AI FOR B2B MARKETERS SUMMIT
THE AI GROWTH BLUEPRINT: A PRACTICAL FRAMEWORK TO BUILD, SCALE, AND DRIVE REVENUE WITH AI MARKETING
Your Guides For Today
The summit features several expert guides who will be presenting throughout the event.
What we're covering
- Understanding the Real AI Opportunity: What you need to know (not the technical stuff)
- The AI Growth Matrix: Moving from possible to practical
- Building Your AI Roadmap: Your roadmap to success
- Keys to Success: Lessons learned from the field
Where Are You Now?
What's your biggest Marketing challenge right now?
- Creating effective content at scale:
- Personalizing customer experiences:
- Measuring & optimizing campaigns:
- Managing data & analytics:
- Team adoption & change management:
A Pragmatic Vision for AI
Combine human expertise with AI capabilities to drive operational excellence and sustainable growth - not by replacing people, but by empowering them to do their best work.
Understanding the Real AI Opportunity
It's not about technology. It's about solving real business challenges.
A Working Definition of Artificial Intelligence (AI)
Artificial Intelligence is technology that allows computers and machines to simulate:
- Learning:
- Comprehension:
- Problem solving:
- Decision making:
- Creativity:
- Autonomy:
What You Really Need to Know About AI
- AI Learns From Your Marketing Data: AI gets smarter by analyzing campaign performance, audience behavior, and outcomes. The more context you give it, the better it can support your team's decisions.
- AI Enhances Your Team, It Doesn't Replace It: AI takes on tasks like reporting, segmentation, and testing—freeing up marketers to focus on the strategy, insights, and ideas only humans can deliver.
- AI Needs Clear Marketing Direction: AI works best when guided by marketers who define the goals, KPIs, and boundaries. It's a partner—not a pilot—driving results with your strategy at the wheel.
AI is More Than Content Creation
- Process Automation AI: Marketing workflow automation, A/B test setup and analysis, CRM data entry & cleanup, Campaign reporting & dashboard generation
- Predictive Analytics AI: Lead scoring & conversion prediction, Churn forecasting, Campaign performance optimization, Product demand modeling
- Customer Experience AI: 24/7 AI-powered chat & virtual assistants, Voice AI for phone-based customer support, Sentiment analysis & intelligent routing in call centers, Personalized website and app experiences
- Content Generation AI: Campaign copy & ad variations, Scalable email personalization, Social media post generation, SEO optimized blog drafting
Success with AI isn't about technology
It's about smarter marketing decisions
The AI Growth Matrix
You're Not in the Business of AI. You're in the business of growth.
The Pragmatic AI Growth Matrix
- Get Business: Focused on what needs to be done to get new customers
- Deliver Excellence: Focused on what needs to be done to deliver the best products and services
- Grow Business: Focused on what needs to be done to grow and deepen customer relationships
- Run Smart: Focused on what needs to be done to build, run, and maintain the "well-oiled machine"
What Actually Matters To Marketing
- Acquisition: Driving new business through targeted campaigns, lead generation, and market expansion strategies.
- Engagement: Building meaningful customer relationships through personalized experiences, content, and lifecycle marketing.
- Optimization: Improving campaign performance, conversion rates, and ROI across channels by using data to work smarter.
- Innovation: Adopting emerging technologies and strategies to stay ahead of trends and elevate your brand's impact.
The Pragmatic Marketing AI Growth Matrix
- Acquire Smarter: Targeting, ad spend efficiency, qualified lead flow
- Convert Faster: AI-assisted selling, messaging, predictive modeling
- Engage Better: Personalization, customer support, real-time content
- Operate Leaner: Automate reporting, create SOPs, optimize spend, reduce manual work
Quick Question: What is one task you do 3 times a day or more?
What regular tasks make you think "there has to be a better way"?
- Examples:: Manually building reports or dashboards from multiple tools, Copy/pasting campaign performance data into slides, Writing repetitive email or social post variations, Sorting leads and assigning follow-up priorities, Adjusting ad spend across channels without clear signal, Hopping between platforms to update status or performance metrics
Acquire Smarter
Use AI to attract, engage, and convert new customers faster.
