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Tell us about what’s in the works and what you want to achieve. We’d love to hear from you.
Marketing teams often have a library of assets, including product sheets, solution briefs, and technical guides, that describe what a solution does in detail. These materials are valuable, but they don’t always show why the solution matters to a buyer.
Turning that content into a campaign starts with understanding people. It involves taking technical information and shaping it into a story that reflects buyer priorities and decision-making.
The process begins by finding the insight already within your materials and building a structured narrative that informs, connects, and encourages action.
Before developing campaign assets, focus on the individual who will receive the message. Personas outline demographics and job titles, but they rarely capture real motivations.
Behind every persona is a person with targets to meet, challenges to overcome, and decisions to justify. They are searching for solutions that build confidence and reduce uncertainty.
To reach them effectively, ask:
The answers guide every creative decision: tone, structure, visuals, and calls to action. Campaigns built from this perspective feel personal and relevant.
Most product sheets are structured to inform. Campaigns need to connect.
To find the story within a technical asset, read beyond the features. Look for the tension and resolution—the challenge your buyer faces and the outcome they want to achieve.
Ask yourself:
Mapping these answers reveals the narrative thread: a clear beginning (the problem), middle (the challenge and solution), and end (the business outcome). That thread becomes the spine of your campaign.
Once the story is clear, structure the campaign so every asset supports it. Each piece should serve a defined role in the buyer journey from awareness to engagement to conversion.
A complete campaign might include:
When every element reinforces the same story, the campaign feels cohesive, not fragmented. Each piece becomes a touchpoint in a larger narrative that leads buyers forward.
A strong campaign only drives results if it’s shared and used effectively. Activation turns a strategy into a living, working program.
Ensure every stakeholder—marketers, sellers, and partners—knows how to use the assets and why they work.
That includes:
Effective activation ensures the story reaches its audience in a consistent and coordinated way—across teams, platforms, and regions.
The most effective campaigns often begin with something small: a datasheet, a presentation, or a short technical summary. Within those materials are the ideas, proof points, and insights that can evolve into a complete campaign.
Creating impact starts with intention. When technical content is framed through the lens of audience understanding and strategic storytelling, it becomes more than information. It becomes a message that teaches, connects, and drives action.
Information has never been more accessible—or more overwhelming. In every corner of the digital world, audiences are surrounded by articles, videos, and AI-generated posts that compete for their attention. Amid that volume, what people value most is clear thinking. They look for guidance that helps them understand trends, interpret complexity, and make confident business decisions.
Thought leadership marketing provides that clarity. It connects expertise with education, allowing organizations to share knowledge that informs and influences their audience. When done well, it turns ideas into teaching moments and builds trust that lasts beyond any single campaign.
Thought leadership helps organizations show what they know in ways that build credibility and spark meaningful conversations. It turns professional insight into material that supports long-term visibility and customer confidence.
Strong thought leadership can:
Over time, this kind of consistent, expert-led communication shapes how a company is perceived, both by customers and peers.
All content communicates something. Thought leadership goes a step further by teaching something valuable. It explains an issue, adds context, and offers an informed point of view.
A company blog might summarize a new regulation. A thought leadership article explains its implications for business strategy. One delivers information; the other builds understanding.
The most effective thought leadership has a clear editorial direction. It aligns audience interests with business goals and draws on credible expertise. Each piece contributes to a broader narrative about how the organization sees its industry and its role within it.
Developing thought leadership consistently takes structure and intention. Marketing services focused on this discipline bring strategy, organization, and storytelling expertise to every stage of the process.
Typical components include:
These services ensure every message reflects both subject matter expertise and a consistent brand story.
GenAI is reshaping how thought leadership content is planned, created, and refined. It doesn’t replace expertise—it enhances how that expertise is expressed and distributed.
GenAI tools can support teams throughout the content process:
Research and insight development
AI can scan large volumes of data, reports, and market updates in minutes, helping teams surface emerging themes or new perspectives worth exploring. For example, a marketing strategist might use an AI research assistant to identify patterns in customer sentiment across regions or products, then turn that data into a meaningful narrative about market change.
