Price optimization

Creators using adapted prices claim 20% to 35% growth revenue for comparable traffic. Pricing is a touchy and undervalued lever of growth and adapted pricing makes it fun and profitable.

Adapted prices increase revenue

By adapting your prices to local purchasing power, you're greatly improving your marketing efficiency. And for digital products with very low marginal costs, this means a lot of MRR.

One price for all. In this case, we don't charge enough high purchasing power visitors, and too much low low purchasing power ones. We miss out on a lot of sales.

Adapted prices. The area our pricing covers is wider, which means increased revenues.

Of course, it's legal

Offering adapted prices based on the country of location is absolutely legal. What's illegal is price discrimination based on personal traits (gender, sex, race).

All physical product companies do it (simply because of transportation/customs costs). Some digital companies too: A, B, C.

Here is the law about it.

Price A/B testing

Advanced users can use exportator to try new prices on regions at the time, or at scale. Purchasing Power Parity is our universal recommendation but you might want to customize it. Find your best price path is as follow:

  1. Select groups of comparable countries.
  2. Try a variety on each for a period
  3. Pick best former, apply to all segment

Exportator provides each countries data about: Purchasing power, language, geography, access to web, population size, smartphone/hab, and much more.