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For any AI-driven initiative to succeed, employees must be ready to work with new tools, adapt to fresh methods and embrace different ways of thinking. It’s easy to get swept up in flashy martech, but what really drives lasting success is building a team that can evolve alongside these tools. For CMOs, this is a call to action.
A martech center of excellence (COE) bridges strategy and execution, turning marketing ideas into powerful customer experiences. Central to this is the execution team — a skilled group that includes UX designers, web experts, email marketers, social media strategists, CRM managers, campaign analysts and operational strategists.
Eighteen months after GPT-4 shook the martech world, the dust is settling and it’s time to evaluate the real-world impact of generative AI. As brands and vendors navigate integrating genAI into their marketing stacks, one key question emerges: What’s actually working and where should the focus be? Scalability.
In this edition: The Most Important Lessons I Learned from a Martech AI CMO What 10,000+ Linkedin Votes Tell Us About The State of Marketing Ops Today POLL: Which Area of Revenue Operations Drives the Most Impact on Revenue? We talked about AI, Martech, and what it really takes to be a great B2B marketer today.
I’ve partnered with Mike Rizzo and the team at Marketing Ops Community to bring you a live workshop that’s unlike anything out there. You’ll learn exactly how to build, lead, and scale a marketing ops function from scratch—drawing from real-world lessons I’ve learned leading teams and solving complex problems.
When money flows freely, its easy to spend your way around problems by: Hiding inefficient processes behind expensive martech tools. Running scattershot campaigns instead of focusing on what truly works. The martech stack bloated with overlapping tools nobody uses? The martech stack bloated with overlapping tools nobody uses?
The language model is based on content from MarTech embedded on top of ChatGPT. The editors of MarTech selected this response for its usefulness and have supplemented it with additional relevant content. I am trained with MarTechcontent. See more about how marketers are using MarTechBot here.
However, they do so without identifying the real bottlenecks in content production or thinking through a cohesive plan for how content drives engagement, leads or conversions. For example, let’s say your goal is to reduce the time required to generate a new piece of content and improve productivity. Where are the bottlenecks?
The language model is based on content from MarTech embedded on top of ChatGPT. The editors of MarTech selected this response for its usefulness and have supplemented it with additional relevant content. I am trained with MarTechcontent. Please keep language simple, so everybody on the team can understand.
Generative AI isn’t just transforming marketing it’s already embedded in how marketing teamswork. Unlike traditional martech implementations, this transformation is happening from the ground up as individual marketers adopt AI assistants for their daily work.
The benefits are clear: enhanced productivity, deeper data analysis, personalized experiences, content generation and more. However, tapping into genAI’s full potential requires more than just adding another tool to the martech stack. Work cross-functionally to assemble an AI council to provide direction and drive strategy.
“Are you working overtime?” “I never get off work,” another robot answered. Now, here are this week’s AI-powered martech releases: Optimizely launched AI agents for marketing tasks like content creation, campaign management, and experimentation. “So you’re not going home? .”
For small teams, account-based marketing ( ABM ) simplifies targeting and maximizes budget impact. The benefits of programmatic ABM for small B2B marketing teams ABM presents multiple benefits for small B2B marketing teams striving to optimize resources and drive engagement.
Last week, a marketing director messaged me about her team’s holiday gift exchange: “Half my team is remote, half is in office and all of them deserve something special.” ” It got me thinking about how our industry’s gift-giving needs have evolved along with our working arrangements.
Lets explore their top learnings and some key tips for making the most of AI in your MarTech strategy. Nevertheless, lets dive into concrete marketers routines where AI and MarTech are teaming up today. This flexibility means you can go hands-on or let AI do the work, depending on what fits your goals best.
The language model is based on content from MarTech embedded on top of ChatGPT. The editors of MarTech selected this response for its usefulness and have supplemented it with additional relevant content. I am trained with MarTechcontent. Prompt: Explain the role of a MarTech Manager.
The language model is based on content from MarTech embedded on top of ChatGPT. The editors of MarTech selected this response for its usefulness and have supplemented it with additional relevant content. I am trained with MarTechcontent. Is shifting to martech now the right choice?
The language model is based on content from MarTech embedded on top of ChatGPT. The editors of MarTech selected this response for its usefulness and have supplemented it with additional relevant content. I am trained with MarTechcontent. See more about how marketers are using MarTechBot here.
The legacy of marketing systems Modern-day marketing often works like an apprentice system, where individuals learn their trade through a combination of on-the-job training and formal education under the tutelage of experienced professionals who provide guidance, supervision and feedback. Workflows become automated.
Shifting channels, evolving consumer expectations, and technologies like AI require teams to be more dynamic than ever. Every customer experience requires extensive planning, with content and technology working together behind the scenes to deliver personalized journeys that engage and convert.
Digital first: apps, mobile, social media , video, podcasts, ecommerce — the works. Produce the content they love. Find them wherever they are — like under a remote-work beach umbrella. And they don’t want to take a meeting with a salesperson if they can help it. So, we marketers need to get on board.
The language model is based on content from MarTech embedded on top of ChatGPT. The editors of MarTech selected this response for its usefulness and have supplemented it with additional relevant content. I am trained with MarTechcontent. Here’s how this relationship typically works: 1.
