meal kits · functional beverage
AG1 vs Liquid IV Creators (2026), Who Fits Which Roster
Why AG1-style brands need different creators than Liquid IV-style. Audience cuts, named picks, fit math.
Catherine Gregory, a wellness and nutrition YouTube channel with 120K subscribers, has run 51 paid deals across AG1 and LMNT in our deal log, with the latest dated April 2026.
AG1 is the greens powder once sold as Athletic Greens.
LMNT is a hydration drink mix.
Her average video pulls only 55K views, so she is not the biggest name we track.
She is one of the most-booked, and that gap is the whole point of this post.
A founder messaged me last week asking why their Liquid IV pitch kept stalling while their AG1 pitch flew.
The short answer is that the two brands do not need the same creator.
The longer answer follows.
Glossary on first mention. DTC means direct-to-consumer, a brand that sells straight to the shopper. CAC means customer acquisition cost, the price to win one buyer. CPM means cost per thousand views. Functional beverage means a drink sold for a health benefit, like greens powder or hydration mix.
I sat on this post for two months because the functional beverage version of the fit question is the one operators get wrong on the first roster.
The cost is not a wasted ad spend.
It is a creator whose audience never builds the daily habit your product depends on.
Across the deals we track, AG1 has run 1,239 paid posts with 545 creators while Liquid IV has run 129 posts with just 32 creators. The bookable roster for each brand looks nothing like the other, which tells you the two products buy different audiences.
The fit question most functional beverage brands skip
The fit question is not how big the channel is.
It is whether the audience already keeps a daily habit your product slots into.
AG1 is a morning routine drink, so it needs creators whose viewers think in daily rituals.
Liquid IV is a hydration fix for travel, workouts, and hot days, so it needs creators whose viewers think in moments.
Most brand teams pick by follower count and skip this cut.
Catherine Gregory proves the cost of skipping it.
She sits at 120K subscribers, far below the 1.25M average subscriber count across AG1 creators in our log.
She still ran 51 paid deals because her audience treats wellness as a daily habit, and that habit is what turns one ad into a repeat booking.
The four audience cuts that actually matter
We score every functional beverage creator on four cuts before a roster goes to a brand.
Daily-habit fit is first.
Fitness intent is second.
Travel or lifestyle context is third.
Reach is a distant fourth.
Daily-habit fit maps to AG1.
Fitness and travel intent both feed Liquid IV, since people reach for hydration around workouts and trips.
Tim Ferriss shows how habit fit travels across brands.
He has run 45 paid deals across AG1, Athletic Greens, LMNT, and MUD WTR at 1.75M subscribers, because his audience builds routines around what he uses.
The bottleneck is daily-habit match.
Raw reach matters far less.
Andrew Huberman carries 7.39M subscribers and 246K average views, and his 31 AG1 and LMNT deals land because his audience is wired to copy his morning stack.
Most functional beverage brands open vetting wanting the biggest wellness name they can afford. Our deal log says the repeat-deal pattern concentrates inside mid-size channels with one clean daily-habit cut. Follower count is a weak first filter.
The creators who fit each cut
Here is how the named anchors line up against the cuts.
For AG1 daily-habit fit, Catherine Gregory and MaxWrist Life both fit.
MaxWrist Life is a watch and lifestyle channel at 250K subscribers.
It ran 25 paid AG1 deals on only 8K average views, because the audience keeps a daily ritual the brand can sit inside.
For travel and lifestyle fit, Gone with the Wynns fits cleanly.
The sailing and travel channel has run 26 paid AG1 and LMNT deals at 704K subscribers and 377K average views, because hydration and greens both ride along on the road.
For high-reach habit fit, Keltie O'Connor anchors the top band.
She has run 36 paid AG1 and LMNT deals and quoted our team $8,000 for one Instagram Reel, the cleanest rate datapoint we hold for this cut.
You do not have to guess which creator fits AG1 and which fits Liquid IV. We have already mapped the past-deal history for every functional beverage name worth looking at, so you skip the trial-and-error quarter.