- Lead Generation: Optimize ad spend, target ideal customers, and personalize campaigns at scale using Predictive AI (Lead scoring, lookalike modeling, churn prediction) with tools like Sixth Sense, Seamless.AI, Lindy.ai
- Campaign Execution: Automate routine tasks and generate audience-specific creative using Generative AI (Personalized ad copy, social captions, email subject lines) with tools like Jasper, Copy.ai, Jacquard (formerly Phrasee)
- Customer Outreach: Convert prospects and reduce drop-off with intelligent follow-up using Conversational AI (Chatbots, SMS/email assistants for lead nurturing) with tools like Drift Conversational AI, Voicify.com
Convert Faster
Use AI to turn interest into action and reduce friction in the path to purchase.
- Lead Nurturing: Move prospects through the funnel with intelligent, behavior-based outreach using Conversational AI (Email follow-ups, chatbots, SMS for guided selling) with tools like Exceed.ai, Conversica, Reply.io
- Funnel Optimization: Identify and remove friction in the customer journey using Predictive AI (Funnel drop-off prediction, optimal send times) with tools like Oribi, Intellimize, Dynamic Yield
- Offer Personalization: Deliver the right message, at the right time, to drive conversion using Generative AI (Dynamically tailor CTAs, headlines, landing pages) with tools like Mutiny, Personyze, RightMessage
Engage Better
Use Al to strengthen customer relationships, increase loyalty, and boost lifetime value.
- Retention Campaigns: Prevent churn and increase customer stickiness using Predictive Al (Churn scoring, lifetime value forecasting) with tools like Retention Science, Optimove, Amplero
- Personalized Journeys: Adapt content and timing to individual behaviors using Recommendation Systems (Suggest next-best actions and offers) with tools like Blueshift, Insider, Klaviyo's Al Tools
- Customer Feedback Loops: Turn insights into marketing action using Generative Al (Summarize reviews, generate follow-up campaigns) with tools like AskNicely, Amperity, Zonka Feedback
Operate Leaner
Focused on what needs to be done to build and run the "well-oiled machine"
- Campaign Reporting: Automate the collection and distribution of performance data using Conversational Al (Auto-generate summaries and share insights across teams) with tools like Looker Studio, Proof Analytics, Adobe Campaign
- Content & Asset Management: Organize, tag, and distribute creative assets across channels using Knowledge Management Al (Surface and repurpose content effectively) with tools like Mindmatrix, Adobe Campaign, Bynder
- Budget & Resource Planning: Forecast campaign ROI and plan team capacity using Predictive Al (Estimate campaign costs, time to impact) with tools like Forecast, ClickUp, Timely, Proof Analytics
Success Story: From Data Chaos to Marketing Clarity
A global medical equipment manufacturer's marketing team was drowning in disconnected data. With campaigns running across twelve platforms and over 40 hours a month spent assembling reports, they still lacked a clear view of marketing performance.
- The Solution: Unified campaign and customer data from all platforms, Automated reporting across key metrics (ROI, CAC, CLV, engagement), Built a single source of truth for marketing performance
- The Impact: 40% reduction in time spent on manual reporting, 30% improvement in campaign optimization and spend efficiency, Enabled real-time decisions on creative, targeting, and media mix
Building Your Marketing Al Roadmap
Effective Marketing AI Roadmaps:
Effective Marketing AI Roadmaps
- Reflect campaign and channel priorities: Because not every initiative deserves equal time or spend
- Show measurable progress across quarters: Because your CFO and CMO won't wait 18 months for ROI
- Allow for agility in execution: Because audience needs, market conditions, and tech are always changing
Prioritize with Reality
Priorities should align with business goals while considering resource and time constraints.
- 1. Prioritize by impact and effort:
- 2. Allocate based on resources across three timeframes:: Now: the next 3-6 months, Next: 6-12 months, Future: 12+ months
Going from the Possible to the Practical
- What you can do with AI: Explore a wide range of marketing AI use cases based on your business needs and challenges.
- What you should do with AI: Prioritize use cases based on impact and effort to focus on the most valuable opportunities.
- What you will do with AI: Execute a strategic AI roadmap—rolling out initiatives in phases: Now, Next, Future for long-term success.
Keys to Success
Strategies for successful AI implementation in marketing
Establish an AI Task Force
A cross-functional team that ensures AI investments directly support growth, campaign efficiency, and customer experience-while aligning with broader business strategy.
- Why It Matters: Faster Results - Teams share learnings, avoiding duplication of effort. More Focus - You only prioritize use cases that solve real problems. Better Buy-In - Foster ownership by including key stakeholders from the start.
