Webinar Summary: FUTURE-READY DEMAND GENERATION 2025 – An Action Plan!

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This webinar “DEMAND GENERATION in 2025” emerges from a pivotal question: Are you ready to adapt to shifting buyer behaviors, smarter technologies, and AI-powered tools to drive future growth in B2B marketing?

From On-Premise to Autonomous: The Transformative Journey of Enterprise Software

2024 Going into 2025: What Does the Market Say About Past Experiences?

Enterprise technology has evolved significantly over the last 30 years, starting with a focus on hardware and software. This foundational phase set the stage for transformative shifts.

Pre-Cloud Era: The Foundations

In the pre-cloud era, companies relied on on-premise solutions. Giants like Microsoft, SAP, and Oracle are dominated by software managed in-house, requiring heavy investments in physical infrastructure.

The SaaS Journey: A Market Boom

The SaaS revolution redefined enterprise tech, growing 20% annually over the last 15 years. Adobe and VMware led this shift to subscription models, while tools like Slack and Zoom democratized access with user-friendly platforms. However, amid economic challenges, the U.S. market saw a slight slowdown last year.

Pay-Per-Use Models: The Consumption Economy

The pay-per-consumption model, introduced over a decade ago by Dropbox, is now mainstream. Enterprises increasingly value this flexible, cost-efficient approach.

A Historical Perspective: Phases of Enterprise Software

  1. 1990s – The Ownership Era: Companies managed on-premise servers and infrastructure with solutions from Microsoft and Baan.
  2. 2000s – The Cloud Revolution: AWS and virtualization drove a shift to scalable, cost-effective cloud computing.
  3. 2010s – The Subscription Boom: SaaS flourished, moving from perpetual licenses to subscriptions, with self-serve tools easing adoption.
  4. 2020s – AI Takes Over: AI tools like OpenAI and Gong are transforming workflows, with AI-agent marketplaces emerging.

What’s Next: Autonomous Systems

By 2030, enterprise software will likely feature AI-driven systems automating growth with minimal human input, enabling smarter, more sustainable SaaS.

Big Picture: Enterprise software has been on an incredible journey—from servers to SaaS to the era of AI. Each evolution has made it faster, smarter, and increasingly autonomous. Historically, technology has transformed significantly, but software has always been the driving force. With the advent of Generative AI, SaaS itself is evolving. What was once Software as a Service is now shifting toward a Service as a Software model, driven by consumption-based pricing and autonomous functionality.

Evolution of Enterprise Software by Winning by Design

Setting the Stage: What’s Changing in 2025?

As we look ahead to 2025, the global landscape is poised for significant shifts. While India and China have been growing consistently at over 10% CAGR for the past two decades— North America and Western Europe are sowing near 10% growth potential in 2025.

Global marketers, who might have de-focused a bit of time to come back to  North America and Western Europe, are now poised for a tech-driven resurgence and ripe for demand-generation strategies.

IT Growth 2025

The Buyer Journey: Winning at the Moments of Truth

The Real Game-Changer: Understanding buyer behavior. The concept of the Zero Moment of Truth (ZMOT) really stood out as a pivotal shift in how decisions are made.

The Zero Moment of Truth (ZMOT) is a concept popularised by Google to describe the most important moment in a customer’s decision-making before a purchase. It is when a customer looks up information about a product, service, or brand online.

In a multi-stage  B2B journey, the MOT can be broken into 3:

  • The stimulus
  • The first moment of truth (FMOT)
  • The second moment of truth (SMOT)

The stimulus is the first time a consumer hears about a product or brand, the FMOT is the first time the consumer sees the product on a store shelf, and the SMOT is the experience after the buy.

With the rise of the internet and the increased availability of information, a new stage appeared before the FMOT, which Google called the Zero Moment of Truth. This step is the online research and evaluation that consumers do when purchasing. During the ZMOT, consumers gather information, read reviews, compare prices, watch videos, and ask others what they think about a product or company.

The ZMOT is a crucial chance for businesses to connect with potential customers and affect their decisions. It shows the importance of having a strong online presence, providing useful material, and actively managing online reviews and feedback.

  • <ZMOT (Before the Need): Engage buyers before they even realize they need you.
  • ZMOT (Research Phase): Be the trusted guide when buyers are exploring their options.
  • FMOT (First Interaction): Nail your first impression with personalized demos or ROI-driven insights. 

