Keyword searches gather both exact matches and close matches..
A search for the keyword is performed within certain types of point of sale data (point of sale name, city, postcode and county) so as to find exact matches.
The city criterion is more relevant than the others
So a point of sale named "MEREVO Chambéry street" located in Paris won't be the top result on a "Chambéry" keyword search.
However this type of naming is not recommended, because it can be confusing
These exact matches are supplemented by close matches. The threshold at which this search for close matches is triggered can be adjusted.
Searches for close matches involve locating the keyword being searched for and finding its geographical position (GPS coordinates).
These GPS coordinates are used to display nearby points of sale within a given geographical radius. This geographical radius can also be modified.
On the list page, the points of sale identified using the search for close matches are accompanied by the geographical distance that separate them from the location specified in the search. In addition, conversions between the different systems of measurement (km, miles) are performed automatically.
Judging from the example provided by one of our clients, the top result can be identified as an exact match, and the second result as a close match.
NB: The system allows the entry of certain keywords to be corrected. For example, searching for “Anecy” will produce close matches identical to “Annecy”. Order in which points of sale are displayed
Order in which points of sale are displayed
The search path used in BRIDGE
* The search radius can be reduced or increased upon request. Contact Support if you think there are too many or too few results.