Surprisingly, the number of marketers willing to use AI-generated content if brand suitability could be verified dropped from 66% to 50%. This may be because 68% agreed that AI-generated content may pull in content from original publisher sources without proper clearances or permissions. AdCreative.ai introduces THINK1.Ai:
The importance of a solid system to organize your content If you’ve been in marketing for more than 24 hours, you’ve likely asked or answered questions like these way too many times: Do we have an infographic for tomorrow’s article? This will help your marketing team tailor their strategies effectively. Let’s dive in!
Embrace AI across your marketing workflow AI is transforming how marketers work, enabling faster, smarter, and more effective decision-making. Its not just about automation its about enabling teams to focus on strategy, creativity, and impact. Instead, focus on what drives long-term loyalty, brand preference, and sustainable growth.
I’ve been working behind the scenes with Mike Rizzo and MarketingOps.com to bring you something I’m really excited about: 👉 Lead with Confidence: A Practical Workshop for Marketing Ops Mastery Why this workshop? By the end, you’ll know how to: Structure and scale your marketing ops team.
The expanding martech landscape Martech stacks have exploded over the years. Even the best tech or tactics can only drive meaningful results when actively leveraged by a dedicated resource or team. Where marketing teams should focus Instead of trying to do everything, marketing teams should focus on three key areas: 1.
To understand, we’ll tackle the three core jobs an ABM platform is designed to do and the hidden costs and complexities that make these platforms challenging for marketing teams to integrate. The result is supposed to be a finely tuned list of accounts, giving sales and marketing teams clarity on where to focus their time and resources.
The language model is based on content from MarTech embedded on top of ChatGPT. The editors of MarTech selected this response for its usefulness and have supplemented it with additional relevant content. I am trained with MarTechcontent. See more about how marketers are using MarTechBot here.
The dawn of social media drove a need for valuable content, and content marketing has been front and center ever since, along with standard content consumption and engagement KPIs to help judge its effectiveness. I wish it were that simple when it comes to AI. As with anything new, some were skeptical of its long-term value.
Step 1: Eliminate low-value activities Most marketing teams have to handle tasks that add little or no business value. Identifying and stopping these activities can save significant time for higher-value work. Begin by auditing your teams routine. With honesty and rigor, most teams can free up 10-50% of their available time.
Some 14,106 martech solutions are competing for your attention, a staggering 27.8% What started as 150 martech solutions in 2011 has exploded into a 9,304% growth over 13 years, with a relentless 41.8% The problem-driven buyer: Martech as a solution The smartest CMOs treat martech like surgery. jump from the prior year.
AI is rapidly reshaping various industries, and martech is no exception. Let’s examine the benefits, deployment strategies and key considerations for integrating AI into your martech stack to drive better results and optimize customer experiences. For marketing technology : NLP and computer vision may help with content classification.
I’m still buzzing from a call a few days ago with a marketer working for a well-known Western university. Because her team wants to invest in email instead of chasing cooler channels like Reddit, TikTok or Snap. The rest are content where they are but are looking for more innovative ways to do their work.
Many companies divide marketing responsibilities across multiple specialists: graphic designers, social media managers, marketing operations managers, content marketers and email marketers, to name a few. Creative power: The same team member can generate assets on the spot for any channel.
We’ve come to the end of my series, “Decoding generative AI: A marketer’s guide to text-based and visual AI content.” Because this series focused on generative AI and content, I asked AI assistant Claude Sonnet to help co-create this article with me. Below is the edited output, adding a few of my own touches.
A well-designed lead scoring model enables sales teams to focus on leads most likely to convert, enhancing efficiency and revenue potential. Website interactions Page visits, time spent on pages, content downloads, blog reading frequency and form fills are all key indicators of interest.
As you read through, consider which ones fit your needs and how to put them to work for your team. Example : Send a thank-you message a few days after the transaction, then follow up a week later, asking how the product or service is working for them. A few days before the event, send a reminder with key talking points.
It makes them anxious and defensive because they lack a clear story about their team’s martech maturity. That content connects with your audience. Doing this requires assessing AIs role in your martech stack. Find out where and how AI is already contributing to your martech stack. New team opportunities.
From hyperscalers and martech vendors to agencies and point solutions, everyone is touting their AI/machine learning and genAI-specific capabilities. GenAI is part of the technology that marketing teams rely on daily, such as enterprise and martech solutions. How CMOs choose to augment work will directly impact business results.
What makes content go viral? By understanding the emotional drivers behind viral content, brands can create campaigns that reach wider audiences and inspire real engagement. And how can your company stand out with newsworthy, viral content that drives valuable brand coverage and consumer engagement? So, where’s the disconnect?
Would the results be this good without a creative team of humans driving the text-to-video model? Lumen5: Turning text into engaging videos Lumen5 converts text into engaging video content. You can input your blog post, article or any text content, and it will generate a video based on it.
That feeling of immense possibility clouded by complexity is where many marketing teams sit today. I replaced it with an AI-powered system that pulled the latest content and sent the summary to a spreadsheet a small change that gave me time back and solved a real-world problem. Some worked beautifully. Others did not.
It has shaped how marketing teams operate, how sales teams prioritize outreach, and how executives measure marketing’s contribution to revenue. Executives, sales teams and marketing leaders have all built processes, playbooks and expectations around MQLs. Sales teams have long disliked chasing low-intent MQLs.
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