Turn Customer Intent Into Measurable Growth

The demand-to-decision gap

Demand fails to convert when the systems designed to capture it are not built around customer intent.

Your customers search, compare, configure, shortlist, check availability and return across multiple touchpoints before making a decision. But too often, that intent gets lost somewhere. Maybe it’s a broken journey. Maybe it’s a UX issue. Maybe it’s in the handover to sales or to a partner.

When conversion capacity fails to keep pace with demand generation, growth becomes more expensive, harder to control and more dependent on inefficient means of customer acquisition.

Unlock the trapped value in your funnel

Valtech’s Conversion Engine identifies where customer intent derails and prioritizes the highest-impact interventions so you turn more existing demand into measurable growth.

It brings together Valtech experts and specialist AI agents to:

Understand what customers are trying to achieve.
Route them to the right next action.
Remove friction from decisive moments.
Align teams around measurable outcomes.

Case study: Turning digital intent into qualified leads

A leading automotive brand had strong digital demand, but too many high-intent users were configuring vehicles without becoming leads.

Valtech identified where leakage happened and prioritized the highest-impact interventions across national and dealer journeys.

The analysis found 600,000 configurator users who did not send a request. We modeled a 0.015 percentage-point uplift that would generate 9,000 additional leads.

Full-system leakage map

Identify the exact journey, UX, media and handover moments where high-intent customers slow down, exit or defect. 
Prioritized activation roadmap

Top initiatives ranked by commercial impact, implementation effort and speed-to-value — not just what's easiest to test. 
Intent model and archetypes

A clear view of what customers are trying to do now, where journeys misalign with that intent and which interventions matter most. 
KPI logic and experiment backlog

A measurement framework that connects traffic, intent signals, micro-conversions and business outcomes so teams can prove uplift. 
Growth governance model

Clear ownership, decision cadence and experimentation rhythm so conversion improvement continues beyond the assessment. 
A scalable AI-native system

Reusable agents, conversion lever playbooks and a learning loop that can be extended across brands, markets and AI surfaces.

What this unlocks for your business

The Conversion Engine is designed to improve the commercial outcomes that matter most across your demand, journey and sales ecosystem.

Higher conversion, bookings, leads and pipeline.
Less acquisition waste and high-intent leakage.
Faster identification of high-impact opportunities.
Better lead quality and stronger direct-channel control.
Clearer prioritization across teams, KPIs and experiments.

What we focus on

We focus on the points where customer intent is created, interpreted, routed, lost or converted.

Intent intelligence that maps demand sources, intent states and decision paths.
Journey orchestration across routing, CTA logic, findability and partner handovers.
Conversion experience across mobile, forms, checkout, pricing, comparison and trust moments.
Media optimization that connects acquisition signals to downstream business value.
LLM and AI conversion that captures demand from AI-originated discovery channels.
Growth governance that aligns teams, KPI logic, experiments and ownership.
Customer identity that recognizes intent across visits, channels and handovers.

How it works

The Conversion Engine follows a structured approach to quickly move from leakage diagnosis to measurable activation.

We start with the journeys, audiences and conversion moments that matter most to your business.
We analyze where demand is created, where intent breaks down and where customers hesitate or defect.
We connect journey data, UX friction, media signals, CRM inputs, sales handovers and KPI logic into one view.
We prioritize the interventions most likely to improve conversion, lead quality, bookings, revenue or pipeline.
We define the activation roadmap, experiment logic and ownership model needed to move from insight to execution.

Why this approach works

Most conversion programs fail because they optimize isolated touchpoints instead of the full demand-to-decision system.

We start with customer intent, not pages, tools or channels.
We connect media, UX, data, CRM, sales, partners and AI around shared commercial outcomes.
We prioritize what to fix first based on impact, effort and speed-to-value.
We turn diagnosis into activation by connecting every recommendation to a KPI, owner, experiment or delivery path.
We make AI part of the conversion system, not a disconnected pilot or interface.

