How AI Boosts Marketing Creativity and Performance

How I Actually Use AI (Every Day) to Run a Marketing Agency Everyone’s talking about “AI revolutionizing marketing”… But here’s what that actually looks like in practice inside my agency. I’m not building robots or coding custom GPTs. I’m using AI as a force multiplier - to help my team think faster, execute cleaner, and make better decisions. Here’s how we’re using it day to day: 💡 Creative direction: We use AI to brainstorm ad angles, headlines, and visual directions... not to replace our creative team, but to give them a running start. It’s like having a junior strategist who never sleeps. 📊 Data analysis: When we’re reviewing performance reports, AI helps us summarize insights and spot patterns across campaigns faster than any spreadsheet filter ever could. ✍️ Content and messaging: AI drafts the first 70% of a post, email, or ad. Humans do the final 30% that makes it actually sound like us. It’s faster, cheaper, and still personal. 🧠 Strategy support: I’ll often drop a client’s brief into ChatGPT and say: “Pretend you’re a strategist at a B2B agency - what would you test first?” Sometimes I agree, sometimes I don’t ...but it helps me challenge my own thinking. 👥 Internal ops: We use AI to help summarize meeting transcripts, generate ClickUp task descriptions, and even write SOPs. It keeps the machine moving without adding headcount. None of this is about replacing people. It’s about augmenting them and giving our best minds better tools. If you run a team or an agency and you’re not experimenting with this stuff yet, you’re leaving efficiency and creativity on the table.