Idea generation and structure
GenAI helps translate complex technical ideas into outlines or plain-language explanations. This supports faster collaboration between subject matter experts and content creators, ensuring accuracy while improving clarity.
Content adaptation
Once a core article or insight exists, GenAI can assist in tailoring it for different formats or audiences—transforming a white paper into a LinkedIn post, webinar script, or newsletter summary—while preserving the original message.
Quality and optimization
AI-based editing tools can review drafts for readability, tone consistency, and keyword alignment, helping ensure that each piece maintains a professional and coherent voice.
Performance analysis
AI analytics platforms can identify which topics, formats, or headlines drive engagement, offering valuable feedback that informs future editorial decisions.
These capabilities make AI a powerful support system for thought leadership programs. The technology accelerates research, improves accessibility, and helps maintain rhythm across multiple communication channels.
However, the responsibility for insight remains with people. The perspectives, opinions, and conclusions that shape thought leadership must come from experts who understand the context behind the data. AI provides the information; humans give it meaning.
Thought leadership grows stronger through consistency. Publishing regularly, maintaining a defined point of view, and staying close to audience interests creates a steady presence in the market.
Companies that commit to this approach see benefits that compound over time:
Each article, post, or presentation contributes to a foundation of trust. Over time, that foundation becomes one of the most valuable assets a brand can build.
Mercer-MacKay helps organizations turn knowledge into influence through thought leadership and storytelling. We work with technology brands that want to educate their audience, share informed perspectives, and take an active role in shaping their industry’s conversations.
Let’s create a thought leadership program that reflects your expertise and strengthens your voice in the market. Reach out.
Storytelling is one of the oldest forms of communication. Long before we had marketing departments, digital channels, or algorithms, people shared stories to educate, influence, and connect. We still respond to stories because they help us make sense of the world.
That hasn’t changed. What has changed is how we tell stories.
With generative AI transforming how content is created, marketers are asking: Is storytelling still relevant? The short answer: absolutely. In fact, it’s more essential than ever. At the heart of great storytelling is a framework that continues to resonate—the hero’s journey.
The hero’s journey follows a familiar arc: a character starts in their everyday world, faces a challenge, gets support, overcomes obstacles, and returns transformed.
Marketers might not be writing novels, but the pattern applies. Your customer is the hero. They’re navigating complexity, change, or disruption. Your role? You’re the guide. You offer insight, support, and solutions.
When brands adopt this mindset, everything shifts. Product pages become proof points. Case studies evolve into character-driven narratives. Campaigns stop being noisy and start to connect.
And most importantly, your audience starts to see themselves in your content.
Generative AI is quickly becoming a valuable partner for content teams. It can help you scale production, refine messaging, and adapt to different audiences. But can AI tell a compelling story?
It can assist, but it can’t lead.
AI brings real advantages when it comes to the mechanics of storytelling:
AI can identify where customers are in their journey and what they need next—using data to uncover pain points, behaviors, and content gaps.
A single story can be reshaped to speak to different industries or roles. AI helps adjust tone, language, and examples without losing the core message.
Want to know which subject line performs best? Or which call-to-action leads to more engagement? AI can analyze and optimize at scale, quickly.
From headline variations to metaphor suggestions, AI can spark new angles—cutting down brainstorming time and helping teams get unstuck.
Where AI stops is where humans shine: nuance, empathy, context, and emotion.
AI doesn’t know your customer’s frustrations, ambitions, or unspoken hesitations. It can’t sense when a story needs a little more warmth or when a message needs to shift tone. That’s where human judgment makes the difference.
The best content today comes from a blend of both: human strategy and insight, powered by AI’s ability to support, not replace.
We see this as a collaboration. AI helps us work smarter and faster, but it’s the human lens that makes the content resonate.
If you want to build stronger customer connections, start by using their experience as the narrative foundation:
You don’t need to follow this formula rigidly. But having a clear structure will help you create content that moves people—not just through a funnel, but emotionally.
In a world full of platforms, data, and content, a well-told story still stands out. It informs. It builds trust. It drives action.