Pro Tip: Brands can win at Moments of Truth by understanding buyer behavior/journey—engage early during ZMOT with valuable content, guide decision-making at FMOT with compelling experiences, and reinforce loyalty at SMOT through exceptional post-purchase engagement.

Moments of truth for B2B buyers

From Address Books to Autonomous Systems: The Tech Stack Revolution

Remember when CRMs were just glorified address books? In the early days, Salesforce and HubSpot were primarily customer recordkeepers—brilliant systems of record. But that’s no longer the case!

These platforms transitioned from CRM tools to SMarketing automation and integration hubs. Over time, they incorporated dynamic intelligence, ushering in the Smartech explosion. Today, these tools have evolved into more than just systems of record; they are becoming autonomous GTM systems.

What’s Driving This Evolution?

Smart vendors are adding intelligence, automation, forecasting, and AI to their tech. This actionable intelligence is the most precious layer. It’s not just about collecting data anymore—it’s about turning that data into actionable advice. The vendor that provides the best actionable insights and tangible results will dominate the market.

Here are the key advancements driving smarter sales:

  • AI-Powered Prospecting: Tools like 6Sense and LinkedIn Sales Navigator leverage artificial intelligence to identify and prioritize leads.
  • Automation Platforms: These platforms turn raw data into actionable insights, streamlining decision-making processes.
  • Smartech Systems as Co-Pilots: Smartech tools now act as virtual co-pilots for sales teams, guiding their strategies with real-time, data-driven advice.

What’s Next?

Tomorrow, the big players will aim to evolve even further. The goal is to create fully autonomous GTM systems that don’t just help teams execute but anticipate and act independently to drive business outcomes.

Takeaway: Smart tools lead to smarter sales. Investing in platforms that enhance actionable intelligence ensures your data works harder for you and positions your team for future success.

SaaS tools

Data Enrichment: The Secret Sauce

Here’s the truth: Raw data is just noise without enrichment. By combining first-party insights, second-party data from partners, and third-party tools, you can build a crystal-clear picture of your target audience.

Why Data Enrichment Matters

Data is the foundation of effective decision-making. However, raw or incomplete data often leads to inefficiencies, missed opportunities, and costly errors. Data enrichment transforms fragmented information into actionable insights, enabling businesses to:

  • Understand their market better.
  • Prioritize high-value leads with precision.
  • Streamline processes that once required extensive manual effort.

With enriched data, businesses can confidently align their strategies with their goals, ensuring every decision is data-backed and impactful.

The Complexities of Data Enrichment

The sales and marketing space is more crowded than ever, with over 17,000 tools available today. While these tools promise to optimize processes and drive revenue, they often lead to tech fatigue, overwhelming sales teams rather than empowering them.

This phenomenon, known as the “Tech Treadmill,” highlights how businesses frequently invest in new tools but fail to see meaningful returns. Instead of focusing on effectiveness, they prioritize features, creating bloated tech stacks that deliver minimal value.

  • SaaS spending hit $208 billion in 2023, with companies spending an average of $7,900 per employee—more than healthcare costs.
  • 42% of sales teams fail to see ROI from their tools, and 50% or less of purchased tool capabilities are utilized.

The Hidden Costs of Complex Tech Stacks

The increasing complexity of tech stacks poses significant challenges for sales teams:

  • Data Overload: Too much information results in analysis paralysis, making actionable insights harder to uncover.
  • High Costs: Subscriptions, bundling, and feature bloat contribute to soaring expenses (SaaS shrinkflation).
  • Poor Data Quality: Irrelevant or fragmented insights waste valuable time.
  • Reduced Selling Time: Sales reps now spend 33% less time selling, buried under tools instead of focusing on closing deals.

The Sales Intelligence Layer: Cutting Through the Noise

At LeadStrategus, we prioritize the Sales Intelligence layer because it addresses the most critical challenges: data overload, poor data quality, and high costs. This layer is pivotal in transforming raw data into actionable insights and enabling data-driven selling.

  • Gartner predicts that 60% of B2B organizations will adopt data-driven selling by 2025.
  • The global Sales Intelligence market, valued at $3.99 billion in 2023, is projected to reach $10.25 billion by 2032 (CAGR: 11.2%).

The Asia-Pacific region is leading this growth with a CAGR of 15.2%.

