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AI in Marketing: Consulting, implementation, enablement

Built for Marketing. Grounded in Data. Powered by AI.

We help marketing teams identify valuable AI use cases, prepare the required data foundation, implement reliable solutions and build the internal capabilities to use them effectively.

Our approach combines marketing expertise, strong data capabilities and practical AI know-how.

AI adoption is no longer the main challenge. Turning it into measurable value is.
78%

of organizations already use AI in at least one business function, with marketing and sales among the most common.

6%

but only a small share so far achieve measurable, bottom-line results from it.

21%

have fundamentally redesigned workflows around AI, the factor with the biggest effect on impact.

72%

say AI has changed the skills their teams need, but only 36% feel adequately upskilled for it.

  • Lavera Naturkosmetik
  • Allianz
  • Fresenius
  • Douglas
  • Aachener Grundvermögen
  • Fielmann
  • logo redbull f71a0f27
  • Telefonica
  • logo gore e944c063
  • Roche
  • logo mnet d8f5b011
  • What we do

    How we help marketing teams
    unlock the value of AI

    Explore the areas where we help marketing teams apply AI effectively. From marketing intelligence and reporting to predictive analytics, AI enabled workflows and team enablement, we combine technology, data and practical expertise to turn AI into a meaningful part of everyday marketing.
    AI KPI Measurement
    Chat with your Data

    Conversational Marketing Analytics

    Make marketing data accessible through natural-language questions, without sacrificing reliability, transparency or control.

    Conversational analytics creates value only when the underlying data is ready for AI. We combine strong data foundations with marketing expertise to define the right metrics, business logic and context the AI needs to interpret your data correctly.

    We then test responses against known results, enabling trusted insights, less recurring analysis and automated reports and newsletters.

    Ask in plain language Get trusted answers Understand your KPIs Reduce manual analysis Automate recurring reports
    Spot market shifts earlier

    Automated Market and Competitor Intelligence

    AI creates new opportunities to collect, connect and systematically analyse external market information from a wide range of sources.

    We help marketing teams systematically monitor competitor and partner activities, advertising, market developments, digital presence and availability, as well as relevant brand signals. Automated data collection and AI-supported analysis turn fragmented external information into structured insights that support better decisions across marketing, brand management and sales.

    Creative Intelligence Share of Voice Digital Share of Shelf Price and Availability Monitoring Market and Content Intelligence
    Semantic Layer
    AI Use Cases
    See how your brand appears in AI

    Measurement of AI Search and Answer Engine Visibility

    Understand how visible your brand is in AI-generated answers with a transparent measurement approach tailored to your market, audience and competitors.

    As AI-generated answers become part of the search journey, traditional rankings alone no longer show the full picture. We develop a customized measurement framework that defines which prompts and answer engines are tested, how results are evaluated and how visibility changes over time. This gives marketing teams a more reliable basis for assessing their presence across ChatGPT, Perplexity, Claude, Google’s AI features and other answer engines.

    Customized Prompt Sets Transparent Methodology Answer Engine Monitoring Competitor Comparison Visibility Tracking
    Modernize reporting with AI

    AI Assisted Dashboard Development and Reporting

    Accelerate dashboard development and modernization while keeping data quality, business logic and security under control.

    We use purpose built AI workflows and reusable skills to support selected parts of dashboard development, from translating calculations and recreating report structures to generating documentation and identifying recurring implementation patterns. This can reduce effort in new reporting solutions and migrations, including Tableau to Power BI projects, while experienced developers remain responsible for architecture, validation and quality. We can also extend dashboards with AI supported summaries, anomaly detection and contextual explanations.

    Faster Dashboard Development Tableau to Power BI Migration Calculation Translation Automated Documentation AI Supported Insights
    Prozessautomatisierung mit AI
    Data Science
    Invest smarter. Act earlier.

    Marketing Budget Optimization and Customer Churn Prediction

    Use advanced analytical models to understand what drives marketing outcomes and where action can have the greatest impact.

    Our core areas here include Marketing Mix Modeling (MMM), which quantifies the contribution of marketing activities and supports scenario-based budget decisions, and predictive customer retention, which identifies customers at risk of churn early enough for targeted action. We combine statistical modeling, marketing expertise and clear decision tools to turn model results into practical measures.

    Marketing Mix Modeling Marketing Contribution Scenario Simulation Budget OptimizationChurn PredictionCustomer Risk Scoring
    Turn AI into a team strength

    AI Enablement for Marketing Teams

    Professionalize the adoption and use of AI by focusing on the roles, workflows and use cases that create the greatest value.

    Many AI initiatives stall because teams are not yet sufficiently prepared to integrate new solutions into their daily work. We assess your specific needs and define the right path, from use case workshops and role specific AI readiness training to guided application and mentoring. By focusing on real marketing tasks, teams can adopt AI faster, create value sooner and build capabilities that last.

    Needs Assessment Use Case Workshops Role Specific Training Guided Application Mentoring
    AI Readiness
    Hopmann Pfeil weiß

    Audit: AI Readiness & Potential

    How far have we really come when it comes to AI? Where is our greatest potential that we are not yet using? As part of a customized audit, we review your data, your tool landscape and your existing processes in marketing and sales. We show you which AI approaches will quickly deliver real added value for you – and which prerequisites need to be created for this.

