AI is making marketing more efficient, more measurable, and more capable of driving stronger returns for the business.
For the last several years, business leaders have asked a reasonable question about artificial intelligence: Will all of this investment actually pay off?
Companies have invested in platforms, training, pilots, consultants, and new processes. Teams have experimented with tools and reconsidered how work gets done. The potential was obvious, proving the financial return was harder and that is beginning to change.
We are moving from wondering whether AI can create meaningful business value to measuring how much value it creates. Public companies are starting to connect AI investments directly to productivity, efficiency, cost savings, and stronger margins.
AI is no longer simply a technology story. It is becoming a business performance story.
The Numbers Are Starting to Show Up
A recent Bloomberg report offers a good indication of where things are heading. These gains are not limited to smaller companies. Large public companies are also beginning to show measurable improvements tied to AI.
During the latest earnings season, 25 companies in the S&P 500 put numbers around AI’s impact on their margins. The average improvement was 180 basis points, or 150 basis points when companies that combined AI with other productivity efforts were removed. A quarter earlier, only 17 companies had reported an impact, and the average improvement was much smaller.
That is what stands out to me. It is less about any one company and more about the pattern that is forming. More businesses are beginning to connect AI investments to productivity, lower costs, greater efficiency, and stronger margins.
There is still plenty to learn, but we are beginning to see evidence that companies can move from experimentation to measurable financial performance.
That changes the conversation.
We Are Making the Same Shift at Off Madison Ave
At Off Madison Ave, we are simply not adding AI to existing processes. We are rethinking how work moves through the agency and where technology can help us operate faster, smarter, and more efficiently.
That means looking at our technology stack, improving how projects and information move between teams, and removing unnecessary steps from our workflows. We have also developed an internal AI tool around the way our agency works, with the goal of improving access to information, accelerating research, and reducing repetitive work.
The objective is not to use more technology for the sake of using technology. It is to create more capacity for our people to focus on strategy, creativity, judgment, and client relationships.
Off Madison Ave has long focused on understanding customer behavior and connecting marketing activity to measurable business outcomes. AI gives us another way to strengthen that work.
Building a better agency that delivers stronger results is the strategy and AI is helping us get there.
AI Can Improve the Entire Marketing Process
Companies are beginning to see AI improve productivity across the broader organization. Marketing leaders now need to ask: What does that look like within marketing?
Start by looking beyond isolated tasks and examining the entire operation.
Look at your partners. Are they using AI to work more efficiently and create greater value?
Look at your processes. Where can unnecessary steps be removed? Where can research happen faster? Where can decisions be made sooner?
Look at your technology stack. Are your platforms working together to improve productivity, or are they adding complexity?
AI can help teams analyze more information, explore additional strategic possibilities, streamline production, personalize customer experiences, and interpret campaign performance faster.
Individually, those improvements may seem small. Across an entire marketing operation, they begin to compound. Better processes create capacity. Better technology improves productivity. Better insights support stronger decisions and stronger campaign performance.
That is how AI moves from being another marketing tool to becoming a measurable driver of ROI.
Every AI Investment Needs a Scoreboard
This is where organizations need to become more disciplined. If you are investing in AI, decide how you will measure the return.
Before changing a workflow or introducing a new tool, establish a baseline. Then define what success should look like and include those measures in your scorecard.
Maybe the goal is to:
- Reduce production time by 30 percent.
- Increase team capacity without adding headcount.
- Shorten the time between receiving information and acting on it.
- Improve conversion, retention, campaign performance, or marketing ROI.
- Give employees more time to focus on higher-value work.
The metric will vary but the expectation that there should be a metric should not. Too many companies measure AI activity instead of AI impact.
How many employees are using the platform? How many licenses did we purchase? How many pilots did we launch?
Those numbers show adoption. They do not prove value.
The better question is: What changed because we made the investment?
Your scorecard should tell you.
Did campaign development become faster? Did marketing costs decline? Did the team gain capacity? Did conversion or retention improve? Can those gains be connected to revenue, margin, or another meaningful business result?
Those are the conversations marketing leaders, executives, and boards should be having.
From Experimentation to Accountability
AI experimentation still matters. Companies will continue testing tools, adjusting processes, and learning what works. But I believe we have crossed an important line.
The first phase of AI asked: Will this really change business?
The evidence is increasingly pointing toward yes.
The next question is: How much value can we create from it?
That requires leaders to connect AI to real business problems, integrate it thoughtfully into workflows, establish meaningful measurements, and hold the investment accountable.
The companies that do that will not have to wonder whether AI is making a difference.
They will have the results to prove it.