I’ve been running cross-market campaigns for about a year now, and something that’s been bugging me finally clicked: my ROI calculations between US and Russia campaigns are totally incomparable, even when I think I’m measuring the same things.
Here’s what happened. We ran a campaign with a creator in both markets with similar investment ($5k each). The US campaign looked better on paper—higher engagement rate, more comments. But the Russian campaign actually drove more conversions. When I tried to calculate which was the “better” ROI, I realized I was comparing apples to oranges because the metrics work differently.
So I started digging into why. A few things became obvious:
First: engagement quality is different. US audiences tend to like and save more. Russian audiences tend to comment and DM more. If you’re just counting “engagement rate,” you’re missing that Russian engagement is often more direct conversation, while US engagement is more passive. This completely changes how you should value a post.
Second: conversion funnels are different. US audiences are more likely to click a link and buy immediately. Russian audiences often research more and buy later. So a higher immediate click rate in the US doesn’t necessarily mean better long-term ROI. You have to track the full funnel, not just immediate conversion.
Third: the time lag. Russian campaigns sometimes show ROI delayed by two weeks or more compared to US campaigns. If you’re evaluating success after one week, Russia looks worse. If you evaluate after three weeks, it might look better. Same campaign, different timeline.
Fourth: payment and trust. Some Russian audiences are more hesitant with online payments. This affects conversion rate but doesn’t reflect the appeal of the product or the creator’s influence. You have to account for this friction.
I’ve started building simple adjustment factors for each market, but I know that’s not a perfect solution. Has anyone else noticed these differences? How do you actually standardize ROI measurement across markets when the behaviors are so different?
Это абсолютно верное наблюдение, и я видела это много раз. Дело в том, что ROI—это не просто одна метрика, это целая система показателей, которые работают по-разному в разных рынках.
Вот как я это решаю: я не смотрю на финальный ROI число, я смотрю на каждый этап конверсии отдельно. Impression—это первый шаг. Click—второй. Add to Cart—третий. Purchase—четвёртый. Каждый этап я отслеживаю по странам отдельно, и я вижу, где на самом деле теряется конверсия.
Обычно я вижу, что в US высокий процент от impression к click (35-40%), но от add to cart к purchase только 15-20%. В России наоборот—clip rate ниже (20-25%), но conversion from cart выше (25-30%), потому что количество добавлений в корзину меньше, но люди серьёзнее.
Далее: я рассчитываю CPA (cost per acquisition) по странам отдельно, и только после этого я считаю общий ROI. Это дает мне реальную картину, где на самом деле деньги работают.
Для долгосрочного мониторинга: я отслеживаю conversions за 28 дней минимум на каждом рынке. US часто показывает результат за неделю, Russia—за две-три. Это нужно учитывать в timing’е оценок.
You’ve identified a fundamental issue in cross-border performance marketing. The problem isn’t your measurement—it’s that you’re trying to apply the same metrics to different consumer behaviors.
Here’s the framework I use: I create a baseline for each market based on historical data. Average engagement rate in US for similar products: 3-4%. Average in Russia: 2-3%. These become your market-adjusted benchmarks. A creator’s performance is then evaluated against the market baseline, not against the other market’s performance.
For ROI specifically, I calculate attributed revenue at 7-day, 14-day, 28-day, and 90-day windows. Different markets attach at different speeds. Then I use multi-touch attribution—a purchase might have come from the creator’s post, but also from retargeting ads or organic search. You can’t give 100% credit to the influencer in every case.
Final point: implement UTM parameters religiously. Creator A in the US gets utm_source=creator_A_us, Creator B in Russia gets utm_source=creator_B_ru. This keeps your data clean and comparable, even if the underlying behaviors are different.
The adjustment factors you mentioned are actually smart, but codify them based on historical performance, not guesswork.
Это интересная тема, потому что когда я организую встречи между брендами и инфлюенсерами, я вижу, как разные инфлюенсеры рассказывают про свою аудиторию по-разному. Русский инфлюенсер говорит: «моя аудитория очень лояльна, они много раз перечитывают мой контент прежде чем действовать». Американский инфлюенсер: «моя аудитория импульсивна, они быстро кликают, но медленнее конвертируют».
Это не значит, что один лучше другого, это значит, что исходы партнерства будут разные. Американский инфлюенсер может дать больше трафика, но русский—больше настоящих покупок. И если бренд ориентирован только на первый день метрик, то они не увидят реального значения русского инфлюенсера.
Мне кажется, нужно говорить про ROI в контексте целей бренда. Если цель—максимизировать немедленный трафик, одна стратегия. Если цель—максимизировать долгосрочные customer lifetime value—другая стратегия, и инфлюенсеры выбираются по-другому.
This is something I deal with constantly when briefing clients. The conversation always goes: “Why does the Russian campaign have lower engagement but higher ROI?” The answer is usually that they’re measuring the wrong thing.
What I do is this: before any campaign launches, I set KPIs that make sense for each market separately. For the US, we might optimize for reach + engagement. For Russia, we optimize for conversion quality. Then after the campaign, we don’t compare apples to apples—we measure each against its own market-specific KPI.
Also, I’m very careful about time windows. A mistake I see constantly: brands check results after 3 days and make decisions. You’re not seeing the full picture. I always wait at least 14 days, ideally 28, before I evaluate a campaign.
One more thing: talk to creators about their audience behavior. A good creator can tell you, “My US audience buys fast but returns more. My Russian audience researches first and keeps products longer.” That context matters for ROI expectations.
As a creator, I notice this all the time with how my different audiences react. My US followers are very quick to click and engage in the comments. My more Russian-leaning followers read carefully, think about it, and then share it with friends or family. Both are valuable, but yeah, they show up in metrics completely differently.
What I wish brands understood: a comment from someone who’s gonna buy is worth more than 10 likes from people scrolling. So if your US audience gives you more likes and Russian audience gives you fewer but more comments, that’s not a bad Russian campaign—that’s a different kind of effective.
I’ve had brands pull out of Russian markets because the engagement rate looked lower, then later realize they missed actual customers. It’s sad because they didn’t understand the behavior difference.