Pay reach rates for audiences that never build the habitBook a fitness creator for a morning-routine productPick by follower count and miss the daily-habit cut
How to blend the roster
The default blend on a first 12-week pilot is 40 percent daily-habit creators, 30 percent fitness creators, 20 percent travel or lifestyle, and 10 percent crossover.
Crossover means a creator who carries two cuts at once.
The math is simple.
A 10-creator pilot on this blend gives 4 daily-habit names, 3 fitness names, 2 travel names, and 1 crossover name.
At a blended $3,000 to $8,000 per post and 2 posts per creator, the pilot lands near $100,000 over 90 days.
That budget is small enough to learn from and large enough to read signal across cuts.
Sanity check. Would I lose a great creator by ruling out a low-view channel like MaxWrist Life at 8K views?
No.
The contrarian play is to book the habit fit even when the view count looks small, because 25 repeat AG1 deals on that channel beat a one-off slot on a million-view name that never books again.
Linnea & Akela back the same point, with 27 paid AG1 and LMNT deals at 419K subscribers, which is the renewal pattern that tells us a cut actually fits.
When the fit is wrong on paper
MaxWrist Life is the standing counterexample.
A watch channel on a greens-powder roster looks wrong on paper.
It worked because the daily-habit cut matched, and that cut hides inside the wrong vertical more often than wellness brands assume.
The bounded-down test is one named creator, one cut, one 90-day pilot.
The unbounded-up case is a 12-month roster you can run without burning audience trust on a creator whose viewers never adopt the habit.
The wrong call also carries a compliance cost, since a missed disclosure on a health-benefit drink invites a Federal Trade Commission letter that takes months to unwind, which is why we screen every brief before it ships.
FAQ
What audience cut decides functional beverage creator fit on the first roster? Daily-habit fit. AG1 needs creators whose audience builds a morning routine. Catherine Gregory ran 51 paid deals across AG1 and LMNT because her audience treats wellness as a daily habit.
Do follower counts predict functional beverage creator fit? No. MaxWrist Life ran 25 paid AG1 deals at 250K subs and only 8K average views per video, which beats many bigger channels on repeat bookings.
How do I blend a functional beverage roster across audience cuts? We default to 40 percent daily-habit creators, 30 percent fitness creators, 20 percent travel or lifestyle, 10 percent crossover for a first 12-week pilot.
When does a fit that looks wrong on paper actually work? When a non-wellness creator hits the same daily-habit cut. MaxWrist Life is a watch channel, yet it booked 25 AG1 deals because the audience keeps a daily ritual.
How fast can I judge fit on a pilot? 90 days for a clean signal across 3 to 5 creators.
Where We Come In
We run the 4-cut score and the 40/30/20/10 blend for you because the past-deal history, repeat-deal patterns, and fit risk for every functional beverage name worth looking at already live in our database across 545 AG1 creators and dozens of Liquid IV channels.
The bounded downside is one careful pilot.
The unbounded upside is a 12-month roster that ships month over month without a creator whose audience never builds the habit your product needs.
Speak with us when you want the list built right.
Vetting is the moat.
Reading loop
Frequently asked
What audience cut decides functional beverage creator fit on the first roster?
Daily-habit fit. AG1 needs creators whose audience builds a morning routine. Catherine Gregory ran 51 paid deals across AG1 and LMNT because her audience treats wellness as a daily habit.
Do follower counts predict functional beverage creator fit?
No. MaxWrist Life ran 25 paid AG1 deals at 250K subs and only 8K average views per video, which beats many bigger channels on repeat bookings.
How do I blend a functional beverage roster across audience cuts?
We default to 40 percent daily-habit creators, 30 percent fitness creators, 20 percent travel or lifestyle, 10 percent crossover for a first 12-week pilot.
When does a fit that looks wrong on paper actually work?
When a non-wellness creator hits the same daily-habit cut. MaxWrist Life is a watch channel, yet it booked 25 AG1 deals because the audience keeps a daily ritual.
How fast can I judge fit on a pilot?
90 days for a clean signal across 3 to 5 creators.