We build the data infrastructure, attribution models, and analytics frameworks that let marketing teams understand exactly what's driving growth — and make every dollar work harder.
We build the data models and analytics frameworks that give marketing teams a clear, quantified view of what's driving revenue — so you invest in what works and cut what doesn't.
Most businesses are making marketing decisions on incomplete or misleading data. Last-click attribution overstates paid search. Social is under-credited. Email contribution is invisible. We build multi-touch attribution models, customer journey maps, and campaign analytics frameworks that tell you the true story — so your marketing spend is backed by evidence, not instinct.
Our marketing analytics practice draws on real delivery across Wesfarmers' Catch marketplace, Total Tools ($1.5B retailer), and Nimble Loans — building the models and data infrastructure that drove measurable commercial outcomes.
We map every marketing data source — CRM, ad platforms, email, web, loyalty — and assess quality, completeness, and integration gaps.
We design the right attribution approach for your business: data-driven, time-decay, linear, or custom Bayesian — based on your channel mix and data maturity.
We build the pipelines that bring your marketing data together — CRM, paid channels, web analytics, email, loyalty — into a single clean dataset.
We build the reporting layer your marketing team can use daily — channel performance, attribution, campaign ROI, customer journey, and audience insights.
We implement A/B and champion/challenger testing frameworks so your marketing decisions are always backed by statistically valid evidence.
We build the segmentation models, LTV frameworks, and behavioural analytics that let you target the right customers with the right message — at the right moment.
Generic customer lists produce generic results. We've built customer segmentation models for some of Australia's largest consumer businesses — using RFM analysis, behavioural clustering, and machine learning to identify distinct customer groups with different needs, different values, and different optimal messaging strategies.
At Wesfarmers' Catch marketplace we led customer journey analytics that contributed to 50% YoY sales growth. At Total Tools we built the customer behavioural models that enabled the marketing team to understand segments and target them with precision across a $1.5B retailer.
We build the pricing sensitivity models, competitive intelligence frameworks, and demand forecasting systems that let you maximise margin while staying competitive.
Pricing is one of the highest-leverage decisions any business makes, and most businesses are doing it by feel. We've built price sensitivity models incorporating macroeconomic and microeconomic factors for a $2B marketplace, led Australia's first competitive price-matching engine against Amazon and eBay, and delivered pricing optimisation models that contributed to measurable revenue growth for a $1.5B retailer.
We build the analytics infrastructure and measurement frameworks that give SEO teams the data they need to make the right decisions — from keyword opportunity to content ROI to technical performance.
SEO without good data is guesswork. We build the pipelines, dashboards, and analytical frameworks that let you see clearly — what's working, what's not, and where the real opportunities are. We connect your SEO data with your business performance data, so you can quantify the revenue impact of organic search.
Connect Google Search Console, GA4, and your CRM into a unified analytics layer. Track keyword rankings, click-through rates, and organic revenue contribution in one place.
Build models that identify which content drives organic revenue — not just traffic. Prioritise content investment based on commercial impact, not vanity metrics.
Analyse crawl data, Core Web Vitals, and indexation at scale. Build monitoring pipelines that alert you to technical regressions before they impact rankings.
Build data models that surface high-value keyword opportunities based on your existing authority, competition, and commercial intent — ranked by revenue potential.
Combine organic and paid data to identify cannibalisation, coverage gaps, and budget reallocation opportunities across the full search marketing landscape.
Build the executive reporting layer that quantifies the business value of SEO investment — connecting organic visibility to revenue, LTV, and margin outcomes.
We build and audit GA4 implementations, design data layer architecture, and set up the tracking infrastructure you need to collect clean, reliable behavioural data across your digital estate.
Most GA4 implementations are under-configured or tracking incorrectly. We audit existing setups, fix data quality issues, and build the event tracking and conversion measurement frameworks that give you reliable data to make decisions from. We also build the BigQuery export pipelines that let you analyse GA4 data at scale — without sampling.
Tell us about your marketing analytics challenge and we'll advise the right approach within one business day.