[gingerlime]

looks really interesting! we’re a niche B2C with a global audience. We tried a bit of localized pricing in developing countries and synthetic currecies, but it seems tough to find the right price sweet spot. One odd thing we noticed was that localized prices don’t necessarily convert better. perhaps the perception of a lower nominal dollar amount vs higher local currency? eg $20 might be nearly 1500 rupee which “feel” way more expensive?? (just our theory)

What’s the minimum conversion/traffic for running robust experiments?

also how do you a/b test in the same country without risking people feeling lack of fairness?

[abelr]

The minimum would be 100 conversions per month below which we cannot perform experimentation. Obviously better works better, and 500 would be better. But even without experiments, we have default curves which you can use. Regarding A/B test, you do not need to A/B test in the same country, you can always perform experiments across countries and get 100% of the traffic of a country to the same experiment.

[gingerlime]

Thank you! this might be interesting for us. It won’t be real A/B tests across different countries though unless they are extremely similar, right? our service is also seasonal and different countries are on different schedules so it makes even more of a difference I imagine.

[abelr]

The way we operate is by putting countries on a curve based on their characteristics (PPP, tech salaries etc.) and find which curve maximizes your KPIs. When you say seasonal do you mean yearly seasonality? I'd definitely be curious to hear more! My email: [e-mail]