> Enrich.chat gives AI agents verified work emails and mobiles. To use it from an agent, read https://enrich.chat/agents.md . This is the Markdown version of https://enrich.chat/blog/sales-signals/

# Sales signals: 15 buying signals, where to see each one, and the contact step that follows

A sales signal is an event that makes now a good time to reach out. Here are 15, grouped by where the evidence lives, with the source, the next move and the person to contact first.

By Enrich.chat Editorial. Updated October 16, 2026.

**Short answer:** Sales signals are events at a company or a person that suggest now is a good time to sell, such as a funding round, a new executive, a tool change or a pricing page visit. This guide covers 15, with where to see each and who to contact. One signal is weak: [Salesloft](https://www.salesloft.com/resources/blog/b2b-buying-signals) treats three aligned signals as high intent.

## Key takeaways

- The 15 signals fall into four groups by where the evidence lives: company events, technology and people moves, your own channels, and outside research. Most name a company, not a person.
- One signal is weak. Salesloft calls one signal low intent, two aligned signals mid intent, and three or more high intent, with an account executive connecting within 24 hours.
- Per Ehrenberg-Bass research, about 5% of companies are in market in a given quarter, so a signal is a reason to look closer, not a promise to buy.
- Some signals have primary sources. A US public company files a Form 8-K within four business days of an acquisition or an officer change, and a private raise under Rule 504 or 506 needs a Form D within 15 calendar days of the first sale.
- Enrich.chat does not detect signals or send alerts. It supplies the contact step: /v1/company/tech for the stack, /v1/company/people for roles, and /v1/person for a work email with a status.

## What are sales signals?

Sales signals are events, changes and behaviors that suggest a company or a person may be open to buying. A funding round, a new executive, a tool change and a visit to your pricing page are all examples. A signal does not say someone will buy. It gives you a reason to reach out now, with something specific to say.

The words overlap. [Revenue.io](https://www.revenue.io/inside-sales-glossary/what-are-buying-signals) defines buying signals as behavioral or contextual cues that a prospect is showing interest. [ZoomInfo's guide](https://pipeline.zoominfo.com/sales/sales-signals-faster-prospecting) sorts sales signals into stakeholder, operational, external and intent groups. [Salesloft](https://www.salesloft.com/resources/blog/b2b-buying-signals) uses six: behavioral, intent, firmographic, technographic, first-party and deal-level. [DemandScience's webinar page](https://demandscience.com/resources/webinar-b2b-buyer-signals-sales/) adds a useful split: a speaker there says "a signal is just raw data", and a trigger is the point where you decide to act.

This guide groups 15 signals by where the evidence lives, because that tells you where to look. Figure 1 shows the groups. Most signals name a company. A few name a person, and even those need a contact lookup before anyone can write to them. Signals are one layer of [sales intelligence](https://enrich.chat/blog/what-is-sales-intelligence/).

**Figure 1: The 15 sales signals in four groups.** Four cards group the 15 sales signals by where the evidence lives. Company events: funding round, hiring for a relevant role, new executive, expansion or launch, acquisition or merger, layoffs or restructuring. Technology and people: tool adopted or dropped, champion job change. Your own channels: high-intent page visits, content engagement, product usage, conversation cues, new stakeholders join. Outside research: third-party intent surge, competitor comparison. A filled dot marks a signal that usually names a company. A ring marks one that usually names a person: new executive, champion job change, content engagement, product usage, conversation cues and new stakeholders.

*The 15 sales signals in four groups. The grouping and the company or person marking are this page's reading of the guides from [Salesloft](https://www.salesloft.com/resources/blog/b2b-buying-signals), [ZoomInfo](https://pipeline.zoominfo.com/sales/sales-signals-faster-prospecting), [Amplemarket](https://www.amplemarket.com/blog/signal-based-selling) and [Revenue.io](https://www.revenue.io/inside-sales-glossary/what-are-buying-signals).*

## What are the 15 sales signals, and how do you act on each?

The table gives the short version. The sections after it give the source and the next move for each signal.

