I’ve been wrestling with this for months. On a spreadsheet, a US-Russia influencer campaign looks like a no-brainer: you can get twice as many creators for the same budget. But that’s assuming the ROI is comparable, which it often isn’t.
Last quarter, we ran parallel campaigns: same product, similar brand messaging, but one with US creators and one with Russian. The Russian campaign cost 45% less on talent alone. Cool. But here’s what the data actually showed:
- US campaign: higher conversion rate (5.2% vs. 2.8% in Russia)
- US campaign: higher average order value (+$15)
- US campaign: significantly better long-term retention
Russian campaign had higher reach and engagement rates, sure. But reach doesn’t matter if people don’t buy.
I started digging into why. And honestly, it’s not that Russian creators suck—it’s that the economics are different. Here in the US, the influencer market is saturated and expensive. That drives higher professionalism and accountability. In Russia, rates are lower because there’s a different market dynamic, which sometimes means less polished execution or less pressure to deliver actual results.
But here’s the thing: that’s not always a bad trade. Sometimes lower-cost Russian campaigns are perfect for brand awareness phases. I just needed to stop comparing them like they were the same thing.
My approach now:
- I set different success metrics for US vs. Russian campaigns
- I calculate CAC (customer acquisition cost) separately by market, not just engagement metrics
- I’m honest with clients that higher conversion rates often come from higher-cost talent
- I look at LTV (lifetime value) by source, not just first-purchase ROI
But there’s still something I’m fuzzy on: how do you account for quality differences when calculating true ROI across markets? Should I even be comparing them side-by-side, or are they fundamentally different enough that it’s misleading to try?
How do you actually measure influencer ROI when the market dynamics are this different?
Отличный кейс, и я полностью согласна, что сравнивать их напрямую—ошибка. Вот как я структурирую это:
Разные метрики, разные цели:
- US кампании: Я смотрю на ROAS, CAC, и LTV. Это where финальная метрика—продажи.
- Russian кампании: Я смотрю на reach, engagement, brand recall (через опросы). Это top-of-funnel.
Не потому, что русские creator’ы хуже, а потому что рынки разные:
- В США конкуренция высокая, цены высокие, expectations выше.
- В России market более новый для influencer marketing, rates ниже, но и expectations меньше.
Если бы я сравнивала их через одну метрику, я бы подумала, что русские creator’ы неэффективны. На самом деле они просто работают на другом уровне воронки.
Что я рекомендую:
Рассчитать CAC for each market separately. Для США: Total Spend / Conversions. Для России: То же самое. Вот это будет honest comparison. Если CAC в России выше, чем в США, несмотря на чем ниже rates—это red flag.
Второе: всегда смотреть на LTV. I’ve seen Russian campaigns с low immediate ROI, но then customers repeat-purchase better. Это может быть потому, что аудитория more trusted the creator. Включи esse в расчеты, и картина меняется.
Мы прошли через это в нашем стартапе, и я согласен что сравнивать метрики напрямую неправильно. Но я добавлю еще один слой: культурные различия в том, как люди покупают.
В России люди более лояльны creator’у лично, чем самому продукту. Это means: если creator порекомендует—они будут больше доверять. Это может дать better retention.
В США более рационально—people research, compare, потом покупают. Creator recommendation—это один фактор из многих.
Поэтому мой совет: не прямое сравнение, а понимание, что ты покупаешь:
- В США: Performance marketing tool
- В России: Trust-building asset
Если ты хочешь быстрых sales—USA. Если хочешь build brand foundation—Russia.
Есть еще один момент: в США influencer market это борьба за attention. В России это еще не настолько saturated, поэтому creator может иметь более intimate relationship with audience. Это не отражается в engagement rates, но отражается на качестве.
I’ve built my entire pricing model around this insight. Here’s how I structure it for clients:
Market-adjusted ROI framework:
-
Baseline CAC by market: I calculate what it costs to acquire a customer in the US market vs. Russian market historically. They’re different baselines—maybe $18 in US, $12 in Russia. These are your benchmarks.
-
Campaign CAC: Then I measure what my campaign achieved. If US campaign hits $16 CAC and Russian hits $10 CAC—both are wins, but they’re not the same type of win.
-
Attribution model: This is crucial. I don’t give 100% credit to the influencer. I use multi-touch attribution:
- Influencer post drives 40% of conversion credit
- Organic search, retargeting, email drive the rest
- This prevents over/underestimating each channel’s impact
-
LTV calculation: Get customers from Russian creators often stick around longer (as Dmitry mentioned). My LTV for Russian-sourced customers might be 25% higher. That changes the whole math.
The honest truth: Russian influencer campaigns are cheaper to run but usually require more top-of-funnel investment. US campaigns are expensive upfront but drive more direct ROI. It’s not one better than the other—it’s portfolio strategy.
I tell clients: “Plan to spend 60% of budget on US performance, 40% on Russian brand-building, and measure them separately. Don’t try to force them into the same ROI model.”
You’re asking the right question, and I’ll give you a framework I use for multi-market DTC brands:
Market-specific ROI model:
Tier 1: Direct metrics (what you can measure today)
- Click-through rate
- Conversion rate
- Average order value
- CAC
Tier 2: Cohort metrics (requires 90+ day window)
- Repeat purchase rate
- LTV (12-month)
- Brand affinity (NPS or likelihood to recommend)
Tier 3: Market dynamics (qualitative but critical)
- Seasonality differences (holiday patterns differ by country)
- Regulatory environment (Russia has different ad compliance)
- Currency/payment method differences (affects checkout completion)
Why this matters for US-Russia specifically:
Russian audiences are more homogeneous in purchasing behavior; US audiences are fragmented. This means Russian campaigns need less optimization but have lower ceiling. US campaigns need more targeting work but higher upside.
I literally calculate a market efficiency coefficient. If US campaigns average 4.5% conversion with a 50% repeat rate, and Russian campaigns average 2.8% conversion with a 65% repeat rate—the 12-month LTV math might actually favor Russia, not the US.
The trap people fall into: they measure only first-purchase ROI. Over 12 months, the math shifts dramatically.
Pro tip: Build a dynamic pricing model. Don’t allocate budget based on 30-day ROI. Allocate based on 12-month LTV ROI by source. This solves the exact problem you’re describing and lets you actually compare markets fairly.