Keyword Analysis & Research: scamanalytic


Keyword Analysis

Keyword CPC PCC Volume Score Length of keyword
scamanalytic0.930.833098512

Keyword Research: People who searched scamanalytic also searched

Keyword CPC PCC Volume Score
scamanalytic1.640.694690

Search Results related to scamanalytic on Search Engine

  • Scamalytics

    scamalytics.com

    https://scamalytics.com/

    WebScamalytics provide security products to businesses, to help them detect and prevent fraud. Our products work at two different levels: We detect high-risk connections to your online services, in the form of an IP fraud score for each IP address, which you can check using our IP address lookup and API.

    DA: 9 PA: 32 MOZ Rank: 47

  • IP Address Fraud Check - Scamalytics

    scamalytics.com

    https://scamalytics.com/ip

    WebIP Address Fraud Check. Lookup any IP address to fraud check that IP. Check the fraud score, view supporting information including true country, operator, proxy status, and Tor status. High Risk IP Addresses. IP Address data partner DB …

    DA: 59 PA: 58 MOZ Rank: 98

  • Scamalytics Unveils New Brand | Scamalytics

    scamalytics.com

    https://scamalytics.com/scamalytics-unveils-new-brand/

    WebSep 8, 2016 · Scamalytics Unveils New Brand | Scamalytics. Posted by charly on September 8, 2016. In recent months, the Scamalytics software has garnered increasing attention from consumer media. “Every month Scamalytics identifies over a quarter of a million fake profiles and prevents romance scammers from accessing the dating sites in …

    DA: 65 PA: 17 MOZ Rank: 54

  • Scamalytics Company Profile - Craft

    craft.co

    https://craft.co/scamalytics

    WebScamalytics is a company that provides an anti-fraud solution helping businesses to detect scammers automatically. It combines machine learning, text-pattern analysis, shared blocklists, image recognition, and other features to detect and remove scammers from dating websites. Type. Private. Status. Active. Founded. 2011. HQ.

    DA: 71 PA: 98 MOZ Rank: 41

  • Scamalytics - Crunchbase Company Profile & Funding

    crunchbase.com

    https://www.crunchbase.com/organization/scamalytics-ltd

    WebScamalytics maintain the largest shared anti-fraud database dedicated to the online dating industry. They help dating sites to eliminate: - Chargebacks. - Affiliate fraud. - Camgirl fraud. - Redirection fraud. - Romance scams. - Fake profiles. Their systems combine behavioural analysis of users, shared blacklists, pattern matching and image.

    DA: 34 PA: 82 MOZ Rank: 65

  • Scamalytics (@Scamalytics) | Twitter

    twitter.com

    https://twitter.com/scamalytics

    WebWe would like to show you a description here but the site won’t allow us.

    DA: 56 PA: 23 MOZ Rank: 94

  • Scamalytics | RecSys

    recsys.com

    https://recsys.com/products/scamalytics/

    WebScam alytics - Stop scammers dead. Analyze scammer behavior. Scammers behave differently to genuine users. Our advanced machine learning algorithms are trained to detect these differences. Other Tests Include: IP addresses, profile photos, profile data, true country vs stated country, device ID and more. Minimize false positives.

    DA: 68 PA: 18 MOZ Rank: 91

  • How Scamalytics Works to Prevent Fraud: An Overview - Tananet

    tananet.net

    https://tananet.net/scamalytics/

    WebFeb 25, 2023 · Scamalytics works by analyzing data and patterns of behavior to identify and prevent fraud. Here is a general overview of how the company’s technology works: Data Collection: Scamalytics collects data from various sources, including user profiles, login records, and payment information.

    DA: 76 PA: 2 MOZ Rank: 24

  • Exploring Scam Analytics: 7+ Tips for Frontline Defense Against …

    datadrivendaily.com

    https://datadrivendaily.com/scam-analytics-tips-for-frontline-defense/

    WebMar 22, 2023 · Scam Analytics refers to the suite of advanced analytical techniques and tools used to detect and prevent scams and frauds online. It leverages data mining, machine learning, predictive modeling, and other AI technologies to spot anomalies, patterns, or suspicious behavior that indicate possible scamming activities.

    DA: 15 PA: 19 MOZ Rank: 93

  • Fake online reviews cost $152 billion a year. Here's how e …

    weforum.org

    https://www.weforum.org/agenda/2021/08/fake-online-reviews-are-a-152-billion-problem-heres-how-to-silence-them/

    WebAug 10, 2021 · Jonathan Marciano. While there are well-intentioned valid users creating online reviews, there are also malicious users and bots. Translating this into economic impact, the direct influence of fake online reviews on global online spending is $152 billion.

    DA: 31 PA: 9 MOZ Rank: 40