios and inclusions

1) Starter dashboard (most small lead-gen sites)

• Inclusions: GA4 audit, core conversions/goals, branded Looker Studio dashboard, Google Ads/Meta Ads integration, monthly QA
• Cost: $1,000–$3,000 setup + $200–$500/month
• Timeline: 2–3 weeks
• Best for: Services businesses needing clear traffic, leads and cost-per-lead visibility fast

2) Growth dashboard suite (multi-channel view)

• Inclusions: Multi-channel connectors (e.g., GA4, Google Ads, Meta, LinkedIn), assisted attribution views, funnel reporting, 2–4 dashboards for execs and channel owners, training
• Cost: $3,000–$8,000 setup + $500–$1,500/month
• Timeline: 4–8 weeks
• Best for: Teams investing in several channels who need weekly decision-grade reporting

3) Advanced analytics and governance

• Inclusions: Data warehouse (e.g., BigQuery), multiple business systems (CRM, ecommerce, finance), modelling (LTV, cohort, MTA rules), documentation, role-based access, automated alerts
• Cost: $8,000–$25,000+ setup + $1,500–$6,000/month
• Timeline: 8–16+ weeks
• Best for: Scale-ups and enterprises with complex sales cycles or multiple brands

Tooling options and indicative licence costs

Vendors change pricing regularly. These are ballpark Australian figures to help budgeting.

• Looker Studio: Free core; Pro plans available for team features. Many marketing teams start here to control costs.
• Power BI: Typically ~$15–$30 per user/month for Pro or Premium Per User in Australia. Strong fit for Microsoft-first organisations.
• Tableau: Creator/Explorer/Viewer tiers; commonly ~$25–$150 per user/month depending on role.
• Connectors: Supermetrics or similar often ~$70–$500+/month depending on sources and volumes. Fivetran/Stitch usage-based for heavier data needs.
• Data warehouse: BigQuery often <$50–$250/month for small-medium marketing datasets; scales with storage and query volume.

Most small businesses can avoid warehousing early by using GA4 + Looker Studio and a small number of connectors. As channels and stakeholders grow, moving to a warehouse can reduce fragility and improve performance.

Example configurations and costs

Lead generation (services business)

• Stack: GA4 + Google Ads + Meta Ads + Looker Studio
• Deliverables: Single KPI dashboard (traffic, CPL, conversion rate, channel mix), weekly email summary
• Costs: $1,500–$3,500 setup + $300–$700/month; optional connector ~$70–$150/month

Ecommerce (Shopify or WooCommerce)

• Stack: GA4 + Ecommerce platform + Ads (Google/Meta) + Looker Studio or Power BI
• Deliverables: Revenue and margin by channel/campaign, ROAS, cohorts, remarketing performance
• Costs: $4,000–$10,000 setup + $700–$2,000/month; connectors ~$100–$300/month; optional BigQuery if scaling

B2B with CRM (HubSpot/Salesforce)

• Stack: GA4 + Ads + CRM + optional data warehouse
• Deliverables: Leads → MQL → SQL → Closed Won pipeline reporting, channel influence, velocity
• Costs: $7,000–$18,000 setup + $1,200–$3,500/month; connectors and warehouse likely required

Ongoing reporting costs and what’s included

• Monitoring and fixes for API/connector changes
• New metrics, dimensions and dashboard variants
• Governance: data dictionary, definitions, version control
• Training and user support, monthly reviews and improvements
• Optional: automated alerts, anomaly detection and QA checks

Rule of thumb: plan 10–25% of setup cost per month for steady iteration, or budget a small monthly retainer with quarterly enhancement sprints.

How long does it take?

• Discovery and audit: 3–7 days
• Setup and build: 1–6 weeks depending on scope
• QA, refinements and training: 3–10 days

Total duration depends on data readiness, access approvals and stakeholder availability. Parallel work on tracking and data cleaning can accelerate timelines.

How to budget for a marketing dashboard

• One-off setup: scope by the number of sources, dashboards and modelling needs
• Ongoing: support and enhancements; allow for connector and licence fees
• Heuristic: for performance marketing, 3–8% of ad spend invested into analytics/reporting often pays for itself via efficiency gains
• Value lens: hours saved per month, faster decision cycles, reduced wasted spend and clearer accountability

Questions to ask before you commit

• Which decisions will this dashboard help us make faster each week?
• What are the exact data definitions for key metrics?
• How are conversions and revenue attributed across channels?
• What breaks if an API changes, and who fixes it?
• What’s the handover and training plan for our team?
• How do we add a new channel or business unit later without a rebuild?

Related Reporting and Analytics pages

More analytics resources