Building a Sales Intelligence Tech Stack: Key Areas and Tools for Success

To build an effective sales intelligence tech stack, focus on these key areas and tools:

  1. Revenue & Funding Info: Understand financials to prioritize high-growth companies.
    Key Tools: Crunchbase, PitchBook
  2. Technographics: Know the tech stack to tailor your solutions.
    Key Tools: BuiltWith, Datanyze, Clearbit
  3. Hiring Trends: Watch for changes in senior leadership, especially in digital roles.
    Key Tools: LinkedIn, Glassdoor, Indeed
  4. Buying Intent Signals: Track surge topics to gauge buying interest.
    Key Tools: Bombora, G2
  5. Traffic Insights: Analyze mobile, desktop, and social media traffic for better targeting.
    Key Tools: Google Analytics, SimilarWeb, Social Media Analytics
  6. Recent News: Stay updated on company news to spot potential buying signals.
    Key Tools: Google Alerts, Meltwater

By combining these insights and tools, you can better target prospects and boost your sales effectiveness.

Sales Intelligence Tech Stack

Clay: Redefining Data Enrichment with Real-Time Insights and Automation

Clay solves the challenges of fragmented insights and inefficient processes by combining in-house data models with over 100 external integrations. It delivers real-time, enriched data with customizable, no-code workflows, allowing users to tailor solutions without technical expertise.

Hyper-Targeted Lists: Generate dynamic prospect lists using filters like job changes, funding rounds, or tech stacks for laser-focused outreach.

Automated Enrichment: Pull personalized insights like LinkedIn bios, GitHub activity, or job openings to craft tailored messages.

Real-time Workflows: Trigger follow-ups based on live actions (e.g., email opens, job changes) for timely outreach.

Scalable Personalization: Add unique data points to templates for personalized emails or LinkedIn messages that feel human.

Team Collaboration: Share views, sync data, and iterate on targeting criteria together in one platform.

Addressing Business Challenges
Clay answers key questions for businesses:

  • Verifying industry-specific companies (e.g., “Medical Devices”)
  • Identifying companies with recent funding (Series A, B, C)
  • Tracking competitors’ market activities and growth
    Traditional tools like Crunchbase and LinkedIn require manual work, which is time-consuming and error-prone. Clay automates processes, helping teams qualify leads faster and improve workflows.

Use Cases
Clay simplifies complex business tasks:

  • Company Data Enrichment: Extract details like industry, employee size, and founding year from LinkedIn, Clearbit, and Harmonic.ai. Accuracy ranges from 80%–95%.
  • Lead Scoring Automation: Automate lead qualification using company size, tech stack, and CRM data, eliminating manual cross-checking.
  • Data Integrators: Access enriched company and personal data through partnerships with Apollo.io and LeadMagic.

Efficiency with Credits-Based System
Clay’s credits-based system processes data efficiently, with varying accuracy (80%–95%) based on the source, helping users optimize workflows within budget.

Controversy and Innovation
While Clay’s use of automation and external data sources raises concerns, it challenges the industry’s focus on efficiency versus data integrity, advocating for integrated, real-time data for smarter decisions.

In Summary: Clay redefines data enrichment by centralizing insights, eliminating inefficiencies, and providing no-code tools for faster decision-making. It empowers teams to stay competitive in today’s data-driven market.

Clay

Revolutionizing Trade Show Success with ABM Strategies

Trade shows are valuable for connecting with high-value prospects, but success requires strategy.

ABM Framework: Turning Trade Shows into Goldmines

ABM strategy drives success at events. Here are the key elements of the ABM framework:

  • Curated Attendee Lists: Identify high-intent attendees using robust data extraction and filtering.
  • Personalized Outreach: Craft-tailored, research-backed conversation starters.
  • On-Ground Support: Provide thought leadership, logistics, and strategic support to nurture relationships.
  • Real-Time Prospect Insights: Offer actionable intelligence on prospects who agree to meetings.

Post-Event Follow-Up: Efficiently manage logistics and schedule meetings with high-potential prospects.

The Step-by-Step Process of LeadStrategus-led Trade Show Success with ABM Strategies for a Software Development Company for Medical Devices Manufacturer in Europe.

Event Overview:

  • The event took place in Europe, with 83,000 professionals and 5,300 exhibitors in attendance.

    The target audience included medical device consultants from Australia, the EU, and the USA, contractual device manufacturers from India, APAC, and the EU, and companies needing digital product engineering from the USA, the UK, and the EU.

ABM Framework Implementation:

  • Using the ABM framework, 10,000 data points were extracted and enriched.

    Out of the 8,450 qualified records, 760 high-potential prospects were identified, resulting in 27 successful meetings and unlocking new collaboration opportunities.

