Here's what happens in most strategy meetings:
Someone pulls up a slide. "Instagram engagement is up 12%."
Everyone nods.
Someone else chimes in. "TikTok views are at 500K."
More nods.
Meeting adjourned. Everyone feels productive.
But here's the problem: nobody found an insight. They just reported numbers.
Hey there, welcome back to What The Data Said.
Let me tell you what an insight actually is – because most people don’t really know.
An insight isn't a number. It's not a metric. It's not even an observation.
An insight is a discovery that fundamentally changes how you understand something and tells you exactly what to do about it.
"Engagement is up 12%" is a stat.
"Engagement is up 12% on Reels but down 40% on carousels because Instagram's algorithm changed – so we should shift 60% of our content budget from static posts to video" is an insight.
See the difference?
Real insights answer two questions: WHY did this happen, and WHAT should we do about it?
Today, I'm breaking down the framework I use to spot real insights – the kind that change strategies, inform decisions, and actually move the business forward.
I call it the 3 C's: Contrast, Context, and Consequence.
Let's get into it.
In This Issue:
What Actually Is an Insight? – And why most people get it wrong
The 3 C's Framework – Contrast, Context, Consequence (your litmus test)
What Actually Is an Insight?
An insight is a discovery that changes your understanding and informs your next action.
Not a number. Not a fact. Not an observation.
A discovery that fundamentally shifts how you see something and tells you what to do about it.
What Insights Are NOT
Insights are not:
Reporting metrics ("We got 10K followers this month")
Stating observations ("Our audience is mostly women")
Listing performance ("This campaign got 500K impressions")
Describing what happened ("Engagement dropped in Q3")
These are all valuable pieces of information. But they're not insights.
What Insights ARE
Insights are:
Explanations of WHY something is happening
Comparisons that reveal meaningful differences
Conclusions that lead to specific actions
Discoveries that challenge assumptions
Here's the test:
If someone hears your "insight" and their response is "okay... so what?" – you don't have an insight. You have a data point.
If their response is "oh shit, we need to change our strategy" – now you have an insight.
How People Actually Leverage Insights
When you find a real insight, here's what happens:
Strategists use insights to:
Shift budget allocation
Change content strategy
Identify new opportunities
Deprioritize underperforming tactics
Creatives use insights to:
Understand what resonates with the audience
Develop content that aligns with actual behavior
Stop making things nobody wants
Executives use insights to:
Make high-stakes decisions with confidence
Understand market shifts before competitors
Allocate resources strategically
Agencies use insights to:
Win pitches by showing understanding, not just data
Provide value beyond execution
Position themselves as strategic partners
The common thread? Real insights change behavior. They don't just inform – they transform.
The 3 C's Framework: Your Litmus Test
Here's the framework. If you can't answer all three C's, you don't have an insight yet.
This is your litmus test. Every time.
C #1: Contrast
What it is: A comparison that reveals a meaningful difference
The question you're answering: Compared to what?
Data doesn't mean anything in isolation. "Our engagement rate is 5%" – is that good? Bad? Average? You have no idea until you compare it to something.
This is where most people stop. They report a number and move on. But without comparison, you're not analyzing. You're just counting.
What to compare to:
Your past performance (month-over-month, year-over-year)
Your competitors
Industry benchmarks
Different platforms, audience segments, or content types
The difference between data and contrast:
❌ Data: "Our skincare content performs well."
✅ Contrast: "Our skincare content averages 8% engagement, while our fitness content averages 3%. Skincare outperforms by 2.6x."
C #2: Context
What it is: The explanation for WHY the contrast exists
The question you're answering: Why is this happening?
Okay, you found a difference. Now explain it.
This is where most people either make assumptions or just skip it entirely. They see the contrast and call it done. "Engagement is down 20%!" Cool. Why?
Without context, you're just pointing at numbers and hoping someone else figures out what they mean.
What context looks like:
Platform algorithm changes
Seasonal patterns
Audience behavior shifts
Content format changes
Competitor moves
External cultural moments
The difference between contrast and context:
❌ Contrast without context: "Our audience is asking about skincare 3x more than fitness."
✅ Context added: "Our audience is asking about skincare 3x more than fitness. This shift started when we posted a skincare routine that went viral (2M views). The audience has been seeking skincare content ever since."
Why this matters:
Context is the difference between "something changed" and "here's WHY it changed."
And if you don't know why it changed, you can't make smart decisions about what to do next. You're just reacting blindly.
C #3: Consequence
What it is: The specific action you should take based on the contrast and context
The question you're answering: So what should we do about it?
This is the most important C. And it's the one people skip most often.
You've identified the difference. You've explained why it exists. Now tell me what to DO.
Without this, your insight is just trivia. Interesting, sure. But useless.
What consequence looks like:
A specific recommendation ("Shift 60% of budget to Reels")
A strategic change ("Deprioritize fitness content, double down on skincare")
A partnership opportunity ("Pitch Brand X with this proof of organic affinity")
A course correction ("Pre-approve a trend framework so we can move in 24 hours instead of 7 days")
The difference between context and consequence:
❌ Context without consequence: "Our audience asks about skincare in 40% of DMs, significantly higher than other categories."
✅ Consequence added: "Our audience asks about skincare in 40% of DMs, significantly higher than other categories. Prioritize skincare brand partnerships. Create a recurring skincare series to capture demand."
Why this matters:
Consequence is the difference between "interesting observation" and "strategic direction."
If your insight doesn't lead to action, it's not doing its job.
TLDR: This Is Your Litmus Test
Stop reporting numbers. Start finding insights.
Here's your litmus test – the 3 C's:
✅ Contrast – What are you comparing this to? (past performance, competitors, benchmarks, platforms)
✅ Context – WHY is this difference happening? (algorithm, audience shift, seasonality, external factors)
✅ Consequence – WHAT should we do about it? (specific, actionable recommendations)
So here's your litmus test. If you can say:
"We assumed X" – that's your contrast
"But the data shows Y" – that's your context
"Which means we should do Z" – that's your consequence
If you can't answer all three, you don't have an insight yet. You just have information.
The reality? Anyone can report numbers. The people who get promoted, who get listened to, who actually move strategy? They turn numbers into insights. They answer "so what?" before anyone has to ask.
Be that person.
Until then, use the 3 C's as your litmus test for every data point you're about to share. And when you find an insight that changes your strategy? Tag me on LinkedIn. I want to hear about it.
That's what the data said this week.
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