How I think about marketing.

I trust a number more than an adjective. Every marketing leader I respect can tell you what the team spent, what it returned and what they would cut tomorrow if the quarter went sideways, and they can say it without opening a deck. That fluency is what earns a marketing team its seat in the room.

The pressure to show it keeps growing. Deloitte Digital's 2026 marketing outlook describes CFOs looking harder at marketing and asking for a measurable return on every investment, and it argues that the CMOs who speak the language of ROI, customer value and revenue attribution are the ones who keep their influence and their budgets. Its practical advice is something I have lived by: agree with finance on one ROI model, even an imperfect one, because consistency matters more than precision when you're defending a budget. The B2B survey from Content Marketing Institute and MarketingProfs, which drew 1,015 marketers, points the same direction. Among the teams that got more effective, 40% credited measurement and reporting, and 33% of marketers still rank measuring content effectiveness among their top three challenges. On the consumer side, Kantar's 2026 outlook says plainly that likes, views and engagement aren't meaningful outcomes, and that ROI and brand-building metrics are the benchmarks that count.

My own habit is to lead with efficiency before scale. I have driven a 30:1 return on Google spend for one client and a 7.5 ROAS on another client's Google Shopping store, against an industry average of 2.87, and $3.03 per conversion on a podcast campaign where the benchmark ran between $10 and $40. Weekly tests on creative and landing pages added 33% to online sales, and at Crystal Art Gallery multi-touch attribution showed us which channels deserved the next dollar. None of that came from a bigger budget. It came from asking every week what the data said, and having the nerve to move money when it said something uncomfortable.

I also care about how a number is built. Platforms grade their own homework, so I like a second source such as GA4, and I want the method written down beside the figure so anyone can repeat it. When something can't be measured yet, I say so and keep it off the page. People tend to trust the leader who tells them where the numbers stop.

Word of mouth is still king. A post can spike and be gone by Friday, while a relationship keeps working long after anyone remembers the post.

Anything that goes viral gives people a quick hit of dopamine. They enjoy it, share it and forget it. Word of mouth is steadier, because it grows slowly, it holds, and it brings people who already trust you. The research agrees on both sides of the market. In a survey of 101 B2B SaaS CMOs, word of mouth was the top-ranked factor in getting a vendor considered, at 42%, while cold outreach ranked first for just 2%, and 65% of those CMOs begin their vendor search in peer communities. For everyday shoppers, Nielsen's global trust research found that 88% trust recommendations from people they know above every other kind of marketing message.

I've seen it in my own work. I have built Discord communities and Facebook groups where people arrived for the brand and stayed for each other, and those members never needed another post from us. They told their friends. That is why I put relationships and community first and use content to give people something worth passing along.

We scroll past hundreds of short stories a day, feel something for a moment and forget most of them. A story only sticks when it belongs to somebody.

That is why I build communities where other people tell their own story. When members describe what a brand did for them, the brand gains advocates, influencers and thought leaders who carry the message further than any campaign could, and the story arrives with a face on it. It holds in B2B as well. Edelman and LinkedIn's B2B research found that more than 40% of B2B deals stall because the buying group isn't aligned, and that people who aren't the visible decision-makers can become strong advocates for newer brands. Somebody has to tell your story in the room you aren't in.

The consumer data says the same thing, and it matters more as AI content multiplies. In one survey, nearly 83% of consumers said they had watched a video they suspected was AI-generated. Asked what they want from brand video, 43% named feeling personal and authentic as the most important quality, and about 68% wanted to see real people. A review of 35 studies on AI-generated marketing found that perceived authenticity is the main factor in whether people trust the content.

I use AI to speed up drafts, edits and analysis, and I keep a person in charge of the story. People can tell the difference, and so do the results.