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Malware Scan Info
Macafee Check :
Email address with predictspring.com
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Domain Informations
Predictspring.com lookup results from whois.godaddy.com server:
- Domain created: 2013-03-15T00:46:55Z
- Domain updated: 2023-02-23T19:00:24Z
- Domain expires: 2026-03-15T00:46:55Z 1 Year, 114 Days left
- Website age: 11 Years, 250 Days
- Registrar Domain ID: 1786484234_DOMAIN_COM-VRSN
- Registrar Url: http://www.godaddy.com
- Registrar WHOIS Server: whois.godaddy.com
- Registrar Abuse Contact Email: [email protected]
- Registrar Abuse Contact Phone: 480-624-2505
- Name server:
- PDNS09.DOMAINCONTROL.COM
- PDNS10.DOMAINCONTROL.COM
Network
- inetnum : 75.2.0.0 - 75.2.191.255
- name : AMAZO-4
- handle : NET-75-2-0-0-1
- status : Direct Allocation
- created : 2005-09-29
- changed : 2022-09-30
- desc : For details of this service please see,http://ec2.amazonaws.com
Owner
- organization : Amazon.com, Inc.
- handle : AMAZO-4
- address : Array,Seattle,WA,98108-1226,US
Abuse
- handle : AEA8-ARIN
- name : Amazon EC2 Abuse
- phone : +1-206-555-0000
- email : [email protected]
Technical support
- handle : ANO24-ARIN
- name : Amazon EC2 Network Operations
- phone : +1-206-555-0000
- email : [email protected]
Domain Provider | Number Of Domains |
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godaddy.com | 712800 |
networksolutions.com | 276476 |
namecheap.com | 252856 |
tucows.com | 147118 |
publicdomainregistry.com | 113996 |
whois.godaddy.com | 80987 |
enomdomains.com | 63199 |
namesilo.com | 58431 |
gmo.jp | 55777 |
cloudflare.com | 52888 |
register.com | 49752 |
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ionos.com | 38149 |
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name.com | 36228 |
registrar.amazon.com | 34066 |
wildwestdomains.com | 33736 |
key-systems.net | 32656 |
Host Informations
Host name | aacb0a264e514dd48.awsglobalaccelerator.com |
IP address | 75.2.70.75 |
Location | Seattle United States |
Latitude | 47.54 |
Longitude | -122.3032 |
Metro Code | 819 |
Timezone | America/Los_Angeles |
Postal | 98108 |
Port Scanner (IP: 75.2.70.75)
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Site Inspections
Overview & More informations
PredictSpring is a privately held company that provides cloud-based predictive analytics software for businesses of all sizes. The company was founded in 2010 and is headquartered in San Francisco, California. PredictSpring's software uses artificial intelligence (AI) and machine learning to analyze data from a variety of sources, including CRM systems, marketing automation platforms, and social media. This data is used to create predictive models that can help businesses identify opportunities and risks, and make better decisions.
PredictSpring's software is used by a variety of businesses, including Fortune 500 companies and small businesses. The company's customers use PredictSpring's software to improve their sales, marketing, and customer service operations.
PredictSpring has received positive reviews from customers and industry analysts. The company has been recognized as a leader in the predictive analytics market by Forrester Research and Gartner.
Here are some of the key features of PredictSpring's software:
* **Predictive lead scoring:** PredictSpring's software can help businesses identify which leads are most likely to convert into customers. This information can help businesses prioritize their sales efforts and focus on the leads that are most likely to generate revenue.
* **Customer churn prediction:** PredictSpring's software can help businesses identify customers who are at risk of churning. This information can help businesses take steps to retain these customers and reduce churn.
* **Opportunity identification:** PredictSpring's software can help businesses identify opportunities to grow their business. This information can help businesses develop new products and services, expand into new markets, and increase their market share.
* **Risk assessment:** PredictSpring's software can help businesses identify risks to their business. This information can help businesses take steps to mitigate these risks and protect their business.
PredictSpring's software is a valuable tool for businesses of all sizes. The company's software can help businesses improve their sales, marketing, and customer service operations.
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