By Michelle Najarian, Kimberly Mass

Image by Rachel Adams

Wine and cheese? A classic. Wine and chocolate? A reward on a Tuesday. Wine and… french fries? Surprisingly, yes. The salt, the fat, the acidity—each balances the other out. One cuts through, one smooths things over, and one keeps you coming back for the next bite.

The best pairings aren’t always obvious. They’re the ones where each makes the other just a little bit better.

Turns out, that idea holds up beyond the glass. Here are three unexpected asset pairings we’re enjoying right now:

• Messaging + animation: A messaging framework gives you the 100-word version of your story: clear, consistent, and ready to use across internal teams. Animation brings that language to life visually for an external audience. Take the core message, build it into a short sizzle, and layer in specific use cases viewers relate to.
  
• Email + first call deck: When you pair an email with a first call deck from the beginning, the story doesn’t restart—it continues. The same consistent message shows up again, with more depth. Adding a slide in an email gives a glimpse of what’s next. A phrase in the deck recalls what first sparked interest. The journey feels connected, because it is.
  
• Playbook + video explainer: Playbooks are built for depth—all the details teams need, all in one place. Video adds a human layer, with short explainers keyed to critical moments: a quick walkthrough to get oriented, a step-by-step for the parts that matter most, a summary with just the highlights.

Like any good pairing, it’s not about more—it’s about what works better together. At 2A, we help teams find those perfect combinations and bring them to life.

By Abby Breckenridge

Image by Guangyi Li

I’m going to let you in on a little secret. While it’s true that our creative agency helps tech marketers make effective marketing content, there’s a secondary value that runs alongside the standout assets like animations and messaging frameworks that we offer. We help our clients look good—really shine at their organization and out in the world.

And we’re here for it. As a service company, we love to help our clients look sharp. So we’re kicking off a new series called Made ya look good, where we break down the real, practical ways we help our clients win.

First up: we know your visual brand

When you’re a marketer at a big tech company, brand is a big deal. It’s a complex system with rules, tools, and defined patterns. Entire teams are responsible for making sure it’s executed consistently and correctly. It’s a thing of beauty when it’s done well, and it takes work.

Walking into that world unprepared slows everything down.

That’s why our design team does the work to get up to speed and stay current. We come in already fluent in your typography, your layout logic, and your visual tone. We know how your brand flexes and where it doesn’t.

How does this help our clients look good?

• Their internal brand team is delighted instead of skeptical
• Feedback cycles are faster and more focused
• Most importantly, assets get approved and perform in the field because they look exactly like they belong

Recently, we were closing out a handful of assets for a client at Azure. Like most brands at enterprise organizations, they have a rigorous internal brand review process, the kind that can result in detailed, line-by-line feedback and multiple rounds of revisions. It’s a necessary step, but it can slow things down and create extra work for already busy marketing teams.

The brand team came back with a couple small suggestions and some praise. One comment summed it up: “This eBook looks fantastic! It really reflects the brand, while aligning with style guide points.”

Our client built trust with their brand team without needing to become a brand expert, moved their asset forward faster, and saved meaningful time in their day. Looking good! Want to experience something similar? Let’s talk!

There’s more to come in our series, Made ya look good. Stay tuned.

By Michelle Najarian, Andrea Swangard

Image by Nicole Todd

Recently, we worked with an enterprise data platform company navigating a major market shift. Like many tech organizations today, they were evolving their positioning for the AI era and trying to tell a bigger story about the role their technology plays in modern data infrastructure.

But the messaging kept expanding because the core framework wasn’t built around the audiences or their specific pain points. One asset tried to speak to executives, while another layered in technical details for architects and engineers. Sales teams wanted quick pitch materials, and content teams needed deeper educational assets. The story was trying to check too many boxes, and it wasn’t landing clearly with anyone.

In complex categories like cloud and AI, the technology is sophisticated and the audience is diverse, and it’s easy for messaging to stretch until it tries to satisfy everyone at once.

Start with the audience

To solve this, we stepped back and defined the core personas the company needed to reach, along with their priorities and motivations. Executives were focused on strategic outcomes like building an AI-ready data foundation and driving measurable business impact. Technical decision makers cared more about development efficiency and how new capabilities would integrate into their existing tech stack.

Once those differences were clear, the gaps in the narrative became obvious. The messaging assumed a level of technical understanding that some decision makers didn’t yet have. The story was starting too far downstream for part of the audience.