As someone leading marketing and growth for tech driven businesses, AI isn't just a buzzword... it’s become an essential part of my workflow. From planning performance campaigns to streamlining content creation, AI tools have drastically improved my speed, accuracy, and creativity. Here’s how I’m currently using AI across my daily routine 𝗖𝗮𝗺𝗽𝗮𝗶𝗴𝗻 𝗣𝗹𝗮𝗻𝗻𝗶𝗻𝗴 & 𝗠𝗮𝗿𝗸𝗲𝘁 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 Tools like ChatGPT and Perplexity AI help me summarize market reports, extract insights from competitor ads, and validate campaign ideas. 𝘐𝘵’𝘴 𝘭𝘪𝘬𝘦 𝘩𝘢𝘷𝘪𝘯𝘨 𝘢 24𝘹7 𝘢𝘴𝘴𝘪𝘴𝘵𝘢𝘯𝘵 𝘧𝘰𝘳 𝘴𝘵𝘳𝘢𝘵𝘦𝘨𝘺 𝘴𝘶𝘱𝘱𝘰𝘳𝘵. 𝗖𝗼𝗻𝘁𝗲𝗻𝘁 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 𝘄𝗶𝘁𝗵 𝗣𝘂𝗿𝗽𝗼𝘀𝗲 For ad copy, email subject lines, and landing page variants, I often start with AI-generated drafts (using ChatGPT + Jasper). 𝘉𝘶𝘵 𝘐 𝘴𝘵𝘪𝘭𝘭 𝘣𝘦𝘭𝘪𝘦𝘷𝘦: 𝘈𝘐 𝘢𝘴𝘴𝘪𝘴𝘵𝘴, 𝘯𝘰𝘵 𝘳𝘦𝘱𝘭𝘢𝘤𝘦𝘴. 𝘛𝘩𝘦 𝘧𝘪𝘯𝘢𝘭 𝘷𝘰𝘪𝘤𝘦 𝘢𝘭𝘸𝘢𝘺𝘴 𝘢𝘭𝘪𝘨𝘯𝘴 𝘸𝘪𝘵𝘩 𝘣𝘳𝘢𝘯𝘥 𝘵𝘰𝘯𝘦 𝘢𝘯𝘥 𝘩𝘶𝘮𝘢𝘯 𝘪𝘯𝘴𝘪𝘨𝘩𝘵. 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 & 𝗔𝗱 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻 We use Looker Studio + AI driven analytics to analyze campaign performance across Meta, Google & LinkedIn. 𝘛𝘩𝘪𝘴 𝘩𝘦𝘭𝘱𝘴 𝘶𝘴 𝘱𝘳𝘰𝘢𝘤𝘵𝘪𝘷𝘦𝘭𝘺 𝘵𝘸𝘦𝘢𝘬 𝘢𝘥 𝘴𝘱𝘦𝘯𝘥𝘴 𝘣𝘢𝘴𝘦𝘥 𝘰𝘯 𝘙𝘖𝘈𝘚 𝘢𝘯𝘥 𝘈/𝘉 𝘵𝘦𝘴𝘵 𝘳𝘦𝘴𝘶𝘭𝘵𝘴. 𝗦𝗘𝗢 & 𝗔𝗦𝗢 𝗘𝗻𝗵𝗮𝗻𝗰𝗲𝗺𝗲𝗻𝘁 Tools like SurferSEO and Writesonic help refine keyword strategies and generate optimized blog structures, improving search rankings across web and app stores. 𝗦𝗼𝗰𝗶𝗮𝗹 𝗟𝗶𝘀𝘁𝗲𝗻𝗶𝗻𝗴 & 𝗘𝗻𝗴𝗮𝗴𝗲𝗺𝗲𝗻𝘁 With AI-powered tools like Sprout Social, Inc. and Brandwatch, we monitor sentiment, spot trends early, and automate responses to FAQs, especially during high-traffic campaigns. 𝘈𝘤𝘤𝘰𝘳𝘥𝘪𝘯𝘨 𝘵𝘰 McKinsey & Company’𝘴 𝘭𝘢𝘵𝘦𝘴𝘵 𝘳𝘦𝘱𝘰𝘳𝘵, 𝘮𝘢𝘳𝘬𝘦𝘵𝘪𝘯𝘨 𝘪𝘴 𝘢𝘮𝘰𝘯𝘨 𝘵𝘩𝘦 𝘵𝘰𝘱 3 𝘣𝘶𝘴𝘪𝘯𝘦𝘴𝘴 𝘧𝘶𝘯𝘤𝘵𝘪𝘰𝘯𝘴 𝘴𝘦𝘦𝘪𝘯𝘨 𝘵𝘩𝘦 𝘩𝘪𝘨𝘩𝘦𝘴𝘵 𝘷𝘢𝘭𝘶𝘦 𝘧𝘳𝘰𝘮 𝘈𝘐 𝘪𝘯𝘵𝘦𝘨𝘳𝘢𝘵𝘪𝘰𝘯. Source: https://lnkd.in/gj8fXwqP AI won’t replace marketers... but marketers who use AI will outperform those who don’t. If you’re not yet using AI to support your workflow, start small. 𝘌𝘹𝘱𝘦𝘳𝘪𝘮𝘦𝘯𝘵. 𝘓𝘦𝘢𝘳𝘯. 𝘐𝘵𝘦𝘳𝘢𝘵𝘦. #MarketingStrategy #PerformanceMarketing #DigitalMarketing #AIAutomation #Leadership #MarTech #FutureOfWork 

Brand marketers think digital folks don’t “get creativity.” MarTech folks think performance marketers don’t understand “real tech.” Brand vs Tech vs Performance? In the future, there’s only one team: Revenue. The lines are already blurring, and soon, they’ll vanish. Here's how: 1. AI won’t just optimise campaigns — it’ll create them. From visuals to landing pages, we’re moving toward AI-assisted everything. 90% of enterprise marketing teams will use generative AI for content creation by 2026. (Gartner, 2023) 2. Marketing teams will operate like product squads. Think agile pods - growth + design + tech + analytics under one roof. Top-performing teams adopt cross-functional squads to reduce silos and improve GTM velocity. (McKinsey, 2023) 3. Your media plan will be written in prompts. The best marketers won’t just manage platforms, they’ll command them. Prompt engineering is now a core skill in creative and media teams at forward-looking brands. (Adweek AI Trends Report, 2024) 4. Attribution, CAC, LTV will shift from dashboards to decision engines. With AI + first-party data + automation, marketing will become self-optimising. AI-led orchestration can drive 20–30% uplift in media ROI when built into full-funnel planning. (BCG, 2023) 5. CMOs won’t just own creative, they’ll co-own the tech stack. The marketer of the future? Part technologist, part storyteller, part systems thinker. We’re not moving toward a “hybrid marketer.” We’re building full-stack marketing operators, with AI as the new layer.