Efficiency Through Technology:

  • The process was made more efficient with advanced tools such as Web Scrapers, Clay for data enrichment, and GPT models for qualification.

    The time per record was optimized to 5-7 minutes, ensuring a 100% accuracy rate.

Outcome and Impact:

  • The outcome was a fivefold increase in CXO meetings at the healthcare event, demonstrating the effectiveness of data-driven event strategies in driving conversions and ROI.

AI SDR’s: Your New Demand Gen Sidekick

AI stole the show as we explored how it’s transforming demand generation. From crafting hyper-personalized emails to scoring leads and optimizing campaigns, AI is doing the heavy lifting so you can focus on strategy.

Here’s the truth: AI isn’t here to replace us; it’s here to supercharge what we do.

Pro Tip: Get friendly with tools like ChatGPT or Jasper AI to improve your sales messaging and save time.

The rise of AI in sales development has revolutionized how businesses approach lead generation and outreach. AI Sales Development Representative (SDR) tools are designed to streamline repetitive tasks, personalize communication, and leverage multi-channel strategies to drive better results.

Our Take on AI SDRs

After evaluating hundreds of AI SDR tools and sitting through countless demos, we realized most of them are essentially marketing or sales automation platforms with a layer of AI, like ChatGPT, applied.

Can AI SDRs replicate a human? Probably not—but they can definitely make life easier. They excel at tasks like understanding what a client wants and offering tailored suggestions, sometimes even better than humans.

However, as smart marketers, we need to experiment with these tools and measure their impact. Right now, they don’t excel at tasks like telecalling. The best human SDRs can handle those personal conversations and close deals.

But AI SDRs are brilliant at:

  • A baseline – though not comprehensive understanding of client needs.
  • Improving efficiency in lead nurturing.

The key is knowing where these tools shine and leveraging them to complement—not replace—your team.

Comparing AI SDR Tools: Features, Costs, and User Feedback

AI-SDR tools

Skills to Stay Ahead

AI is great, but human skills still play a huge role. The webinar outlined three key skills you’ll need to stay ahead in 2025:

As sales continue to evolve, three competencies—Mentalizing, Tactical Flexibility, and AI Partnership—will define success. Sellers who master these skills will thrive in dynamic environments, balancing human expertise with AI-driven innovation.

  • Mentalizing: Sellers focus on understanding the buyer’s emotions and behaviors through active listening, cognitive decoding, and perspective-taking, building trust and fostering successful outcomes.
  • Tactical Flexibility: High-performing sellers adapt to changing environments by continuously learning, adjusting strategies based on buyer behavior, and tailoring solutions to unique situations, delivering value in dynamic circumstances.
  • AI Partnership: Sellers collaborate with AI to optimize tasks like messaging and data collection, identify use cases in sales, and use prompt engineering to generate insights, improving workflows and decision-making.

Gartner emphasizes that AI collaboration is becoming a critical skill. Sellers who embrace AI and integrate it into their processes will unlock new levels of productivity, personalization, and impact.

By collaborating with AI, sellers can focus on high-value tasks like relationship-building and solution crafting while leveraging technology to boost efficiency and accuracy.

Takeaway: AI might do the heavy lifting, but it’s up to us to steer the ship.

Gartner

Future Trends to Watch

Looking ahead to 2025, several fascinating trends are expected to take shape:

  • Autonomous Sales Systems: Sales tools that run themselves, from data collection to execution.
  • Hyper-Personalization: Using AI and enriched data to deliver ultra-targeted campaigns.
  • Agile Tech Adoption: Businesses that quickly adapt to new tools will dominate the market.

Pro Tip: The future is fast-paced—stay curious, keep learning, and embrace change.

Your Next Steps

Now’s the time to take action:

  • Review your tech stack and spot any gaps in automation and intelligence.
  • Start exploring AI tools for lead scoring and messaging.
  • Invest in data enrichment to create more targeted campaigns.

Quick Poll Results

We asked participants where they stand on key topics, and here’s what we found:

  • 65% are already using AI tools in their demand-generation efforts.
  • 40% admitted they struggle with integrating data across platforms.
  • Top Wish List: Better tools for lead scoring and audience segmentation.

Pro Tip: If you’re not using AI yet, start small—try tools like Warmly.ai or Apollo.io for immediate impact.

Final Thoughts

Demand generation in 2025 is all about blending human insights, enriched data, and AI-driven tools. It’s a future where smarter systems meet sharper strategies—and those who prepare now will reap the rewards.

Got questions or want to dive deeper into any of these topics? Let’s chat!