From there, we built a narrative framework the entire organization could use. It mapped the core story to each audience and clarified what mattered most to them, from strategic business outcomes to technical proof points. That framework gave teams a shared foundation for everything from executive messaging to developer content.

Clarity creates alignment

When the audience is clearly defined and the narrative framework is shared across teams, the story becomes much easier to scale across campaigns, assets, and channels.

Markets will keep evolving, especially as AI reshapes how companies think about their data strategies. The organizations that adapt most effectively aren’t constantly rewriting their story, they’re using frameworks built around the people they’re trying to reach. And when that foundation is in place, the rest of the messaging becomes much easier to build and evolve as the company and its solutions grow.

By Abby Breckenridge

Image by Nicole Todd

“Violence against women affects me as a human being—my message shouldn’t be a feminist message. It’s a universal message.” — Bad Bunny

Is it a cheap trick to open with a Bad Bunny quote? Probably. Am I above it? Certainly not.

As a women’s studies minor and lifelong feminist, I have spent a lot of time mulling over feminist issues, and I firmly believe in the concept behind what Bad Bunny is highlighting here. Most things we call women’s issues are just human issues and segmenting them off usually does their cause a disservice.

I feel the same way about parental leave. It’s on all of us to help make sure folks can have and raise kids, and adequate parental leave is part of that.

In the staffing agency world, benefits like parental leave are rare. Most staffing models treat staffing consultants and contract workers as temporary resources: deliver the work, finish the contract, move on. Benefits are minimal, and life events are often treated as inconveniences to the system.

But having children isn’t an inconvenience. It’s how societies continue. If we want thriving communities, people must be able to have and raise children without sacrificing their careers. That responsibility has not been picked up by our government, so for now it belongs to all of us, including companies.

That’s why we provide paid parental leave to our staffing consultants.

Our team is made up of experts who help our clients ship campaigns, launch products, and scale content programs. They’re professionals with careers and lives. Supporting them through major life moments is good policy. And it’s good for business.

People do their best work when they know they’re valued as humans, not just as billable hours. And by respectfully handling our consultants’ parental leave needs, including temporary replacements and overlap time for handoffs, we’re also helping our clients. Win/win.

By Guy Schoonmaker

Image by Nicole Todd

If you’re a marketer in big tech right now, you’ve probably heard the question: “Can you use AI to build this instead of hiring an agency?”

It usually comes up when you’re asking for budget for a pitch deck, a gated asset, or maybe a case study.

The honest answer is: AI can help a lot. But it can’t replace the process.

AI is useful and saves time at several points across the content creation lifecycle. It’s great for accelerating research and summarizing source material, and it can help surface possible angles for a story. It can assist with early drafting, tightening language, and generating variations of messaging. Used well, it can speed up the mechanics of content creation. (Used poorly, it can suck up the user’s time in a different way. Or worse, create a terrible asset.)

Making the story matter

Moving from an idea to a finished asset still takes skilled humans. And maybe that tech marketer has the skills to guide the AI. But do they have the time?

Good marketing content requires judgment. Someone has to define the point of view. Someone has to decide what’s actually interesting to the audience. They also have to ensure the story supports the brand and helps differentiate it from competitive solutions in the market.

And when it comes to visual design—especially for assets with strong, recognizable brands—AI tools can assist with ideation and photo editing, but they’re not yet producing the kind of story-driven design that represents a major tech brand.

So when someone asks whether AI can build the asset, the right answer is: AI can help. And it still takes skill and time to make something great.

Helping teams move faster

That’s where we come in. At 2A, we combine experienced storytellers, consultants, and designers with modern tools to meet the pace of today’s tech teams. When it makes sense, we use AI to accelerate brainstorming and streamline drafts. It also helps us explore design directions more efficiently. That allows us to spend more time refining ideas with you and delivering work that’s thoughtful and precise.

Because the goal is to make content that resonates. And we can help.

By Nora Bright, Andrea Swangard

Image by Nicole Todd

For many B2B tech organizations, building a partner program feels like a natural next step as they look to expand their go-to-market strategy. Partnerships, integrations, co-sell motions, and marketplace participation can extend your reach and unlock new revenue without requiring you to expand your core product. For many companies, this becomes a key part of their partner ecosystem strategy.

What’s less obvious at the outset is how quickly the team structure behind a partner program needs to evolve. Early on, partnerships are primarily about building relationships. As the ecosystem grows, the work becomes more operational and programmatic, and the partner program structure often needs to evolve with it.

