Demand Generation Roadmap in 90 Days: Our B2B Case Study with Measurable Results

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The days when B2B companies could rely exclusively on trade shows, cold calling, and referral marketing are definitively over. Digital transformation has fundamentally changed how purchasing decisions are made. According to a recent Forrester Research study (2024), B2B buyers now spend 68% of the buying process researching online before contacting a sales representative.

At the same time, the HubSpot State of Marketing Report 2025 finds that 61% of B2B marketers struggle to generate qualified leads. The pressure on marketing and sales departments is steadily increasing – more leads, higher quality, shorter sales cycles, and measurable ROI are demanded.

This is precisely where a structured demand generation roadmap comes in. As marketing and sales leaders at the Brixon Group, we have helped numerous mid-sized B2B companies systematize their lead generation over the past few years. In this experience report, we share our proven 90-day plan that delivers measurable results – with all the challenges, insights, and concrete outcomes.

This article is relevant for you if you:

  • Work as a marketing leader in a B2B company
  • Want to generate more qualified leads for your sales team
  • Are looking for a structured approach that delivers results within 90 days
  • Would benefit from an experience report based on real data and results

Let’s dive together into the world of systematic demand generation – with a field-tested plan that works.

The Challenge: B2B Lead Generation in the Digital Age 2025

The Current Market Situation: Data and Trends

The B2B market has changed dramatically in recent years. While personal relationships and trade shows were once the main channels for lead generation, digital touchpoints now dominate the customer journey. The LinkedIn B2B Institute (2024) reports that only 5% of B2B buyers are actively in the market, while 95% are latent buyers who first need to be sensitized to your solution.

This development was accelerated by the global pandemic and has solidified by 2025. McKinsey (2025) notes that B2B companies integrating digital and traditional channels achieve 24% higher revenue growth than companies clinging to outdated methods.

Additionally, the B2B buying process has become more complex. According to Gartner (2025), an average of 6-10 stakeholders are involved in B2B purchasing decisions – an increase of 43% over the last five years. Each of these decision-makers has different information needs that must be met at various times.

Typical Pain Points of Mid-sized B2B Companies

In our daily work with mid-sized B2B companies, we consistently encounter the same challenges:

  • Fragmented Marketing Activities: Many companies conduct marketing using the shotgun approach – a bit of social media here, some ads there, an occasional blog post. A coherent strategy is missing.
  • Lead Quality vs. Quantity: Sales complains about poor lead quality while marketing points to increasing lead volume. The definition of a qualified lead is unclear.
  • Lack of Attribution: Marketing’s contribution to revenue cannot be clearly demonstrated. Which channels and measures actually lead to closed deals often remains in the dark.
  • Technology Sprawl: Isolated tools and systems prevent a holistic view of the customer journey. Data is fragmented and unusable.
  • Sales-Marketing Misalignment: Collaboration between sales and marketing is characterized by misunderstandings and differing objectives.

These challenges are particularly problematic for mid-sized companies, as they often don’t have the resources and specialized expertise to address them. The result: misallocation of limited budgets, frustration in both departments, and ultimately growth losses.

Why a Systematic Demand Generation Strategy is Essential

The answer to these challenges lies in a systematic demand generation strategy. Gartner (2025) reports that companies with an integrated demand generation strategy generate on average 32% more qualified leads than companies without a structured approach.

An effective demand generation roadmap enables:

  • Consistent and targeted engagement with potential customers across all relevant channels
  • Clear definition and qualification of leads for greater sales efficiency
  • Precise attribution of marketing activities to revenue generation
  • Integration of technologies into a coherent stack
  • Alignment of marketing and sales around common goals and processes

The critical point: A demand generation roadmap makes marketing measurable and enables data-driven decisions. It creates the foundation for scalable growth and a sustainable competitive advantage.

According to the “State of B2B Marketing Report” by Salesforce (2024), 76% of successful B2B companies combine content marketing, data analysis, and marketing automation in their demand generation strategy. This integration is the key to success – and that’s exactly what our 90-day plan aims for.

Foundations of a Successful Demand Generation Roadmap

Definition and Strategic Classification

Before diving into the details of our 90-day plan, it’s worth clearly defining demand generation and placing it strategically. Demand generation encompasses all marketing activities aimed at creating interest and demand for your products or services and guiding potential customers through the buying process – from first contact to closure and beyond.

It’s important to distinguish this from pure lead management: While lead management focuses on managing and qualifying already acquired contacts, demand generation begins a step earlier – namely with raising awareness and creating demand among potential customers who may not yet be actively looking for a solution.

In the Brixon Group’s Revenue Growth Strategy, demand generation is a central building block that plays a key role within our Attract-Engage-Delight framework. We understand demand generation as a continuous process covering all phases of the buying cycle:

  • Awareness: Drawing potential customers’ attention to problems and showcasing solution possibilities
  • Consideration: Supporting evaluation with relevant information
  • Decision: Facilitating the purchase decision process with compelling arguments and evidence
  • Retention & Advocacy: Continuing to provide relevant content and support even after purchase

The Four Pillars: Content, Technology, Processes, and Data Analysis

A successful demand generation roadmap rests on four supporting pillars that interlock and reinforce each other:

1. Content

Content is the foundation of any demand generation strategy. The DemandGen Report 2025 shows that 75% of B2B buyers make their decisions based on thought leadership content. What’s crucial, however, is delivering the right content to the right people at the right time.

