LMNT 5-C Influencer Campaign Analysis

The 5-C System

The five steps, and where each one is in this analysis

Why it works

What brands get from the 5-C System

• ✓Higher average customer lifetime value (LTV)
• ✓Cheaper than direct outreach
• ✓Higher landing-page conversion with a dedicated influencer page
• ✓Stronger influencer return on ad spend (ROAS)

What this is

What this analysis covers

This is a thorough breakdown of LMNT's influencer marketing program (drinklmnt.com). We cover the value props, the creator strategy, vetting every creator and reading their metrics, plus tips you can lift for your own system, whether you are just starting with influencers or expanding a roster you already have.

For context, LMNT is a direct-to-consumer electrolyte drink-mix brand that sells a sugar-free, sodium-forward mix to active, health-conscious people across the US and Canada.

The opportunity

The scale of LMNT's program

• ✓From September 2022 to April 2026, 1,223 sponsored videos with LMNT across 288 YouTubers alone (more on other platforms).
• ✓160 creators were sponsored 2+ times, and 105 had 3+ sponsored videos.
• ✓Their top creator, More Than Farmers (442K subs), ran 64 LMNT-sponsored videos.

The creators a brand books over and over tells you the most. It's worth analyzing who your competitors are sponsoring, the size of the influencers, the categories, and the frequency. Those alone, without the underlying data, tell you a lot.

So we broke down this competitor landscape on YouTube, at least on the influencer side. Find which creators keep working for them, study the value props they lean on, and use that to guide your own campaigns.

The opportunity

LMNT's sponsored-video history

This is a slice of what we pulled from our database for LMNT alone. Every channel, its subscribers and views, the upload date, the offer, and the personal link.

1. Chart · the audience

The target audience, demographics and psychographics

Regardless of whether you're already running campaigns, you're new to campaigns, or you want to make your campaigns more profitable, we typically start by asking:

1. Chart · the audience

The LMNT customer avatar, in detail

Everything starts with narrowing down the one target avatar you want to serve. You can segment a different way, and a broader audience can work too, but it helps to focus on one segment at a time. Here is how that avatar breaks down for LMNT.

The same electrolyte message works in all of them, which is why LMNT can book hundreds of creators and keep converting.

1. Chart · the offer

LMNT's offer

The offer is a free sample pack with any purchase, used on 1,076 sponsored videos. It works because the buyer just pays shipping and effectively gets the pack for free. The hardest part for most subscription products is getting the first customer in the door, and this fixes that.

It is also built on repeat purchase. LMNT is subscription-first, so the profit is made over the life of the customer, not the first order.

1. Chart · the value prop

How to write your value prop

To nail your own value prop, answer these questions, then repeat your answers back to the creators when you brief them. We cover the brief itself under Comply.

• 1.If a happy customer described you to a friend in one sentence, what would they say?
• 2.What is the one thing you do that competitors cannot easily copy?
• 3.Fill in the blank: we are the only ones who ___.
• 4.If you could keep only one feature and cut the rest, which would you keep, and why?
• 5.What problem does someone have the moment before they need you?

1. Chart · the goal

The goal: break even on acquisition

Because LMNT is subscription-first, we would not chase a 2 or 3x return in the first thirty days. We aim to break even on the cost to acquire a customer as we scale.

Once you break even on acquisition, you can pour a large budget into creator reads, bring in a flood of subscribers, and let the renewals carry the profit.

1. Chart · the competitors

The competitor landscape on YouTube

LMNT runs roughly 5x the YouTube volume of its nearest competitor, and it is the only one leading with a free gift instead of a discount.

The field at a glance

2. Cast · start in the database

How we pick the creators

Cast is where most of the money is won or lost.

We start from a roster of past-performing creators, plus extra creators sourced through a partner agency, Whalar. Every candidate is then run against our sponsorship database, which holds nearly 285,000 sponsored videos across 31,000+ YouTube channels and 44,000 brands, going back years.

2. Cast · signal 1

Signal 1: repeat sponsorship

The single best signal that an audience buys is a brand booking the same creator again and again.

Nobody keeps re-booking a creator who does not bring in conversions.

More Than Farmers (442K subs). LMNT booked this homestead creator 64 times. She is a good example of a quality creator, because she has also earned loyalty from a few other brands in completely different categories, so they don't compete:

• ✓Thrive Market (the online organic grocery), 52 sponsored videos
• ✓Superb Sealing (home-canning lids and jars), 45
• ✓Xero Shoes (barefoot shoes), 31

When this many repeat-buyer brands keep coming back to the same homestead creator, it tells you the creator has built a really good audience, one that listens to her for advice, not just entertainment.

One caution: make sure she is not also sponsoring your competitors. It comes off as inauthentic, especially when the audience sees her volume of sponsored shows.

2. Cast · signal 1

Why long-term partnerships convert

Michelle Roots has become almost exclusive with LMNT: 62 of her 70 lifetime sponsorships, and more importantly, ninety percent of everything she has run since 2023.

These are some of the best partnerships we see. Michelle has grown tremendously since 2023, and her audience has grown with her. She has also managed to convert an enormous percentage of viewers.