Early stage: One person, many hats

At the beginning, partner programs are relationship-led. One person, sometimes a founder, builds alliances, negotiates integrations, supports sales conversations, and experiments with light co-marketing.

Processes are informal with loosely-defined incentives, and pipeline influence isn’t always tracked in a rigorous way.

Hiring focus: Hire for versatility and ownership. You need someone comfortable operating without a playbook, who can move between strategy and execution without friction. Over-specializing too early can slow momentum when scaling a partner program.

Growth stage: Complexity starts to surface

As your ecosystem grows to a meaningful portfolio of partners, team needs evolve. Sales wants clearer co-sell guidance and marketing sees repeatable campaign opportunities. Leadership asks for reporting and marketplace programs introduce new requirements.

This is often the point where organizations expect one person to manage relationships, marketing, enablement, and reporting simultaneously, and that structure rarely holds up as the program expands.

Hiring focus: Before adding headcount, define what’s actually breaking. Is it enablement? Campaign execution? Reporting? Hiring without clarifying ownership usually recreates the same bottleneck in a slightly different form as partner ecosystem management becomes more complex.

Mature stage: Partnerships become a growth channel

When partnerships begin influencing a material portion of pipeline, informality stops working. Revenue targets emerge, incentives formalize, and the work that once sat with a single generalist begins to separate into more defined functions:

• Strategic alliances (which partners to prioritize)
• Partner marketing (how to activate demand)
• Enablement (how sellers and partners execute)
• Operations (how performance is tracked and measured)

At this stage of partner program maturity, organizations typically move toward a more clearly defined partnership team structure.

Hiring focus: Define scope and revenue accountability clearly before hiring senior talent. Strong candidates will expect clarity around authority, KPIs, and decision rights before accepting the role, especially when revenue is involved.

Structure enables alignment and scale

As partner programs grow, structure is what allows teams to keep moving quickly instead of getting stuck in ambiguity. The organizations that get the most from their partner ecosystems are usually the ones that redefine roles just ahead of complexity, not in reaction to it. Taking the time to scope those roles clearly helps organizations make the right hires and ensures new team members are set up to succeed.

If you’re evaluating your next partner hire or thinking about how your ecosystem team should evolve, it can help to talk through the structure before opening a search. If you’d like an experienced perspective, reach out!

By Andrea Swangard

Image by Evan Aeschlimann

AI is everywhere in marketing right now. A common assumption is that designers using AI type a prompt, magic happens, and the creative work is done. Sounds easy! And risky. The reality is more nuanced, and far more interesting. To ground the conversation in real-world experience, I spoke with 2A designers Aaron Wendel, Evan Aeschlimann, and Guangyi Li about how AI fits into their creative process.

Getting to a first draft faster

Inside 2A, AI isn’t replacing designers, but it’s becoming a fast, surprisingly capable assistant. The design team uses it most heavily in early concepting for things like generating layout variations, exploring infographic structures, experimenting with illustration styles, and prototyping interactive experiences. Tools like Figma Make, Gemini, and Adobe Firefly help accelerate the “blank page” phase and bring ideas to life faster.

Where AI really shines is efficiency. Background removal that once took 20 minutes now takes 30 seconds. With a quick prompt, AI can help turn a static image into a video and rearrange a rough wireframe into a more logical flow. Designers can test alternate angles, lighting, and visual treatments, all before committing hours of production time.

The difference between fast and finished

Here’s the critical distinction with AI: it can get you to early concepts quickly. But it doesn’t reliably maintain brand consistency and it struggles with typography and detailed layout logic. The more complex the brand system, the more human oversight is required. In experiments with training custom agents to generate fully on-brand visuals, the results were either generic or oddly off-base. Sometimes the output was decent, but rarely client-ready.

That’s where expertise matters. The designer’s role isn’t shrinking; it’s evolving. AI enables faster experimentation and cross-disciplinary thinking—designers can prototype motion, imagine interactivity, or explore UI behaviors without writing code. However, judgment and brand integrity still require a trained eye.

At 2A, AI accelerates the process, and our designers define the outcome. AI tools can generate options, but only experts can turn those options into assets that are on-brand, intentional, and built to drive results.

By Katy Nally

Image by Aaron Wendel

2A may have started off as a Microsoft shop, but over the years, we’ve grown to cover a much larger slice of the tech industry. We have clients at small AI startups, large cloud enterprises, and many other partners in between.  

