SYSTEMS AND METHODS FOR OFFERING CARBON OFFSET REWARDS THAT CORRESPOND TO USERS
Method and system for offering carbon offset rewards corresponding to users. For example, the method includes detecting actions attributable to a user, determining a level of mindful driving and additional characteristics of the user based upon the attributable actions, determining the user's quality based upon the level of mindful driving and additional characteristics, determining a level of carbon offset reward based upon the user's quality, and offering an amount of carbon offset reward to the user based upon the level of carbon offset reward, where the amount of carbon offset reward includes a first amount for planting a first set of trees at a first time and a second amount for planting a second set of trees at a second time with the first time preceding the second time by a time duration that is shorter than or equal to the lifespan of each of the first set of trees.
1 . A method for offering a carbon offset reward corresponding to a user, the method comprising:
detecting, by a computing device, one or more actions attributable to the user;
determining, by the computing device; a plurality of characteristics related to the user based at least in part upon the one or more actions attributable to the user, the plurality of characteristics including a level of mindful driving of the user and one or more additional characteristics of the user;
processing; by the computing device, information associated with the level of mindful driving of the user and the one or more additional characteristics of the user;
determining, by the computing device, a quality of the user as a perspective or existing customer based at least in part upon the level of mindful driving of the user and the one or more additional characteristics of the user;
determining, by the computing device, a level of carbon offset reward based at least in part upon the quality of the user as the perspective or existing customer; and
offering, by the computing device, an amount of carbon offset reward to the user based at least in part upon the level of carbon offset reward;
wherein:
the amount of carbon offset reward includes a first amount for planting one or more first trees at a first time and a second amount for planting one or more second trees at a second time;
each of the one or more first trees corresponds to a lifespan;
the first time precedes the second time by a time duration; and
the time duration is shorter than or equal to the lifespan.
2 . The method of claim 1 , wherein:
the one or more actions attributable to the user include the user making one or more vehicle trips; and
the determining, by the computing device, the plurality of characteristics related to the user based at least in part upon the one or more actions attributable to the user includes:
analyzing driving data associated with the one or more vehicle trips; and
determining the level of mindful driving of the user based at least in part upon the driving data.
3 . The method of claim 1 , wherein:
the one or more actions attributable to the user include the user making one or more vehicle trips; and
the determining, by the computing device, the plurality of characteristics related to the user based at least in part upon the one or more actions attributable to the user includes:
analyzing driving data associated with the one or more vehicle trips; and
determining the one or more additional characteristics of the user based at least in part upon the driving data, the one or more additional characteristics being the user reducing a number of the one or more vehicle trips.
4 . The method of claim 1 , wherein:
the one or more actions attributable to the user include the user making a trip between a particular pair of origination and destination points; and
the determining, by the computing device, the plurality of characteristics related to the user based at least in part upon the one or more actions attributable to the user includes:
analyzing trip data associated with the trip between the particular pair of origination and destination points; and
determining the one or more additional characteristics of the user based at least in part upon the trip data, the one or more additional characteristics being the user using an alternate form of transportation to make the trip between the particular pair of origination and destination points.
5 . The method of claim 1 , wherein:
the one or more actions attributable to the user include the user interacting with a mobile device; and
the determining, by the computing device, the plurality of characteristics related to the user based at least in part upon the one or more actions attributable to the user includes:
analyzing mobile device data associated with the user interacting with the mobile device; and
determining the one or more additional characteristics of the user based at least in part upon the mobile device data, the one or more additional characteristics being the user using an application installed on the mobile device for a certain number of times.
6 . The method of claim 1 , wherein
the one or more actions attributable to the user include the user interacting with a mobile device; and
the determining, by the computing device, the plurality of characteristics related to the user based at least in part upon the one or more actions attributable to the user includes:
analyzing mobile device data associated with the user interacting with the mobile device; and
determining the one or more additional characteristics of the user based at least in part upon the mobile device data, the one or more additional characteristics being the user referring a friend to use an application installed on the mobile device.
