Top Tweets for #MaxDiff
Intentional portfolios win. 📈
Optimizing reach strengthens deposits and relationships.
Is your checking portfolio built on data… or habit?
Start here:
https://t.co/X9CB7eBYhQ
#NeckUpLeaders #BankGrowth #StrategyExecution #MaxDiff
Customers don’t buy features.
They buy bundles. 🎯
When was the last time you redesigned your full checking bundle — not just added to it?
See the research:
https://t.co/X9CB7eBYhQ
#NeckUpLeaders #BankStrategy #ProductStrategy #CommunityBanks #MaxDiff
More features ≠ more reach. 📉
The smallest strategic bundle reached 97.87% of the market.
If you removed one feature tomorrow… would anything really change?
Learn more:
https://t.co/X9CB7eBYhQ
#NeckUpLeaders #BankStrategy #ProductStrategy #CommunityBanks #MaxDiff
It’s optimize what matters. 💡
Data beats habit.
Clarity beats complexity.
Is your checking strategy built on insight… or inertia?
Start here:
https://t.co/X9CB7eBYhQ
#NeckUpLeaders #StrategyExecution #LeadershipClarity #MaxDiff
“No monthly fees” isn’t just popular.
It dominates. 🏆
27.15% utility. Clear winner.
What does your team think matters most?
See the full research:
https://t.co/X9CB7eBYhQ
#NeckUpLeaders #BankStrategy #CustomerInsights #MaxDiff #CommunityBanks
Stop adding.
Start optimizing. 💡
MaxDiff replaces assumption with defensible prioritization.
Have you forced the tradeoffs?
Explore the findings:
https://t.co/X9CB7eBYhQ
#NeckUpLeaders #StrategicClarity #MaxDiff #CommunityBanks
If every feature is “important”… none of them are. 🤯
Traditional surveys inflate scores.
Tradeoffs create clarity.
When did you last force real choices?
Learn more:
https://t.co/X9CB7eBYhQ
#NeckUpLeaders #BankStrategy #MaxDiff #LeadershipClarity #CommunityBanks
How Data Researchers Use MaxDiff to Get Smarter Market Insights #MaxDiff #MarketResearch #DataAnalysis #CustomerInsights #SurveyTools
Doubling down on when to use MaxDiff + TURF vs. Token-Based Conjoint (TBC) - this time with some case studies 🤓
#MaxDiff + #TURF Case Study (Coverage)
Imagine you are a tech company and you are planning to go to market (hashtag#GTM) with a new wearable device. You want to understand which third-party (3P) app integrations need to be prioritized for integration SO THAT people will purchase your device. You have over 80 apps under consideration and you need to focus partnership and dev efforts on:
✅ having the most preferred apps available
✅ making sure you have something for everyone
This is a perfect MaxDiff + TURF problem:
-MaxDiff tells you what’s most preferred overall
- TURF helps you build the lineup that maximizes incremental reach (i.e., something for everyone)
#TBC Case Study (Conversion)
Imagine you are a tech company and you are planning to go to market (hashtag#GTM) with a new monthly subscription offering. You want to understand which 4-6 member benefits need to be prioritized SO THAT people will subscribe. You have 40 potential benefits on the table and you need to focus dev and marketing efforts on:
✅ building the strongest combination of 4–6 benefits that drives adoption
✅ understanding how intent changes as the bundle grows (2 benefits vs. 4 vs. 6)
This is a perfect Token-Based Conjoint problem:
- TBC tells you what people choose when they can’t pick everything
- TBC shows whether the bundle is actually enough to convert (and when adding more stops helping)
So, before choosing the method, start with the why!
Are we optimizing for coverage… or for conversion?
Hope this helps make the choice a little clearer 🤓
Feeling spicy 🌶️ during this cold week 🥶 so here's another nerdy take from me 🤓 - All push back and comments welcome!
#MaxDiff + #TURF have been the tried-and-true approach for years when teams need to prioritize claims, benefits, or features. And as the (self-crowned) queen of MaxDiff 👑 🤣 I know why! It’s really great for answering:
“How do we make sure there’s something for everyone?”
But lately I've been having a lot of conversations where the real business question isn’t reach or breadth it's...
“What’s the best combination of things to say together to actually drive purchase?”
And that is what makes Token-Based Conjoint (#TBC) so powerful!
It can tell you the best 1 claim, 2 claim, 3, 4, 5, 6 claim bundle AND how purchase intent changes as you add more claims to the bundle.
And we know that for some consumers (think "enthusiasts / early adopters") we might not need to offer too much to drive conversion. They'll subscribe with 1-2 strong benefits. But for others (think "pragmatics / skeptics / late adopters"), they might need more reassurance...and even then you still might not win them!
TBC is built to answer:
- If you only got 1 benefit, would you subscribe?
