Marketing Automation

Marketing Execution. Automated.

Stop wasting time on technical execution. You automate the operational grind of B2B marketing. Now your team can focus on strategy, experimentation, and driving revenue. Campaigns launch, optimize, and adapt. Automatically.

Advantages

Your CRM Becomes the Source of Truth

Connect Metadata directly to your CRM so optimization happens on what matters - pipeline and revenue - not clicks or vanity metrics. Data flows both ways, keeping audiences, goals, and campaign decisions synchronized.

Campaigns That Optimize Themselves

Build once; deploy everywhere. Metadata launches and adjusts campaigns across LinkedIn, Facebook, Instagram, Reddit, Google and Bing based on real performance signals - without repetitive manual setup or updates.

Spend Smart. Scale Fast.

Group campaigns by objective and let Metadata’s optimizer automatically pace budgets, reallocate spend, and drive performance toward revenue outcomes—no spreadsheets, no guesswork.

One Platform. Zero Busywork.

No more hopping between native platforms or copying lists from tool to tool. Create audiences once, update them automatically from your CRM, and activate them in every channel with a single click.

Real results for real marketers

“I can’t imagine ever running paid campaigns natively ever again. It’d be like going back to dial-up internet.”
Andrew Harder
Senior Paid Media Manager, Webex Events
“Metadata automates the tedious tasks of our campaign building with the power of 10 campaign managers."
Guillaume Cabane
VP of Growth, Ex-Gorgias / Drift / Segment
“Part of it is just having one place for all this stuff I’m trying to juggle in my head all the time and knowing that I can reference it immediately. So when the CEO says, ‘What’s going on?’ I can show them instantly what’s happening, why it’s working or not working, and what we’re going to do next.”
Andy Wibbels
Director of Marketing, Lucidworks

You set the goal. We hit it.

Tell Metadata what you care about – pipeline stages, revenue goals, or specific customer outcomes – and its AI Agents optimize campaigns toward those targets across channels in real time. Flexible KPIs, Firm ROI

Optimizing 24/7

From automatically pausing underperformers to continuously shifting budget toward winning experiments, Metadata runs non-stop so your campaigns stay aligned with what’s genuinely driving results.

Real-Time Results

Instant access to performance across audiences, creatives, and channels means you always know what’s working and why—so you can make strategic decisions with confidence.

See the optimizer in action

Explore how Metadata orchestrates execution, optimization, and reporting automatically—turning paid campaigns into predictable revenue drivers without the manual grind.

See how Metadata compares to native ad platforms and see why marketers choose a unified AI-driven approach for targeting accuracy, cost efficiency, experimentation at scale, and direct pipeline influence.

FAQs

What is B2B paid media automation?

It's the use of AI and software to handle the repetitive, manual tasks of running paid campaigns.

Think launching ads. Adjusting budgets. Syncing audiences. Testing creative. All the stuff that eats up your day.

Instead of doing it yourself across five different platforms, automation does it for you. Across all of them. At the same time.

So your team can focus on strategy, experimentation, and driving revenue. Not copying and pasting audience lists.

What are AI agents in marketing?

AI agents are autonomous software programs that do the work you'd normally do manually.

They launch campaigns. They test creative variations. They adjust targeting. They reallocate budget based on what's actually working.

And they do it 24/7. While you sleep. While you're in meetings. While you're trying to explain to your CEO why CPL doesn't matter.

The difference between traditional marketing automation and AI agents? Traditional automation follows rules you set. AI agents learn, adapt, and optimize toward the outcomes you care about—like pipeline and revenue.

How is this different from native ad platform automation?

Good question.

Native platforms like LinkedIn, Google, and Meta have their own automation features. But they're optimizing for their own goals. Not yours.

LinkedIn wants you to spend more on LinkedIn. Google wants you to spend more on Google. They're not going to tell you to shift budget away from their platform—even if that's the right move for your business.

Plus, native automation is stuck inside each platform. You can't optimize across channels. You can't sync audiences from your CRM. And you definitely can't tie performance back to pipeline and revenue.

That's where cross-channel, AI-driven automation comes in. It optimizes for your business outcomes. Not platform metrics.

 

What does "cross-channel optimization" actually mean?

It means your campaigns don't live in silos.

Most B2B marketers run campaigns on LinkedIn, Google, Meta, and maybe a few other channels. But each platform is its own island. You're managing budgets separately. Audiences separately. Reporting separately.

Cross-channel optimization means one system that sees performance across all your channels at once. It knows which audiences are converting on LinkedIn. Which creative is working on Meta. Which keywords are driving pipeline on Google.

And it automatically shifts budget toward what's working. Across all of them.

So instead of manually checking five dashboards and moving money around in spreadsheets, the system does it for you. In real time.

End of "What Is" Content

 

Optimizer: Explained

We should probably keep the Optimizer secret sauce, well, secret. But we’ve never been much for gatekeeping.