| Signal | Names | Where you see it | Contact first |
| --- | --- | --- | --- |
| 1. Funding round | Company | News, data providers, SEC Form D | Founder or head of the funded function |
| 2. Hiring for a relevant role | Company | Job boards, careers pages | The leader the hire reports to |
| 3. New executive | Person | News, SEC Form 8-K Item 5.02 | The new executive |
| 4. Expansion or launch | Company | Press releases, company news | Head of the affected function |
| 5. Acquisition or merger | Company | News, SEC Form 8-K Items 1.01 and 2.01 | IT, finance or operations leaders |
| 6. Layoffs or restructuring | Company | News, WARN notices, SEC Form 8-K Item 2.05 | Leader of the affected function |
| 7. Tool adopted or dropped | Company | Tech stack checks, usage alerts | Owner of that tool |
| 8. Champion job change | Person | Job change alerts | The person, at the new employer |
| 9. High-intent page visits | Company, sometimes a person | Your web analytics | Roles that own the problem |
| 10. Content engagement | Person | Forms, email and webinar tools | The person, then their manager |
| 11. Product usage | Person | Your product analytics | Budget owner at their company |
| 12. Conversation cues | Person | Calls, chats, email replies | The person, then the approvers |
| 13. New stakeholders join | Person | Email threads, meeting invites | Finance, IT, security, procurement |
| 14. Third-party intent surge | Company | Intent data vendors | Roles that own the topic |
| 15. Competitor comparison | Company | Review-site intent data | Roles that own the problem |

### Company events: public facts you can check

1. **Funding round.** New money suggests budget and a plan to grow. [ZoomInfo's guide](https://pipeline.zoominfo.com/sales/sales-signals-faster-prospecting) calls funding rounds among the strongest signals, though a consultant it quotes says a raise only tells you the timing is good. You still need a reason to call. A company that sells securities under Rule 504 or 506 must file a notice on Form D within [15 calendar days of the first sale](https://www.law.cornell.edu/cfr/text/17/230.503), through EDGAR. *Contact first:* the founder, or the head of the function the money will fund.
2. **Hiring for a relevant role.** [Revenue.io](https://www.revenue.io/inside-sales-glossary/what-are-buying-signals) lists job postings as a sign of upcoming needs, and [Salesloft](https://www.salesloft.com/resources/blog/b2b-buying-signals) lists headcount growth in revenue-facing roles. A consultant in ZoomInfo's guide watches for a post that stays open for months. That can mean a hard-to-fill role your product supports or replaces. *Contact first:* the leader the new hire reports to.
3. **New executive.** A new leader may bring new priorities and budget. Salesloft lists executive hires as a firmographic signal, and the first stakeholder example in ZoomInfo's guide is a new VP of Sales joining a target account. For a US public company, [Form 8-K Item 5.02](https://www.sec.gov/files/form8-k.pdf) reports the departure or appointment of certain officers, due within four business days. *Contact first:* the new executive.
4. **Expansion or launch.** Salesloft lists expansion into new markets as a firmographic signal. In ZoomInfo's guide, a consultant treats a product launch as a chance to talk about the problems that often come with launches. *Contact first:* the head of the function the expansion or launch touches.
5. **Acquisition or merger.** [Amplemarket](https://www.amplemarket.com/blog/signal-based-selling) says M&A creates windows to re-evaluate the combined stack. For US public companies, Form 8-K reports a material agreement under Item 1.01 and a completed acquisition or disposition of assets under Item 2.01, each due within four business days. *Contact first:* IT, finance or operations leaders at the buyer.
6. **Layoffs or restructuring.** Cuts can mean pain or a push to save money, so read this signal with care. ZoomInfo's guide quotes a consultant who sees layoffs as a sign that something is broken, and notes that competition, weak product fit or M&A can also drive cuts. The Labor Department's [WARN Act guide](https://www.dol.gov/sites/dolgov/files/ETA/Layoff/pdfs/_EmployerWARN2003.pdf) says covered plant closings and mass layoffs need written notice at least 60 calendar days ahead. Public companies report exit plans with material charges in Form 8-K Item 2.05. *Contact first:* the leader of the affected function, and only if your offer helps with the problem.

