Methods and apparatus to identify affinity between segment attributes and product characteristics
Methods, apparatus, systems and articles of manufacture are disclosed to identify affinity between segment attributes and product characteristics. An example method includes identifying, with a processor, a set of product characteristics from purchase transactions that exhibit a threshold product affinity, selecting, with the processor, a set of products having at least one product characteristic from the set of product characteristics that exhibit the threshold product affinity, the set of products associated with first segments, extracting, with the processor, segment attributes from the first segments, and improving a market success of the product of interest by identifying, with the processor, target segments based on ones of the extracted segment attributes exhibiting a threshold segment affinity.
1. An apparatus to improve marketability of a product of interest, the apparatus comprising:
a segment attribute retriever to identify an attribute associated with a target consumer segment of interest; and
an affinity manager to:
determine an affinity between the attribute and a product characteristic relative to a threshold affinity, the product characteristic unassociated with the product of interest;
reduce an occurrence of an error in modifying the product of interest with the product characteristic by verifying a compatibility level between the product characteristic and the product of interest; and
modify the product of interest to include the product characteristic based on the threshold affinity and the compatibility level, the affinity manager to apply one or more rules to prevent modification of the product of interest as including an incompatible product characteristic.
2. The apparatus of claim 1 , wherein the affinity manager is to identify the product characteristic based on one or more purchase transactions.
3. The apparatus of claim 1 , wherein the target consumer segment of interest is a first target consumer segment of interest and the segment attribute retriever is to identify a second target consumer segment of interest based on the attribute, the first target consumer segment of interest and the second target consumer segment of interest forming a set, the affinity manager to determine the affinity between the attribute and the product characteristic relative to the threshold affinity for the set.
4. The apparatus of claim 1 , wherein the affinity manager is to verify the compatibility level relative to an existing product characteristic of the product of interest.
5. The apparatus of claim 1 , wherein the product characteristic is a first product characteristic and the affinity manager is to:
identify an affinity between the attribute and a second product characteristic; and
modify the product of interest to include the second product characteristic when the second product characteristic is not already associated with the product of interest.
6. The apparatus of claim 1 , wherein the attribute is a first attribute and the affinity manager is to further modify the product of interest based on a second attribute associated with the target consumer segment of interest.
7. The apparatus of claim 1 , wherein the product characteristic includes at least one of a product size, a brand, a flavor, or a product package type.
8. The apparatus of claim 1 , wherein the attribute includes at least one of a demographical attribute, a geographical attribute, or a behavioral attribute.
9. The apparatus of claim 1 , wherein the target consumer segment of interest is unassociated with the product of interest.
10. A non-transitory computer readable storage medium comprising instructions that, when executed, cause a machine to at least:
identify an attribute associated with a target consumer segment of interest;
determine an affinity between the attribute and a product characteristic relative to a threshold affinity, the product characteristic unassociated with a product of interest;
reduce an occurrence of an error in modifying the product of interest with the product characteristic by verifying a compatibility level between the product characteristic and the product of interest; and
modify the product of interest to include the product characteristic based on the threshold affinity and the compatibility level, the modifying of the product of interest including applying one or more rules to prevent modification of the product of interest as including an incompatible product characteristic.
11. The non-transitory computer readable storage medium of claim 10 , wherein the instructions, when executed, further cause the machine to identify the product characteristic based on one or more purchase transactions.
12. The non-transitory computer readable storage medium of claim 10 , wherein the target consumer segment of interest is a first target consumer segment of interest and wherein the instructions, when executed, further cause the machine to:
identify a second target consumer segment of interest based on the attribute, the first target consumer segment of interest and the second target consumer segment of interest forming a set; and
determine the affinity between the attribute and the product characteristic relative to the threshold affinity for the set.
13. The non-transitory computer readable storage medium of claim 10 , wherein the instructions, when executed, further cause the machine to verify the compatibility level relative to an existing product characteristic of the product of interest.
14. The non-transitory computer readable storage medium of claim 10 , wherein the product characteristic is a first product characteristic and the instructions, when executed, further cause the machine to:
identify an affinity between the attribute and a second product characteristic; and
modify the product of interest to include the second product characteristic when the second product characteristic is not already associated with the product of interest.
15. The non-transitory computer readable storage medium of claim 10 , wherein the attribute is a first attribute and the instructions, when executed, further cause the machine to modify the product of interest based on a second attribute associated with the target consumer segment of interest.
16. The non-transitory computer readable storage medium of claim 10 , wherein the product characteristic includes one or more of a product size, a brand, a flavor, or a product package type.
17. The non-transitory computer readable storage medium of claim 10 , wherein the attribute includes one or more of a demographical attribute, a geographical attribute, or a behavioral attribute.
18. A method comprising:
identifying, by executing an instruction with at least one processor, an attribute associated with a target consumer segment of interest;
determining, by executing an instruction with the at least one processor, an affinity between the attribute and a product characteristic relative to a threshold affinity, the product characteristic unassociated with a product of interest;
reducing an occurrence of an error in modifying the product of interest with the product characteristic by verifying, by executing an instruction with the at least one processor, a compatibility level between the product characteristic and the product of interest; and
modifying, by executing an instruction with the at least one processor, the product of interest to include the product characteristic based on the threshold affinity and the compatibility level, the modifying of the product of interest including applying one or more rules to prevent modification of the product of interest as including an incompatible product characteristic.
19. The method of claim 18 , wherein the verifying of the compatibility level is based on an existing product characteristic of the product of interest.
20. The method of claim 18 , wherein the target consumer segment of interest is a first target consumer segment of interest and further including:
identifying a second target consumer segment of interest based on the attribute, the first target consumer segment of interest and the second target consumer segment of interest forming a set; and
determining the affinity between the attribute and the product characteristic relative to the threshold affinity for the set.