Stop Reacting. Start Predicting.

How the 70/30 rule helps thought leaders set trends rather than chase them.

Every Monday morning, thousands of executives open LinkedIn, scroll through what everyone else posted over the weekend, and think: “I should say something about that too.” That’s how the cycle begins, and it’s a familiar one. You spot a trending topic, write something adjacent to it, post it, collect a few likes, and feel productive for an hour or two. Then Tuesday rolls in, and someone else posts a sharper take on the same idea. By Wednesday, the conversation has already moved on, and by Friday, your post is buried somewhere in the feed while you’re back to scrolling for the next wave to ride.

This is what reactive content looks like, and most executives live here permanently.

Reactive content has its place. Tips, announcements, responses to industry news, the stuff that shows you’re paying attention and keeps you in the conversation. The trouble starts when reactive content becomes the entire strategy, because you’re then competing with everyone else who saw the same headline and took the same view.

The leaders who build genuine authority work on a different timeline. They talk about what’s coming before it arrives.

That’s Predictive Positioning, and it changes everything your audience perceives about you.

The difference shows up clearly in practice. A reactive post says: “AI is transforming how we work.” A predictive post says: “In 18 months, your mid-level managers are going to face a trust crisis because their teams won’t know which decisions were made by humans and which were made by machines. Here’s what to watch for.”

One reads like a LinkedIn caption, while the other reads like someone who has been paying close attention to where things are heading.

The 70/30 ratio is the framework I teach to keep this balance in check. Seventy percent of your content should be predictive, which means you’re naming problems your audience hasn’t fully articulated yet, connecting the dots between what’s happening in the market and what it means for real people, and being the person who says “here’s what nobody’s talking about” and turns out to be right about it.

The other thirty percent is your reactive content: your tips, your how-tos, your “here’s what I learned this week” posts. They round out your presence and make you feel accessible, though they sit at the edges of your strategy while predictive content holds the center.

So how do you create predictive content? You start by paying attention differently.

There are three sources I come back to again and again.

First: conversations. Pay attention to what your clients, colleagues, and industry contacts say when they’re being honest with you. The complaints that keep surfacing across different conversations and the questions that don’t have clear answers yet are signals worth tracking.

Second: patterns. Look at what’s happening across multiple industries, companies, or roles that point to a bigger shift. When you notice the same friction showing up in three different contexts, that’s a prediction waiting to happen.

Third: friction. Notice where people are struggling and blaming themselves instead of the system, or where the workarounds are getting more creative because the existing solution stopped working. Friction is one of the most reliable places the future hides before it announces itself.

Once you start tracking these, you build a Problem Bank, which is exactly what it sounds like: a running list of problems you’ve noticed that your audience will eventually face. Some are already happening quietly, while others are six or twelve months away from showing up at scale. When you name them first, you own the conversation around them.

I had a client who spent months posting about leadership best practices. Her content was well-written and consistent, and completely invisible because everyone else’s leadership content was, too. When we shifted to predictive positioning, she started writing about one very specific problem: the disconnect between how companies talk about flexibility and how middle managers are being evaluated behind closed doors. Within two months, she had three inbound speaking requests and a podcast invitation, all because she changed her positioning while keeping the same expertise.

This feels uncomfortable at first. Predictive content requires you to have a point of view before you have proof, which means you’re saying “I think this is where things are going” before the data confirms it. The vulnerability is exactly where the power lives.

Reactive content keeps you safe because nobody argues with a tip and nobody pushes back on a how-to, and that safety comes at the cost of being forgettable.

Predictive content stakes a claim, and some people will disagree with the claim you’ve made, which is part of why it works. The posts that generate genuine engagement, that spark conversations and build authority, are the ones where you said something before everyone else caught up to it.

Check your last ten posts right now. How many were reactive, and how many predicted something your audience hadn’t named yet? If you’re skewing heavily reactive, you’re blending in, and blending in is one of the most expensive things a leader can do on LinkedIn.

The 70/30 ratio gives you flexibility, so some weeks will lean more reactive than others. Launch weeks, event recaps, and industry news that genuinely call for your response are all reasonable exceptions to the ratio. What matters is your default mode: lead the conversation by making predictive content the center of your strategy, while reactive content fills in around the edges.

Start tracking it this week. Before you hit publish, ask yourself: Am I responding to something, or am I starting something? That question alone will change the kind of content you create.