Our Coverage Analysis tool can help you to visualize (and find) shoppers! See shoppers from your database as well as shoppers from the Presto database on a single map, and quickly see where you might direct your scheduling and recruiting efforts!
Coverage Analysis is envisioned as both a scheduler tool, and a sales tool. In a scheduling scenario, Coverage Analysis allows you to quickly see where your shoppers are and where you might have trouble filling client's locations. In a sales scenario, Coverage Analysis can help you see where you might need to direct your recruiting efforts in order to meet client's needs, which then might assist with the pricing model you might offer the client.
ACCESS
To access Coverage Analysis, on the main admin page just search for "Coverage Analysis". The feature is available to any system administrator who has access to at least one client.
WHICH SHOPPERS ARE INCLUDED
Coverage Analysis allows you to see two separate numbers: shoppers in your own database, and shoppers who have signed up for Presto.
Shoppers from your database are limited to active shoppers, who have opted to be contacted by you when you advertise new shops. Shoppers get geocoded (we extract the coordinates from their address in the shopper profile), and we know their country and state/province, so we can count them that way.
The information about Presto shoppers is limited, because they are not required to fill out a profile. We know their coordinates, as well as country they chose when they signed up, but we do not know their state/province.
NOTE: There might be an overlap in the numbers between your database and the Presto database - shoppers who are in your system could also be signed up in Presto, with the same (or different) email address.
THREE MODES
Coverage Analysis allows you to visualize the location of the shoppers in three different modes:
1. Country mode - select one or more countries and the list of shoppers will be limited to only those countries. Shoppers are presented on both the map and in the table, by country. In case of United States, there is an option to count the shoppers only in a certain region (which is a grouping of states), but with a caveat - Presto shoppers don't have states, so their numbers in this type of search will always be zero.
2. Address mode - type in an address and select the distance and only the shoppers within the selected radius from the address will be shown. Shoppers are presented on both the map and in the table.
3. Client mode - select a client and the distance and you will be shown the number of shoppers near each of client's active locations. Shoppers are presented in a table, with a number next to each of client's locations.
HOW TO READ THE MAP
On the map, shoppers are grouped by the tenth of a geographical degree, so multiple shoppers are grouped into a single bubble. Each bubble, from its center, has a radius of approximately 3.5 mi (5.5 km), regardless of the size of the bubble. The size of the bubble depends on the number of shoppers in that area - blue dot for a single shopper, yellow bubble for 2-40 shoppers and a green bubble for 40+ shoppers.
HOW TO ACCESS PRESTO SHOPPERS
The easiest way to access the shoppers in Presto is to post your shops to a Presto Map while creating your session! Jobs will automatically appear for all the shoppers who are near the location you posted and if a Presto shopper wishes to perform the shop, they will need to sign up in your system (if they are not signed up already) and apply for the shop - just like your existing shoppers have to!
WHAT THIS TOOL DOES NOT DO
While Coverage Analysis is envisioned as a helper during scheduling, it is NOT a scheduling tool. It is not possible to select shoppers and send them shop offers, its purpose is to SEE where your shoppers are (or are not), so that you can tailor your scheduling profiles and sessions according to shopper availability.
WHAT DOES THE FUTURE BRING
Future releases of Coverage Analysis will likely bring additional filters to all three modes - shopper age, gender, rating, etc., which would allow you to even further analyze your existing database. As this is currently an active project, we would also like to hear from you on how you think the feature might be improved - please open a tracker and let us know!