When a client asks, “What’s the ROI of [insert ad channel here]?” what they’re really asking is, “Which magic button can I press to make results appear?”

We get it. Attribution is intoxicating. ROAS feels like truth. And with the rise of AI-powered buying tools, real-time dashboards, and third-party data integrations, it’s never been easier to see results. 

But here’s the kicker: the numbers you can track are only part of the story. The rest? That’s where we come in.

Our Approach

At Yalo, our media team is built differently, with the knowledge that data is a critical tool, but it’s not the whole tool belt. 

We’re full-funnel, full-service, and fully fluent in the nuances of both digital and traditional channels. And yes, when to trust ROAS metrics, and when to be a healthy skeptic. From CTV and podcasts to SEM, print, programmatic, and beyond—we’re not here to rack up views, we’re here to make them count.

How? We use in-platform and third-party AI tools not just to chase efficiency, but to ensure impact. 

Whether it’s uploading a CRM list through LiveRamp, creating historical geotargeting audiences via third-party partners, or running brand lift studies across healthcare or general market categories, we’re not guessing—we’re pinpointing.

The Planning Process

Our planning process is powered by research partners like MRI Simmons and Comscore. 

Our buying is enriched with purchase-level data from credit bureaus and intent signals. And our reporting? Custom dashboards that are live, accessible, and actually usable, so clients aren’t stuck staring at a spreadsheet asking ‘so what?’

Get Creative

But tech alone won’t win the war.

You still need great creative. An integrated media mix. A message that lands. And yes, that includes a team that understands your business well enough to challenge your assumptions.

While it’s tempting to chase short-term wins with last-click logic, the truth is: 91% of people who buy your product saw your ads and didn’t click them (Nielsen). 80% bounce between devices before purchase. And 40% use more than one screen to complete a transaction (eMarketer).

So, what’s the ROI of that?

Truth is, the most impactful plans don’t just ask, “What channel will convert?” They ask:

• Where does your audience live, scroll, shop, or tune out?
  
• What will they remember tomorrow?
  
• What combination of message, medium, and moment creates action?
  

That’s what we do.

The Yalo Difference

Our tribe connects the dots between strategy, storytelling, and sales. Between the art and the algorithm. Between “what you’re doing” and “why it’s working.”

There’s no magic button. Just media done right. And that’s the Yalo way.

If you’ve ever cracked open a Statement of Work (SOW) and felt your soul leave your body, you’re not alone. SOWs are critical for defining the scope of a project, but they’re also dense, jargon-packed, and, let’s be honest, a little soul-crushing. As an agency, we thrive on collaboration across multiple disciplines—but that means translating a SOW into an actionable, digestible plan that all disciplines can understand. That’s where AI can be a huge help. 

Working with Cortland Apartments, we faced a complex mix of deliverables when it came to their sponsorship with the Atlanta Braves: stadium digital assets, video production, physical signage, and message development that unified the Cortland and Braves brands. Managing these moving parts within the constraints of a real-world budget meant we needed an optimal way to prioritize, allocate resources, and ensure every hour counted. AI helped us do exactly that.

Prioritizing the Heavy Hitters First

Traditionally, turning an SOW into a project plan required a painful process of manually combing through pages of details, highlighting key milestones, and cross-referencing dependencies. It was slow, inefficient, and left way too much room for human error.

By integrating AI into our workflow, we could instantly identify:

• Key deliverables and their dependencies
• Specific format and functional requirements
• Due dates, milestones, and approval checkpoints
• Responsibilities across different disciplines
• Which tasks to prioritize based on business impact and sponsorship visibility

AI enabled us to prioritize high-impact deliverables, such as stadium digital assets and signage with game-day visibility, based on urgency and partnership impact. Its structured workstreams kept us focused on what mattered most, rather than playing catch-up.

Calling the Right Plays for Hours and Budget

Project management isn’t just about keeping tasks in order, it’s about making sure we don’t blow the budget. AI helped us estimate hours needed for each task based on actual historical data from our team, rather than industry benchmarks that don’t reflect real-world agency constraints. This meant we could:

• Allocate time accurately to creative, production, and strategy teams
• Avoid overloading staff or underestimating effort for high-complexity deliverables
• Ensure that the total hours tracked aligned with the budget approved for the sponsorship

This level of precision gave us a clear roadmap that balanced creative ambition with financial reality. AI didn’t just organize our tasks, it actively made sure our strategy was financially viable from day one.

How AI Keeps Every Position Covered

Once we had the core details extracted and prioritized, the next challenge was ensuring every discipline—creative, strategy, media, development—was aligned and working from the same playbook. AI didn’t just stop at summarization; it powered our task management system by:

• Automatically generating timelines and tasks based on our suggested project timing templates and key milestone dates
• Setting up dependencies between tasks and teams so the work flowed logically
• Sending deadline reminders to alert team members that a status update on the project has been requested 
• Suggesting days for internal review meetings as based on our project intake timing
• Highlighting priority items so nothing fell through the cracks

Instead of each department working in a silo and hoping everything lined up in the end, AI gave us a shared source of truth. No more guessing games, no more frantic Slack messages asking, “Wait, when is this due?”

Playing Smart: More Hits, Fewer Scrambles

By putting AI to work in project management, we didn’t just make life easier, we fundamentally improved how we deliver work. The biggest benefits?

• Speed: What used to take hours to set up, now happens in minutes.
• Clarity: Teams know exactly what’s expected of them and when.
• Accountability: No more missed deadlines or surprise bottlenecks.
• Budget Control: Hours estimates aligned with actual resources, preventing overruns.

AI didn’t replace our expertise, it amplified it. It turned a process riddled with inefficiencies into a well-oiled machine, freeing us up to focus on what really matters: delivering great work.

The Final Score

SOWs might still be a necessary evil, but with AI, they don’t have to be a productivity killer. By automating the extraction of key details, prioritizing high-impact deliverables, and aligning resources with budgets, we transformed the way we ran the Cortland x Atlanta Braves sponsorship.