7 . The method of claim 1 , wherein the determining, by the computing device, the quality of the user as the perspective or existing customer based at least in part upon the level of mindful driving of the user and the one or more additional characteristics of the user includes:
determining a probability that the user will become a customer and an estimated revenue from the user if the user becomes the customer; and
determining an expected business value of the user based at least in part upon the probability that the user will become the customer and the estimated revenue from the user if the user becomes the customer, the expected business value of the user indicating the quality of the user.
8 . A computing device for offering a carbon offset reward corresponding to a user, the computing device comprising:
one or more processors; and
a memory storing instructions that, when executed by the one or more processors, cause the one or more processors to:
detect one or more actions attributable to the user;
determine a plurality of characteristics related to the user based at least in part upon the one or more actions attributable to the user, the plurality of characteristics including a level of mindful driving of the user and one or more additional characteristics of the user;
process information associated with the level of mindful driving of the user and the one or more additional characteristics of the user;
determine a quality of the user as a perspective or existing customer based at least in part upon the level of mindful driving of the user and the one or more additional characteristics of the user;
determine a level of carbon offset reward based at least in part upon the quality of the user as the perspective or existing customer; and
offer an amount of carbon offset reward to the user based at least in part upon the level of carbon offset reward;
wherein:
the amount of carbon offset reward includes a first amount for planting one or more first trees at a first time and a second amount for planting one or more second trees at a second time;
each of the one or more first trees corresponds to a lifespan;
the first time precedes the second time by a time duration; and
the time duration is shorter than or equal to the lifespan.
9 . The computing device of claim 8 , wherein:
the one or more actions attributable to the user include the user making one or more vehicle trips; and
the instructions that cause the one or more processors to determine the plurality of characteristics related to the user based at least in part upon the one or more actions attributable to the user further comprise instructions that cause the one or more processors to:
analyze driving data associated with the one or more vehicle trips; and
determine the level of mindful driving of the user based at least in part upon the driving data.
10 . The computing device of claim 8 , wherein:
the one or more actions attributable to the user include the user making one or more vehicle trips; and
the instructions that cause the one or more processors to determine the plurality of characteristics related to the user based at least in part upon the one or more actions attributable to the user further comprise instructions that cause the one or more processors to:
analyze driving data associated with the one or more vehicle trips; and
determine the one or more additional characteristics of the user based at least in part upon the driving data, the one or more additional characteristics being the user reducing a number of the one or more vehicle trips.
11 . The computing device of claim 8 , wherein:
the one or more actions attributable to the user include the user making a trip between a particular pair of origination and destination points; and
the instructions that cause the one or more processors to determine the plurality of characteristics related to the user based at least in part upon the one or more actions attributable to the user further comprise instructions that cause the one or more processors to:
analyze trip data associated with the trip between the particular pair of origination and destination points; and
determine the one or more additional characteristics of the user based at least in part upon the trip data, the one or more additional characteristics being the user using an alternate form of transportation to make the trip between the particular pair of origination and destination points.
12 . The computing device of claim 8 , wherein:
the one or more actions attributable to the user include the user interacting with a mobile device; and
the instructions that cause the one or more processors to determine the plurality of characteristics related to the user based at least in part upon the one or more actions attributable to the user further comprise instructions that cause the one or more processors to:
analyze mobile device data associated with the user interacting with the mobile device; and
determine the one or more additional characteristics of the user based at least in part upon the mobile device data, the one or more additional characteristics being the user using an application installed on the mobile device for a certain number of times.
13 . The computing device of claim 8 , wherein:
the one or more actions attributable to the user include the user interacting with a mobile device; and
the instructions that cause the one or more processors to determine the plurality of characteristics related to the user based at least in part upon the one or more actions attributable to the user further comprise instructions that cause the one or more processors to:
analyze mobile device data associated with the user interacting with the mobile device; and
determine the one or more additional characteristics of the user based at least in part upon the mobile device data, the one or more additional characteristics being the user referring a friend to use an application installed on the mobile device.
