$300K cut from operating costs.
Marketing performance up 8%.

Acquisition ran on volume. Nobody knew which supporters would stay.

World Vision Australia’s marketing and acquisition strategy was operating blind. There was no visibility into long-term supporter value and no way to tell whether an acquisition channel was bringing in donors who would stick around or churn. The organisation was investing in volume without understanding quality, and its analytics function was purely transactional — no data science capability, no way to measure campaign effectiveness or supporter behaviour.

There was no centralised data authority either. Operations, marketing and reporting each pulled numbers from different sources, and each produced a different answer. That made it impossible to build reliable models, measure impact consistently, or trust the data behind any strategic decision.

Three constraints were non-negotiable:

• No visibility into long-term supporter value
• No centralised data authority — every team had its own numbers
• Transactional-only analytics with no data science capability

A three-person team became a 25-strong data science function.

Our Fractional Head of AI grew the team from 3 to 25, standing up four new capabilities: Campaign Analytics for robust test-and-control measurement, Marketing Automation for personalised journeys at scale, Product & Digital Analytics for conversion insight, and a Data Science unit that built more than 20 predictive models — churn, Next Best Action, survival modelling and segmentation among them.

Those models went straight into supporter engagement. Segmentation identified over-communicated supporters and improved retention by 6%. Next Best Action models generated $65K in annual cross-sell revenue. Survival modelling exposed which acquisition channels were quietly driving churn, reshaping how the organisation originates new supporters. Automated, AI-scored journeys replaced manual campaign execution outright, saving $300K in OPEX, while ML-driven targeting lifted campaign performance 8% against control.

None of it would have held without a foundation underneath it. An enterprise Data Strategy and Data Lake project gave WVA a single, unified environment for analytics, model deployment and marketing automation — replacing the patchwork of conflicting numbers with one source of truth every team could build from.

The evidence base World Vision never had.

The transformation gave World Vision Australia an analytical layer it had never had. Automated AI-scored journeys cut $300K from operating costs, ML-driven personalisation lifted campaign performance 8% against control, and Next Best Action modelling added $65K in annual cross-sell revenue. Survival modelling uncovered a mismatch between acquisition tactics and long-term supporter value, driving a shift in origination strategy that lifted customer lifetime value by $248 per supporter — with a single source of truth now underpinning every decision the organisation makes.