An effective content strategy for demand generation:

  • Addresses specific pain points and needs of your buyer personas
  • Covers various formats (blogs, whitepapers, webinars, videos, case studies)
  • Is aligned with the different phases of the customer journey
  • Provides real value and positions your company as a thought leader

2. Technology

The right technology forms the nervous system of your demand generation strategy. According to a study by Marketo (2024), integrating AI into demand generation processes increases lead qualification rates by an average of 30%. The most important technology components include:

  • CRM system as the central customer database
  • Marketing automation platform for lead nurturing and campaign management
  • Content management system for managing and delivering content
  • Analytics tools for measuring performance and attribution
  • Sales enablement technology to support the sales team

3. Processes

Clearly defined processes ensure consistency and efficiency in your demand generation activities. Harvard Business Review (2024) reports that close alignment between marketing and sales leads to 38% higher close rates. Critical processes include:

  • Lead scoring and qualification (When is a lead “sales-ready”?)
  • Lead handover from marketing to sales
  • Lead nurturing for contacts not yet ready to buy
  • Campaign planning and execution
  • Content creation and distribution
  • Reporting and performance analysis

4. Data Analysis

Data is the fuel for continuous optimization. Without sound analysis, your demand generation activities remain a stab in the dark. Critical aspects include:

  • Clear KPIs for each phase of the funnel
  • Multi-touch attribution for mapping conversions
  • Customer segmentation based on behavioral data
  • A/B testing for continuous optimization
  • Predictive analytics for forward-looking decisions

Measurable Success Factors and Value Contribution

A successful demand generation roadmap must deliver measurable results. The key KPIs we track in our projects include:

  • Volume Metrics: Number of generated leads, website traffic, event participants
  • Quality Metrics: Conversion rates, MQL-to-SQL rate, win rate
  • Velocity Metrics: Lead velocity rate, average time in funnel
  • Financial Metrics: Cost per lead (CPL), cost per acquisition (CPA), marketing ROI

The actual value contribution of a demand generation roadmap goes beyond these metrics. It creates:

  • Greater predictability of pipeline growth
  • Better resource allocation through clear proof of success
  • Stronger market positioning through consistent communication
  • Reduced dependency on individual sales talents
  • Shorter sales cycles through better qualified leads

With these foundations in mind, let’s now dive into the practical implementation of our 90-day roadmap.

Phase 1: Analysis and Strategy (Day 1-30)

Our Starting Point and Inventory

Our 90-day roadmap always begins with a thorough analysis of the current situation. As part of our Revenue Growth Strategy, we conduct a 360-degree inventory that includes the following elements:

At the beginning of the project, we conducted comprehensive interviews with all relevant stakeholders. Particularly revealing: Conversations with the sales team revealed that only about 15% of leads generated by marketing led to sales conversations. The main cause: lack of qualification and insufficient data about prospects.

Analysis of existing data revealed additional weaknesses:

  • The website had solid traffic (approx. 5,000 visitors monthly) but a conversion rate of only 1.2%
  • The CRM system contained over 3,000 contacts that hadn’t been approached in more than 6 months
  • The average lead-to-customer conversion was only 3% (industry average: 7%)
  • The cost per qualified lead was €380 – significantly above the target value of €250

In parallel, we conducted a content audit. The result: While numerous pieces of content existed, they were primarily product-oriented and did not address the actual pain points of the target audience. Additionally, content was missing for the early phase of the customer journey (Awareness and Consideration).

The technology assessment revealed a collection of tools without proper integration: an outdated CRM system, a rudimentary email marketing solution, and isolated analytics tools that didn’t provide a holistic view of the customer journey.

Goal Definition and Roadmap Development

Based on the analysis, we defined measurable goals for the next 90 days together with the client:

  • Increase website conversion rate to 3% (250% improvement)
  • Increase marketing-qualified leads (MQLs) by 50%
  • Improve MQL-to-SQL conversion rate to 25% (67% increase)
  • Reduce cost-per-lead by 30% to €265
  • Build an integrated marketing technology stack

Important: These goals were aligned with all stakeholders and defined as shared KPIs for marketing and sales – a first important step toward sales-marketing alignment.

The development of the roadmap followed our proven Revenue Growth Blueprint. For each goal, we defined concrete measures, responsibilities, and milestones. The plan was divided into three 30-day sprints, with regular review points to monitor progress.

Buyer Persona and Customer Journey Mapping

A key element of the first phase was developing detailed buyer personas. Unlike many superficial persona projects that stop at demographic data, we went deeper:

We conducted structured interviews with existing customers, analyzed support requests and sales conversations, and examined website behavior. The result was three clearly defined buyer personas that included not only demographic characteristics but also psychographic factors, motivations, goals, pain points, and preferred information sources.

For each persona, we created a detailed customer journey map that visualized all touchpoints from first contact to purchase completion. Particularly important: the identification of “Moments of Truth” – critical points where purchasing decisions can be influenced.

These journey maps formed the basis for:

  • The content strategy: What content does each persona need in each phase?
  • The channel strategy: Where can we reach each persona most effectively?
  • The lead scoring model: Which interactions signal purchase readiness?
  • Marketing automation: Which triggers should activate which actions?

Gap Analysis and Action Planning

The final step of the first phase consisted of a detailed gap analysis that identified discrepancies between the current state and the defined goals. These gaps were categorized into four areas:

  1. Content Gaps: Missing content for certain personas or journey phases
  2. Technology Gaps: Missing or inadequately integrated tools
  3. Process Gaps: Missing or inefficient procedures
  4. Competency Gaps: Missing expertise in the team

For each identified gap, we developed concrete measures with clear responsibilities and timeframes. These were transferred into a detailed action plan that formed the basis for the next phase.