Talk to our experts 

In partnership with

Partner: google Partner: microsoft Databricks Salesforce Partner: Adobe Shopify commercetools Optimizely Contentstack

Subject matter experts

Megan Carrigan

SVP, Strategy & Innovation

Default person placeholder image: minimalist white circular icon resembling a person

Bernd Mündel

Senior Strategist

Sune Porsborg Børsen

Director, Head of Data & MarTech Strategy

Paul Carysforth 

Director, Experience Analytics

The Conversion Engine closes your customers’ demand-decision gap

You don’t need more demand. You need to unlock your growth system.  The Conversion Engine detects where intent is leaking, interprets why customers hesitate and prioritizes the interventions with the highest commercial impact.  

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FAQ

What is the Conversion Engine?

The Conversion Engine is a multi-agentic assessment and activation system that identifies where customer intent is lost across your demand-to-decision journey. It shows where high-intent customers slow down, exit, defect or lose confidence, then builds a prioritized roadmap to turn that leakage into measurable growth.
How is this different from a CRO project?

CRO often starts at the page, test or conversion-rate level. The Conversion Engine diagnoses the full system around conversion: media, UX, data, CRM, sales handovers, partner journeys, AI surfaces and KPI logic. It helps teams understand what customers are trying to do, where the journey misaligns with that intent and which intervention will create the highest commercial impact.
What kinds of conversion leakage does it identify?

It identifies the moments where demand exists but fails to become action. Common patterns include high-value traffic exiting anonymously, configurations not becoming offer requests, forms being started but not submitted, comparisons moving to competitor platforms, dealer or partner handovers resetting context and AI assistants capturing intent that brands miss.
What is the cost of not fixing conversion leakage?

When conversion capacity fails to keep pace with demand generation, growth becomes more expensive and harder to control. Businesses often spend more on acquisition without proportional growth, see lower conversion despite healthy traffic, generate poorer-quality leads, lose direct revenue and customer ownership, and struggle with slower experimentation and unclear prioritization.
Do we need an existing analytics setup?

No. We work with your current environment. The assessment confirms what data is available, what is reliable and where gaps exist. Where data is incomplete, we use a data confidence review to identify usable signals, define proxy logic and make sure recommendations are grounded in evidence rather than assumption.
What sectors does this apply to?

The Conversion Engine applies to any sector where high-intent demand exists but leaks before action. That includes automotive, travel, B2B, retail, financial services and other industries with complex journeys, handovers, quote flows, booking paths, partner ecosystems or sales processes. The conversion lever model is adapted to each client’s journey and commercial model.
How quickly can we see value?

The Kickstart and Rapid Assessment typically run over 4–6 weeks and deliver a prioritized roadmap. Activation sprints can then begin shipping measurable pilots within 8–12 weeks of the assessment, depending on data access, platform complexity, decision speed and client readiness.
What role does AI play?

Specialist AI agents accelerate input organization, pattern detection, first-pass hypotheses, synthesis and quality checks. Valtech experts own the commercial judgment, client context, data confidence, feasibility assessment and final recommendations. The result is not a black-box AI audit. It is an expert-led growth system supported by reusable AI workflows.
Does the Conversion Engine only improve website conversion?

No. Website conversion is only one part of the system. The Conversion Engine also looks at media efficiency, mobile journeys, forms, checkout, pricing, comparison, sales handovers, dealer or partner journeys, CRM feedback, customer identity, LLM-originated traffic and the governance needed to keep improving conversion over time.
What do we get at the end of the assessment?

You get a clear leakage map, an intent model, prioritized activation roadmap, KPI logic, experiment backlog and ownership model. The goal is to give your teams a practical path from diagnosis to activation, with every recommendation tied to impact, effort, confidence level and speed-to-value.

Turn customer intent into measurable growth

The demand-to-decision gap

Unlock the trapped value in your funnel

Case study: Turning digital intent into qualified leads

From customer leakage to a prioritized growth roadmap

Full-system leakage map

Prioritized activation roadmap

Intent model and archetypes

KPI logic and experiment backlog

Growth governance model