Twitter has rolled out two new prongs to its "Tailored Audiences" targeting regime, which debuted last month as a vehicle strictly for website retargeting.
Among the new segmenting features are CRM matching and Twitter ID targeting. The latter allows the serving of ads based on a user's public characteristics, such as keywords appearing in a user's Twitter biography.
Twitter's CRM match program will be familiar to any marketers with experience using Facebook's Custom Audiences tools. Using it, ad buyers can match their email database of existing customer against Twitter's audience to deliver paid messages across the social network's desktop and mobile platforms. Database marketing companies, including Merkle, Acxiom, Datalogix, Epsilon, LiveRamp, MailChimp and Salesforce ExactTarget support the program.
CRM matching customers craving more granularity can use exclusion targeting, where a segment (e.g., recent shoppers) is removed from a Twitter audience segment. Those wanting broader targeting can use lookalike modeling, where Twitter will broaden a customer's audience by comparing existing customers to its users.
Paul Steketee, Merkle's head of paid social and emerging media, said based on his company's early experiments, Twitter's lookalike targeting creates audience segments two to five times larger than CRM matching on its own. (More results in Merkle's blog post.)
"The data they're able to use to create lookalikes is rich and unique to the platform," Steketee said. "You can't get it anywhere else. If a group of people are following certain people, or interacting with a tweet or hashtag, Twitter is able to identify those associations in real time."