Premium features don't always justify high pricing.
One client planned to launch at a premium price point, certain their features would support it.
Conjoint analysis told another story. At their planned price, revenue would've tanked.
Optimization prevented a major mistake.
You've sized the market and prioritized what matters.
Now the question: which features, pricing, and packaging will maximize adoption AND revenue?
Conjoint analysis gives you outcomes grounded in customer behavior, not guesswork.
@MeganPeitz breaks down why this matters.
Dozens of features. Too many ideas. Zero alignment.
One team wanted to move fast, but couldn't.
MaxDiff revealed three clear winners, giving them permission to narrow focus and deprioritize the rest.
Data came from customers, not stakeholders.
Watch how the deadlock broke
Strategy is as much about what you DON"T do as what you do.
Prioritization research determines which features should lead in development, which benefits drive consideration, and which messages encourage adoption.
@MeganPeitz breaks down why trade-offs matter
It's π Day!
Some of the most elegant ideas come from something that looks chaotic initially.
π goes on forever, yet perfectly describes every circle.
That's how good research works. Add rigor, and messy human behavior starts to make sense.
Happy π Day, fellow data nerds!
Sustainability is trending. Pivoting feels like a no-brainer.
Until market sizing shows the truth.
One brand almost made a costly mistake, chasing loud voices instead of market reality.
Megan Peitz shares what happened and how market sizing helped them avoid a brand crisis.
Is the opportunity meaningful? Whom should we target?
Before you invest in product development, answer these two questions. That's what market sizing does.
@MeganPeitz explains TAM, SAM, and SOM, and where most teams go wrong.
See what investors and leaders are looking for
Beautiful strategy. Wrong market.
Most founders know they need research before launching. The hard part? Knowing which research actually matters.
@MeganPeitz breaks down the framework that separates successful launches from misses — and what goes wrong when you skip a step. ⬇️
From a $56 Billion TAM to $617 Million SOM.
That's what happens when you apply realistic filters to a market opportunity.
@MeganPeitz walks through the TAM → SAM → SOM funnel, showing how to transform a massive market into an achievable launch target.
See it in action.
You've calculated your TAM SAM SOM. Now what?
Most teams stop at the numbers, but the real value comes from using them to drive decisions.
From securing funding to aligning resources with realistic demand, @MeganPeitz explains how to turn market sizing into action.
Watch now
The biggest market sizing mistake isn't about the math.
@MeganPeitz breaks down the top three mistakes that hurt your credibility (and the one question leadership will always ask when you present TAM SAM SOM numbers).
Watch what to avoid ⬇️
Bots. Speeders. Click farms. Duplicate entries.
If you're not building data quality checks into your survey, you risk making decisions on flawed data.
@MeganPeitz shares the checks Numerious uses to reveal whether you have a programming or fraud problem.
See what to watch for.
Companies use conjoint analysis to avoid product cannibalization. But sometimes you actually want it.
Tesla launched the Model 3 knowing it would steal buyers from the Model S to dominate the EV market.
The difference? Intentional cannibalization with goals.
Link in comments.
All your competitors are A/B testing. But you shouldn't stop there.
A/B testing optimizes after the fact. You never know if you started right.
What if you could test 20-30 ideas before launch?
MaxDiff and Conjoint validate creative directions before market. Link in comments.
⏱️ After 20 minutes, your survey data starts to degrade.
Open-ends shrink to single words. Answers lose variation. Drop-offs spike. Those later questions? Often the least reliable.
@MeganPeitz explains why a focused 15-minute survey beats a 25-minute one every time.
TAM, SAM, SOM in 60 seconds.
If you've presented market sizing to leadership and gotten "okay, but what can we capture?" this framework is for you.
@MeganPeitz explains what each metric means, why you need all three, and the difference between vision, focus, and reality.
Internal assumptions. Maybe some qual interviews or focus groups.
That's how most positioning work gets done. But it's not enough to know what's driving customer choice.
We use MaxDiff and Conjoint to show what matters and which combinations win before you spend. Link below.