Content Personalisation System

Help each buyer find
the most useful next content.

Use permitted buyer context to recommend relevant guides, case studies and offers from your approved library. AiDU connects selection, delivery and feedback while controlling repetition and frequency.

Built around your team and the tools they use. We agree the scope, ownership and approval rules before connecting the workflow.

Start this system See how it works

QUICK TO CONFIGUREMANAGED BY AiDU

THE WORK TO CONNECT

Personalisation starts with relevance.

Showing different words is not enough. The system considers what a buyer is trying to understand, what they have already seen and which approved resource could help them take the next step.

HOW THE SYSTEM WORKS

From your context to a useful outcome.

Organise the library

Tag approved assets by audience, need, buying stage and validity so recommendations have reliable source material.

Understand available context

Use permitted interaction and CRM data, recording uncertainty when the buyer’s needs or identity are unclear.

Choose and deliver

Select a relevant resource through supported web or email placements, with fallbacks and frequency rules.

Review usefulness

Assess responses, repetition and progression signals to improve recommendations and identify missing content.

ONE POSSIBLE WORKFLOW

From a buyer question to a relevant case study.

One example of the workflow we can configure around your tools, source material and review process.

A known buyer engages with content about an agreed use case.

The system checks permitted context and which resources they have already received.

It selects an approved case study relevant to the need and buying stage.

Delivery follows the channel permissions and frequency limits.

If context is insufficient, the system uses an agreed general recommendation.

Later engagement and feedback help refine selection rules.

MANAGED END TO END

Agree the inputs. Make the output useful.

Your inputs

An approved, tagged content library, permitted buyer context and channel delivery and frequency rules.

Your outcome

A relevant content recommendation with a clear reason, safe fallback and delivery record.

Ongoing operation

AiDU reviews the agreed connections, output quality and exceptions. Changes to your tools or source material feed into a controlled update process.

HUMAN CONTROL

Clear ownership at every step.

AUTOMATE

The agreed routine work

Select approved assets and deliver within agreed channel rules.

APPROVE

The decisions that need you

Approve eligibility criteria, offers, placements and material rule changes.

ESCALATE

The exceptions to resolve

Flag sensitive inferences, outdated assets and uncertain buyer context.

A STRONG FIT WHEN

Your team recognises these gaps.

Buyers repeatedly receive the same generic material.
Your library is large but hard for sales or visitors to navigate.
Personalisation rules are disconnected across web and email.

QUESTIONS

What to know before you start.

Does it create new content for every visitor?

The starting system selects from approved assets. Bespoke content generation can be scoped separately with review and validation rules.

Can it personalise for anonymous visitors?

It can use permitted page or session context where available. It does not assume an identity or sensitive characteristics that the data cannot support.

What if we do not have enough content?

The setup review identifies gaps. The system uses useful general fallbacks and can prepare briefs for missing resources.

How do we get started?

We agree the outcome, assess your existing tools and source material, and define the first workflow. The starting configuration is agreed before onboarding; additional integration or production work is scoped separately.

What does AiDU manage after launch?

AiDU maintains the agreed workflow and connections, reviews exceptions and output quality, and incorporates your feedback. Your team retains the business decisions and approvals defined during setup.

START WITH ONE SYSTEM