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Twice as fast with Fetchify

Over 99% of address searches are done in the same country that customers finally require – so, overwhelmingly, if your customer is in the UK, they are searching for a UK address, if they are in the US they are searching for a US address. That’s why we preselect the country of the search based on your customer’s IP location.

Why not search all countries together?

If you are in Spain,  you don’t want to be inundated with addresses from South America, if you are in Australia, you don’t want UK streets flooding your results. By preselecting the country, your customers get to their required address quicker, and you get them through checkout faster. 

And for that less than 1% of searches that do want a different country, the customer simply choose the required country from the selector.

How much quicker?

We test our product against our competitors which offer a combined country search, and the results are clear. When you look at the number of keystrokes it takes to find the correct address, Fetchify Address Auto-Complete get’s there first.

If your Australian customer is looking for Australian addresses  – we get there in half as many keystrokes.


Address Auto-Complete example of Australian address


Address Auto-Complete example of Australian address


Address Auto-Complete example of Colombian address


Address Auto-Complete example of Colombian address

And South America? Even with twice as many keystrokes, our competitors cannot even get to the correct country.

Correcting address errors

Wouldn’t it be great if every customer typed in their address in the exact way that you need it –   standardised, correctly spelt and in the language you need.  But just how often do users get addresses wrong, what types of errors do they make and how does it affect the search results in address auto-complete. 

How often do they get things wrong?

From our search logs, we find that around 9% of addresses have an error of some sort. These can range from using abbreviations, to putting things in a different order than you expect, to mis-spelling street names. 

So how does Fetchify Address Auto-Complete help?

The search algorithm that sits behind Fetchify Address Auto-Complete uses fuzzy logic to see around these errors.



We never cease to be amazed by the range of errors found as typed, from the common (an "m" instead of "nn") to the downright strange.

Address validation - typos
Address Validation - different order

Non standard ordering

Our algorithms can see beyond the standard format no matter if it's a zip-code before the street, start with the town or put the street before the house number.