B2B Marketing Trends

The next wave of marketing innovation isn’t about automation alone — it’s about emotion. Which shoe would you get? AI today can recognize tone, facial expressions, and even micro-emotions in voice and text. This emotional intelligence is turning marketing from mass communication into personal connection. 🧠 Data speaks for itself: + 80% of consumers say they’re more likely to purchase when brands show they understand their emotions. (Capgemini Research) + Emotionally connected customers have a 306% higher lifetime value than those who are merely satisfied. (Motista) + 70% of marketers using AI-driven personalization report double-digit engagement growth. (Salesforce) 💡 Real-world examples: + Coca-Cola uses AI-powered creative tools to adapt campaigns to local culture and sentiment in real time. + Netflix’s recommendation engine reads emotional cues in viewing behavior to tailor what feels just right for each user. + Adidas combines AI sentiment analysis with influencer content to sense trends before they peak — turning feelings into foresight. This isn’t marketing as usual — it’s marketing that feels. When technology understands emotion, brand experience becomes unforgettable. #AI #MarketingInnovation #EmotionalIntelligence #CustomerExperience #DigitalTransformation #MarTech #BrandStrategy

Why Brands Need to Partner With Women B2B Content Creators on LinkedIn B2B marketing has a trillion-dollar blind spot. While many brands are still stuck in the “Company Page” era, the fastest-growing companies are reallocating budgets to creators. More specifically: women B2B creators. The data is impossible to ignore. • The $34 trillion shift By 2030, women will control $34 trillion in U.S. investable assets. This is one of the largest transfers of financial power in history. ( McKinsey & Company) • The omnichannel reality B2B buyers now use 10+ channels during their purchasing journey. If your brand is not showing up in their feed through a trusted human voice, you are invisible. (McKinsey & Company) • The 62-touchpoint journey B2B buyers engage with roughly 62 touchpoints over six or more months. They are not looking for ads. They are looking for peers they trust. (Sprout Social, Inc. ) • The entrepreneurship boom Women founded 49% of all new businesses in 2024, representing 14.5 million companies and $3.3 trillion in revenue. (Gusto / Wells Fargo) This is why companies like HubSpot, Notion, Riverside, Zapier, Typeform, LinkedIn, Adobe , Canva , and Claude by Anthropic are winning. They are not just running ads. They are partnering with creators to build credibility that logos alone cannot buy. Women B2B Creators Brands Should Be Watching If you want to achieve your B2B marketing goals in 2026, these are voices worth following and partnering with: Caitlyn Kumi Maggie Sellers Reum Shelley Zalis Imani Ellis Emma Grede Avni Barman Morgan DeBaun Brianna Doe Jade Bonacolta Gabby Beckford ✈️ Tara Knight 🧩 Megan Lieu Nabihah Ahmad Qetsiyah Jacobson Lana Ivory 🦋 Jayde I. Powell Emma Ohanian Gigi Robinson ™ Lia Haberman Jean Kang Sophie Miller Allie K. Miller Codie A. Sanchez Valerie Chapman B2B marketing is no longer about who has the biggest ad budget. It is about who has the most trust. The female economy is not a niche. It is the engine of modern B2B growth. Who else belongs on this list? 👇 Tag a woman B2B creator who is consistently dropping value in your LinkedIn feed. Let's build the ultimate directory for brands looking to level up their B2B marketing in 2026. ♻️ Repost to support the women building the future of the B2B creator economy. #creatoreconomy #influencermarketing #b2bmarketing

