One intent source isn't enough
Single-source intent data produces too many false positives. Triangulation across two or three sources changes the signal quality entirely.
A Tier 1 intent score from Bombora means an account is showing buying behaviour across the B2B media network. It’s a useful signal. It is not a green light to fire an outbound sequence.
The false positive rate on single-source intent is high enough to make it noisy. An account can hit Tier 1 because one employee is researching competitors out of curiosity, because they’re an existing customer doing a renewal assessment, or because a student at a target company is doing academic research on your category.
The builds that perform best layer two or three signals before triggering activation:
Bombora intent + web visit data. If the account is at Tier 1 intent and someone from that domain has hit your pricing or comparison pages in the last 14 days, the signal is real. Two independent data points pointing the same direction.
Madison Logic content consumption + buying stage. Madison Logic shows which accounts are consuming content in your category. When that overlaps with the buying stage prediction, you’ve got a picture that’s hard to fake.
LinkedIn job postings + intent. An account hiring for a role that uses your product category, combined with intent signals, is a high-confidence indicator. They’re evaluating solutions and building the team to use one.
The mechanics of triangulation in Clay: run your primary intent filter first. Then add a second column that checks a different source for the same account. Flag records where both conditions are true. Route only those to activation.
The volume drops. The conversion rate goes up enough that the math still wins.