Martech Trends Impacting Brand Communication

I’ve seen more disruption in the past three years than in the last two decades, and it’s become clear to me that the old marketing playbook isn’t built for the speed or complexity of today’s world. The reality is that old-world linear campaigns, quarterly insights, and static segmentation miss the fluidity of today’s consumers. Culture moves faster. Algorithms move faster. Meanwhile, brands are still trying to steer with rearview mirrors. Paradoxically what used to guide us now holds us back. Marketing intelligence isn’t scarce, it’s abundant, accessible to anyone, anytime, often at zero cost. This isn’t a trend. It’s a fundamental reset that forces organizations to break with the past and chart a new path, new models, and new ways of working. The path forward demands more than tweaks; it requires a mindset shift: · Corporations need to move from playing it safe to experimenting at speed and scale. · Move from passive to highly participatory engagement. · From one-size-fits-all to personalized targeting. · Risk avoidance to opportunity creation. · Control to co-creation. Brands must stop dictating and start inviting. · Centralized command and control to empowered edge teams To bring my point to life, here are a few examples of emerging technologies and methodologies that are reshaping how brands engage with consumers and strive to create a new marketing playbook focused on fast, high-impact performance. · AI persona targeting - live, behavioral personas built from real-time data allowing for sharper targeting. Higher relevance. Better conversion. · Generative campaign creation - AI co-builds campaign assets across formats allowing marketers to test dozens of creative alternatives. Scale what sticks. Creative at speed. · AI packaging eye tracking. Real-world visibility into what grabs attention and why. To me this is a real game changer given that your shelf presence is on an iPhone. Used intelligently, this can collapse sequential testing and significantly reduce speed to market. · In Context social ad testing. Test creative in-platform. Capture implicit signals. Measure what people actually do, not what they say. Real behavior. · AI-Powered live equity tracking. Brand health as a live data stream, not a post-mortem as we did for decades. This turns early detection into early market advantage. The pace of change is relentless. And it is just accelerating. In my view, the future growth belongs to those courageous leaders willing to let go of what was, lean into what could be, and shape what comes next.

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

I’ve been working with some of the world’s biggest brands on their AI transformations. Here’s the biggest mistake everyone is making 👇 It’s not the models. It’s not hallucinations. It’s not the prompts. It’s the brand. As AI adoption accelerates, I keep seeing the same pattern: Every tool needs brand grounding. Every agency uploads their own version. Every team creates their own rules. Before long, there isn’t one brand. There are dozens of fragmented versions of it. And the brand doesn’t control any of them, nor is it learning and being feed real time data to do what AI can do best. Learn! This creates serious problems: Loss of control: Sensitive brand positioning and IP are scattered across third-party tools. Loss of consistency: What’s approved in one workflow is wrong in another. Updating becomes impossible. Loss of ownership: Whoever owns the brand data owns the power. And too often, that’s the agency or the platform—not the brand. Here’s the deeper issue most teams miss: In an agentic world, brand isn’t static. It should learn. Campaign wins and losses should continuously feed back into the system. That only works if there is a single source of brand truth. If there isn’t, the brand belongs to whoever configured the tool. This should worry every CMO. Because brand is no longer a PDF. In the agentic world it’s an agent. That’s why the next critical layer in the #martech stack is the Brand Agent. A Brand Agent is a centralized, owned agent that serves as the single source of truth for brand voice, guardrails, do’s and don’ts, and campaign learnings. Every other agent—creative, media, CRM, commerce—references it for grounding. No duplication. No drift. No agency-owned brand logic. The implementation will vary. The principle won’t. Own the Brand Agent. Govern it. Feed it real-time learning. Let everything else integrate to you. That’s how brands scale AI without losing themselves. How are you thinking about brand governance in an agent-first world?

For a long time, MarTech kept solving the same problem by adding more tools. More dashboards, more features, more “connect everything to everything”. Somewhere along the way, stacks became heavier not smarter. Most brands don’t actually have a loyalty or retention problem. They have an attention problem. Customers don’t leave because your product suddenly became bad. They leave because your brand slowly fades out of their daily life. No friction, no drama...Just… absence. What’s coming next in MarTech isn’t another wave of shiny features. It’s a shift in how systems are built. Less campaign thinking, more "always-on" systems that react to people, not calendars. Less rigid segmentation, more fluid understanding of where someone is, right now. AI is going to accelerate this, but not in the way most decks describe it. It won’t magically make marketing better. But it will make bad marketing very obvious. If your strategy is noise, AI gives you more noise. If your strategy is relevance, AI finally makes that scalable. Loyalty is also about to be redefined. Not as points or tiers, but as a byproduct of being useful, showing up at the right time and not wasting people’s attention. The best brands in the next few years won’t feel like they’re “doing marketing”. They’ll feel present, familiar. Almost natural in a customer’s life.