14 . The computing device of claim 8 , wherein the instructions that cause the one or more processors to determine the quality of the user as the perspective or existing customer based at least in part upon the level of mindful driving of the user and the one or more additional characteristics of the user further comprise instructions that cause the one or more processors to:
determine a probability that the user will become a customer and an estimated revenue from the user if the user becomes the customer; and
determine an expected business value of the user based at least in part upon the probability that the user will become the customer and the estimated revenue from the user if the user becomes the customer, the expected business value of the user indicating the quality of the user.
15 . A non-transitory computer-readable medium storing instructions for offering a carbon offset reward corresponding to a user, the instructions when executed by one or more processors of a computing device, cause the computing device to:
detect one or more actions attributable to the user;
determine a plurality of characteristics related to the user based at least in part upon the one or more actions attributable to the user, the plurality of characteristics including a level of mindful driving of the user and one or more additional characteristics of the user;
process information associated with the level of mindful driving of the user and the one or more additional characteristics of the user;
determine a quality of the user as a perspective or existing customer based at least in part upon the level of mindful driving of the user and the one or more additional characteristics of the user;
determine a level of carbon offset reward based at least in part upon the quality of the user as the perspective or existing customer; and
offer an amount of carbon offset reward to the user based at least in part upon the level of carbon offset reward;
wherein:
the amount of carbon offset reward includes a first amount for planting one or more first trees at a first time and a second amount for planting one or more second trees at a second time;
each of the one or more first trees corresponds to a lifespan;
the first time precedes the second time by a time duration; and
the time duration is shorter than or equal to the lifespan.
16 . The non-transitory computer-readable medium of claim 15 , wherein:
the one or more actions attributable to the user include the user making one or more vehicle trips; and
the instructions when executed by the one or more processors that cause the computing device to determine the plurality of characteristics related to the user based at least in part upon the one or more actions attributable to the user further cause the computing device to:
analyze driving data associated with the one or more vehicle trips; and
determine the level of mindful driving of the user based at least in part upon the driving data.
17 . The non-transitory computer-readable medium of claim 15 , wherein:
the one or more actions attributable to the user include the user making one or more vehicle trips; and
the instructions when executed by the one or more processors that cause the computing device to determine the plurality of characteristics related to the user based at least in part upon the one or more actions attributable to the user further cause the computing device to:
analyze driving data associated with the one or more vehicle trips; and
determine the one or more additional characteristics of the user based at least in part upon the driving data, the one or more additional characteristics being the user reducing a number of the one or more vehicle trips.
18 . The non-transitory computer-readable medium of claim 15 , wherein:
the one or more actions attributable to the user include the user making a trip between a particular pair of origination and destination points; and
instructions when executed by the one or more processors that cause the computing device to determine the plurality of characteristics related to the user based at least in part upon the one or more actions attributable to the user further cause the computing device to:
analyze trip data associated with the trip between the particular pair of origination and destination points; and
determine the one or more additional characteristics of the user based at least in part upon the trip data, the one or more additional characteristics being the user using an alternate form of transportation to make the trip between the particular pair of origination and destination points.
19 . The non-transitory computer-readable medium of claim 15 , wherein:
the one or more actions attributable to the user include the user interacting with a mobile device; and
the instructions when executed by the one or more processors that cause the computing device to determine the plurality of characteristics related to the user based at least in part upon the one or more actions attributable to the user further cause the computing device to:
analyze mobile device data associated with the user interacting with the mobile device; and
determine the one or more additional characteristics of the user based at least in part upon the mobile device data, the one or more additional characteristics being the user using an application installed on the mobile device for a certain number of times.
20 . The non-transitory computer-readable medium of claim 15 , wherein the instructions when executed by the one or more processors that cause the computing device to determine the quality of the user as the perspective or existing customer based at least in part upon the level of mindful driving of the user and the one or more additional characteristics of the user further cause the computing device to:
determine a probability that the user will become a customer and an estimated revenue from the user if the user becomes the customer; and
determine an expected business value of the user based at least in part upon the probability that the user will become the customer and the estimated revenue from the user if the user becomes the customer, the expected business value of the user indicating the quality of the user.