Lead Scoring Rating how likely a consumer inquiry is to convert, using validity, intent, and vertical signals

Lead scoring is the practice of rating a consumer inquiry's quality and likelihood to convert by analyzing signals such as contact validity, intent, and vertical-specific qualifiers. Instead of treating every inquiry the same, a scoring model weighs these data points to predict whether a lead is worth pursuing. Dreamy Leads uses a 14-signal, 0-100 model with a network floor of 50 that a lead must meet before it enters the auction. The exact signals and weights vary by platform and vertical, but the goal is consistent: surface leads more likely to result in a real, contactable consumer with genuine interest. Higher scores typically reflect stronger contact data and clearer intent, while low-scoring inquiries are often filtered out before they reach buyers. Scoring helps match the right consumer to the right advertiser efficiently.