Infer helps to align sales and marketing teams by focusing joint efforts on the leads that are most likely to convert. Both teams can use Infer's lead ranking system to see which leads are top priority and which score badly. Infer's lead scoring model is based on numerous external signals, along with internal data, which is constantly being updated. Signals include employee count, job openings, web presence, social presence, technology vendors, patents, trademarks and more.
Data Science: Infer uses advanced machine learning to calculate a lead score for every new prospect by statistically comparing historical data with newly constructed profiles. Infer Smart Signals: Lead scores in Infer are calculated using data from multiple external sources, combined with internal sources. All this data is available to view and import into other systems through Smart Signals.Multiple External Sources: Infer takes into consideration a range of external data. This includes: social media presence, geography, corporate structure, employee count Marketo.