AI for marketing: from hype to how I’ve witnessed firsthand how AI has transformed from a futuristic buzzword to an essential tool in our daily marketing efforts. Early on, AI seemed like an exciting possibility, but now, it’s a game-changer. 1. Personalization at Scale: A Dream Come True Personalization used to be a challenge. We tried to manually segment customers, but it was time-consuming and often inaccurate. Then we integrated AI tools like Segment and Dynamic Yield, which analyze customer data in real time, enabling us to deliver personalized experiences automatically. These tools track behavior, preferences, and interactions, helping us target the right customers with the right message, whether through email campaigns or product recommendations. Thanks to AI, we can now personalize at scale, delivering relevant content to each customer without the manual effort. The result? Increased engagement and higher conversions, all while saving time. 2. Content Overload, Solved The demand for fresh content was overwhelming, and keeping up while maintaining quality was difficult. Enter AI tools like Jasper and Copy.ai. These platforms use AI to generate blog posts, social media content, and email copy. They can create content drafts based on simple prompts, significantly speeding up the creation process. AI also helps us optimize content. Tools like Headline Analyzer and Convert.com assist with A/B testing, ensuring we’re using the best headlines, calls to action, and tone. This allows us to produce more content faster, without sacrificing quality, and improve its effectiveness over time. 3. Smarter Decisions with Predictive Analytics In the past, we’d react to past campaigns, but with AI-powered predictive analytics tools like HubSpot and Pardot, we now predict future customer behavior. These tools analyze past data to forecast which leads are likely to convert, enabling us to focus our efforts on the most promising opportunities. AI provides us with actionable insights that help us prioritize leads, tailor messaging, and increase conversions. It’s like having a roadmap for what’s coming next, allowing us to make smarter decisions and improve our marketing ROI. 4. Real-Time Customer Insights – No More Waiting Traditionally, gathering insights involved waiting for surveys or reports to come in. Now, with Google Analytics 4 and Crimson Hexagon, AI tracks customer behavior in real time, providing immediate feedback on how campaigns are performing. These tools help us monitor customer sentiment, identify trends, and adapt campaigns quickly. Real-time data allows us to be agile and responsive, adjusting our strategies as needed to meet customer expectations and improve satisfaction.

In 2025, the RevTech noise is deafening. Everyone’s pushing new tools and AI promises. But the real question for MOps pros isn’t what’s new—it’s what’s working? A few trends we’re watching closely: Integration is now table stakes. It’s not “can it connect?” anymore—it’s how seamlessly. If your tools need spreadsheets to bridge the gaps, that’s a liability, not a solution. AI is only as smart as your systems. Early wins are coming from AI-powered enrichment, deduplication, and lead routing—but they only work when your data is clean and structured. No amount of AI fixes a broken foundation. Ownership is shifting back to MOps. More teams are pulling RevTech admin responsibilities out of IT and sales ops and returning them to where they belong—inside the go-to-market motion. Metrics are finally evolving. Pipeline impact has replaced MQLs. Teams are tracking time-to-pipeline, stack ROI, and attribution confidence. If your stack can’t support these, it might be time to rethink the setup. These shifts aren’t about chasing trends. They’re about tightening alignment and building for scale. Let’s talk about it. Join the conversation inside the Marketing Ops Community. #RevOps #MarketingOps #Martech #GTM #RevenueTech #MOPro #TechStackStrategy

Revolut, Monzo, Square, Nubank. Different markets. Same signal: banking is going mobile-first worldwide. Search interest is rising across categories linked to digital banking. Not in one country. Not around one brand. Across multiple markets at once. I see 3 clear implications: 1. Distribution is changing Digital banks do not start with branches. They start with the phone. → account opening in minutes → cards, payments, savings, credit in one flow → lower friction at the point where users decide Legacy scale still matters. Mobile convenience now shapes first choice. 2. The product is becoming the channel Traditional banking built reach through physical presence. Digital banking builds reach through: → app experience → referrals → embedded journeys → daily use cases When the interface is strong, distribution compounds. This is why players like Revolut, Monzo, Square, and Nubank matter beyond their home markets. They show how product design can become a growth engine. 3. Expectations are moving faster than institutions Users now compare banking with the best mobile experiences they have anywhere. Not only with other banks. They expect: → speed → clarity → control → 24/7 access → fewer steps Here is where the shift becomes strategic: Mobile-first banking is not only a UX story. It is a capability story. To compete in the next phase, financial institutions need: → digital talent → stronger execution → compliance built into product design → teams who understand adoption, not only technology This is why digital banking matters far beyond consumer convenience. It changes how banks build. How regulators respond. How talent is trained. How ecosystems compete. Different logos. Different geographies. Same global direction: banking is moving closer to the user, the device, and the moment of need. How do you see mobile-first banking shaping the next phase of financial services?