Special focus was placed on quick wins – measures that could deliver rapid results with relatively little effort. These included:

  • Optimization of existing landing pages based on best practices
  • Reactivation of inactive contacts through targeted nurturing campaigns
  • Setting up trigger emails for specific website activities
  • Improving the lead capture process through form optimization

By the end of the first 30 days, we had a clear roadmap with defined goals, detailed buyer personas, comprehensive customer journey maps, and a concrete action plan. The foundation for the implementation phase was laid.

Phase 2: Implementation and Build-Up (Day 31-60)

Content Strategy and Asset Development

With the insights from Phase 1, we developed a comprehensive content strategy. The key to success was aligning all content with the specific needs of the personas at each stage of their customer journey.

We created a content map that categorized each required piece of content according to the following criteria:

  • Target Persona: Who is the content intended for?
  • Journey Phase: In which phase of the buying process will it be consumed?
  • Format: Which format is most suitable (blog, whitepaper, video, etc.)?
  • Core Message: What problem does the content solve for the reader?
  • Call-to-Action: What action should the content encourage?
  • Metrics: How do we measure the success of the content?

Based on this map, we created a foundation of strategic content assets over the next 30 days:

  • Awareness Phase: Three in-depth blog posts on relevant industry trends, a thought leadership whitepaper, and an infographic visualizing a complex issue
  • Consideration Phase: A comprehensive buying guide, two case studies with measurable results, and a webinar on best practices
  • Decision Phase: An ROI calculator, a checklist for vendor selection, and a comparative whitepaper

According to HubSpot (2025), personalized content experiences can increase conversion rates by up to 42%. Accordingly, we ensured that all content could be adapted and personalized for different channels.

Particularly effective: The development of a content cluster around our client’s core topic. This cluster strategy not only led to better SEO performance but also supported positioning as a thought leader in the niche.

Building the Marketing Automation

Parallel to content creation, we implemented a comprehensive marketing automation solution. After a thorough evaluation of available platforms, we chose a solution that met the following criteria:

  • Seamless integration with the existing CRM system
  • Comprehensive tracking and reporting functions
  • Flexible segmentation capabilities
  • Ease of use for the client’s team
  • Scalability with growing data volume and complexity

The implementation included the following steps:

  1. Technical setup and integration with the CRM and website
  2. Migration and cleansing of existing contact data
  3. Setting up tracking parameters for all relevant touchpoints
  4. Development of workflows for automated nurturing sequences
  5. Training the team in using the platform

A special focus was on developing lead nurturing workflows. These automated sequences ensure that every lead – regardless of their current purchase readiness – receives relevant content that gradually guides them through the funnel.

We developed specific workflows for:

  • New website visitors who downloaded a whitepaper
  • Webinar participants (with different sequences for attendees and no-shows)
  • Inactive contacts for reactivation
  • Highly engaged contacts who had not yet had sales contact
  • “Lost opportunities” for re-engagement after a certain period

Lead Scoring and Qualification System

A central element of our demand generation roadmap was implementing a differentiated lead scoring system. Unlike many one-dimensional scoring models that focus on few interactions, we developed a multidimensional system that considers demographic, firmographic, and behavioral data.

Our lead scoring model was based on three pillars:

  1. Fit Score: How well does the lead match the ideal customer profile? (Based on company size, industry, position, etc.)
  2. Engagement Score: How intensively does the lead interact with our content? (Website visits, email opens, content downloads, etc.)
  3. Purchase Readiness Score: What signals of concrete purchase intent does the lead show? (Visit to pricing page, request for a demo, use of the ROI calculator, etc.)

For each dimension, we defined clear thresholds above which a lead qualifies. Only when a lead exceeds the thresholds in all three dimensions is it handed over to sales as a Marketing Qualified Lead (MQL).

This differentiated system led to a significant quality increase in the transferred leads. The MQL-to-SQL conversion rate rose from 15% to over 20% within a few weeks.

A special feature of our approach: We implemented a dynamic scoring model that continuously self-optimizes. By analyzing successful closures, the weightings of various activities are regularly adjusted – making the system increasingly precise over time.

Sales-Marketing Alignment: Processes and Handover Points

Harvard Business Review (2024) reports that close alignment between marketing and sales leads to 38% higher closure rates. Accordingly, we placed special emphasis on developing clear processes for collaboration between both departments.

Core elements of our sales-marketing alignment approach were:

  • Service Level Agreement (SLA): A formal document defining the responsibilities of both departments – from the lead volume marketing must deliver to the response time sales should maintain for new leads
  • Lead Handover Process: A clearly defined process for transferring leads from marketing to sales, including all relevant information and context
  • Lead Feedback Loop: A structured process through which sales provides feedback on lead quality to marketing
  • Shared Metrics: The definition of common KPIs by which both departments are measured
  • Regular Smarketing Meetings: Weekly meetings of both teams to discuss progress, challenges, and optimization potential

A particularly important aspect was implementing a lead status system that is transparent and understandable for both departments. Each lead goes through clearly defined status changes – from “New” through “Working” and “Qualified” to “Opportunity” and finally “Customer” or “Closed Lost”.

These clear processes and responsibilities led to a significant improvement in collaboration. The average lead response time from sales decreased from 48 hours to under 8 hours, while the quality of feedback to marketing increased significantly.

By the end of the second phase, we had built a functioning demand generation system: relevant content for each phase of the customer journey, a powerful marketing automation platform, a precise lead scoring model, and clear processes for marketing and sales collaboration. The foundations for optimization and scaling in Phase 3 were established.