Each year we compile our show-stopping assets into a sizzle reel to showcase our best work. Take a look! And keep reading to learn more about how we put it all together. (And if you’re curious about how we think about video formats more broadly, check out our recent post on engaging more and converting faster with the right video.) 

Katy: Oh hello there Aaron Wendel! Please tell us about the new sizzle video you and your team created for 2A. I hear it captures the essence of our work in just about 1 minute. What does it show? 

Aaron: It’s a little of everything we create at 2A. Animation, video, decks, ebooks, blogs… even a sticker sheet.  

Katy: What’s your favorite moment in this sizzle? 

Aaron: There’s a moment toward the beginning that highlights two assets we created for the Azure Database team. It’s really simple, but I love when a project spans across a range of deliverables, and we lean into our team’s brand expertise to adapt to the needs of each asset.

Katy: What does this sizzle say about 2A? 

Aaron: It shows we have a wide variety of work, and know how to put together a great playlist! 

Katy: So true! What’s something that didn’t make the cut that you think should get some love? 

Aaron: All of the projects that don’t necessarily sizzle but are successful in other ways, like translating technical concepts, demonstrating a new product feature, or building foundational messaging for a client. These go a long way in helping clients explain their solutions and giving customers “Aha!” moments.

Katy: How did you time the music with the images? 

Aaron: You’ll have to interview our talented motion designer Chris next!  

Katy: Glad I asked! Thanks for chatting—we love the sizzle!  

By Andrea Swangard

Image by Rachel Adams

The Thomson Reuters Future of Professionals Report is packed with essential data on how AI is transforming professional services, with a particular focus on the legal industry. But as with many in-depth reports, its richness and detail can be a double-edged sword: great for insight, but harder for time-strapped readers to absorb and act on quickly. 

Thomson Reuters partnered with us to create two new content pieces that made key findings from the report easier to engage with and more directly useful for their legal audience. By distilling complex research into a targeted infographic and a focused whitepaper, we helped bring clarity to professionals at different stages of their AI journey. 

Getting started: The infographic for AI readiness 

For professionals still shaping their AI strategy, we built an infographic that functions as a readiness checklist. It walks readers through the foundational steps needed to prepare for agentic AI, from building strategy to empowering individuals, with practical prompts and data points drawn from the report. 

The visual format makes the information easier to scan and share, while still grounding every recommendation in the original research. 

Going deeper: The whitepaper on maximizing AI value 

For legal leaders further along in their AI adoption, we developed a six-page whitepaper that offers concrete strategies to turn AI investments into measurable results. Drawing from the report’s legal-specific insights, the guide covers four key focus areas: strategy and leadership, trust, enablement, and measurement. 

Rather than reiterating technical features, the whitepaper keeps the focus on real-world applications, like how to embed AI in workflows your team already uses and track outcomes that align with your business priorities. It positions Thomson Reuters as both a thought leader and a trusted advisor for legal professionals navigating AI transformation. 

One report, two assets, many outcomes 

These assets demonstrate the power of repackaging research to meet audiences where they are. By creating content that’s aligned to different levels of AI maturity, we helped Thomson Reuters extend the reach of their research and support their customers in taking the next right step. 

Looking to turn your insights into action? Let’s talk. 

By Abby Breckenridge

Image by Rachel Adams

Our clients are smart. They market cutting-edge products, which means they’re always looking for new ways to make their efforts more effective. So the line of questioning we hear most consistently from them is: what’s working? What are your other clients doing? What’s hot in B2B tech marketing?

Right now, the answer is letting real experts speak directly to buyers. Not brand voice, not canned demos, not vague thought leadership—but credible, knowledgeable people who clearly know their domain and aren’t afraid to say something specific.

Buyers are overwhelmed. Social media feeds and inboxes are flooded with generic content, most of it interchangeable and written to satisfy an algorithm. In that environment, content that clearly came from a real person with real experience immediately stands out. When buyers hear from someone who has hands-on expertise, like an engineer, a product leader, or a satisfied customer, they’re more likely to pay attention and trust what they’re hearing.

This approach works across a range of formats. We’re seeing strong performance from:

• Written case studies that go beyond surface-level metrics and include expert commentary on how and why results were achieved
• Video case studies where customers or internal experts speak plainly about challenges and outcomes
• Engineer-driven blogs that explain architectures and the reasoning behind decisions
• Founder or executive POV pieces with anecdotes that reflect lived experience
• Original research with new takes and insights

Credibility is what wins today. When customers are looking for reasons to believe, the most persuasive marketing isn’t louder—it’s grounded in real expertise and feels more specific and human.