Here is the part most people miss. If you look at view-to-subscribe ratios, typically only 5 to 10 percent of an audience watches any given video. Because every video is a slightly different topic, or people just miss it, you can convert a huge share of the audience over time as they see the offer again and again.

A one-off read might convert 0.3 percent of viewers. Over a long-term partnership with an educational creator, getting to 5 percent audience conversion is genuinely possible.

That is why these long-term partnerships make sense.

2. Cast · signal 2

Signal 2: the four creator types

Subscriber counts are easy to buy and easy to forget, so we ignore them as the headline number. Instead we score each creator on signals that are hard to fake:

• ✓Average views on videos older than thirty days but younger than six months.
• ✓The ratio of those views to subscribers, a health check on reach.
• ✓Engagement, and recency.
• ✓Loyalty, meaning how many times LMNT and other brands have re-booked them.

We roll those into a single zero to one hundred fit score with stated weights. It sorts the roster into four buckets, and a good program buys from all four.

2. Cast · signal 3

Signal 3: check real views, not subscribers

Chris Williamson has 4.15M subscribers, but his videos averaged around 24 thousand views, only about 0.5 percent of his subscriber base watching a given video. That usually means one of a few things:

• ✓The channel caught a wave of traction during a viral spike and then slowed down.
• ✓Or they bought followers, though looking through his other metrics, we don't think he did.
• ✓Or it just naturally happens to channels as they get bigger, the same way it does for MrBeast.

The real problem here is cost. A channel like this is typically more expensive, because the influencer values themselves on that subscriber count. That matters for whitelisting, when you run ads from their handle, because the ad shows the subscriber number. But for a normal sponsored read, those subscribers who left years ago do not help you at all.

Compare that to Alexis Miestowski at 38.7 thousand subscribers, with a subscriber-to-average-view ratio of 80 percent.

That raises the value of the partnership, because a creator like her usually charges far less than a megachannel for better, more targeted exposure. You pay for attention you actually receive, not for a subscriber count that left years ago.

2. Cast · signal 4

Signal 4: check the comments

Comments are the closest read on what is really going on with an audience. We look at whether comments are mostly questions or mostly statements. A high rate of real questions usually means the audience treats the host as a trusted source, not background noise.

We measure that question to statement ratio across ten sampled videos and compare it against the rest of the shortlist. We also check for fake followers at scale, scoring each channel on how likely it is that bots are in the comments, based on how old and how active the commenting accounts are.

Accounts under a year old with no activity are the tell. A finalist only passes if its commenters are not meaningfully younger than channels we know are clean.

Examples of fake comments. These are pulled from one channel we vetted out. We are confident the comments were bought, and a full analysis on how to spot fake channels (some are very convincing now) is coming shortly.

Click into the accounts behind those comments and they are brand new, with no videos and no history. That is what a bought audience looks like up close.

2. Cast · signal 4

What good comments look like

Good comments are thoughtful, specific, and show the viewer actually acting on what the host said.

2. Cast · cover the funnel

Cover the funnel: top, middle and bottom

This is how we applied the top, middle and bottom of funnel concept to pick influencers who hit different levels of the market.

The percentages below are the view-to-sub ratio: average views divided by subscribers, i.e. what share of the audience actually watches a video.

2. Cast · package the gift

How we package the product

For the product, we give the creator a one-time code so they buy it themselves like a normal customer. That keeps the logistics simple.

Then we put the effort into the packaging:

• ✓A sturdy gift box
• ✓A handwritten note from the founder
• ✓The best sellers
• ✓The creative brief, printed and tucked inside

Image to add: an LMNT PR unboxing, a creator opening the gift box with the founder note.

3. Comply · the rules

Stay compliant

Supplements do not carry the cannabis-style fines, but they carry a claims risk, and the Federal Trade Commission has been active in enforcing it.

The main danger: a creator improvises a health claim, and the brand is held liable for it.

• ✓Health claims are the line. An electrolyte mix does not cure, treat, or prevent anything. Helps you feel hydrated on a long run is fine. Fixes a medical condition is not.
• ✓It has to be true to them. The endorsement must reflect what the creator actually thinks and does.
• ✓Disclose every time. Clear disclosure in the spoken read, the description, and a pinned comment.
• ✓Send them to the site. Every read points to drinklmnt.com, where the real ingredient detail and the offer live.

Two real reads, graded. A competitor, Cure Hydration, shows both the line and how to stay on the right side of it:

3. Comply · the brief

The creative brief

The creative brief is the cheapest thing you can do to stay out of trouble. Here is a sample (note: we don't share our real one, that stays internal with clients):

• 1.Ban the 'problem then cure' setup (name a condition, then sell the fix), the single biggest claim risk.
• 2.No 'cures / treats / prevents', no 'as effective as an IV', no mood / skin / brain / focus / immunity promises.
• 3.Require a plain spoken disclosure ('this video is sponsored by LMNT'), a promo code is not a disclosure.
• 4.'Clinically tested / doctor-developed / proven' only if the brand hands over the study; otherwise drop it.
• 5.Keep it to hydration and taste: 'helps me feel hydrated', 'zero sugar', 'I drink it on long runs'.
• 6.Every read points to drinklmnt.com, where the real ingredient detail lives, never let the creator improvise it.

