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      Understand what your numbers mean.

      Conflicting reports, unclear lead quality or manual data work: we connect measurement, sources and usable reporting so your team can make informed decisions and act on them.

      Discuss your data challenge

      Start with the question your team needs to answer.

      A first conversation clarifies the task. We agree deliverables, access, acceptance and cost for the review or pilot before starting.

      • Measurement review

        Which enquiries become suitable opportunities?

        Review one journey, agree definitions and document measurement gaps. Define implementation based on the findings.

        Explore the approachDiscuss measurement
      • Dashboard pilot

        Why do our reports show different figures?

        Align metrics, connect agreed sources and develop a first view that supports a specific decision.

        Explore the approachDiscuss a dashboard
      • Data workflow pilot

        Why are we still compiling this report manually?

        Connect a bounded workflow, test failures and agree a clear route for recovery and ongoing ownership.

        Explore the approachDiscuss a workflow

      Illustrative example · fictional data

      Why six conversions may be five enquiries.

      Explore three steps from an event to a useful decision. This example is not connected to a live system and is not a client result.

      6 form events

      In this fictional example, the website records six form submissions. One enquiry was sent twice. Counting every event as a new lead would overstate the result.

      Website
      6 form events
      CRM
      5 distinct enquiries
      Difference
      1 duplicate submission

      Better data work means better questions and clearer answers.

      We bring data definitions, technical connections and interface design together. Freshness, missing information and calculation rules belong in the result. Automated checks can support quality; the meaning of a metric still needs business ownership.

      AI can prepare transformations, describe anomalies or draft explanations. We review suitability, access and accuracy in context. We take responsibility for concept and quality. The value of automation is assessed through usable results and total effort, including rework.

      The right depth for your task.

      Start with the foundations you need. For modelling, prediction and customer data platforms, assess suitability and prerequisites before deciding on implementation.

      • Tracking & measurement

        Trace website events, CRM feedback and measurement limits.

      • Dashboarding & reporting

        Align metrics and build a usable view for decisions.

      • Data automation

        Connect recurring data workflows with visible failure handling.

      • Data strategy

        Define a task, suitable sources and a justified next step.

      • Data warehousing

        Make origins, definitions and data freshness traceable.

      • Customer journey analysis

        Connect usage data and feedback with specific UX questions.

      • Audience segmentation

        Examine relevant differences for content, offers and service.

      • Customer data platforms

        Assess the need, identity rules and a bounded activation use case.

      • Marketing mix modelling

        Assess a budget question, data foundation and methodological feasibility.

      • Predictive analytics

        Assess suitability and evaluation for a specific prediction task.

      • Customer insights

        Turn customer feedback and behaviour into specific content and UX tasks.

      • Market research

        Prepare a decision with suitable evidence and research.

      • Web & marketing analytics

        Investigate changes and assess possible explanations.

      • Data visualisation

        Design charts and views that make comparisons understandable.

      Connect the insight to a working application.

      If the next step needs an interface or a system handover, our UX and development work connects to the same task: a clearer customer journey, a useful tool or a dependable integration.

      Systems integrationDigital product developmentInteractive tools
      GEO: comparison of share of voice, citations and AI models.
      Preview from the GEO website with illustrative data.

      GEO / Supersmart

      How does your brand appear in AI answers?

      Compare mentions, answers and sources across selected AI models. Identify possible gaps in how your brand and products are described.

      1. Choose questions
      2. Compare answers
      3. Review content

      We help you interpret findings, improve expert content and review the technical foundations of your website.

      Explore GEO
      Work with us on GEO and content

      Here is how we can get started.

      Set up a marketing dashboard

      from €7,500 / project

      3–5 weeks

      Bring your key marketing numbers into a shared view to support better decisions.

      What you receive: A working dashboard with agreed metrics and connected data sources.

      How AI supports the work

      AI supports dashboard development and testing. Automated data connections reduce repetitive manual reporting steps.

      Discuss your dashboardExplore all Projects & Budgets

      All prices are net, excluding VAT. Starting prices apply to the described scope.

      Which question is your data not answering?

      Tell us the decision, the sources and where you get stuck. We will use the first conversation to define a useful next step.

      Discuss your data challenge

      DAVIES MEYER

      creative engineering for leading brands

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      creative engineering for leading brands

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      DAVIES MEYER

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