Phase 3: Optimization and Scaling (Day 61-90)

Performance Tracking and Data Analysis

With the basic systems and processes from Phase 2, we could move to data-driven optimization in the third phase. First, we implemented a comprehensive performance tracking framework that captures all relevant metrics along the entire funnel:

  • Top-of-Funnel Metrics: Traffic sources, visitor behavior, content performance
  • Mid-Funnel Metrics: Conversion rates, lead qualification, nurturing effectiveness
  • Bottom-of-Funnel Metrics: Opportunity creation, sales velocity, win rates

Particularly important was the implementation of multi-touch attribution. Unlike simple last-click or first-click models, this approach considers all touchpoints on the path to closure and weights them according to their contribution. This allowed us to precisely identify which channels and content actually contribute to lead generation and conversion.

The data analysis revealed several interesting insights:

  • Although LinkedIn generated only 15% of traffic, these visitors were responsible for 32% of qualified leads
  • Contacts who attended the webinar converted to customers with 2.5 times higher probability
  • The combination of whitepaper download followed by blog visit was a strong predictor of purchase readiness
  • Emails sent on Wednesday mornings achieved a 28% higher open rate than the average

These insights formed the basis for targeted optimization measures in all areas of the demand generation strategy.

Iterative Campaign Optimization

Based on the data analysis, we continuously optimized all elements of our demand generation campaigns. We followed a test-and-learn approach with rapid iteration cycles:

  1. Formulate hypothesis (“We believe that X will lead to an improvement in Y”)
  2. Conduct A/B test or controlled experiment
  3. Analyze data and draw conclusions
  4. Roll out successful optimizations, discard failed hypotheses
  5. Formulate new hypotheses based on the insights gained

Some of the most successful optimizations included:

  • Content Optimization: Revision of the top 10 landing pages based on heatmap analyses and user feedback, resulting in an average conversion rate increase of 34%
  • Email Optimization: Refinement of subject lines, sending times, and CTAs, which improved the click-through rate by 27%
  • Nurturing Flow Optimization: Adjustment of sequences and timing to reduce engagement drops and increase the lead qualification rate by 22%
  • Lead Scoring Optimization: Fine-tuning of score weightings based on sales successes, which increased the MQL-to-SQL conversion rate to 27%

A particularly effective approach was “content repurposing” – transforming successful content into different formats to create more touchpoints and address different preferences. For example, the successful webinar spawned an in-depth blog article, an infographic, a short explanatory video, and several social media snippets – all with consistent messaging but different presentation formats.

Scaling Successful Measures

After several optimization rounds, we could clearly identify which measures delivered the best results. These were now specifically scaled to increase reach and generate more qualified leads.

The scaling included several dimensions:

  • Budget Reallocation: Shifting resources from less performing to high-performing channels and tactics
  • Audience Expansion: Extending successful campaigns to new, similar target groups
  • Content Scaling: Expanding successful content formats and topics into more comprehensive content hubs
  • Technology Enhancement: Integrating additional tools and features to expand functionality

A concrete example of successful scaling was the expansion of our LinkedIn campaign: Based on successes with the original target audience, we identified three additional, similar segments. Through targeted A/B tests, we validated the transferability of our messages and offers to these new segments and then gradually scaled the budget.

The scaling of our webinar concept was also successful. Following the success of the first webinar, we developed a series of four thematically sequential sessions – each with a specific focus, but all within the framework of our overarching thought leadership positioning. This webinar series became the central element of our demand generation strategy and continuously generated highly qualified leads.

Initial Results and ROI Analysis

Toward the end of the 90-day period, we could already observe significant improvements in all relevant KPIs:

  • The website conversion rate increased from the original 1.2% to 3.4% – an improvement of 283%
  • The number of MQLs generated monthly increased from 45 to 76 – a plus of 69%
  • The MQL-to-SQL conversion rate improved from 15% to 27% – an increase of 80%
  • The cost per qualified lead decreased from €380 to €210 – a reduction of 45%
  • The average lead velocity rate (monthly growth of lead volume) rose to 12%

Even though the actual revenue impact couldn’t yet be fully measured due to typical B2B sales cycles of 3-6 months, early indicators already pointed in the right direction:

  • The number of newly created opportunities increased by 47%
  • The average deal value increased by 12%
  • The sales velocity (speed at which leads flow through the sales funnel) improved by 31%

A preliminary ROI calculation already showed a positive picture after 90 days: For every euro invested in the demand generation roadmap, a return on investment of 2.3 euros was achieved – with an upward trend, as many of the implemented measures have long-term effects and continuously generate leads.

Particularly noteworthy: The predictability of pipeline growth improved significantly. Through the implemented tracking and attribution system, the company could now precisely predict how investments in certain channels and measures would affect pipeline development – an enormous advantage for strategic planning.

By the end of the 90-day period, we had not only implemented a fully functional demand generation system but also laid the foundation for continuous, scalable growth.

Results and Impact after 90 Days

Metrics Before and After Implementation

After completing our 90-day roadmap, we could precisely quantify the improvements achieved. The following table shows the development of the key KPIs compared to the initial situation:

Metric Initial Value After 90 Days Improvement
Website Conversion Rate 1.2% 3.4% +283%
Marketing Qualified Leads (MQL) per Month 45 76 +69%
MQL-to-SQL Conversion Rate 15% 27% +80%
Cost per Lead (CPL) €380 €210 -45%
Lead Velocity Rate (monthly growth) 3% 12% +300%
Average Lead Response Time 48 hours 8 hours -83%
New Opportunities per Month 15 22 +47%
Pipeline Value €450,000 €740,000 +64%

Particularly noteworthy is not just the improvement in individual metrics, but especially the cumulative effect: More leads with higher quality at lower costs led to a significant increase in pipeline value.