And as AI continues to evolve, the brands that will stand out aren’t the ones replacing humans—but the ones elevating human insight with the right tools.
Technology can scale your message. But it’s storytelling that makes it stick.
Writing a Microsoft award submission is not like any other form of corporate writing. It’s not a white paper. It’s not a case study. It’s a competition—and one where judges are actively looking for reasons to disqualify your submission during the first read-through. The bar is high, the attention spans are short, and the competition is fierce.
If you want to stand out, here’s what it takes:
At its core, your submission needs to tell a compelling story—one that puts you and your customer at the center and showcases your unique value as a partner. What problem did you solve? What made it complex? Why was your approach exceptional? What are the things that would never make it in a Win Wire or a Case Study but really show that you know your stuff and can overcome hurdles. Microsoft wants to see transformation, not just implementation.
Before you start writing, get crystal clear on why you’re submitting and what you want to achieve:
Every submission needs a positioning strategy. Be intentional about the categories you choose and how your story supports that category’s specific goals.
The process always begins in the messy middle. Start by gathering your best stories—and be prepared for surprises. Often, the stories you think are the strongest won’t be the ones that make the cut. Talk to your sales and delivery teams. Get the story behind the story—the moments of innovation, impact, and resilience that often go undocumented.
Once you’ve collected your stories, map them to Microsoft’s award categories. With 5,000+ submissions across just 45 categories, repurposing stories into multiple submissions is smart strategy. And remember: the first few drafts will be rough. That’s part of the process. You’re shaping and refining, over and over, until the narrative is tight and aligned with Microsoft’s criteria.
Each award category includes specific criteria—and every one of them matters. If you skip a question, dodge the point, or bury your answer in jargon, you risk being tossed aside immediately. Make it easy for the judges to see that you’ve hit every required point, clearly and confidently.
This is where many submissions fall short. You can’t just say you drove impact—you need to prove it:
If it’s not provable, it’s just words on paper.
Your judges will include technical architects, marketers, partner managers, and even interns. Many are not technical. Write at a high enough level that anyone at Microsoft can understand the significance of your work and the business impact you delivered—without getting lost in acronyms or complexity.
Too many reviewers spoil the story. Awards submissions are unlike anything else you’ve written. You will include information that will never ever be used publicly. The entire team needs to be on board. You need a tight, experienced team—ideally 2–3 people—who understand Microsoft, the partner ecosystem, and how to evaluate a strong narrative. Awards writing is a team sport. Partners know their solutions and the award writers know how to tell a story that pops. This is the team that can come together and refine a strong message.
As part of the review process:
Remember, the goal to connect. Make your message easy to understand and hard to ignore. There will be about 300 submissions in each category. The first read through by the judges is to THROW OUT the worst submissions – they are barely read at all. You want to make it to the top 10-20 where the submissions are seriously considered and vetted.
Award submissions are an iterative, collaborative process. Each draft should bring the story into tighter focus and map more clearly to the award criteria. Keep asking: “Is this easy to read? Does it show impact? Have we made our proof points impossible to ignore?”
Microsoft award submissions are judged by people. They are impacted by story and by how you have taken a unique position to drive transformation that will ultimately show up on their score card and pay check.
Judges don’t have time to dig for your value. Be bold. Be strategic. Be specific. And above all, tell a story that no one else can tell.
LinkedIn’s algorithm has changed—and executives who still rely on old tactics are seeing their reach disappear. Based on new data from the Algorithm Insights Report 2025 by Richard van der Blom, this guide breaks down what’s working now. From content formats and engagement strategies to timing, mobile optimization, and post-publication behavior, here’s how to stay visible, build influence, and lead meaningful conversations on LinkedIn this year.
If you’re wondering why your once-reliable LinkedIn posts no longer get the traction they used to, you’re not imagining things. LinkedIn’s algorithm has shifted over the past year.
The Algorithm Insights Report 2025, a comprehensive analysis of over 1.8 million posts by Richard van der Blom and Just Connecting™, lays it out clearly: organic reach has plummeted by nearly 50%, but the potential for meaningful engagement is stronger than ever.