### Technology and people moves

7. **Tool adopted or dropped.** Amplemarket calls technology signals the most durable and lists a dropped rival tool or a CRM migration as examples. [BuiltWith's plans](https://builtwith.com/plans) include usage alerts when a list of websites starts or stops using a technology. A website scan sees only public traces, as the [tech stack lookup](https://enrich.chat/tools/tech-stack-lookup/) page explains, and our [technographic data guide](https://enrich.chat/blog/technographic-data/) covers the data type. *Contact first:* the owner of that tool, such as revenue operations for a CRM.
8. **Champion job change.** A past user or buyer who joins a new company brings trust with them. Amplemarket calls job changes among the highest-converting outbound signals and claims three to five times the cold-outreach rate, with no study named. LinkedIn's [Sales Navigator plan page](https://business.linkedin.com/sell/sales-navigator/compare-plans) lists alerts for job changes, and the pricing pages of [Apollo](https://www.apollo.io/pricing) and [Clay](https://www.clay.com/pricing) list job change features. [Lusha measured](https://www.lusha.com/blog/b2b-data-decay-rate-measured/) about 1% of US sales leaders changing roles each month, and warns that a new move takes time to show up in any dataset. *Contact first:* the person, at the new employer.

### Your own channels: first-party signals

[Salesloft](https://www.salesloft.com/resources/blog/b2b-buying-signals) argues that signals from your own website, email, product and calls are more reliable than inferred research, because they tie to real buyer behavior.

9. **High-intent page visits.** Visits to pricing, demo, product and ROI pages show active evaluation. Revenue.io names pricing, product and case study pages as company-level signals, and [Demandbase](https://www.demandbase.com/faq/intent-signals/) adds returning visits in a short time. [ZoomInfo](https://pipeline.zoominfo.com/sales/what-is-intent-data-and-how-to-use-it) cautions that a pricing view alone does not reliably predict a purchase, because many people browse pricing with no plan to buy. Amplemarket notes that most visitor identification tools name the company, not the person. *Contact first:* the roles that would own the problem.
10. **Content engagement.** Downloads, webinar attendance and email clicks show interest at different strengths. Revenue.io ranks a demo request as high intent, a case study download as mid, and a blog view or newsletter click as low. Demandbase says an email open needs context, while a click or a forward means more, and it tracks webinar attendance, not only registration. *Contact first:* the person who engaged, then their manager.
11. **Product usage.** A trial or free user who gets real value may be ready to pay. [Pendo](https://www.pendo.io/pendo-blog/the-path-to-product-qualified-leads/) describes a product-qualified lead as someone who has had some success with your product. It suggests starting with a simple rule, such as an activated trial or five logins, then moving to measures of value. *Contact first:* the budget owner at the user's company.
12. **Conversation cues.** What buyers ask on calls and chats is a signal. [Docket's list](https://docket.io/blog/buying-signals-in-sales-indicators-and-behavioral-patterns) includes questions about price and payment terms, integration, implementation, training and support, ROI and long-term upgrades. Revenue.io adds quicker email replies and requests for follow-up resources. *Contact first:* the person asking, then the people who must approve.
13. **New stakeholders join.** Revenue.io counts extra stakeholders added to a thread, Docket counts invitations to other decision-makers, and Salesloft treats a champion who stops engaging as a warning. Our [account-based marketing guide](https://enrich.chat/blog/account-based-marketing/) has published buying-group sizes. *Contact first:* the titles that often join late, such as finance, IT, security and procurement.

### Outside research: third-party signals

14. **Third-party intent surge.** A company reads far more than usual about your topic. Most surges will not become deals: [Ehrenberg-Bass research](https://marketingscience.info/news-and-insights/ehrenberg-bass-95-of-b2b-buyers-are-not-in-the-market-for-your-products) puts the share of companies in market at 20% in a year and 5% in a quarter. Our [intent data guide](https://enrich.chat/blog/intent-data/) covers types, providers and costs. *Contact first:* search the account for the roles that own the topic.
15. **Competitor comparison.** [G2's Buyer Intent documentation](https://documentation.g2.com/docs/buyer-intent) defines signals for a buyer who views a comparison page that includes your product, an alternatives page, or a competitor's pricing or profile page. Demandbase lists review-site activity and comparison content, and Amplemarket lists reviews of competitors on G2. *Contact first:* the roles that own the problem.

## Which sales signals are strongest, and how do you combine them?

A single signal of any kind is weak, and sources disagree on which kind is strongest. Salesloft says first-party signals, such as a reply or a demo, are more reliable than inferred third-party intent, and tells teams to let their closed-won data confirm that for their own market. It also says layering cuts false positives: an account that spikes on intent but shows no first-party activity and no company event may not be in market.

