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公开(公告)号：US11127024B2
公开(公告)日：2021-09-21
申请号：US16660466
申请日：2019-10-22
发明人： Amanda Kahlow
摘要： Computer implemented sales prediction system collects data relating to events of visitors showing an interest in a client company from plural data sources, an organization module which organizes collected data into different event types and separates collected event counts in each event type between non-recent and recent events occurring within a predetermined time period, a first processing module which periodically calculates weighting for each event type based on recent and non-recent events for the event type compared to totals for other selected event types, a second processing module which periodically calculates sales prediction scores for each visitor and companies with which visitors are associated based on accumulated event data and weighting, and a reporting and data extract module which is configured to detect variation in sales prediction scores over time to identify spikes which can predict upcoming sales and to provide predicted sales information and leads to the client company.
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公开(公告)号：US20210105249A1
公开(公告)日：2021-04-08
申请号：US17127624
申请日：2020-12-18
发明人： Viral BAJARIA , Premal SHAH , Nitin VIJAYVARGIYA , Dustin CHANG
摘要： Mapping anonymous Internet entities to known accounts. In an embodiment, events, representing online activity and comprising IP addresses, are received from a plurality of sources. Subsets of the events are aggregated into mappings that associate the IP address, shared by the subset, with an account. Each mapping is associated with statistics regarding the events. A confidence value is calculated for each mapping based on the statistics, and a final subset of the mappings is selected based on the confidence values. Subsequently, when a request with an IP address is received, the final subset of mappings is searched for the requested IP address, and an indication of the account associated with the requested IP address is returned in response to the request.
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公开(公告)号：US20220383125A1
公开(公告)日：2022-12-01
申请号：US17828361
申请日：2022-05-31
发明人： Rohit KEWALRAMANI , Justin CHIEN
IPC分类号： G06N3/08 , G06N3/04 , G06F16/28 , G06F16/955 , G06Q30/00
摘要： Machine-learning-aided automatic taxonomy for marketing automation and customer relationship management. In an embodiment, a plurality of machine-learning models are trained to classify activity records into action, channel, and type classes, using a training dataset of annotated features. During operation, relevant features may be extracted from each activity record, and each model may be applied to a respective set of those features to classify the activity record into an action class, channel class, and type class. These classes may then be stored in association with the activity record as a taxonomized activity record.
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公开(公告)号：US20220358522A1
公开(公告)日：2022-11-10
申请号：US17736366
申请日：2022-05-04
发明人： Daniel CARMODY , Tanvi SHAH , Amar DOSHI , Alex LIN , Steven SASSMAN , Yulia TYUTINA , Viral BAJARIA , Aditya MAJUMDAR
摘要： AI-based orchestration. In an embodiment, a recommendation engine is applied to a data pipeline representing company accounts. Engagement metric(s) are calculated based on activity data associated with the company accounts, and predictive model(s) are applied to the activity data and/or firmographic data associated with the company accounts to generate predictive output. A tactic recommendation model is applied to orchestration features, comprising the engagement metric(s) and predictive output, to generate recommended tactic(s). In addition, a contact recommendation model is applied to contact data to generate recommended contact(s). The recommended tactic(s) are combined with the recommend contact(s) to generate an orchestration, comprising recommended action(s), to be executed.
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公开(公告)号：US20200051099A1
公开(公告)日：2020-02-13
申请号：US16660466
申请日：2019-10-22
发明人： Amanda KAHLOW
摘要： Computer implemented sales prediction system collects data relating to events of visitors showing an interest in a client company from plural data sources, an organization module which organizes collected data into different event types and separates collected event counts in each event type between non-recent and recent events occurring within a predetermined time period, a first processing module which periodically calculates weighting for each event type based on recent and non-recent events for the event type compared to totals for other selected event types, a second processing module which periodically calculates sales prediction scores for each visitor and companies with which visitors are associated based on accumulated event data and weighting, and a reporting and data extract module which is configured to detect variation in sales prediction scores over time to identify spikes which can predict upcoming sales and to provide predicted sales information and leads to the client company.
