Systems and methods for generating performance profiles using electronic activities matched with record objects

Patent metadata

Field	Value
Publication number	US-10649999-B2
Application number	US-201916421328-A
Country	US
Kind code	B2
Filing date	May 23, 2019
Priority date	May 24, 2018
Publication date	May 12, 2020
Grant date	May 12, 2020

Abstract

Methods and systems for generating performance profiles using electronic activities linked to record objects are disclosed. Exemplary implementations may: access a record objects of a system of record of a data source provider; identify, from the record objects, a subset of record objects associated with a node profile corresponding to an entity; identify, for each record object of the subset, electronic activities linked to the record object; determine, for each record object of the subset, a respective entity engagement profile for the entity based on the electronic activities linked to the record object and one or more object field-value pairs of the record object; generate a composite entity engagement profile of the entity based on each respective entity engagement profile corresponding to each record object of the subset of record objects; and store, in one or more data structures, an association between the entity and the entity performance profile.

First claim

What is claimed is:

1. A method comprising:
accessing, by one or more processors, a plurality of first record objects of a system of record of a data source provider, each first record object of the plurality of first record objects comprising one or more object fields having one or more object field values, each of the plurality of first record objects associated with one or more electronic activities;
identifying, by the one or more processors, from the plurality of first record objects, a subset of first record objects associated with a node profile corresponding to an entity;
identifying, by the one or more processors, for each first record object of the subset of first record objects, electronic activities linked to the first record object;
determining, by the one or more processors, for each first record object of the subset of first record objects, a respective entity engagement profile for the entity based on i) the electronic activities linked to the first record object and ii) one or more object field-value pairs of the first record object;
generating, by the one or more processors, a composite entity engagement profile of the entity based on each respective entity engagement profile corresponding to each first record object of the subset of first record objects;
storing, by the one or more processors, in one or more data structures, an association between the entity and the composite entity engagement profile;
identifying, by the one or more processors, a second record object having one or more object field-value pairs; and
matching, by the one or more processors, the second record object with the entity based on i) the composite entity engagement profile of the entity and ii) the one or more object field-value pairs of the second record object.

2. The method of claim 1 ,
matching the second record object with the entity based on i) the composite entity engagement profile of the entity, ii) the object-field value pairs of the second record object, and iii) the electronic activities linked to the second record object.

3. The method of claim 2 , further comprising:
identifying, by the one or more processors, one or more participants of the electronic activities linked to the second record object;
determining, by the one or more processors, that the identified one or more participants match participants of electronic activities linked to record objects of the subset of record objects; and
matching, by the one or more processors, the second record object with the entity based on i) the composite entity engagement profile, ii) the object-field value pairs of the second record object, iii) the electronic activities linked to the second record object, and iv) the one or more participants of the electronic activities linked to the second record object that match the participants of electronic activities linked to the first record objects of the subset of first record objects.

4. The method of claim 1 , wherein the entity is a first member entity of a first group entity and wherein the one or more object field-value pairs of the second record object correspond to a first field identifying a size value of the second record object or a second field identifying a second group entity of the second record object.

5. The method of claim 1 , wherein the entity is a first member entity and wherein the one or more object field-value pairs of the second record object correspond to a first field identifying a second entity linked to a first group entity to which the first member entity is linked and a second field identifying a third member entity linked to a second group entity.

6. The method of claim 1 , further comprising:
determining, by the one or more processors, a classification of each first record object based on the one or more object field-value pairs of the respective first record object, wherein the entity engagement profile corresponding to the first record is determined based on the classification of the first record object.

7. The method of claim 6 , further comprising:
determining, by the one or more processors, a status of each first record object based on a field-value pair of the respective first record object, wherein the composite entity engagement profile corresponding to the first record is determined based on the classification of the first record object.

8. The method of claim 1 , wherein the entity is a first entity, the node profile is a first node profile, and the composite entity engagement profile is a first composite entity engagement profile, further comprising:
identifying, by the one or more processors, a second node profile of a second entity associated with the second record object;
identifying, by the one or more processors, a second composite entity engagement profile corresponding to the second node profile; and
generating, by the one or more processors, a match score between the first composite entity engagement profile and the second composite entity engagement profile, wherein matching the second record object to the first entity is performed responsive to the match score satisfying a threshold.

9. The method of claim 8 , wherein generating the match score comprises:
applying, by the one or more processors, an engagement profile matching policy to the first composite entity engagement profile and the second composite entity engagement profile, the engagement profile matching policy being configured to generate the match score based on complementary characteristics within the first composite entity engagement profile and the second composite entity engagement profile.

10. A system comprising:
one or more processors configured by machine-readable instructions to:
access a plurality of first record objects of a system of record of a data source provider, each first record object of the plurality of first record objects comprising one or more object fields having one or more object field values, each of the plurality of first record objects associated with one or more electronic activities;
identify, from the plurality of first record objects, a subset of first record objects associated with a node profile corresponding to an entity;
identify, for each first record object of the subset of first record objects, electronic activities linked to the first record object;
determine, for each first record object of the subset of first record objects, a respective entity engagement profile for the entity based on i) the electronic activities linked to the first record object and ii) one or more object field-value pairs of the first record object;
generate a composite entity engagement profile of the entity based on each respective entity engagement profile corresponding to each first record object of the subset of first record objects;
store, in one or more data structures, an association between the entity and the composite entity engagement profile;
identify a second record object having one or more object field-value pairs; and
match the second record object with the entity based on i) the composite entity engagement profile of the entity and ii) the one or more object field-value pairs of the second record object.

11. The system of claim 10 , wherein the one or more processors are further configured by machine-readable instructions to:
match the second record object with the entity is based on i) the composite entity engagement profile of the entity, ii) the object-field value pairs of the second record object, and iii) the electronic activities linked to the second record object.

12. The system of claim 11 , wherein the one or more processors are further configured by machine-readable instructions to:
identify one or

Assignees

• People Ai Inc

Inventors

• Rogynskyy Oleg
• Brunets Yurii
• Jeske Eric
• Dingwall Nicholas

Classifications

• G06N5/025

  Extracting rules from data · CPC title

• G06N5/022

  Knowledge engineering; Knowledge acquisition · CPC title

• G06N20/00

  Machine learning · CPC title

• G06F21/6218

  to a system of files or objects, e.g. local or distributed file system or database · CPC title

• G06Q10/10

  Office automation; Time management · CPC title