We would catch these things at review and ask for a re-record before it goes live, far cheaper than pulling a video months later.

Image to add: the LMNT creative brief hub, talking points and banned phrases.

Image to add: the LMNT compliance checklist, electrolyte-specific banned phrases and disclosure.

4. Convert · attribution

How we track every sale

Multitouch attribution.

• ✓We counted 315 distinct personal slugs, one per creator. A dedicated landing page is low effort and reliably multiplies your conversion rate. Every one follows the same pattern, drinklmnt.com slash the creator's name.
• ✓Every order is tagged to the exact channel it came from, with the free sample pack as the hook.
• ✓When a viewer clicks, a pixel fires, so they become the warm audience for retargeting later.

4. Convert · lifetime value

Lifetime value

A customer who comes in through a creator is worth more than one who comes in through a cold ad.

• ✓They bought on borrowed trust, so they stick.
• ✓They keep seeing the product as new creators join.
• ✓On a subscription, that loyalty compounds into months of renewals.

On day one the two customers look identical. By month six they are not close, and that gap decides how much you can pay for the next creator.

The payout plumbing is solved. Off-the-shelf affiliate software tracks each creator's code and pays them their share automatically.

4. Convert · the forecasting model

Can you predict the results?

No, you can never guarantee results. But you can do a pretty good job estimating them.

If you don't have fake followers, it's all the right target audience, and you have a low-to-medium ticket offer (not above $5,000 per order), then you can predict pretty well what will happen. That said, we've seen outsized results, especially around holidays.

• ✓Holidays: apply a 2 to 3x multiplier across the whole goal, because the offer simply sells a lot better.
• ✓New region: go the other way and apply a roughly 2x lower multiplier, because a new region needs time to adjust.

This is a transparent planning model, our own math on the program, clearly labelled, not LMNT's books.

4. Convert · the forecasting model

What we measured over one quarter

Here is what we counted over three months, from January to March 2025:

• ✓LMNT paid for about 110 videos from 60 creators.
• ✓Those videos pulled in roughly 19.7 million views, about 178,997 each.
• ✓Viewers left around 637,000 likes and 41,000 comments, so about 3.4% engaged.
• ✓We priced the views at a $30 CPM (CPM = what you pay per 1,000 views; $30 is the going rate for good creators).
• ✓That makes the views worth about $590,691 for the quarter, or roughly $5,370 per video.
• ✓Allowing for about 4% of viewers reaching the site, that is on the order of 788,000 visits to the free-sample page.

4. Convert · the forecasting model

Q1 2025 in numbers

4. Convert · the forecasting model

The first 30 days

ROAS (return on ad spend) is how many dollars come back for each dollar you put in. We price the media at a $20 CPM, the same rate you would pay Facebook for the same number of views. We then assume 4 percent of viewers reach the site, 2 percent of those buy, and an average order value (AOV) of $45, which is one box at about a dollar fifty a stick.

Even on the first order, inside 30 days, the creator videos already pay for themselves at 1.8x.

A Facebook ad at the same $20 CPM will often sit at breakeven ROAS, because the viewer is hearing it from a creator they already trust. It lands like a friend's recommendation rather than an ad interrupting them. Think of a referral versus cold traffic.

4. Convert · the forecasting model

Cost to acquire vs lifetime value

On a subscription product, the two numbers that matter most are the cost to win a customer and what that customer is worth over time. If you don't sell a subscription product, we can help you package one and structure deals that let you sell more to the same customers.

CAC lands at about $25. If a customer stays the industry-average 6 months, and one box lasts roughly a month, they place about 6 orders, an LTV of about $270. So you spend $25 to win a customer worth about $270, an LTV to CAC ratio of roughly 11 to 1.

A healthy store aims for 3 to 1. This sits well above the bar, because the trust the creator passes along means more people buy, and then keep buying.

4. Convert · the forecasting model

ROAS over 6 months

Finally, the same quarter measured out over six months, once the renewals are counted.

The 1.8x from the first month grows to about 10.8x by month six once the renewals are counted. And it keeps scaling as we increase influencer spend.

5. Compound · turn winners into a system

The flywheel

Once you have winners, you double down on them, and then find new creators to fill the pipeline, depending on how fast you're scaling.

Many people worry an audience gets tired of the same product, but a growing channel rarely saturates its audience, because only a fraction of subscribers watch any single video and the channel keeps adding new viewers every month. That is why we like to partner with up-and-coming influencers, the audience is fresh and still expanding.

• ✓The 85/15 rule. Keep the top eighty five percent, swap the bottom fifteen for fresh creators every month.
• ✓Do more of what works. Run a winner's best read as a paid ad through their own handle.
• ✓Partner deeper with the best. Many times you can keep partnering with the same creator and get great results.
• ✓Build ambassadors. Fly the top creators out for events and content days (we can help coordinate this if it's your first time).