    Dr. Özgün Köksal - Hopmann

    Dr. Özgün Köksal
    Senior Data Analyst &
    AI Expert

    +49 89 219 099 021

    Book your free 30-minute initial consultation now.

    Die Hopmann AI Foundation

    Our five-layer approach to reliable marketing AI

    Reliable AI in marketing depends on more than tools. It requires the right measurement logic, data, definitions and business context. Depending on your maturity and priorities, we can strengthen an individual layer or connect several layers into an integrated solution. Reliable conversational and agentic AI ultimately depends on the foundations beneath it.
    Where to start

    Where are you today with AI in marketing?

    You do not need to start from scratch. Depending on your current setup, maturity and priorities, there are different ways to professionalize the use of AI in marketing. Choose the approach that best fits your current situation.

    “We want to understand where AI could create value for us.”

    The discovery route. Together we map where AI is worth pursuing in your marketing and turn it into a clear, prioritized shortlist.

    “We have a business challenge we want to solve.”

    You know the problem and want the right AI solution for it, for example market intelligence, AI search visibility, conversational analytics, budget optimization, churn prediction or reporting.

    “We have a use case and want to make it work professionally.”

    Reliable AI depends on the right measurement, data, semantic and context layers. We build the foundation and implement the solution so it holds up in production.

    “We want our team to actually use AI in their daily work.”

    Here the challenge is not choosing a technical use case, it is adoption and skills. We help your team apply AI confidently in their daily marketing work.

    Your Route
    Identify and assess AI use cases
    Your Route
    Explore the right AI solution for your task and start with it
    Your Route
    Data foundation & implementation: AI-ready Data Stack
    Your Route
    Prioritize and start with AI Enablement

    We support you across the full journey with AI in marketing, from mentoring and use case to implementation and training. If you would like to get to know us, our events and webinars are a great place to start.

    Why Hopmann is the right partner

    Where marketing understanding, data and AI come together.

    Reliable marketing AI requires more than technical implementation. It requires an understanding of marketing decisions, measurement logic, data and organizational context. We combine marketing domain expertise, deep data specialization and practical AI know-how to design solutions around your real needs and build them on a foundation you can trust.

    Deep Marketing understanding

    We understand what marketing metrics actually mean, from ROAS and brand lift to attribution. This context helps turn AI responses into reliable insights that support concrete decisions.

    The difference: AI built around your marketing logic, data and decisions.

    Integrated Collaboration

    We bring data, marketing and AI together from day one. This ensures that strategy, implementation and adoption are considered jointly and solutions stay close to real business needs.

    The difference: One aligned team with shared responsibility instead of isolated functions.

    20 years of boutique consulting

    For 20 years, we have supported corporations and mid-sized businesses with personal guidance and strong implementation expertise. Our information security processes are TISAX-assessed*.

    The difference: Experience, established methods and close collaboration on equal footing.

    Shared Foundation for AI

    A reliable data foundation and a robust Semantic/Context Layer are standard with us. Reporting, analytics and AI therefore rely on the same governed definitions and data.

    The difference: One shared data foundation instead of competing sources of truth.

    How reliable is your marketing AI today? Book a free 30-minute initial consultation.

    Dr. Özgün Köksal

    Dr. Özgün Köksal
    Senior Data Analyst &
    AI Expert


    What companies want to know about AI in marketing

    FAQ on AI in Marketing

    What does Hopmann offer for AI in marketing?

    We support marketing teams from the initial idea through to day-to-day use in their work. This includes identifying profitable use cases, building a clean data foundation, and technically implementing reliable AI solutions. In addition, we empower your teams through customized training and mentoring to independently and confidently integrate AI tools into their existing processes.

    Which AI use cases do you support for marketing?

    Common areas include automated market and competitor intelligence, AI search and answer-engine visibility, conversational marketing analytics, AI-assisted dashboard development and reporting, marketing budget optimization and customer churn prediction, and AI enablement for marketing teams. This overview page links to a dedicated page for each area.

    Why do many AI initiatives fail to deliver measurable value?

    AI adoption is already widespread, but far fewer companies achieve measurable business impact. The organizations that succeed redesign workflows around AI and build the required data foundation and team skills, instead of adding tools on top of inconsistent data and definitions.

    Do we have to implement all five layers of the AI Foundation?

    Not necessarily all at once. The framework is modular. Many companies start with the level that currently poses the greatest constraint and then gradually expand the Foundation. Each level creates added value on its own. However, the greatest impact is achieved when the individual levels work together as a cohesive system.

    What makes Hopmann different from a generic AI consultancy?

    We work where marketing understanding, data and AI come together. Reliable marketing AI requires an understanding of marketing decisions, measurement logic, data and organizational context, not just technical implementation. We also bring 20 years of marketing analytics experience and TISAX-assessed processes.

    What is the Hopmann AI Foundation for Marketing Intelligence ?

    It is our five-layer approach to reliable marketing AI: marketing measurement strategy, data quality and governance, a semantic layer, a context layer, and agentic marketing intelligence. Reliable conversational and agentic AI ultimately depends on the measurement, data, semantic and context layers beneath it.