Each year, we review the data and share updates and guidance on how leaders can refine their strategies to reap the rewards of the LinkedIn algorithm. All the data and corresponding recommendations shared below is from the Algorithm Insights report. You can get your copy here.
In the past, it was possible to “game” LinkedIn with frequent posting or lightweight engagement tactics. That era is over.
LinkedIn has shifted toward an interest-driven, conversation-focused feed. The algorithm now favors content that aligns with a user’s demonstrated interests and encourages interaction—not passive consumption.
What to do: Be intentional. Fewer, better posts will outperform a high-volume, low-substance approach.
Executives often overlook one of LinkedIn’s most powerful mechanisms: reciprocal engagement. The algorithm weighs how you interact with others just as heavily as what you post.
Here’s what the data shows:
And it goes both ways. If others are engaging with your posts, you’ll continue showing up in their feed as well.
What to do: Comment on relevant industry posts, respond to comments on your content, and keep conversations going in DMs—not just in the comments section.
LinkedIn’s algorithm now recognizes comments as more than just engagement—they’re indicators of quality. Posts that generate discussion are pushed to more people and seen over a longer period.
What triggers comments? Clarity, specificity, and a strong call to engagement. It’s not enough to post your perspective—you need to invite others in.
What to do: End every post with a genuine question. Think:
Another underused feature: saves. When someone saves your post, LinkedIn treats that action as a high-value signal. It means your content is worth revisiting—and the algorithm rewards that with greater visibility for future posts.
Saves are especially common for:
What to do: Think utility. Offer a clear takeaway or insight your audience can apply to their work.
Not all posts are created equal. The format you choose has a significant impact on how your content performs. Here’s what the data shows:
Use this format when sharing lessons from events, key takeaways, or personal wins.
Use this format when sharing product insights, perspectives, or quick thought leadership riffs.
Use this format when you want quick, high-engagement insights and plan to follow up with your reflections.
Use this format when you want to showcase frameworks, guides, or high-value evergreen content.
Text-only posts, once the backbone of executive presence on LinkedIn, are seeing significant decline in both reach and engagement.
Why? They don’t visually interrupt the feed, they lack shareable elements, and they struggle to hold attention—especially on mobile.
What to do:
LinkedIn has long discouraged posts that direct users off-platform. In past years, external links were effectively reach killers. But in 2025, the algorithm has softened—just slightly.
Recent data shows that:
This doesn’t mean external links are suddenly equal to native content—but LinkedIn seems to be recognizing that off-platform value can still support user intent.
What to do:
In short: you don’t have to avoid links altogether. But they work best when they’re used sparingly, framed thoughtfully, and backed by content that delivers value before the click.
LinkedIn remains a platform where early engagement makes or breaks a post.
What to do: Post 2–3 times per week. Mix your formats. Monitor engagement patterns to identify your optimal posting time.
A common pattern we see with executives on LinkedIn: two polished posts a week, then… silence. No replies. No comments on others’ content. No conversations. Just broadcasting into the void.
That’s not a visibility strategy. That’s digital absenteeism.
The data is clear: engagement after publishing is just as important as the post itself.
Posts that spark dialogue get extended reach and longer feed life. But you have to participate.
What to do:
Showing up consistently in other people’s comment sections signals that you’re active, present, and interested.
What to do:
The best posts live beyond their original form. Use your comment section to gather insights and spark new posts or deeper discussions.
What to do:
With 72% of engagement happening on mobile, content must be optimized for scrolling.
What to do: Think mobile first in every post. Avoid clutter. Make each post easy to consume at a glance.
LinkedIn now tracks how long users spend reading your content—even if they don’t interact. That’s called dwell time, and it’s a powerful signal.
The best-performing posts:
What to do: Tell a story. Deliver a lesson. Give your readers a reason to slow their scroll.
If you’re leading a team, building influence in your industry, or guiding strategic decisions—your visibility matters. But being visible today doesn’t mean being everywhere. It means being thoughtful, consistent, and relevant.