Qualitative Improvements in the Sales Process

Besides the quantitative improvements, we observed numerous qualitative advances that are equally important in the long term:

  • Higher Lead Quality: The sales team reported significantly better informed and more purchase-ready leads. Conversations were more focused and led more quickly to concrete follow-up appointments.
  • Better Sales Materials: Through the created content assets, sales now had high-quality, target-group-specific materials for each phase of the sales process.
  • More Precise Target Audience Engagement: The detailed buyer personas enabled much more accurate addressing of pain points and needs of potential customers.
  • Improved Collaboration: The clear processes and common goals led to significantly better coordination between marketing and sales.
  • Data-Driven Decisions: All decisions could now be made based on concrete data, rather than relying on gut feeling or assumptions.

A particularly positive aspect: The better qualification of leads led to more efficient use of time in sales. The sellers could concentrate their time on the most promising leads instead of wasting valuable resources on unqualified contacts.

ROI Analysis and Business Impact

For a comprehensive ROI analysis, we considered all investments in the demand generation roadmap: technology, external support, content creation, media budgets, and internal resources. We compared these costs with the generated added value:

  • Direct Pipeline Increase: Additional €290,000 in qualified opportunities
  • Cost Efficiency: Reduction of lead generation costs by 45%
  • Time Savings: Reduction of administrative effort in sales by approximately 15 hours per week
  • System Value: Building a scalable system that continuously generates leads

The detailed ROI analysis showed a return on investment of 2.3 after 90 days, with a projected increase to 4.7 within the next six months – an excellent value for B2B marketing investments.

The broader business impact, however, went beyond these directly measurable figures:

  • Strategic Positioning: Through consistent thought leadership communication, the company could strengthen its market position as an expert in its niche.
  • Scalability: The built system enabled further growth without a proportional increase in marketing costs.
  • Knowledge Building: The internal team acquired valuable know-how in modern marketing methods and technologies.
  • Data Treasure: The collected data and insights formed a valuable basis for future decisions.

Long-term Forecast and Potential

Based on the achieved results, we created a long-term forecast for further development. This considered both already implemented measures and planned extensions of the demand generation system:

  1. Lead Growth: Continuous increase of monthly lead volume by 10-15% over the next 12 months
  2. Conversion Optimization: Further improvement of conversion rates through A/B testing and personalization
  3. Channel Expansion: Exploration of additional channels such as content syndication and influencer partnerships
  4. Technology Enhancement: Integration of AI-powered tools for predictive lead scoring and personalized content recommendations
  5. International Expansion: Adaptation of the successful strategy for additional markets

Based on this roadmap, we predicted an annual pipeline increase of at least 50% while simultaneously reducing the cost-per-opportunity by another 20-25%.

A decisive factor for long-term success will be the continuous development and adaptation of the strategy. The implemented processes and technologies form the ideal foundation for this, as they enable continuous testing, learning, and optimizing.

In summary, the 90-day demand generation roadmap has not only delivered short-term results but, more importantly, laid the groundwork for sustainable, scalable growth. Building a systematic, data-driven demand generation system has positioned the company to continuously generate qualified leads and precisely measure and optimize the ROI of its marketing activities.

Learnings and Best Practices for Your Own Roadmap

The 5 Most Common Pitfalls in Implementation

When implementing numerous demand generation projects, we’ve repeatedly encountered similar obstacles. Here are the five most common pitfalls – and how you can avoid them:

  1. Technology Before Strategy: Many companies invest in expensive martech tools before developing a clear strategy. This leads to costly systems that aren’t optimally used.
    Solution: First develop a clear strategy and processes, and then select the appropriate tools – not the other way around.
  2. Lack of Sales-Marketing Alignment: Without clear coordination between marketing and sales, the potential of demand generation fizzles out.
    Solution: Establish common goals, clear processes, and regular communication between both departments from the start.
  3. Focus on Volume Instead of Quality: The pursuit of as many leads as possible often results in pipelines filled with unqualified contacts.
    Solution: Define clear quality criteria and focus on generating high-quality, purchase-ready leads.
  4. Insufficient Measurement and Attribution: Without precise tracking, it’s impossible to measure success and optimize strategy.
    Solution: Implement a comprehensive tracking system with multi-touch attribution to understand the true value of each channel and measure.
  5. Scaling Too Quickly: Attempting to scale too many channels and tactics simultaneously often leads to inefficiencies and missed optimization opportunities.
    Solution: Start with a clearly focused approach, thoroughly optimize it, and only then scale step by step.

Avoiding these pitfalls is a crucial success factor for your demand generation roadmap. In our experience with the Brixon Group, companies save considerable resources by proactively addressing these points and also reach their goals significantly faster.

Critical Success Factors from Our Experience

Based on our experience report, the following factors have proven particularly critical for the success of a demand generation roadmap:

  • In-depth Understanding of Buyer Personas: The more precisely you understand your target audience – their pain points, information needs, and decision processes – the more effective your strategy will be. Invest time in qualitative interviews and data-driven analyses.
  • Content as Strategic Asset: High-quality, relevant content is the fuel of any successful demand generation strategy. Focus on quality rather than quantity and ensure each piece of content serves a clear purpose in the customer journey.
  • Data Integrity and Accessibility: The quality of your data determines the quality of your decisions. Ensure clean, complete, and easily accessible data in all systems.
  • Agile Implementation: Plan in short sprints rather than long project phases. This allows faster learning and adaptation of strategy based on real results.
  • Continuous Testing: Establish a culture of continuous testing and learning. Even small improvements can lead to significant results over time.
  • Executive Buy-in: Support from leadership is crucial, especially when it comes to overcoming departmental boundaries and providing necessary resources.
  • Building Competence in the Team: Invest in training your team. A successful demand generation strategy requires a broad spectrum of skills – from content creation to technology understanding to data analysis.

