Segment adds a host of information, such as userId, IP address, location, browser type, UTM tracking codes, etc. Whalr then adds its own contextual information, such as how often a person visits, how big the company he works for is, etc. The more detail Whalr has, the better our machine learning algorithms can learn the contextual clues that reflect buying behaviour, and notify you which customers are exhibiting this behavior. Whalr analyzes profiles, events, engagement (by individuals and groups), and many other metrics to predict which customers will buy based on matching their behavior to past buying behaviors observed. Just as Netflix can recommend a movie with 90% confidence, Whalr can tell you a customer will convert with 90% probability. Stop wasting your time trying to chase every contact, or ignoring valuable contacts just because they signed up with a gmail address! Whalr isn't analytics, it's customer-specific, and it empowers your sales team to do what they do best--sell!
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