With AI coming in, creativity should not shrink. It should grow. For years, marketing teams blamed execution limits for average output. Not enough time. Not enough bandwidth. Not enough resources. AI just removed most of those excuses. Today, a single marketer can generate multiple hooks, angles, scripts, variations, thumbnails, copies, and iterations in a fraction of the time it earlier took to make one. Distribution has become faster. Testing has become cheaper. Speed has become the default. Which means the real differentiator now is not production. It is thinking. The brands that will win are not the ones using AI to create more content. They are the ones using AI to explore better ideas. Better storytelling. Better customer psychology. Better positioning. In performance marketing especially, AI is not replacing creativity. It is exposing how shallow some creative thinking actually was. Tools will keep getting better. What will matter is the depth of insight behind every brief. If you are a marketer today, your job is no longer just to execute fast. Your job is to think clearly in a world where execution is now easy. How are you using AI in your creative process right now?

AI Won't Take Your Job. A Marketer Using AI Will. The debate over whether AI will replace marketers is officially over. The real conversation, the one that will define the next decade of our industry, is about augmentation. I believe we've entered the era of the "co-pilot," where AI doesn’t just execute tasks but elevates human strategy and creativity to a level we've only ever imagined. This isn't just theory; we're seeing it happen in real-time. Our teams are using models like Gemini not simply to write ad copy, but to act as a strategic sparring partner, brainstorming entire campaign frameworks from a single brief. What once took weeks of manual data analysis—like identifying the highest-value customer cohorts across three different markets—can now be done in minutes with a simple, conversational prompt. This frees up our people to focus on what they do best: understanding nuance, building relationships, and making bold creative leaps. My bet is this: the winners won't be the ones who simply adopt AI tools, but those who fundamentally redesign their workflows and culture around them. The marketers of the future are those who see AI not as an assistant, but as a core partner in creation and strategy. They are already rebuilding their operating models to place this partnership at the center. The message is clear: the sooner we start architecting this new way of working, the greater our advantage will be. The future doesn't just belong to marketers who use AI; it belongs to those who build with it. How are you preparing your teams to shift from executing tasks to directing AI-powered strategy? Andy Berndt #Google #GoogleAI #AI #MarketingStrategy

AI doesn’t replace marketers. It replaces marketing waste. Most teams are chasing AI productivity. Few are designing AI performance systems. Step 1: Map workflows, not tasks. When Coca-Cola implemented AI for creative concepting, they cut campaign cycles by 60% — but only after mapping human + machine collaboration. Step 2: Automate low-value approvals. HubSpot’s AI content ops reduced review times by 70% and freed 40% of creative bandwidth for strategy. Step 3: Use predictive insights to guide spend. Airbnb linked AI forecasting to paid media planning — boosting ROAS by 28% with fewer human inputs. Step 4: Upskill teams to manage the machine. Salesforce retrained 10,000 employees in prompt engineering to turn AI from tool into teammate. I’ve seen it firsthand — AI doesn’t scale output by working faster, but by working smarter with people. How are you using AI to multiply—not just automate—your team’s marketing performance? #AIMarketing #DigitalTransformation #Growth

Machine learning isn't killing creativity in advertising. It's actually giving marketers more time to be creative through smarter targeting. We are no longer focusing on whiteboard personas based on gut feelings: "He's 35, lives in New York." These intuition-based profiles weren't backed by data. Now, AI creates powerful feedback loops. Input your creatives, collect purchase data, and let platforms like Polar Analytics 🐻❄️ train your targeting models automatically. The most successful advertisers now go broad and let the algorithms determine the ideal audience while they focus on what matters: → Writing compelling copy → Building better products → Creating standout visuals  → Refining feedback loops This works at scale. Our customers doing 8-9 figures might simply specify "jewelry for women 18+" and let machine learning handle the rest—freeing them to invest in the creative work that drives results.