Post with purpose. Comment with intention. Build relationships in the open. The individuals who create conversation—not just content—are the ones who get seen, heard, and remembered.
These learnings we apply to our own approach and practices. Find out about the Digital Executive Program.
As AI-generated content becomes more common, many organizations are asking how to stand out with messaging that still feels authentic and strategic. In this blog, Gail Mercer-MacKay shares six essential practices for building meaningful thought leadership in the age of AI — from elevating executive voices to using data with purpose and choosing the right content formats to drive influence.
A customer recently told me, “The reason we brought you in as an extension of our team is because you really understand how to message to different audiences—and how to drive deeper thought leadership into our materials, so we can reach the people we want to reach with value. We sound different with your solutions.”
That feedback stayed with me because it speaks directly to the heart of what we do at Mercer-MacKay: we help organizations articulate their value with greater clarity, confidence, and purpose. We help them sound like themselves—but stronger.
And in a world where AI is now generating content at scale, standing out has never been more important. There’s a growing risk that brands will rely too heavily on AI tools, producing content that lacks direction, depth, or originality.
Thought leadership isn’t about volume. It’s about vision. It’s about having something meaningful to say—and saying it in a way that reflects real experience and real expertise.
Here are six ways we help our clients approach thought leadership in today’s AI-driven landscape:
1. Quality over volume
We’re seeing a shift in strategy. Rather than filling channels with high-frequency content, leading brands are opting to publish fewer pieces that go deeper—content that is original, research-backed, and informed by experience.
These pieces reflect strong points of view and present ideas in a new light or challenge conventional wisdom in a smart, strategic way.
Example: Instead of publishing “5 Benefits of AI,” shift the conversation to something more insightful, such as “Why 90% of AI Initiatives Fail—And How to Beat the Odds.” This reframes the discussion to offer value, spark curiosity, and showcase expertise.
2. Executive-led thought leadership
Audiences want to hear from the people behind the brand—especially those in leadership roles. Content authored by executives, practitioners, and domain experts feels more authentic and carries more weight, particularly in B2B sectors such as technology, healthcare, and professional services.
One of our anchor offerings is the Digital Executive (DEx) Program—a strategy, playbook, and communications guide designed to help executive teams develop and share their unique points of view. We work closely with leadership to ensure their voice aligns with corporate objectives, while still feeling personal and credible.
3. Data-driven authority
Compelling thought leadership is increasingly backed by data. This might include:
We often build programs that both share and gather insight. For example, through content syndication or research-driven campaigns, we help clients position themselves as authoritative sources—not just observers in the market. Webinars featuring subject matter experts and aligned to industry trends add further weight and relevance.
4. Strategic use of AI
AI can accelerate parts of the content creation process—from topic ideation to outlining or drafting. But readers can quickly detect AI generated content, as it often feels generic or lacks insight.
It’s best to use generative AI to support speed and structure, especially in SEO-driven content. But when it comes to positioning, layering in human storytelling, executive insight, and strong opinions is key. This ensures the final product reflects the expertise and authenticity of the brand behind it. We’ve found a good blend within our programs that mix AI-written content for SEO metrics with true thought leadership content for positioning as original thinkers.
5. Expanding formats
Thought leadership isn’t confined to blogs and whitepapers anymore. Modern audiences expect a mix of formats—ones that match how they consume information in their daily lives.
We encourage clients to think about:
Offering content in multiple formats helps you meet your audience where they are and engage them more effectively.
6. A call for boldness
Content that plays it safe rarely leaves an impression. Today’s most effective thought leaders are embracing bold predictions, challenging outdated norms, and offering a strong point of view—as long as it’s supported by evidence.
We often work with clients to refine and express their position with courage and clarity. Being original and authentic sometimes means being vulnerable, and many organizations hesitate there. But that’s often where the deepest connections happen—when your audience sees that you’re willing to lead with conviction.
As AI continues to evolve, so must our approach to leadership and influence. The organizations that succeed will be the ones who use AI to support speed—but lean on lived expertise and human insight to shape their message.
If you’re ready to elevate your voice and refine your leadership strategy, we’d love to show you how we can help.