Catch companies and contacts the exact moment they’re ready to buy
Buying signals are real-world events - a funding round, a new VP, a job change - that tell you a company or one of its buyers just gained need, budget, or urgency. CUFinder tracks 99 of them across company pages, people moves, and composite patterns, so you knock while the door is still open.
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tracked signals
0M+
company profiles
0B+
people profiles
Daily
data refresh
Filter millions of companies and contacts down to the ones moving right now
This is the same signal filter that lives inside the Prospect Engine. Stack signals, set a minimum strength, pick a time frame - and watch the matching audience update live.
How CUFinder detects a signal
No guesswork and no manual research. Every signal is a measured change between two snapshots of a company’s or contact’s public footprint.
We snapshot the web
CUFinder continuously crawls LinkedIn company pages, employee profiles, and funding records across 85M+ companies and 1B+ people.
We diff every snapshot
Consecutive snapshots are compared field by field. The percentage delta is computed and sorted into a magnitude bucket - low, moderate, high, or hyper.
We emit the signal
When a trigger condition fires, you get the event with its magnitude and context - alongside verified emails and phones for the people behind it.
Why buying signals beat cold lists
A perfect-fit account is worthless if you reach out at the wrong time. Signals replace the guess with the event that historically precedes a purchase.
A static lead list
- Tells you who a company is, never when to call
- Goes stale the moment it’s exported
- Everyone buys the same list
- You reach out during a hiring freeze by accident
A signal-driven feed
- Tells you the exact moment need or budget appears
- Refreshed daily against live company change
- You act before the deal hits the market
- You knock while the door is still open
Every change is bucketed by magnitude
A 2% headcount bump is noise; a 40% jump is a story. We sort the percentage delta between snapshots into four buckets so you can filter ruthlessly and keep your feed from becoming a firehose.
Low
1% ≤ change < 5%
Background noise. Safe to ignore on its own.
Moderate
5% ≤ change < 15%
Worth watching, especially in aggregate.
High
15% ≤ change < 30%
A real story. Most teams start here.
Hyper
change ≥ 30%
A major event. Reach out today.
Look back exactly as far as you need
Signals lose heat over time. Choose a window from one week to six months - tighten it for the freshest intent, or widen it to catch every move.
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companies with a signal in the last 1 week
~1
signals / day
1 week
Tightest & freshest
Match signals to what you sell
The best signal depends on your buyer. Start with the handful that map to your motion, then widen the net as you build capacity.
You sell sales tools
A new revenue leader overhauls their stack fast. Watch the moment they land.
sales_leader_hiresales_hiring_surgec_suite_hireYou sell engineering platforms
Technical tooling decisions follow technical leadership and headcount.
engineering_leader_hireengineering_hiring_surgefirst_role_hireYou sell to scaling teams
Fresh capital and new geographies mean fresh budget to deploy.
funding_round_announcedexpansion_signalmulti_office_milestone99 signals across 10 categories
Grouped exactly the way our system emits them. Pick a category to see every trigger we track and why it matters for outreach.
Growth signals
Company-page signals
Employee growth
Employee count rose between snapshots - the most basic growth marker.
employee_growthSize band upgrade
Moved up a full LinkedIn size band (e.g. 51–200 → 201–500), often unlocking new budget.
employee_size_band_upgradeHeadcount recovery
Growth returned after a prior decrease in the last 180 days - warm re-investment timing.
headcount_recoveryFollowers growth
Follower count went up - market attention and brand momentum.
followers_growthFollowers spike
Follower growth ≥ 3× the six-crawl average - a launch, viral moment, or funding.
followers_spikeOpen jobs increase
Open job count rose - broad spending intent.
jobs_open_increaseOpen jobs spike
Job count ≥ 2× the four-crawl average - a strong near-term budget indicator.
jobs_open_spikeFirst job in a function
A first-ever posting in a function (e.g. first sales hire) with none in the prior 12 months.
first_job_in_functionFirst job in a country
A posting in a country with none in the prior 12 months - geographic expansion.
first_job_in_countryFirst job in a city
A first posting in a new city - useful for territory-based reps.
first_job_in_citySenior hiring increase
Share of senior postings (Director, VP, Head, Chief, Lead) rose ≥ 5 points.
senior_hiring_increaseEngineering hiring surge
Engineering postings ≥ 2× the previous crawl - product investment.
engineering_hiring_surgeSales hiring surge
Sales postings ≥ 2× the previous crawl - sales-enablement budget.
sales_hiring_surgeRemote jobs share change
Share of remote/hybrid postings shifted ≥ 10 points, up or down.
remote_jobs_share_changeFrequently asked questions
What are buying signals in B2B sales?
Buying signals are observable events that indicate a company has new need, budget, or urgency for a purchase - from funding rounds and executive hires to hiring surges and product launches. Unlike static firmographic data, they add the dimension of timing: not just who fits your ideal customer profile, but when that company is most likely to buy. CUFinder tracks dozens of these across company pages, people moves, and composite patterns so your team can reach out at the right moment.
How does CUFinder detect buying signals?
CUFinder compares data snapshots over time and emits a signal whenever a meaningful change occurs. We monitor LinkedIn company pages, employee profiles, funding records, and more. Each signal has a precise trigger condition, and changes are sorted into magnitude buckets so you can prioritize the strongest events - all running against our base of 1B+ enriched people profiles and 85M+ company profiles, refreshed daily.
Which buying signals are the most valuable?
Funding rounds, executive hires, and composite signals like expansion_signal and pre_ipo_signal carry the highest intent - they map directly to fresh budget and major strategic shifts. That said, the best signal depends on what you sell: if you sell sales tools, a sales_leader_hire is gold; if you sell engineering platforms, watch engineering_leader_hire and engineering_hiring_surge. The point is to match signals to your specific buyer.
Can I filter signals by strength?
Yes - every signal is tagged with a magnitude bucket of low, moderate, high, or hyper. This lets you ignore minor changes and focus only on events large enough to matter. Filtering by magnitude is the single best way to keep your signal feed actionable instead of overwhelming. Most teams start by chasing only high and hyper events, then widen the net as they build capacity.
Stop hearing about funding rounds three weeks too late
Buying signals hand you the moment - alongside verified emails, phones, and full company and contact data, so you can act immediately. Free plan, no credit card required.