ReTargeter

ReTargeter, developed by Inuvo, Inc., is a retargeting or remarketing solution aimed at helping companies engage with website visitors who do not convert on their initial visit. According to the vendor, this tool allows marketers to keep their brand in front of bounced traffic and deliver personalized display advertising experiences. ReTargeter caters to businesses of all sizes, including both Business-to-Business (B2B) and Direct-to-Consumer (B2C) organizations. It is widely used by marketing professionals, advertising agencies, e-commerce companies, retailers, as well as travel and hospitality companies.

Key Features

Site ReTargeting: According to the vendor, ReTargeter's Site ReTargeting feature enables advertisers to deliver ads to their website audience as they browse the web. By placing a small, unobtrusive piece of code (pixel) on the website, an anonymous browser cookie is dropped on the visitors' devices. This allows advertisers to serve ads to people who have previously visited the website.

CRM ReTargeting: ReTargeter's CRM ReTargeting feature allows advertisers to serve display ads using just an email or mailing address. The vendor claims it maps personally identifiable customer data to anonymized user IDs using identity graphing technology, ensuring the protection of customer information while enabling targeting across the web.

Search ReTargeting: According to the vendor, ReTargeter's Search ReTargeting feature serves targeted ads to in-market prospects at the keyword level, bridging the gap between search and display. Advertisers can create a custom audience of new prospects based on uploaded lists of keywords and search terms, reaching audiences who have shown intent for their products or services during web browsing.

Contextual Targeting: ReTargeter's Contextual Targeting feature leverages natural language processing and machine learning to connect keywords and expressions with the broader intent or topic of a webpage. Advertisers can target by pre-constructed categories, keyword contents, or combinations of the two, ensuring ads are served in a contextually relevant manner.

Audience Targeting: According to the vendor, ReTargeter's Audience Targeting feature provides access to hundreds of data provider partnerships to create custom target audiences. Advertisers can build unique target audiences using a mix of demographic, geographic, behavioral, interest, and intent-based data, selecting the right audience segment and vendor for their campaign goals.

Look-Alike Modeling: ReTargeter's Look-Alike Modeling feature uses offline and online data to create custom people-based audiences that resemble the best performing retargeting audiences. According to the vendor, machine learning analyzes the behavior of users who perform a specific conversion event online and creates a custom audience with similar attributes, helping advertisers reach potential customers who are likely to convert.