The pressure is increasing on channel marketing to deliver at a new level of scale, complexity, and personalization, and to figure out the people, processes, programs and underlying technology that will drive competitive advantage in the AI era. Gone are the days where you could kick out some MDF dollars, co-sponsor a few customer events, slap your partner's logo on a brochure, and call it a day. With the emergence of a new digital-first (or digital-only) buyer, a platform economy which favors numerous (concurrent) partnerships surrounding this buyer, the end of the cookie resulting in less powerful martech/adtech tools, and a marketing journey that doesn't end at the SQL hand-off, we are at a major inflection point. The responsibility of recognizing early buyer intent signals is moving from growth hackers in the marketing department to channel marketers. Without access to third-party data, companies must now ramp up their second- and first-party data strategies which includes: 1. Having more partners, especially co-selling and co-marketing partners (affiliates, affinity, advocates, ambassadors, influencers), executing their social, search, email, and syndicated content strategies on a vendor-owned platform. Through-channel marketing (TCMA) is having its moment in the sun as the need for buyer intent data can be shared among partners, vendors, distributors, and digital marketplaces - and doesn't require purchasing from Google or Facebook. 2. More emphasis on data sharing throughout the customer journey. Mapping tools (think Crossbeam or PartnerTap) are the next layer of the stack that will create partnering moments when two (or more) companies are sharing important customer moments from their CRM and marketing automation platforms. Attribution tools (think impact.com or Partnerize) also layer in here as the clicks, likes, and other engagement tell an important story about the 28 moments on average a customer spends in their considered purchase. Attribution is quickly moving from B2C to B2B as buying behaviors merge between consumer and business. 3. Rethinking program elements such as deal registration, opportunity management, and lead passing. These resell-oriented processes (which require human workflows) will become more powerful as AI copilots and agents autonomously leverage these tools to the benefit of the partner (protection in deals, visibility, and profitability coming from extra margins or points). 4. Leveraging ecosystem orchestration tools (such as WorkSpan, PartnerStack, or TIDWIT) to map the 7 partners surrounding a deal and the 7 layers of the tech stack that will drive the customer outcome. Also leverage orchestration players such as traditional distribution, cloud distribution, telco TSDs, managed services platforms, and perhaps most importantly, digital marketplaces to get visibility to second-party data. Channel marketers can't underestimate the power of AI in this new era.

Personalization was once the crown jewel of MarTech—revolutionary, precise, and undeniably impactful. Today, I’m not so sure. I think, the overuse of personalization is starting to dilute its value. When every touchpoint screams “tailored,” it risks losing authenticity. Worse, it can feel intrusive. The endless chase to customize every interaction often neglects what truly matters—context and relevance. I believe MarTech needs a recalibration. Personalization works best when paired with restraint. Instead of overwhelming customers with hyper-targeted campaigns, the focus should shift to intent-driven personalization. #AI and #ML models can predict needs without relying on excessive data collection, creating experiences that feel seamless, not staged. One example I’ve seen that works? Leveraging dynamic content to adjust messaging based on user behavior in real-time, without trying to know everything about them. This strikes the right balance between relevance and respect. #MarTech leaders must rethink how personalization is deployed. It’s not about knowing every detail of your audience’s life—it’s about using #technology to deliver value where it counts most. #Personalization isn’t going anywhere, but it’s time to approach it differently. What’s your perspective on this? #blueoshan #hubspot #crm

The next era of marketing isn’t driven by automation — it’s driven by emotion. Which shoe would you get? 👟 AI can now interpret tone, facial expressions, and even the subtle emotions hidden in voice or text. This new level of emotional intelligence is shifting marketing from broadcasting messages to building real human connections. 🧠 The numbers tell the story: - 80% of consumers are more likely to buy when brands show they understand their emotions. (Capgemini Research) - Emotionally connected customers deliver 306% higher lifetime value than those who are simply satisfied. (Motista) - 70% of marketers using AI-powered personalization see double-digit gains in engagement. (Salesforce) 💡 How leading brands are feeling the change: - Coca-Cola uses AI to tailor campaigns to local moods and cultural moments — in real time. - Netflix fine-tunes recommendations using emotional cues from viewing habits to make every suggestion feel “just right.” - Adidas blends AI sentiment analysis with influencer insights to catch cultural waves before they crest. This is more than marketing — it’s storytelling with empathy. When technology learns to understand emotion, brands stop selling and start connecting. #AI #MarketingInnovation #EmotionalIntelligence #CustomerExperience #DigitalTransformation #MarTech #BrandStrategy #AIMarketing #Personalization