Fit still matters. [DemandScience's page](https://demandscience.com/resources/webinar-b2b-buyer-signals-sales/) says to score signals on account fit, intent strength and how much of the buying committee is engaged. Base rates are low too. If about 5% of companies are in market in a quarter, most flagged accounts are not about to buy. A signal raises the odds for one account a little. It does not turn a poor fit into a good one.

Salesloft's three tiers are a simple way to set rules before reps see any signals. Figure 2 shows them, with a contact rule for each tier that is our suggestion, not Salesloft's.

**Figure 2: Response tiers by the number of aligned sales signals.** Three cards. One signal is low intent: nurture with educational content, and hold contact lookups. Two aligned signals are mid intent: send a personal touch with a clear next step, and look up the one best-fit role. Three or more aligned signals, including first-party engagement, are high intent: qualify now, an account executive connects within 24 hours, and look up the whole buying group. The tiers and the 24-hour rule come from Salesloft. The contact rule is a suggestion from this page.

*Response tiers by the number of aligned signals. The tiers and the 24-hour rule are from [Salesloft's June 24, 2026 guide](https://www.salesloft.com/resources/blog/b2b-buying-signals). The contact rule is a suggestion from this page.*

The contact rule saves lookups, and credits on a credit plan, for the accounts you will work.

## How fast should you act on a sales signal?

Vendors agree on about a day. [Revenue.io](https://www.revenue.io/inside-sales-glossary/what-are-buying-signals) says to respond within 24 hours and to treat a demo request or pricing view as same-day. Salesloft's high-intent tier asks for an account executive to connect within 24 hours.

[Amplemarket's guide](https://www.amplemarket.com/blog/signal-based-selling) gives finer windows. It suggests acting on a pricing page visit within two to four hours, a job change within 7 to 14 days and a funding announcement within 7 to 30 days. It says value fades after 24 hours, 30 days and 60 days. The guide names no study behind these windows, so treat them as a starting point and measure your own reply rates by delay.

Data lag is a second clock. Lusha's measurement shows that the newest job changes are the least likely to appear in any dataset yet. Public filings run on fixed clocks: a Form 8-K is due within four business days, and a Form D within 15 calendar days of the first sale. Our guide to [B2B data decay](https://enrich.chat/blog/b2b-data-decay/) explains why contact records age.

## Where do you find sales signals?

Start with what you own: web analytics, product data, email and your CRM. Then add public records, such as SEC filings on EDGAR for funding and public-company changes, and the Labor Department's WARN rules for layoffs. The free [tech stack lookup](https://enrich.chat/tools/tech-stack-lookup/) shows what a company runs today. Paid tools add alerts. The table lists what each vendor's own page says, checked October 16, 2026. It is not a ranking, and it shows no prices.

| Tool | Signals it lists | Source |
| --- | --- | --- |
| LinkedIn Sales Navigator | Alerts for job changes and new content | [LinkedIn plan page](https://business.linkedin.com/sell/sales-navigator/compare-plans) |
| Apollo | Advanced filters and signals, job change enrichment, buying intent topics | [Apollo pricing page](https://www.apollo.io/pricing) |
| Clay | Job change, company news and web intent signals, by plan | [Clay pricing page](https://www.clay.com/pricing) |
| BuiltWith | Usage alerts when websites start or stop using a technology | [BuiltWith plans](https://builtwith.com/plans) |
| G2 Buyer Intent | Page views on G2, such as compare and alternatives pages | [G2 documentation](https://documentation.g2.com/docs/buyer-intent) |
| Amplemarket | Job change, funding, website, competitor and technology signals | [Amplemarket guide](https://www.amplemarket.com/blog/signal-based-selling) |

For intent vendors, read our comparison of [intent data providers](https://enrich.chat/blog/intent-data-providers/). For wider suites, see the [best sales intelligence tools](https://enrich.chat/blog/best-sales-intelligence-tools/).

## How do you set up a simple signal playbook?

Pick a few signals, set a rule for each tier, and name the contact before the first alert fires.