AI isn’t replacing marketers. It’s reminding us what creativity actually is. Every week I see another post about “AI taking jobs.” The people saying that usually aren’t the ones actually using it. The leaders who do use AI already know the truth. It isn’t replacing anyone. It’s changing what our time is worth. I use AI every day as a second brain, a thought partner, and a creative amplifier. It drafts, organizes, brainstorms, and never gets tired. But it doesn’t feel a story. It doesn’t understand timing, taste, or emotion. That’s still human territory. At Averi, that’s what we’re building for. Not another copy tool that spits out content, but a full marketing system that pairs marketing-trained AI with real experts who guide, edit, and execute. Humans and AI working side by side, each doing what they do best. AI handles the repetitive, mechanical work: briefs, outlines, formatting, revisions. Humans handle the judgment, storytelling, and strategic thinking. Together, they produce better ideas, faster. This is where the future of marketing is heading. Creative teams with more bandwidth, more precision, and less burnout. The smartest leaders aren’t hiding their use of AI anymore. They’re open about it. They share how it fits into their day, where it helps, and where it doesn’t. That transparency builds trust. It signals confidence, not fear. So here’s the reality. AI isn’t coming for your job. But someone who knows how to work with it probably is. At Averi, we’re building for that person. The marketer who wants their time back. The creative who wants to think bigger. The leader who knows that the future isn’t AI versus human. It’s AI and human, building something better together.

AI in Customer Marketing: Game-Changer or Growing Pain? 🤔 Customer marketing has always been a balancing act—strategy and execution, human connection and scale, data-driven insights and storytelling. Enter AI in 2025, and suddenly, the stakes are higher than ever. AI isn’t just another tool—it’s rewriting the rules of the game. How do we use AI to elevate our programs without losing the human touch that makes customer marketing so impactful? Here’s how AI is changing the game: 🧠 Hyper-Personalization at Scale AI enables one-to-one experiences on a massive scale, analyzing customer behaviors and preferences to tailor engagement. The question: How do we ensure these automated interactions feel authentic? 📣 Real-Time Voice of the Customer (VoC) Analysis Is there a need to do quarterly surveys when AI can help analyze feedback in real time, spotting trends and issues before they escalate. But are we using these insights to drive meaningful change—or just collect more data? How many power bi dashboards have you bookmarked but never looked after the first time? 🫠 📈 Smarter Advocacy Programs AI can help predict which customers are ready to be advocates and when. Imagine knowing exactly when a customer is primed for a testimonial or advisory role. The challenge? Advocacy thrives on trust, something AI alone can’t build. ✍️ Content Creation Gets a Boost AI tools can draft emails, posts, and even strategies faster than ever. While this is a win for efficiency, customer stories require creativity and authenticity—qualities that can’t be fully automated to some degree. 🔍 Data-Driven Decision Making AI connects marketing programs to measurable outcomes like retention and revenue. But with so much data available, are we prioritizing the insights that matter—or drowning in the noise? The Big Picture 🌐 AI is pushing customer marketing to new heights—scaling faster, personalizing better, and proving impact more clearly. But it also raises critical questions about preserving the heart of what we do: building relationships with customers (ie. relationship marketing 101). Ultimately, the truly believe the future lies in balancing technology with humanity. AI can enhance our work, but empathy, creativity, and connection must remain at the center. How is AI shaping your role as a customer marketer? Is it helping you—or creating new challenges? Share your experience in the comments. #customermarketing #AI #customerengagement #voc #cx #saasmarketing #relationshipmarketing #customeradvocacy