Topic intent scores
Seven problem areas per account, each scored against that account's own baseline so a large buyer and a small one are compared fairly. Week-over-week movement shows which topic is heating up.
Enter a domain and Buying Intent returns the topics that account is researching, the sources each signal came from, and how fresh it is — so you call in the week the interest is live instead of a quarter later.
Give us the bare domain. We resolve it over DNS-over-HTTPS, then build the intent picture.
Is this account looking? What exactly are they researching? And how long ago did it happen?
Seven problem areas per account, each scored against that account's own baseline so a large buyer and a small one are compared fairly. Week-over-week movement shows which topic is heating up.
Every signal carries the place it came from: a review site comparison, an industry publication, a directory listing, a job post or a vendor's documentation page. Quote the source and the opener writes itself.
Each topic is dated, because twelve-month-old interest is not a lead. Surge watch flags the topics accelerating right now and tells you the best day and window to make contact.
Technographics can be inferred from a site. Buying intent cannot — it comes from licensed co-op publisher networks and review-site panels. Every score we show carries the source it came from and the window it covers, so you can check the reasoning rather than trust a number.
Resolution, MX and SPF records, company size band, industry, headquarters and the detection model that produced the profile.
Topic-level intent scores with week-over-week movement, source attribution per signal and the date window each one covers.
A live feed of what the account has been reading, plus competitive keyword overlap. TechStack and Buying Intent draw on the same daily counter, and the strip at the top of the page always shows what is left and when it resets.
The tools show you who is in-market and whether your campaigns will land. Mandit Global turns that into booked meetings with human-verified decision makers.