Four years ago, we were first to bring synthetic data to the market research industry.
Building a company that changes an industry is rarely a straight line.
We had to fight for years just to get leaders to believe it was possible. We spent years proving that we could simulate survey responses with statistical and AI models.
It was extremely hard. So many doors kept closing.
Fast-forward to today, and our synthetic boosting approach is used by @Ipsos , CINT, @DynataGlobal ,
@IfopOpinion , and 20 more data/insight providers to provide value to the largest brands in the world, from @LOrealGroupe , @TMobile , @Google, to @Accor and countless more.
In reflection, I believe the main reason why we were able to get to the adoption from historic leaders of the space is our absolute transparency on the capabilities and risks of these methods, and the continuous collaboration with experts of the fields from these companies.
We pulled through. And today, we are making our second big contribution to the field.
While the cost of research is often a problem, time-to-insight is the real killer. Waiting weeks for data means decisions get made blindly.
Today, we are launching Fairgen Twins.
We believe we've found the right approach to building digital twins of customers, employees, and prospects.
We don't build generic "US 18+" digital twins. We build "US 18+ Soft Drink Consumer”, “CFOs of fast-growing companies”, “Power-users of SaaS tools” digital twins.
Each twin is built 1-to-1 from real people. We collect incredibly deep data at the category level—demographics, psychographics, behavioral, attitudinal, clickstream, and transactional data. We know their specific attitudes toward the category before you even ask a question.
We believe this is the only right approach to accuracy.
These twins are built upon primary and secondary data from our amazing partners on this venture: @emporiaresearch, @appinio, @wearebigvillage (Bright Mountain), and many more leading insight providers we'll announce one by one in the coming days.
We're building the future of directional research. Message me if you want in.
@hive_ai This is very wrong, most of the content is motion-designed/real videos from the web :)
probs need more tuning.
Also music was generated with @suno and speech with @ElevenLabs
We've built the first AI Chief Insights Officer.
Every brand has optimized for visibility. SEO, GEO, paid media. billions spent on showing up.
Nobody optimizes for the moment they're actually chosen.
That's the gap. And that's what we built Fairgen Twins to close.
We run 100,000 real interviews a month. One person, one topic, one twin. Each becomes a 1-to-1 digital twin of a real consumer. Pick the exact segment you need. Test pricing, concepts, ads. Ask them why. Full analysis deck in 20 minutes.
@LOrealParisUSA, @TMobile, @Accor, @saintgobain, and many more have been running on our synthetic models for four years. Now it's available to everyone.
Fairgen is lucky to be built alongside leaders across statistics, BD, marketing, and consulting, cc @eric5555, @skasriel, @amarmic, @BennySchnaider, @jbretcha@alvarodrigueza. Thank you.
Stop swapping guesses for gold. Build what they actually want, first time.
https://t.co/xvcGLNBELB
@anujcodes_21 Also the right question to ask, requires collecting data (interviews, surveys, transactions, etc...) on a daily basis in order to make sure they're always fresh!
Costly but necessary...
Tried to boost my quarter today.
Asked Claude to act like Fable 5 and find me $2M in ARR this month.
It refused. Not because it lacked the strategy. Because it lacked the jurisdiction.
Turns out the one model that could pull off the stunt got geo-restricted in my region this week, and Opus 4.8 has too much integrity to do an impression of it.
So my pipeline is now being protected by two things: a model's refusal to pretend, and an export policy.
Anyway. Anyone know a good incorporation lawyer in Delaware.
GEO is only part of the conversion story. Also, being seen is a vanity metric.
SEO, GEO, paid media — the whole industry optimizes for the moment you show up. Nobody optimizes for the moment they choose.
That's why we've launched Fairgen Twins: the consumer simulator.
We run 100,000 real interviews a month — ten minutes average, one topic per interview. One person is turned into One twin. Each one becomes a 1-to-1 digital twin. Pick hundreds of twins in your exact category. Test pricing, products, concepts, ads. Ask them why. Full analysis deck in 20 minutes, not 2 weeks.
Teams at @LOrealParisUSA , @TMobile , @Accor , @saintgobain , and so many more have been using our synthetic models over the last four years, now it's in all of your hands.
Fairgen's lucky to be surrounded by leads of their respective spaces, from statistics, to business development, marketing, consulting, and many other areas (cc, @eric5555 , @skasriel , @amarmic , @BennySchnaider, @jbretcha), and I'd like to thank them for this.
Stop swapping guesses for gold. Build what they actually want — first time.
@drinkpoppi understood something a lot of wellness brands still miss:
people do not always want their better choices to feel serious.
A lot of better-for-you products are built around restraint: less sugar, less guilt, less of the thing you actually wanted. poppi did the opposite. It made a healthier soda feel like soda again: bright cans, big flavor, social energy, and a functional benefit that did not make the product feel clinical.
That is why the story is bigger than prebiotics or low sugar.
The real insight was permission: permission to drink soda without feeling like you were making the wrong choice.
And this is where consumer research gets interesting. The first answer might be “people want healthier soda.” The better follow-up is what would make healthier soda feel like something people actually want to drink, carry, post, recommend, and buy again.
That is why we built https://t.co/xvcGLNBELB around simulated consumers: not to replace research, but to keep asking the audience better follow-up questions while the decision is still live.
What other brand has made the “better” choice feel like the more desirable one?