Companies that consider these success factors typically achieve significantly better and more sustainable results than those pursuing a purely tactical approach.

Technologies and Tools That Make the Difference

The right technology can significantly enhance your demand generation efforts. Based on our implementation experiences, we recommend the following core components of a modern martech stack:

  1. CRM System: The heart of your sales and marketing tech stack. It should capture all customer interactions and serve as a single source of truth. Leading solutions like Salesforce, HubSpot CRM, or Microsoft Dynamics offer comprehensive features and numerous integration possibilities.
  2. Marketing Automation Platform: This enables scaling your demand generation activities through automated workflows, lead scoring, and nurturing campaigns. Solutions like HubSpot, Marketo, or Pardot have proven themselves in B2B contexts.
  3. Content Management System: A flexible CMS is crucial for efficiently creating, managing, and optimizing your content assets. WordPress with appropriate plugins, HubSpot CMS, or Contentful offer good options for different requirements.
  4. Analytics and Attribution Tools: Specialized tools are essential for deep insights into the performance of your measures. Google Analytics 4, Bizible, or Oktopost offer advanced attribution and customer journey analytics.
  5. Conversion Optimization Tools: Solutions like Hotjar, Optimizely, or VWO enable A/B tests, heatmaps, and user feedback analyses for continuous improvement of your conversion rates.
  6. Sales Enablement Platforms: Tools like Seismic, Showpad, or Highspot support your sales team with the right content and insights at the right time.

However, what’s decisive is not the number of tools but their integration and strategic use. A lean, well-integrated stack is always preferable to an extensive but fragmented arsenal of tools.

Particularly noteworthy is the trend toward AI-powered solutions, which are becoming increasingly important in 2025. Marketo (2024) reports that integrating AI into demand generation processes increases the lead qualification rate by an average of 30%. Tools with AI capabilities for predictive lead scoring, content personalization, and intent detection should therefore receive special attention.

Recommendations for Different Company Sizes

The optimal approach to a demand generation roadmap varies depending on company size and available resources. Here are our specific recommendations:

For Startups and Small Companies (10-25 Employees):

  • Focus on one core target group and one main channel – better to excel in one channel than be mediocre in many
  • Prefer all-in-one solutions – platforms like HubSpot or ActiveCampaign offer integrated functions without the complexity of separate tools
  • Content efficiency through repurposing – create multiple formats and snippets from one high-quality piece of content
  • Early sales-marketing alignment – close coordination is particularly important in small teams and easier to implement
  • Rapid iterations and learning loops – experiment agilely and react quickly to insights

For Mid-sized Companies (25-100 Employees):

  • Systematic channel expansion – gradual exploration of new channels based on data and successes
  • Formalized processes for lead management – clear workflows, definitions, and SLAs between departments
  • Specialized resources for core tasks – dedicated roles for content, marketing operations, and analytics
  • Integration of specialized tools – extension of the basic stack with tools for specific use cases
  • Building in-house expertise – develop strategic competencies internally, potentially outsource tactical implementation

For Larger Companies (100+ Employees):

  • Global strategy with local adaptation – central processes with flexibility for regional particularities
  • Advanced analytics and attribution – investment in deep analysis capabilities for complex decisions
  • Cross-functional demand generation teams – bringing together marketing, sales, product, and analytics
  • Customized technology stacks – integration of specialized enterprise solutions for specific requirements
  • Governance framework for content and data – ensure uniform standards with decentralized creation

Regardless of company size: Start with a solid strategy, prioritize measures with the highest expected impact, and build your demand generation capabilities step by step, based on real results and insights.

The Brixon Group supports companies of all sizes with customized Revenue Growth Strategies tailored to their respective resources, goals, and maturity levels. Our methodical approach ensures that measurable results can be achieved even with limited means.

Outlook: Demand Generation Trends 2025 and Beyond

AI and Automation in Lead Generation

The integration of artificial intelligence and automation is fundamentally revolutionizing demand generation. According to a study by Marketo (2024), incorporating AI into demand generation processes increases the lead qualification rate by an average of 30%. By the end of 2025, according to Gartner, 75% of all B2B companies will be using AI-powered tools in their marketing.

The most important developments in this area include:

  • Predictive Lead Scoring: AI models analyze thousands of data points to predict purchase probability more precisely than traditional rule-based systems. Particularly advanced solutions also consider external signals such as job postings, funding rounds, or technology implementations.
  • Hyper-Personalization: AI enables personalization of content and offers at a granularity level previously unattainable. Instead of rough segmentation, individual preferences, behavioral patterns, and interaction patterns are considered.
  • Intent Data Intelligence: By analyzing browsing behavior, content consumption, and other digital footprints, AI systems can identify purchase intentions even before the potential customer actively interacts with your company.
  • Conversational Marketing: AI-powered chatbots and virtual assistants are becoming increasingly sophisticated and increasingly take over initial lead qualification and nurturing in conversation with potential customers.
  • Automated Content Creation: AI tools like GPT-4 and beyond support the creation of personalized content variants, A/B test versions, and localization of content for different markets.

As part of the Brixon Group’s Revenue Growth Strategy, we are already integrating these AI-powered approaches into our client projects today – with impressive results in terms of efficiency and effectiveness.

The Future of B2B Content Marketing

Content marketing remains a central pillar of successful demand generation, but the way content is created, distributed, and consumed is fundamentally changing. The DemandGen Report 2025 shows that 75% of B2B buyers make their decisions based on thought leadership content – yet the requirements continue to rise.

