Our AI personalisation services
Interface-level personalisation
Personalisation that happens directly on your digital platform, with components, content, and navigation that adapt to individual visitors. The adaptation occurs in real-time as someone uses your site or app, without requiring dependency on external marketing platforms.
Channel-level personalisation
We create personalised content delivered via email, push notifications, or other channels, tailored to segments or individual profiles and triggered at high-value moments in the customer journey.
Real-time adaptation
Personalisation logic responds to current visitor behaviour, such as search terms, click patterns, location, or time of day. Based on live context rather than just historical segments, enabling immediate relevance.
Segment-based content delivery
We help you reach large contact groups with content that feels relevant to each segment, based on behaviour, preferences, or life stage. This approach scales effectively from smaller to very large recipient groups.
Personalisation governance
Rules, data structures, and consent logic ensure personalisation remains transparent and manageable for your team, customers, and regulatory compliance. Privacy-by-design principles integrated directly into the architecture.
Let's discuss your personalisation needs
Our approach to AI personalisation
AI personalisation often focuses on interface-level adaptation. This differs from channel-level personalisation, which orchestrates content across marketing channels. Understanding this distinction determines your architecture needs, data structure requirements, and management approach.
Start with the level, not the tool
Interface-level and channel-level personalisation place different demands on architecture, data, and teams. Before building, we establish which level delivers the most value for your specific situation.
From segment to individual: the 'audience of one' ideal
Personalisation's ultimate goal isn't better segments, it's moving beyond static segments entirely. An 'audience of one' means each visitor receives an experience shaped by their individual context.
Governance as foundation, not afterthought
Personalisation involves personal data, user intentions, and content rules. We build systems with privacy consent, transparent decision logic, and reporting structures from the start.
Why work with iO for AI personalisation?
Clear architectural decision-making
Interface-level and channel-level personalisation are often confused, leading to inappropriate architecture choices. We work with both layers and help you choose which level delivers the most impact for your specific context.
Production-ready personalisation implementation
Personalisation running reliably at scale requires robust engineering with monitoring, retry logic, and clear ownership. Superunie reaches 100,000+ contacts with segment-personalised content, while Vandemoortele achieved +45% CTR on personalised campaigns.
Technology-agnostic personalisation approach
We're not locked into specific platforms or approaches. Whether you work with Prepr, Sitecore, Contentstack, or custom data stacks, we choose solutions that fit your situation, team, and objectives rather than our partnerships.
Governed and justifiable personalisation
We build governance and consent logic from the first sprint, creating systems that are transparent to visitors, demonstrable to compliance teams, and adaptable when regulations change.