🔄 AdTech + MarTech: racing toward parity by 2030? Most of us in the trenches realize that the line between AdTech tech and MarTech is dissolving fast. Looking at market size, the two disciplines could be close to parity by 2030 based on current trends. Let's review... 📊 Today (estimated) - AdTech revenue: $720 B - MarTech revenue: $465 B --------------- - Gap: $255 B (AdTech ≈ 1.55× bigger)  🚀 By 2030 (projected) - AdTech: $1.58 T - MarTech: $1.38 T --------------- - Gap: $202 B (AdTech ≈ 1.15× bigger)  Why the quick catch-up? 1. Signal loss is pushing budgets from cookie-powered media to first-party data activation using CRM/CDW (MarTech) signals. 2. Retail & commerce media are starting to embed DSP-like buying directly inside CX platforms, blurring categories. 3. Gen-AI cost deflation enables marketers to build creative & journeys in MarTech that connect to paid media for activation—reducing AdTech dependence. 4. Privacy legislation favors consented data and owned channels over broad-reach ad networks. Implication: By the end of the decade, “AdTech vs. MarTech” will probably feel like a false dichotomy. In other words, brands, agencies, platforms, and investors should plan for an integrated experience stack where identity, content, activation, and measurement flow across paid and owned touchpoints—with AI acting as the connective decisioning tissue. If your 2025 roadmap still treats these worlds separately, it's high time to redraw the org chart. Parity is coming—and convergence rewards the teams that build bridges first. 🛠️✨

After speaking to 600+ marketers, CMOs, and Ecommerce leaders, the biggest insight that SHOCKED me is this. Over 25% of marketers are STILL WILLING to allocate over 50% of their budgets to paid ads to acquire customers, even with dwindling ROAS and unprofitable spends. Everyone knows that Ecommerce marketers are struggling with the rising CAC. The status quo is going against their desire to earn profits, yet they continue to pump more money to acquire customers. This model will run you out of business in the long run. And the truth is most marketers don’t know what to do to increase their profits. There are 3 options to do something about it. 1. Somehow rebrand your product/company and target another set of broad audience (HARD) 2. Dominate the retail landscape with an aggressive, lightning-fast approach. (HARD) 3. Focus on your best customers. Use a combination of the best marketing tech out there that can take all the customer data you’ve gathered and tell you the best-performing ones, least-performing ones, and what communication channels they use so you can reach out and get them back to your store. (PRACTICAL & EASY) When you have a marketing tech-stack with capabilities like email marketing, cross-channel communication like WhatsApp, SMS, push notifications and more, and UNITE that capability with understanding your customer behavior,  the dynamics of your marketing trajectory change. Let’s take a simple example. 70% of shoppers today abandon their carts while shopping. With a MarTech stack, you can setup campaigns to send reminders on multiple channels (e.g., email and WhatsApp) to complete the transaction. Even if 10% of these customers complete the transaction, think about how much that will boost your business’s bottom line. Bonus: They can complete the transaction inside the channel—no redirecting. Today, every channel is shoppable. That’s way better than spending on ads to acquire the same customers again. REACTIVATE them instead of REACQUIRING them. Result? - More profits - Higher growth with the same CAC - Business growth - More revenue TAKEAWAY 🔸 No ad platform can help you boost your revenue today. The focus has shifted. Rising CAC will affect your business operations & quest for profitability if you don’t control your spending. 🔸 Marketers need to invest in marketing tools that understand their business goals to improve profits, growth, and revenue. 🔸 Paid channels will get outshined by other marketing channels. Today, channels like email, SMS, WhatsApp, web messages will eventually start delivering higher ROI than paid ads. Don’t sleep on the importance of having an all-around MarTech tool. It's become the table stakes already.

Publicis Groupe's latest earnings are a fascinating case study in the current state of advertising. They've practically written the playbook on the ad tech-driven model, and their +5.9% Q2 organic growth proves it. Their "Connected Media" engine, powered by Epsilon, is a powerhouse in the market. No question, they are a dominant force at the top of the funnel. But the report also reveals the industry’s next massive challenge. Their tech consulting arm, Publicis Sapient, is stumbling, with leadership bracing for a negative performance for the full year. Why? Because the monolithic, one-size-fits-all IT project is dying, feeling the pressure from delayed client capex spend. It’s being replaced by something faster, smarter, and more agile. The future isn't another giant, all in one platform. It's composable marketing technology. Brands are now hand picking best in class tools for every job—like Braze for engagement, Databricks for data, OfferFit for decisioning, etc.—and "stitching" them together. This demands a new breed of partner, one that complements the ad tech prowess. This is the entire thesis behind Stitch. We believe the next wave of value creation lies in being hyper specialized experts who can maximize the ROI of this new composable world. While the giants own the ad tech that acquires the customer, the real, sustainable growth comes from the martech/CRM that retains and monetizes that customer. The playbook for the next decade in professional services will be built on: - Hyper specialization in the critical, revenue driving nodes of the new martech stack. - Deep expertise in making these disparate, best in class tools work in concert to create a seamless customer journey. The last decade was about optimizing ad spend. The next multi billion dollar prize will go to those who can make the composable martech stack sing. That’s the future we're building.