Forbes Connect sits on an 18M+ profile CDP. It turns anonymous readers into known contacts and routes them into nurture in Pardot or to a seller in Salesforce.
A media site mostly knows its audience in aggregate. Pageviews tell you what got read but nothing about who's in market. If the business was going to make money from known people, something had to turn readers into known profiles and then do something with them.
Forbes Connect launched on a BlueConic CDP holding 18M+ profiles. Audiences are built from what people read and do on our own site, and on-site dialogues ask each reader for something based on that. Somebody three stories deep into a topic sees a different ask than a first-timer.
We ask for one or two fields per interaction, because nobody fills out a twelve-field form. The profile fills in over a few visits, and nobody ever sees a long form.
A new profile lands in Pardot for nurture or with a seller in Salesforce without anyone touching it. Around that sits the audience intelligence work: predictive LTV, third-party enrichment, and cross-product routing.
blueconic / pardot / salesforce / ga4 / bigquery
18M+ profiles are under behavioral segmentation, and they feed the lifecycle programs and the CRM routing. That number is the size of the CDP, and profiles aren't leads. What it gets you is that every program downstream starts with a known, segmented audience.