eContent Scorer


Overview

What techniques does it cover?

How does it work?

What are the benefits?

Why Pivotal Veracity?



Are you qualified to use eContent Scorer?



What techniques does it cover?

ISPs, Corporations, and individuals have hundreds of applications and dozens of methodologies to choose from in their fight against spam. For any content optimization tool to be truly effective, it must cover the spectrum of anti-spam techniques being deployed and must incorporate these techniques as rapidly as they are introduced.
e-Content Scorer (ECS) offers legitimate mailers the opportunity to score, analyze and improve their email content prior to sending a campaign. eContent Scorer incorporates a broad spectrum of methodologies into a single engine and allows you to simultaneously optimize your email across:

Solutions that are used at each level of the filtering process.
A comprehensive range of methodologies from the simplest used by end-users to the most complex used by the largest ISPs.
A broad cross-section of anti-spam products including market leaders at all levels.
Rules that both increase your chances of being blocked as well as those rules that actively decrease your probability of being blocked.


eContent Scorer Allows you to Optimize your Message across all relevant dimensions
SMTP and Sender Based Analysis
 Content Based Analysis
 Applications / Tools
 Gateway, Server, Desktop Levels
Insecure Form Mail

Open Proxy Server

Open Relay

Reverse DNS Enabled

Unsubscribe Provisions

Bonded Sender

Habeas Warrant

Trusted Sender

60+ Real Time Black Lists
 1500+ Content Rules

Bayesian/ Adaptive Learning Filters

Community/ Collaborative Filters

Heuristics-based Filters

Key Word Matching

Signature Based / Fuzzy Logic filters
 Brightmail AntiSpam

Cloudmark Spamnet

McAffee Spamkiller

Message Labs Skyscan

ORDB

Osirusoft

Razor

Spam Assassin

Spam Catcher

Spam Cop

+ over 30 others
 Typically Used
at Gateway or Server Level:

Black Lists

Sender Certification

Sender Identification

Spam Traps

Typically used at Desktop:

Bayesian Filter

Collaborative Filtering

Heuristic Filter

Key Word Matching