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公开(公告)号：US20220391453A1
公开(公告)日：2022-12-08
申请号：US17828910
申请日：2022-05-31
发明人： Rohit KEWALRAMANI , Justin CHIEN
IPC分类号： G06F16/951 , G06F40/205 , G06N3/08 , G06N3/04
摘要： Machine-learning-aided automatic taxonomy for web data. In an embodiment, a training dataset of annotated features is used to train a model to predict a class in a taxonomy of web-based activities. The features may be derived from a uniform resource locator (URL) of an online resource and associated metadata. During operation, the features may be extracted from the URL and metadata of each activity record in web data. The trained model may be applied to the extracted features for each activity record to predict a class within the taxonomy. The predicted taxonomic class may be stored in association with the URL that was extracted from the activity record to produce a taxonomized URL.
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公开(公告)号：US20220067760A1
公开(公告)日：2022-03-03
申请号：US17470987
申请日：2021-09-09
发明人： Amanda KAHLOW
摘要： Computer implemented sales prediction system collects data relating to events of visitors showing an interest in a client company from plural data sources, an organization module which organizes collected data into different event types and separates collected event counts in each event type between non-recent and recent events occurring within a predetermined time period, a first processing module which periodically calculates weighting for each event type based on recent and non-recent events for the event type compared to totals for other selected event types, a second processing module which periodically calculates sales prediction scores for each visitor and companies with which visitors are associated based on accumulated event data and weighting, and a reporting and data extract module which is configured to detect variation in sales prediction scores over time to identify spikes which can predict upcoming sales and to provide predicted sales information and leads to the client company.
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公开(公告)号：US20180018685A1
公开(公告)日：2018-01-18
申请号：US15698464
申请日：2017-09-07
发明人： Amanda KAHLOW
CPC分类号： G06Q30/0202 , G06Q30/0246 , G06Q30/0256 , G06Q30/0271 , H04L67/22
摘要： Computer implemented sales prediction system collects data relating to events of visitors showing an interest in a client company from plural data sources, an organization module which organizes collected data into different event types and separates collected event counts in each event type between non-recent and recent events occurring within a predetermined time period, a first processing module which periodically calculates weighting for each event type based on recent and non-recent events for the event type compared to totals for other selected event types, a second processing module which periodically calculates sales prediction scores for each visitor and companies with which visitors are associated based on accumulated event data and weighting, and a reporting and data extract module which is configured to detect variation in sales prediction scores over time to identify spikes which can predict upcoming sales and to provide predicted sales information and leads to the client company.
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公开(公告)号：US20220217115A1
公开(公告)日：2022-07-07
申请号：US17700167
申请日：2022-03-21
发明人： Viral BAJARIA , Premal SHAH , Nitin VIJAYVARGIYA , Dustin CHANG
IPC分类号： H04L61/4552 , H04L101/69 , G06F17/18 , H04L67/306 , G06F9/54 , H04L67/50
摘要： Mapping anonymous Internet entities to known accounts. In an embodiment, events, representing online activity and comprising IP addresses, are received from a plurality of sources. Subsets of the events are aggregated into mappings that associate the IP address, shared by the subset, with an account. Each mapping is associated with statistics regarding the events. A confidence value is calculated for each mapping based on the statistics, and a final subset of the mappings is selected based on the confidence values. Subsequently, when a request with an IP address is received, the final subset of mappings is searched for the requested IP address, and an indication of the account associated with the requested IP address is returned in response to the request.
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公开(公告)号：US11283761B2
公开(公告)日：2022-03-22
申请号：US17127624
申请日：2020-12-18
发明人： Viral Bajaria , Premal Shah , Nitin Vijayvargiya , Dustin Chang
IPC分类号： H04L29/12 , G06F17/18 , H04L29/08 , G06F9/54 , H04L61/4552 , H04L101/69 , H04L67/306 , H04L67/50
摘要： Mapping anonymous Internet entities to known accounts. In an embodiment, events, representing online activity and comprising IP addresses, are received from a plurality of sources. Subsets of the events are aggregated into mappings that associate the IP address, shared by the subset, with an account. Each mapping is associated with statistics regarding the events. A confidence value is calculated for each mapping based on the statistics, and a final subset of the mappings is selected based on the confidence values. Subsequently, when a request with an IP address is received, the final subset of mappings is searched for the requested IP address, and an indication of the account associated with the requested IP address is returned in response to the request.
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