The following trends are shaping the future of B2B content marketing:

  • Interactive & Immersive Experiences: Static PDFs and blog posts are giving way to interactive assessments, 3D product visualizations, augmented reality applications, and personalized micro-sites that create an immersive experience.
  • User-Generated & Co-Created Content: The boundaries between company-generated and user-generated content are blurring. Successful B2B brands integrate customer voices, community contributions, and co-creation processes into their content strategy.
  • Content Atomization: Large content pieces are broken down into modular, reusable “atoms” that can be flexibly assembled into personalized experiences – aligned with individual preferences, consumption contexts, and phases of the customer journey.
  • Visual & Audio Dominance: Video content, podcasts, and visual formats continue to gain importance over text-based content. According to Edison Research (2024), 74% of B2B decision-makers regularly consume podcasts on professional topics.
  • AI-Curated Content Experiences: AI systems recognize individual information needs and automatically compile personalized content journeys that optimally guide the user through the decision process.

For practical implementation, this means: Content strategies must be thought of more flexibly, modularly, and cross-channel. The focus shifts from producing individual assets to orchestrating holistic content experiences along the entire customer journey.

Integration of Sales Intelligence and Predictive Analytics

The traditional separation between marketing and sales data is increasingly being overcome. Modern demand generation strategies integrate sales intelligence and predictive analytics to paint a holistic picture of the buying process and enable data-driven decisions in real time.

This integration manifests in several key trends:

  • Revenue Intelligence Platforms: These new platforms aggregate data from CRM, marketing automation, sales engagement tools, call analytics, and other sources to create a 360-degree picture of the buying process. They identify patterns that lead to successful closures and provide action recommendations.
  • Buyer Signal Monitoring: Advanced systems track not only direct interactions with your company but also external signals indicating purchase readiness – from job postings to technology installations to relevant expressions in social media.
  • Account Intelligence: The integration of third-party data and AI-powered analysis enables deeper insights into target companies – from technology stack and budget cycles to internal decision processes and buying committees.
  • Prescriptive Next-Best-Action: AI systems analyze historical data and current behaviors to suggest the optimal next action for each lead – whether a specific piece of content, a conversation offer, or a personalized offer.
  • Closed-Loop Analytics: The complete integration of marketing and sales data enables precise analyses of the actual ROI of each marketing activity and continuous optimization based on real sales results.

These developments lead to a fundamental realignment of collaboration between marketing and sales. Instead of sequential processes with defined handover points, a continuous, data-driven interaction between both departments emerges along the entire customer journey.

Sustainable Demand Generation Strategies

With the increasing maturity and complexity of demand generation activities, the question of sustainability comes to the forefront. By this, we mean not just ecological sustainability, but primarily the long-term viability and scalability of the strategy.

Sustainable demand generation strategies are characterized by the following features:

  • Ownership of Audience and Data: Instead of complete dependence on third-party platforms, successful companies build their own proprietary audiences and data assets. This reduces vulnerability to platform changes and rising acquisition costs.
  • Balance between Short-term Tactics and Long-term Asset Building: Sustainable strategies combine tactical measures for quick results with strategic investments in brand building, content assets, and community building.
  • Optimization for Customer Lifetime Value: The focus shifts from pure lead generation to identifying and acquiring leads with high long-term value potential.
  • Resilient, Diversified Channel Strategies: Rather than concentrating all resources on a dominant channel, forward-thinking companies develop a portfolio of channels that complement and safeguard each other.
  • Continuous Competency Development: Investment in continuous training of the team ensures adaptability to new technologies, platforms, and best practices.

The Brixon Group considers this sustainability perspective in all components of our Revenue Growth Strategy. We help our clients achieve short-term success without compromising the long-term scalability and resilience of their demand generation systems.

The outlook for demand generation in the coming years is both exciting and challenging. Companies that proactively embrace the described trends and integrate them into their strategy will gain a significant competitive advantage – in the form of lower acquisition costs, higher conversion rates, and ultimately accelerated revenue growth.

FAQ: Key Questions About the Demand Generation Roadmap

What is the difference between Demand Generation and Lead Generation?

Demand Generation and Lead Generation are often used synonymously but differ in their focus and timeframe. Demand Generation is the more comprehensive approach and aims to create awareness, interest, and demand for your products or services – often among people who aren’t yet actively looking for a solution. Lead Generation, on the other hand, focuses specifically on converting prospects into identifiable leads by capturing their contact information.

Demand Generation encompasses the entire marketing funnel from the early awareness phase to purchase completion and beyond, while Lead Generation primarily focuses on the middle part of the funnel. A successful Demand Generation strategy creates the foundation for effective Lead Generation activities by first generating interest and need that can then be converted into leads.

How long does it take for a Demand Generation Roadmap to deliver measurable results?

The timeframe until measurable results varies depending on the starting situation, industry, and specific goals. In our 90-day plan, we typically see the following development:

  • Days 1-30: First quick wins such as improved conversion rates on existing landing pages or reactivation of inactive contacts
  • Days 31-60: Significant improvements in lead volume and quality through implemented processes and initial content assets
  • Days 61-90: Measurable increases in pipeline volume and initial revenue indicators

For complete pipeline impact and ROI measurements, however, the typical B2B sales cycle must be considered, which can range from 3-12 months depending on the industry. The full effect of a Demand Generation Roadmap therefore often only unfolds after 6-12 months. Crucial is a continuous measurement framework that captures both early indicators (leading indicators) and final outcome metrics (lagging indicators).

What budget should be planned for a successful Demand Generation strategy?