- If you get these 3 together, how much does intent jump?
- When do extra benefits stop helping and just start getting more expensive for you to offer?
MaxDiff + TURF - while fabulous - just can't answer that conversion question in the same way.
My rule of thumb?
👍If the job is to maximize how many people see something they like → TURF
👍If the job is to optimize the story the pack (or offering) tells under constraints → TBC
TL;DR
TURF = coverage / breadth
TBC = conversion / depth
The screenshot below shows you "how" we capture TBC data.
Want to learn more about TBC? Check out the recording of our webinar at the link here https://t.co/SIUDFbmMxN
Feeling spicy 🌶️ during this cold week 🥶 so here's another nerdy take from me 🤓 - All push back and comments welcome!
#MaxDiff + #TURF have been the tried-and-true approach for years when teams need to prioritize claims, benefits, or features. And as the (self-crowned) queen of MaxDiff 👑 🤣 I know why! It’s really great for answering:
“How do we make sure there’s something for everyone?”
But lately I've been having a lot of conversations where the real business question isn’t reach or breadth it's...
“What’s the best combination of things to say together to actually drive purchase?”
And that is what makes Token-Based Conjoint (#TBC) so powerful!
It can tell you the best 1 claim, 2 claim, 3, 4, 5, 6 claim bundle AND how purchase intent changes as you add more claims to the bundle.
And we know that for some consumers (think "enthusiasts / early adopters") we might not need to offer too much to drive conversion. They'll subscribe with 1-2 strong benefits. But for others (think "pragmatics / skeptics / late adopters"), they might need more reassurance...and even then you still might not win them!
TBC is built to answer:
- If you only got 1 benefit, would you subscribe?
- If you get these 3 together, how much does intent jump?
- When do extra benefits stop helping and just start getting more expensive for you to offer?
MaxDiff + TURF - while fabulous - just can't answer that conversion question in the same way.
My rule of thumb?
👍If the job is to maximize how many people see something they like → TURF
👍If the job is to optimize the story the pack (or offering) tells under constraints → TBC
TL;DR
TURF = coverage / breadth
TBC = conversion / depth
The screenshot below shows you "how" we capture TBC data.
Want to learn more about TBC? Check out the recording of our webinar at the link here https://t.co/SIUDFbmMxN
#FelizViernesATodos
📊 MaxDiff ordena prioridades mejor que escalas 1–5: más discriminación, menos empates.
Diseña bloques balanceados y segmenta por perfil.
#MaxDiff #Insights
🧠 Want to know what truly drives consumer decisions?
MaxDiff and Conjoint Analysis go beyond surface opinions—revealing real preferences through simulated, real-world choices. 🔍💡
https://t.co/4cjYzr1pvz
#ConsumerInsights #MaxDiff #ConjointAnalysis
"🧠 Dive into how people really make decisions!
MaxDiff & Conjoint Analysis help uncover true consumer preferences by simulating real-world choices. 🔍💡
https://t.co/4cjYzr1pvz
#MaxDiff #ConjointAnalysis #ConsumerInsights #AdvancedAnalytics #ParadigmSample"
Predicting the IPL Winner with Our Custom MaxDiff Model, powered by a newly developed algorithm we call Predictive Max-Diff.
Stay tuned as we reveal more about this powerful technique.
#PredictiveMaxDiff #IPL2025 #CricketPredictions #MaxDiff #InnovationInResearch #KnowledgeExcel
📢 Post 3 IPL: Behind the Scenes – MaxDiff Technique in Action
🎯 Not all IPL moments are equal, some thrill us more than others. Stay tuned for a special twist in our MaxDiff customization that takes IPL prediction to the next level!
#MaxDiff #CricketSurvey #IPLInsights
What's segmentation in #MRX?
KChrzan @SawtoothSoft
"places respondents ➡️ groups so they're similar within a group & dissimilar in diff groups"
✔️ #MaxDiff or Q-sort work better than nonbinary rating scales
✔️auto-select vars using #R OR unsupervised #RandomForest
🙏@MRII_Learn
Too many features, too little clarity?
#MaxDiff breaks down customer priorities—helping brands:
✔️ Focus on the most valued features
✔️ Streamline choices
✔️ Drive ROI
Ready to simplify decision-making? 📊
🎁 Get the FREE Max Diff guide:
🔗 https://t.co/bI5e7nbeoj
📢 ANNOUNCEMENT: MaxDiff Masterclass – From Basics to Breakthroughs! 🚀
🚀 Stay tuned - Day 1 drops on 19.02.2025, Wednesday!!
#MaxDiff #BestWorstScaling #DataDrivenDecisions #SurveyInnovation #AIinResearch #ConsumerInsights #MaxDiffMasterclass #innovation #knowledgeexcel
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