I’ve been managing creator partnerships at scale for a while now, and I keep noticing something frustrating: we treat influencer selection like it’s about finding the “right vibe” when it should be about finding the right business equation.
Here’s what I mean. We’d get excited about a creator with 100K followers who “aligns with the brand.” Vibe matched, aesthetics matched, audience demographics roughly line up. We’d greenlight the partnership. Then the campaign drops and the CAC is garbage. Conversion doesn’t justify the spend.
Meanwhile, a creator with 25K followers—less glamorous, totally different aesthetic—drives 3x the CAC efficiency because her audience actually buys. But we didn’t prioritize her because she wasn’t “influential” enough in the traditional sense.
I realized we were optimizing for the wrong thing. We were selecting for brand fit when we should have been selecting for business fit—which is completely different.
Now we work backwards from the math. Here’s what we need CAC-wise. Here’s the average order value. Here’s the margin. Given those constraints, which creators have audiences that actually convert? Who has the lowest cost-to-acquire-a-customer through their channel?
It’s less romantic, but it works. And honestly, it’s fairer to creators because we’re not expecting them to over-deliver on something that was never going to work mathematically.
I’m wondering though: am I overthinking this? Is there a reason brands still lead with aesthetics and follower count instead of conversion data?
Наконец-то кто-то это сказал. Я вижу это постоянно. Бренды инвестируют в креаторов, исходя из vanity metrics—follower count, engagement rate—а потом удивляются, почему CAC не падает.
Твой подход звучит логично, но пара вопросов. Как ты определяешь “business fit”? Ты смотришь на конверсию предыдущих кампаний этого креатора? Но ведь каждый бренд по-своему собирает конверсию—может быть то, что работает для одного бренда, не работает для другого?
Плюс, как ты избегаешь selection bias? Если ты выбирал креаторов по эстетике в прошлом, ты мог выбирать слабых. Теперь ты выбираешь по конверсии—может быть это просто разные наборы людей, а не разные критерии?
Мне кажется, real answer это: ты должен тестировать. Брать 2-3 креатора контролируемо, смотреть на внутренние метрики, потом экстраполировать. Или у тебя есть достаточно данных, чтобы не тестировать?
И второе: креаторы это не только про конверсию. Есть ещё brand lift, sentiment, long-term customer value. Если ты нанял креатора с perfect CAC, но она испортила репутацию бренда—это окупилось? Как ты измеряешь эти softer метрики наряду с CAC?
Слушай, я как раз в той ситуации, где я выходила на новый рынок и не прощеся по метрикам. Мне кажется твой подход логичный, но реальность такая: когда ты только входишь на новый рынок, у тебя нет исторических данных. Ты не можешь сказать, “у этого креатора есть perfect CAC” потому что ты раньше с ними не работал.
Так что даже если ты хочешь быть data-driven—на начальном этапе ты просто не можешься. Мне пришлось сначала работать с рекомендациями, потом собирать собственные данные. Может быть гибридный подход? Сначала гайды по выбору (включая эстетику, потому что это все-таки важно для brand fit), но потом очень быстро тестировать и итерировать?
You’re describing something most brands won’t do because it requires discipline. And you’re right—the romantic “brand fit” approach loses money. But let me push back slightly.
The reason brands lead with aesthetics and follower count is because it’s legible. You can show a client a portfolio, explain the vibe, and close the deal. Saying “this 20K follower creator has a 4.2% conversion rate from her audience” requires historical data, benchmarking, and a willingness to look at what everyone else passed on.
Here’s the other thing: high-CAC creators aren’t bad creators. They might be great at brand building, sentiment shift, or serving as tier-2 influencers for distribution. You shouldn’t eliminate them, you should stratify them. Some creators are CAC machines, others are reputation builders.
The real question is: are you actually tracking conversion by creator, or is this still hypothesis? Because most brands I work with have no idea which creators drive conversion. They know engagement metrics, but conversion? That data rarely flows back to the creator because the tech stack is disconnected.
What’s your current attribution setup?
Okay, but I want to be real about this from the creator side. If you’re only selecting creators based on CAC performance, you’re basically saying “the only thing that matters is whether my audience buys.”
That’s… kind of incentivizing manipulation? Like, the easiest way to drive conversions is to have an audience that’s already primed to buy, which usually means a niche. But what if a creator has a broader, more diverse audience that builds long-term brand love, even if the immediate CAC is higher?
I’ve been booked by brands because of CAC numbers and felt like they didn’t care about quality. They needed conversions right now, so they picked creators whose followers were basically already pre-sold. That creates pressure to over-promise, under-deliver, burn audience trust.
I think you’re right to focus on business fit, but don’t throw out brand fit entirely. The best partnerships I’ve been in had both: the aesthetic matched, the audience cared, AND it moved the needle on CAC. That’s the combo.
Maybe the question isn’t “aesthetics or metrics,” it’s “how do I find creators who do both?”
You’re describing buyer persona alignment vs. audience overlap, and you’re conflating them. High follower counts are useful for top-of-funnel awareness, but they’re poor predictors of purchase intent within a specific segment.
The operational insight here: you should tier creator partnerships by funnel position. Top-of-funnel creators (aware but not considering) can have looser CAC metrics if they’re expanding reach. Mid-funnel (considering buyers) should be optimized for engagement quality and sentiment. Bottom-funnel (ready to buy) should be optimized for conversion CAC.
Within each tier, you’re right—business fit matters more than vibes. But saying aesthetics don’t matter oversimplifies. Aesthetic fit is actually a proxy for credibility within a segment. A creator whose aesthetic matches your brand category has higher perceived authenticity, which affects conversion.
One practical thing: set up attribution that captures both breadth AND depth metrics. Impressions generated, cost-per-impression, conversion rate, CAC. Then map that back to creator type and audience size. That data will show you where efficiency actually lives.
The harder question you’re not asking: are you measuring lifetime value, or just first-purchase CAC? Because a “high-CAC” creator might bring customers with 3x CLTV, which makes the CAC irrelevant. How are you tracking that?