The budget question strongly depends on company size, industry, competitive intensity, and goals. As a rough guide for mid-sized B2B companies, we recommend the following distribution:

  • Technology & Tools: 20-30% of the budget for marketing automation, CRM, analytics, etc.
  • Content Creation: 25-35% for developing high-quality content
  • Media Budget & Distribution: 20-30% for paid channels for content distribution
  • Personnel/Resources: 15-25% for internal or external implementation resources
  • Analytics & Optimization: 5-10% for measurement, testing, and continuous optimization

Studies by SiriusDecisions show that successful B2B companies invest an average of 6-10% of their revenue in marketing, with Demand Generation representing the largest single item. However, more important than the absolute size of the budget is strategic allocation and gradual scaling based on proven successes. At the Brixon Group, we recommend a gradual approach: start with a focused budget for a proof of concept, then gradual scaling based on measurable results and ROI.

How can the ROI of Demand Generation activities be precisely measured?

Precise measurement of the ROI of Demand Generation activities requires a sophisticated tracking and attribution model. We recommend a multi-level approach:

  1. Multi-Touch Attribution: Implement an attribution model that considers and weights all touchpoints in the buying process (e.g., position-based, time decay, or data-driven models).
  2. Closed-Loop Reporting: Connect marketing data with CRM data to track the complete path from first touch to closure.
  3. Customer Lifetime Value (CLV): Consider not just the initial sale but the entire customer value over the lifetime.
  4. Total Cost of Demand (TCD): Include all costs – direct campaign costs, technology, personnel, external service providers, etc.

The ROI calculation is then: ROI = (Generated Revenue × Profit Margin – Total Cost of Demand) / Total Cost of Demand

Additionally, we recommend tracking pipeline velocity metrics and opportunity influence analyses to also capture the indirect contribution of Demand Generation activities to accelerating the sales process. At the Brixon Group, we use dedicated dashboards in our Revenue Growth Blueprint that visualize both short-term performance indicators and long-term ROI metrics.

What competencies should an internal team have for successful Demand Generation?

A successful Demand Generation team needs a broad spectrum of competencies. The most important roles and skills include:

  • Strategic Planning: Ability to develop a holistic Demand Generation strategy based on business goals and buyer insights
  • Content Expertise: Competencies in content strategy, creation, and optimization for various formats and channels
  • Marketing Automation: Technical know-how to set up and manage workflows, scoring models, and campaigns
  • Data & Analytics: Skills in data analysis, performance tracking, and data-driven decision making
  • Digital Marketing: Knowledge in SEO, SEM, social media, email marketing, and other digital channels
  • CRM & Sales Enablement: Understanding of sales processes and the interface between marketing and sales

For mid-sized companies, it’s often not realistic to build all these competencies internally. A hybrid approach is frequently most effective: Core competencies such as strategy and campaign management are built internally, while specialized skills such as technical implementation or content production are supplemented by partners like the Brixon Group or freelancers. Particularly important is a dedicated role for Marketing Operations that acts as a link between strategy, technology, and execution.

How do the AI developments of 2025 concretely affect B2B Demand Generation?

The AI developments of 2025 transform B2B Demand Generation in several concrete areas:

  • Hyper-personalized Customer Journeys: AI systems analyze thousands of data points in real-time to orchestrate a tailored journey for each individual contact – with dynamically adjusted content, timing, and channels.
  • Intent-based Outreach: Advanced AI algorithms detect buying signals by analyzing browsing behavior, social media activities, and company changes, often before a company even actively searches for solutions.
  • Generative Content Creation: AI systems support creating personalized content variants at scale – from individualized whitepapers to dynamic landing pages that adjust depending on the visitor.
  • Prescriptive Analytics: Instead of just analyzing historical data, AI systems provide concrete recommendations for future activities – from optimal content strategy to ideal budget allocation.
  • Real-time Adjustment of Campaigns: AI systems continuously optimize campaigns in real-time based on performance data and changing market conditions, without manual intervention.

Particularly important is the shift from rule-based to fully dynamic systems that continuously learn and adapt. In our Revenue Growth Strategy at the Brixon Group, we are already integrating these AI capabilities today to create competitive advantages for our clients and significantly increase the efficiency of Demand Generation activities.

How can a Demand Generation strategy be optimized for longer B2B sales cycles?

Longer B2B sales cycles of 6-12 months or more require specific adjustments to the Demand Generation strategy:

  • Deep Nurturing: Develop multi-stage, complex nurturing sequences that supply leads with relevant content over months and maintain engagement.
  • Account-Based Approach: Focus on targeted processing of specific accounts and all relevant stakeholders in the buying committee through coordinated multi-channel activities.
  • Progressive Profiling: Gradually collect more information about leads to refine personalization and build sales intelligence.
  • Advanced Lead Scoring: Implement a multidimensional scoring model that also captures subtle signals of purchase readiness and is regularly recalibrated.
  • Milestone-based Measurement: Define intermediate goals and conversion points along the funnel to measure progress even before the final closure.
  • Sales Enablement Content: Create specific content for the late phases of the buying process that supports sales in complex negotiations.

Particularly important is implementing a robust re-engagement strategy for leads that temporarily become inactive – which often happens with long sales cycles. In our Revenue Growth Blueprint at the Brixon Group, we use a special “Long Cycle Nurturing Framework” that specifically addresses the challenges of long B2B decision processes and ensures regular touchpoints over an extended period.

Takeaways

  • The opportunity to focus on more complex tasks emerges early on.
  • Developing versatility will undoubtedly be a key to success.
  • Emotional intelligence will help fulfill a sense of competence.