Your marketing team doesn't notice your best automation tools because they're too busy getting results. I've been thinking a lot about the AI growth in marketing lately, and I've come to a counterintuitive conclusion: We won't lose marketing jobs to AI. We'll lose job descriptions. The roles we've carefully defined for decades are dissolving before our eyes. Look at what's happening: • Social media managers now use AI to generate entire content calendars • Copywriters collaborate with AI to produce variations at scale • Data analysts focus on strategy while AI handles the number-crunching • Campaign managers automate setup that once took days The job titles remain, but the daily work has transformed. The marketers thriving in this new landscape share 5 key traits: 1. They see AI as a collaborator, not a replacement 2. They focus on strategy while automating execution 3. They've mastered prompt engineering as a core skill 4. They validate AI outputs with human judgment 5. They spend more time on creative direction than production This is happening faster than most realize. I met a CMO last week who cut her content production time by 70%. Not by hiring more people, but by redefining how her existing team works with AI. She told me: "We don't do less marketing. We do different marketing." The skills that matter now aren't just technical expertise. They're judgment, creativity, strategy, and relationship-building. AI can write your email sequence. It can't understand your customer's unspoken needs. The question isn't whether your marketing job will exist in 5 years. It's whether YOU can evolve beyond your current job description. Are you ready to let go of how marketing "should" work? #MarketingEvolution #AIStrategy #FutureOfWork #MarketingAutomation

February isn't just about celebrating Black History Month; it's a powerful chance to recognize the untapped potential within diverse sales teams. Research shows gender-diverse teams outperform their counterparts by up to 19%, and the same principle applies to racial diversity. As champions of inclusive sales and fostering female sales excellence, we know you strive to build high-performing teams. But are we truly leveraging the unique strengths and perspectives of ALL our sellers, especially during this month honoring Black excellence? Challenge Accepted: Traditional sales cultures often overlook the immense value diverse individuals bring, including Black professionals. This not only hinders employee well-being but also limits your bottom line. The Opportunity Is Now: Unleash significant growth by fostering a truly inclusive environment and empowering all your sales professionals, regardless of background. This Black History Month, commit to: Celebrating Black Sales Leaders: ✅ Share the stories of successful Black sales leaders and innovators with your team. Invite guest speakers or host panel discussions. ✅ Highlight their achievements and contributions to the industry. You can even dedicate a blog post or social media series to them. Dismantling Barriers: ✅ Conduct unconscious bias training for your entire team. Open conversations about implicit biases and their impact. ✅ Create safe spaces for open dialogue where team members can share their experiences and perspectives. Building an Inclusive Environment: ✅ Implement mentorship programs connecting Black professionals with experienced leaders. ✅ Establish employee resource groups to foster a sense of belonging and community. ✅ Review your hiring and promotion practices to ensure fairness and equal opportunities for all. Investing in Diverse Leadership: ✅ Provide diverse leadership development programs to equip Black professionals with the skills and knowledge they need to succeed. ✅ Offer equal opportunities for advancement based on merit and performance, not background. By acknowledging the value of diversity and taking concrete steps to create a more inclusive environment, we can unlock the full potential of our sales teams and drive true business growth. Remember, diversity isn't just the right thing to do; it's the smart thing to do. Let's celebrate Black History Month and beyond by building sales teams that truly reflect the richness of our world. Share your thoughts and actions in the comments below! #DiversityInSales #BlackHistoryMonth #SalesLeadership

