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What is sales intent data and how do you actually use it?

Concept explainers·1 min read·Updated 2026-05-13·3 sections

Intent data = signals that suggest a company is in-market for what you sell. Done well, it dramatically improves outbound efficiency. Done poorly (over-paying for "Bombora topics", trusting database-style scores), it wastes money.

01

High-signal intent (use these)

Funding announcement in last 30 days. C-level hire in your category in last 60 days. Hiring spike for roles related to your category. Specific job posts mentioning competitor tools you replace.

Rate
2 credits / company
Trigger Events
1 credit
$0.001
credits never expire
Per 1,000
$2.00
2,000 credits
RUN SIZECREDITSCOST
30 companys60$0.06
100 companys200$0.20
500 companys1,000$1.00
1,000 companys2,000$2.00
2 credits a company · 1 credit = $0.001 · a run that finds fewer pays less
02

Low-signal intent (be skeptical)

Generic "topic interest" scores from intent platforms. Database "is in-market" flags without explained provenance. Anything based on aggregated browsing without a clear behavioural anchor.

03

Kavex's intent approach

LinkedIn Triggers monitors 7 hard signals (funding, C-level, hiring, etc.) on companies you specify. No fuzzy aggregated topic scores — every alert links to a public post you can verify.

Written after running it
Last run
plumbers · London · Google Maps
Rows
30
Time
23s
Cost
€0.06
30 rows × 2 credits = 60 credits · 1 credit = $0.001

Every number on this page comes from that run, not from a price list.

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