- Who's Involved?: Marketing Lead or Director - Owns the roadmap and connects AI to growth goals. Sales or Customer Success - Surfaces pain points AI can solve (like lead scoring or retention). Ops, IT, Legal/Compliance - Ensures AI tools are practical to implement, don't create unnecessary risk, and align with your existing processes and policies.
Create and Uphold an AI Policy
A smart AI policy ensures your team uses AI tools responsibly, protects your brand, and stays compliant while moving fast.
- Purpose and Scope: Define how AI will (and won't) be used in marketing - content, customer data, campaign optimization, etc.
- Compliance & Brand Safety: Reference privacy laws, ad regulations, and brand voice standards. Avoid risky or off-brand automation.
- Data Management: Clarify what data can be used for personalization or training AI tools. Ensure ethical data sourcing and privacy.
- Governance & Guardrails: Set clear rules for reviewing AI-generated content, auditing results and training your team on responsible use.
Foster a AI Learning Culture
AI success in marketing depends on more than tech—it requires shared learning, smart experimentation, and clear communication across teams.
- Encourage Open Knowledge Sharing: Avoid "rogue AI" use by sharing what works (and what doesn't) across campaigns, teams, and tools.
- Support Continuous Improvement: Speed up creative testing, segmentation strategies, and content optimization by learning from real results.
- Showcase Wins to Build Confidence: Highlight quick wins to reduce skepticism and show how AI improves campaign speed, relevance, and ROI.
- Create Safe Spaces to Experiment: Give your team permission to test AI tools thoughtfully—without risking brand reputation or compliance.
The First 5 Steps to Smarter AI Marketing
- Assemble a Cross-Functional Squad: Bring together marketing, sales, ops, and compliance to align on real challenges and opportunities.
- Define Your Guardrails: Clarify how AI will (and won't) be used across campaigns, data, and content (protecting your brand and customers).
- Prioritize Revenue-Driving Use Cases: Focus on AI that improves lead conversion, boosts campaign performance, or reduces churn.
- Map a Smart Roadmap: Build a phased plan - from quick wins to long-term AI-powered marketing transformation.
- Tap the Right Partners: Avoid shiny objects. Collaborate with experts who understand how to translate AI into growth.
Unlock Your AI Marketing Superpowers!
Get Your FREE "Complete AI Toolkit for Marketers" Guide:
- Discover 50+ Top AI Tools: Categorized for: Acquisition, Conversion, Engagement & Operations
- Master LLMs with Comparisons & Pro-Tips: ChatGPT, Claude, Perplexity & more for marketers
- Actionable Checklists & Frameworks: For AI integration, tool selection & maximizing ROI
- Your Blueprint for an Intelligent Martech Stack in 2025: https://bit.ly/2025AIMarketingToolkit
Connect With Us
Presenter
Susan Westwater
Email: susan@pragmatic.digital, LinkedIn: linkedin.com/in/susanjwestwater, X: @SJW75
Presenter
Scot Westwater
Email: scot@pragmatic.digital, LinkedIn: linkedin.com/in/scotwestwater, X: @scotwestwater
A1 for B2B Marketers Summit™
A Marketing AI Institute Event
Speaker
Susan Westwater
Pragmatic Digital
Speaker
Scot Westwater
Pragmatic Digital
Other Books and Organizations
- Books: Marketing Artificial Intelligence: AI, Marketing, and the Future of Business, Paul Roetzer and Mike Kaput; Co-Intelligence, Ethan Mollick; Writing is Designing, Andy Welfle and Michael Metts
- Organizations: The Marketing AI Institute (https://www.marketingaiinstitute.com/), Open Voice Network (part of Linux Foundation AI & Data) (https://openvoicenetwork.org/), AI in CHI Meetup (https://www.meetup.com/aiinchi/)
People We Follow
Expert
Paul Roetzer
Founder of Marketing AI Institute, LinkedIn: https://www.linkedin.com/in/paulroetzer/, Podcast: The Artificial Intelligence Show
Expert
Ethan Mollick
Associate Professor at The Wharton School, LinkedIn: https://www.linkedin.com/in/emollick/, Newsletter: One Useful Thing
Expert
Brian Roemmele
Futurist and AI Expert, X: https://twitter.com/BrianRoemmele, Newsletter: Multiplex