When everyone in the room sees the world the same way, you miss the signals your audience won’t ignore. I’ve seen it too many times in my career. Campaigns get signed off in boardrooms where everyone nods because they share the same background, the same perspective, the same blind spots. The campaign goes live. The visuals, the message, the references all feel “right” inside the room. But outside that room, customers don’t see themselves in it. They scroll past, or worse, they switch off entirely. That’s the danger of sameness. You can’t spot what you’ve never been trained to see. Diversity isn’t a nice-to-have, it’s a competitive advantage. It’s how you pick up the signals others miss. It’s how you test assumptions before they cost you millions. It’s how you build campaigns that resonate beyond the bubble of your team. If your marketing team all looks, thinks, and decides the same way, you’re limiting creativity, and putting growth at risk. This is why audits matter. They force you to ask: whose voices are missing? Which assumptions have gone unchallenged? What perspectives could change the outcome? Your audience is already diverse. Your marketing should be too. 📸: a photo of me passionately explaining why diversity in creative teams is an underrated competitive advantage ✨

After 19 years building marketing automation, I can finally see what replaces it: AI systems that reason, not just execute rules. That's why the entire martech stack is about to be rebuilt. Legacy marketing automation platforms remain what they've always been: rules engines wearing a user interface. Those rules are brittle. They can't learn from outcomes. They break when market conditions shift. They require expert-level knowledge and constant maintenance. And they can't handle the ambiguity that defines real buyer behavior. Consider data management. Simple capitalization logic turns MCCOY into Mccoy (instead of McCoy). "Director of Operations" could mean IT Ops, RevOps, or Business Ops? In L2A, a consultant using personal email can't match to their Fortune 500 client. Rules can't handle that ambiguity. THE REASONING BREAKTHROUGH GPT-5 shows 80% fewer hallucinations with Ph.D.-level performance. Claude Sonnet 4.5 runs autonomously for 30+ hours on complex tasks, up from 7 hours four months earlier. DeepSeek R1 achieves comparable performance while being open source. These models reason through problems, understand context, test hypotheses. And the pace of improvement shows no signs of slowing. Applying this to marketing automation, reasoning models can recognize patterns across similar situations without explicit rules, infer relationships from available data, and handle ambiguity by considering multiple signals simultaneously. Journey orchestration becomes adaptive. Today we build flowcharts: if industry = SaaS AND role = VP, send email series A. Reasoning AI orchestrates personalized lists of actions based on actual behavior patterns — understanding when someone is researching versus ready to buy without programmed triggers. Personalization becomes dynamic. Current systems require paths for every persona, stage, industry, personality. Reasoning models determine relevance contextually based on each individual’s history, context, and behavioral patterns. WHAT THIS MEANS FOR MOPS Marketing ops teams won't disappear. But their role will shift from configuring rules-based MAPs to providing context: setting business goals, defining success metrics, establishing guardrails. They'll build data pipelines that give AI access to engagement data, intent signals, product usage, CRM data. The technical work changes. The strategic value increases. After helping build Marketo and watching marketing automation define the last era of martech, I'm seeing the next one take shape. What parts of your rules-based MAP could benefit from reasoning AI? Let me know in the comments, and if you found this useful, please comment or reshare! ♻️ #MarketingAutomation

I saw a Reddit thread the other day: "Major purchases must happen on a computer." The comments? A chorus of agreement. People weren't saying this because they just simply adore desktops. They said it because mobile experiences often feel... incomplete. Missing specs, omitted information, clunky forms, pop-ups taking over the screen, endless pinch-and-zoom. You're asking your best prospects to come back later on desktop. Unfortunately for you, many never do. I don't believe this is just "a millennial thing," but a symptom of bad mobile experience. And luckily, that's a fixable problem. Now, here's the kicker 👉 Over 62% of global traffic comes from mobile, but mobile conversion rates are still lower than desktop. Solution? ▪️ Design mobile-first, not mobile-second. ▪️ Give the same information and clarity as desktop. ▪️ Simplify forms and navigation. ▪️ Make it fast, tap-friendly, and trustworthy. Big purchases can and should happen on mobile, and we need to start treating mobile users like the primary audience they already are.