The numbers everyone quotes
Image source.
Pulled from the co-posted launch on @vitacoco and @baboontothemoon (May 4, 2026):
- 508 likes
- 63 comments
- 8 saves
Baboon To The Moon's Instagram sits at 240K followers. Vita Coco's account is significantly larger. That's a combined potential reach of well north of 1M followers between the two accounts.
508 likes from a combined 1M+ follower base is an engagement rate of around 0.05% on likes alone. Even if you assume only Baboon's 240K saw the post (collab posts split impressions), you're still under 0.25%. Industry benchmark for brand-collab launches lives in the 1-3% range.
So before we even open the comments, the surface metrics aren't matching the "viral collab" framing.
Now look at what those 63 comments actually are
Emoji-only comments: 7 (20%). Examples:
That's a fifth of the comment thread that contains zero language. Reaction smiley emoji is decorative engagement, not a signal.
Generic "so cute / so pretty / love / obsessed" comments: ~13 (37%). Examples:
These read like the comments any aesthetic brand post pulls. They tell you the visual worked. They tell you nothing about whether anyone wants to actually buy a $549 collab kit.
Intent comments ("need," "must get," "when can I get mine"): 7 (20%). Examples:
Better signal than emoji, but "I need this" is also what people post under a vacation photo of a beach. Not necessarily purchase intent in the funnel sense.
Substantive product-specific comments: 4-5 (12-15%). This is gold. Examples:
@phal.ene: Finally the color and bag I wanted! I have never bought something so fast!
@thekidbret: That drink is so good. Nailed it. A lot of sugar. Treats
@wendy_baldwin2008: Trip is Booked! Just need to get the luggage and treats!
@etaves: Lemon is cute but bring back vita coco energy, specifically chocolate
@phal.ene actually bought.
@thekidbret tasted the drink and named the sugar level.
@wendy_baldwin2008 is integrating the collab into a trip plan.
@etaves is critiquing the flavor choice (Lemonade Treats vs. the discontinued Chocolate Energy).
These are real humans engaging with the actual product.
The honest read: of 35 visible comments, around 12-15% are doing the kind of engagement work that maps to sales. The other 85% is visual reaction.
Then they ran a $549.99 giveaway

Post itself.
Four days after the launch, both accounts co-posted a giveaway. Five winners. Total prize value: $549.99 per winner. The entry mechanics:
- Follow both accounts
- Like and save the post
- Tag 3 travel buddies in the comments
- Bonus: share to story
Read those mechanics carefully. The "tag 3 travel buddies" line is the part that should make any influencer marketer pause. That's not engagement strategy. That's an engagement-pumping mechanic that inflates comment counts with low-substance tags.
Look at the actual comment patterns:
@phenix.jenni: tags 3 friends "π€ ya pray for me"
Another commenter: tags 3 sweepstakes-focused accounts (@sweepercv, @sweepsmom3_, @sweepingbeauty1979)
Another: tags 3 friends with "OMG!!π₯₯ππ"
There's a sub-community on Instagram that exists specifically to enter giveaways. Their accounts follow thousands, they tag each other on every brand giveaway, and they have ~0% sales conversion. You can spot them by the usernames containing "sweep," "sweeps," or "sweepingbeauty" plus profile bios that list "giveaway lover."
A giveaway running this mechanic four days after a soft launch reads one way: the launch metrics weren't where the brands wanted them. So they spent $2,750 in prize value plus the operational cost to manufacture a second wave of engagement that would lift the campaign's apparent performance.
So is the collab "successful"?
Depends on the metric.
- On brand awareness for the visual asset: yes, probably. The launch post got widespread compliments on the butter-yellow color palette. The product visual landed.
- On actual purchase intent and category interest: the data is thinner than the social-recap deck will suggest. ~12-15% of visible comments contain substantive product engagement. Engagement rate on the launch post is below industry benchmark for collab launches. The follow-up needed a $549 hook to manufacture a second engagement wave.
- On the playbook other brands should copy: I'd hold off. The pattern here looks more like "two brands with overlapping aesthetic audiences soft-launched a collection, the organic reaction was modest, and the giveaway carried the rest of the campaign." That's a fine outcome. It's not a viral one.
What this means for your own collab planning
A few honest reads.
- Comment counts are noise without composition analysis. A 63-comment launch with 12% substantive engagement is a fundamentally different campaign from a 63-comment launch with 50% substantive engagement. Same headline number. Different actual outcome.
- Giveaways inflate but don't always convert. $2,750 in prize value generated a second wave of comments, sure. The question is whether the people who tagged three friends to win are the same people who would have bought the $549 collection at retail. Usually not.
- Aesthetic compatibility doesn't equal audience compatibility. Two brands looking great together on a moodboard is not the same as two audiences that overlap meaningfully on purchase intent. Run the audience check before signing the collab agreement, not after the launch post underperforms.
Before you green-light your own brand collab, run this check
IQFluence's influencer analysis tool runs the full read on every creator and partner brand account in about a minute. Real numbers, not vibes.

- You get the profile snapshot: followers, location, top-performing posts, brand affinity, content interests. Live performance pulled from the last 30 posts via API (average views, likes, comments, saves, shares, engagement rate, time-series graphs that catch the soft launches and the post-giveaway spikes).
- The audience read that actually matters for a co-branded launch: age Γ gender split, country and city breakdown, languages spoken, audience brand affinity, audience interests, and reachability % (the share of followers likely to actually see a sponsored post). Audience overlap between two partner brands so you can quantify category fit before you sign the collab agreement.
- Side-by-side comparison stacks every signal across the campaign's full creator roster. PDF or CSV export for the procurement packet.
Manual vetting takes 2-3 hours per creator, the platform compresses that to about a minute, a 30-creator shortlist that used to eat your whole week fits into an afternoon, and teams report 10-20% media efficiency gains plus around $8K saved per campaign block.
Don't read a collab playbook off a screenshot
Audit audience overlap, engagement quality, comment composition, and reachability across every brand and creator in the campaign before you sign the agreement