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  ⁄AI for Marketing

Build the foundations for AI-powered marketing

XPON Technologies helps marketing teams build the data foundations, strategy, and infrastructure needed to use AI effectively. We start with your data maturity and business objectives, then design an AI roadmap your organisation can actually execute.

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XPON AI for marketing - data foundations and strategy
Trusted by leading brands across Australia and New Zealand
Flight CentreOFXNineSuper Retail GroupAustralian Retirement TrustUP EducationCarsales
Google Cloud Premier Partner - Marketing Analytics Cloud Specialist

AI readiness starts with your data

Most organisations want to use AI for marketing but are not ready. Their data is fragmented across platforms, measurement foundations are incomplete, and there is no clear link between AI capability and business outcomes. The technology is not the bottleneck - the strategy and data foundations are.

As a Google Cloud Premier Partner and Marketing Analytics Cloud Specialist, XPON helps marketing teams build the foundations that make AI possible. We assess your data maturity, design the architecture to unify your customer data, and create an AI strategy that ties specific use cases to measurable business outcomes.

When the foundations are right, AI becomes practical rather than aspirational. Predictive models, audience intelligence, and marketing mix analysis all become achievable because the data, infrastructure, and governance are already in place.

What we deliver

From assessing your readiness to building the data foundations and deploying your first AI use cases. Each engagement includes strategy, implementation, and knowledge transfer.

AI readiness assessment

A structured evaluation of your data maturity, technology infrastructure, and team capabilities against the AI use cases that matter for your business. You get a clear picture of what is achievable today, what foundations need building, and a prioritised roadmap to get there.

Data maturityGap analysisRoadmap

Data foundation architecture

Unify your customer data into a clean, governed foundation that AI can actually work with. We design and build the data pipelines, warehouse architecture, and identity resolution layer that connects your marketing platforms and makes every downstream AI use case possible.

BigQueryData pipelinesGoogle Cloud

AI strategy and use case design

Define which AI use cases will drive the most value for your marketing team and how to sequence them. We tie every use case to a measurable business outcome, design the data requirements and platform architecture, and build the business case your leadership team needs to invest.

Use case designBusiness casePrioritisation

Predictive modelling and machine learning

Leverage propensity, churn, and lifetime value models that score your customer base and feed predictions directly into your activation platforms. We use Wondaris, BigQuery ML, and Vertex AI to deliver models that run on your data, in your environment, with full transparency into how they work.

BigQuery MLVertex AIPropensityLTV

Marketing mix modelling

Understand which channels drive incremental revenue and how to reallocate budget for maximum impact. We deploy Google's open-source Meridian MMM framework on your data, giving you a privacy-safe view of channel effectiveness that works without cookies or user-level tracking.

MeridianBigQueryMMM

Audience intelligence with Wondaris

Build high-value audience segments using AI-driven behavioural clustering. The Wondaris AI Audience Builder analyses your first-party data to discover segments you did not know existed, then activates them across Google Ads, DV360, Meta, and The Trade Desk.

WondarisAI Audience BuilderActivation

Your AI journey

Every organisation is at a different stage of AI maturity. We meet you where you are and move at a pace your team and data can support.

1

AI readiness assessment

A structured audit of your data, technology, and team capabilities that gives you an honest picture of what is achievable now and what foundations need building first.

2-3 weeks
2

Strategy and roadmap

A prioritised AI roadmap tied to business outcomes, with quick wins first and complex capabilities building on the foundations the early wins establish.

3-4 weeks
3

Build and activate

We implement your highest-priority use cases and ensure your team owns the result with full documentation, training, and no vendor lock-in.

6-12 weeks per use case

Not sure where to start? Our Digital Experience Blueprint (DXB) provides a comprehensive maturity assessment across data, technology, and AI readiness.

UP Education Wondaris case study
Case study

UP Education builds unified data foundations and activates AI-driven audience intelligence

UP Education, a leading multi-sector education group in New Zealand, had valuable student data fragmented across brands and systems. Without a unified data foundation, they could not leverage AI for audience segmentation or campaign targeting - every brand operated in isolation.

64%
increase in lead volume
28%
reduction in cost per lead

XPON deployed Wondaris to unify UP Education's first-party data across their multi-brand portfolio, creating the data foundation needed for AI-driven audience intelligence. The Wondaris AI Audience Builder then identified high-value segments across brands that manual analysis had missed, enabling precision targeting and intelligent campaign management at scale.

Read the full case study

Start with an AI readiness session

A 45-minute session where we assess your data foundations, identify your highest-value AI use cases, and give you an honest view of what is achievable today.

Book your session
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