Personalisation at Scale services
Zero-touch personalisation engine
We build a feedback-driven engine that consolidates contact data, maintains scores and generates and sends content per segment and persona — without manual intervention per campaign. The architecture is built on HubSpot as a CDP with AI orchestration via MCP.
Contextual personalisation and DCO
Personalisation doesn't need to start with a user profile. Contextual signals (such as weather, news, time of day, or location) activate the most relevant creative asset at the right moment. We build Dynamic Creative Optimisation systems that respond to real-world conditions in real time.
Behavioural scoring and segmentation
We build real-time scoring systems that continuously track engagement, intent, recency and conversion stage — so the next message reflects what someone is doing now, not on a static segment defined months ago.
AI-driven content generation per segment
Personalised content at scale requires more variants than a team can manually produce. We connect AI content generation directly to your segmentation strategy — per persona, per market, per language, per channel.
Homepage and CTA personalisation
Visitor behaviour determines which call-to-action appears in real time. We implement behaviour-based CTA selection via platforms like Adobe Target, so every visitor sees the most relevant next step.
Let's discuss your personalisation needs
Our approach to Personalisation at Scale
Personalisation at Scale requires a connected systems approach, not a clever campaign setting. We design the complete operational loop: breaking data silos, scoring, orchestrating, generating and learning from results. Every campaign improves the next one.
Unified customer profile as the starting point
Personalisation only works when contact data converges into one connected view per person. We bring website, email, social and advertising data together in HubSpot as a CDP, including anonymous visitors who are matched once they identify themselves. That unified profile becomes the foundation for all scoring and generation that follows.
Two types of personalisation signals
We work with two complementary signal types: behavioural signals (what someone did, when, how often) and contextual signals (weather, news, location, time of day). The Vandemoortele engine uses behavioural signals; the Enexis DCO uses contextual signals. Both are powerful — the choice depends on the commercial objective.
A feedback loop that learns
A personalisation engine that doesn't learn becomes less relevant with each campaign. We build feedback loops that feed campaign performance back into the scoring logic, so what works for which persona, the system adjusts for the next send.
Why work with us?
Proven results, not projections
For Vandemoortele Professional we realised +45% CTR, -50% production time, -40% cost per campaign, 100% 1:1 personalisation with 1 FTE instead of 15+. These are results from a production system, not a pilot.
Contextual personalisation without profile dependency
Enexis shows that personalisation doesn't always require an extensive user profile. A weather signal at the right moment can be enough to activate the right campaign — and deliver +19% social engagement without cookie data or retargeting logic.
Build-and-operate model
We build the personalisation engine and don't stop there. We manage, monitor and optimise the system continuously, so efficiency compounds over time: every campaign learns, every iteration performs better than the last.
HubSpot expertise combined with AI architecture
Personalisation at Scale requires a CDP, a scoring model, an orchestration architecture and AI generation that work together. We combine HubSpot expertise with AI engineering in one team, not as a handoff between two parties.
1:1 personalisation is now achievable
1:1 personalisation has long been the ambition and the reality for almost no one outside platforms with very large budgets. AI makes signal-based personalisation achievable at a fraction of previous costs. We are building those engines now, as production-ready systems.
