Every Metric Is a Signal. What They Actually Mean and How to Use Them.

I watched a content creator with three times my following launch her first offer last year. Talented storyteller, thousands of likes, thousands of views, real comments. By every visible metric, she had an audience.

She launched a program teaching businesses how to storytell. Zero buyers. Not a slow launch. Zero.

Her metrics hadn't lied. She'd built her following around faith-based, identity-driven content, beautiful and deeply personal. When she pivoted to "I'll teach you business storytelling," the audience that loved her content had no reason to buy. The signal had been accurate the whole time. She'd just been attributing it to the wrong thing.

I'm what I'd call a recovering growth marketer. I can't unsee the funnel. When I look at a Reel, I'm not seeing "did this perform well." I'm seeing which part of the trust-building process it's actually feeding, and whether that's the part the creator thinks it's feeding.

That lens is what led me to the ARC framework, which measures three components of trust: Memory, Familiarity, and Intent. Your Instagram metrics map directly to these. None of them are vanity. A like isn't meaningless. It's just not measuring what most people think it's measuring. The danger isn't in the metrics. It's in misreading what each one represents.

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Follows are curiosity. A door opening, not a handshake.

A follow is someone saying "I want to see more." They haven't decided if they like you, trust you, or would ever work with you. Byron Sharp, author of How Brands Grow, calls this mental availability: the probability that someone will think of your brand in a buying situation. A follow doesn't give you mental availability. It gives you a shot at building it.

That content creator? Her follower count was the number that made everything look like it was working. Three times my following. But followers measure curiosity, not trust. I've nearly caught up to her follower count now, but the difference in what those followers do is everything.

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Likes are claps. Genuine, just fleeting.

Daniel Kahneman's Thinking, Fast and Slow showed that up to 95% of our daily cognitive activity is System 1: fast, automatic, effortless. A like is pure System 1. Quick test: go to your own liked posts and scroll back two weeks. How many do you remember?

That content creator was pulling thousands of likes on faith and identity content. Every one was genuine appreciation. But when she launched a business storytelling program, all those claps didn't convert, because appreciation and buying intent are different signals.

If likes are high and everything else is flat, that's not a bad sign. It's a useful one. The question is whether the content underneath is giving people a reason to do something more than clap.

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Comments are claps and boos. The only metric that can go negative.

A like can only mean yes. A comment can mean anything: "this changed how I think," "totally disagree," or a three-paragraph argument. Ten comments could be ten people tagging friends, or ten people telling you you're wrong. Same number, completely different signal.

The simplest read: if your comments sound like the things people say to someone they'd want to work with, that's signal. If they sound like the things people say to someone they'd want to argue with, that's also signal. Just not the kind most founders are optimizing for.

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Saves are a micro-investment. This is Memory.

When someone saves your post, they're saying "I need this later." That's a fundamentally different action. A save costs effort. They're telling you this content has utility beyond the moment.

Research from Thomas Graeber at Harvard quantified something content creators feel intuitively: statistics lose roughly 73% of their persuasive effect within a single day, while stories lose only about 32%. People save value: frameworks, processes, ideas worth referencing. But value wrapped in story is what actually persists in memory after they come back to it.

High saves with lower likes is actually one of the more encouraging patterns. It means your content isn't designed to be popular. It's designed to be useful. And useful is what people remember when they need to hire someone.

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Shares are an identity signal. This is Familiarity.

When someone shares your content, they're not just endorsing it. They're using it to say something about themselves. Jonah Berger's Contagious calls this Social Currency: people share things that make them look good. His research also found that word-of-mouth drives 20-50% of all purchasing decisions, more persuasive than advertising because people trust peers over brands.

The thing that separates shares from saves is emotion. People don't tend to share tips. They share things that make them feel seen. Brené Brown's two decades of research found that vulnerability is the birthplace of connection, and connection is what people share. The content people forward to their friends is almost never the most polished piece. It's the most honest one.

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DMs, inbound, and referrals. The most meaningful metrics, and the hardest to track.

Intent, the third ARC component, lives mostly in places Instagram doesn't measure for you. When someone DMs you asking how to work together, that's Intent. When someone shows up to a sales call already sold, that's all three components compounding. And none of it shows up in your insights tab.

There's no native dashboard for this. You have to build the tracking yourself: a spreadsheet, a CRM field, a "how did you hear about us?" question on your intake form. Chris Walker, founder of Refine Labs, implemented that single question across more than 100 B2B companies and found that 97% of net new revenue traced back to dark social: communities, podcasts, DMs, word of mouth. The channels that drive the most revenue don't show up in any dashboard.

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What it looks like when the framework comes together.

I tested this with my own ARC launch Reel. I opened with vulnerability (I used to be terrible at storytelling), built Memory through a framework worth saving, created Familiarity by being human instead of polished, and tied the CTA directly to the story. Over 2,000 people organically registered for the webinars. Compare that to the content creator with three times my following who launched to zero. Same platform, different design intent, opposite results.

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So what do you actually do with this?

If saves are low, it might be a Memory gap. People save things they need to reference later: frameworks, processes, points of view worth coming back to. Pure stories without value rarely get saved. But pure value without story fades fast. The combination is what sticks.

If shares are low, it might be a Familiarity gap. Give people something to feel, not just something to file.

If DMs and inbound are low, it might be an Intent gap. End your content with a specific invitation. Not "link in bio." A sentence that tells people exactly what to do next.

And if likes are high but everything else is flat, the first impression is working. The question is whether the substance underneath is converting that recognition into trust.

Every metric is signal. The shift is learning which signal maps to which part of the trust-building process, and being honest about which part needs the most attention right now.

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