1. **Pick three signals from your closed-won deals.** Salesloft suggests checking which signal patterns appeared in the 90 days before first contact on deals that closed. Match them to your [ideal customer profile](https://enrich.chat/blog/ideal-customer-profile/).
2. **Set tiers.** Decide how many aligned signals trigger a nurture step, a personal touch and a direct call. Add fit to the score, as in our [lead scoring model guide](https://enrich.chat/blog/lead-scoring-model/).
3. **Name the contact for each signal.** Use the last column of the table above, then narrow it to your own titles.
4. **Set a response time.** A day is the common rule, so write it down.
5. **Review monthly.** DemandScience's page recommends a feedback loop with sales. Drop the signals that never lead to a reply.

## Are sales signals legal to use?

Signals about companies are low risk. Signals that name a person need more care, because that person's data is personal data. The UK Information Commissioner's Office says the [UK GDPR applies](https://ico.org.uk/for-organisations/direct-marketing-and-privacy-and-electronic-communications/business-to-business-marketing/) when you process personal data for direct marketing, even in a business context. You must tell people and have a lawful basis. A job change, a trial login and a webinar attendance each name a person. In the US, calling or texting a mobile number brings TCPA rules (see [TCPA and B2B cold calling](https://enrich.chat/blog/tcpa-b2b-cold-calling/)), and email brings CAN-SPAM (see [cold email](https://enrich.chat/blog/cold-email/)). This is general information, not legal advice. Using a signal or Enrich.chat does not make outreach compliant.

## How does Enrich.chat fit a signal-based workflow?

Enrich.chat does not detect signals, send alerts or sell intent, funding or hiring data. It handles the step after a signal. Give it a company website or a person, and it returns the tech stack, the people at the company by title, and a work email with a status of verified, catch_all or unknown. Your signal source says who and why. Enrich.chat finds how to reach them.

**Figure 3: From a sales signal to a work email in four steps.** Four stacked steps. Step 1, spot the signal, comes from your own signal source and is not done by Enrich.chat. Step 2, add company context, uses the company tech endpoint and uses 5 credits when a stack is found. Step 3, find the right roles, uses the company people endpoint and uses 5 credits for each person returned. Step 4, get the work email, uses the person endpoint, returns a status of verified, catch_all or unknown, and uses 10 credits when an email is found.

*The path from a signal to a work email. Only step 1 happens outside Enrich.chat. Endpoints and credits are from Enrich.chat's [agent docs](https://enrich.chat/agents.md).*

- **Company events, page visits and intent (signals 1 to 6, 9, 14 and 15).** The signal gives a company. `GET /v1/company/people?domain=&title=` lists people there by title, up to 25 per call. `GET /v1/company?domain=` returns industry and headcount to check fit.
- **Tool change (signal 7).** After your alert fires, `GET /v1/company/tech?domain=` returns the current stack by category.
- **Champion job change (signal 8).** `GET /v1/person` takes a name and the new employer's website, or a LinkedIn URL, and returns the work email. Enrich.chat never logs in to LinkedIn. The URL is only a lookup key.
- **Product usage (signal 11).** `GET /v1/person?email=` finds the person behind a work email from a signup. Personal mailboxes such as Gmail are not looked up.
- **Content, conversation and stakeholder signals (10, 12 and 13).** The person is known. Use the people endpoint with a title filter to find the missing roles, such as procurement or security.

Two worked examples follow, with illustrative responses for fictional people and companies. The first checks the stack after a tool-change alert.

```
GET https://enrich.chat/v1/company/tech?domain=acme.com

{
  "found": true,
  "domain": "acme.com",
  "company": "Acme Logistics",
  "technologies": [
    {"name": "HubSpot", "category": "CRM"},
    {"name": "Stripe", "category": "Payments"}
  ],
  "credits_used": 5,
  "free_lookups_remaining": 9
}
```

The second follows a champion job change. Your alert says Jane Doe has moved to a company whose website is beta-freight.com. Compare the company in the response with the one your alert named. If they differ, the record has not caught up, so treat the result as unconfirmed.

```
GET https://enrich.chat/v1/person
  ?name=Jane%20Doe
  &company=beta-freight.com
  &fields=email

{
  "found": true,
  "name": "Jane Doe",
  "title": "VP Operations",
  "company": {"name": "Beta Freight"},
  "linkedin_url": "https://www.linkedin.com/in/jane-doe-ops",
  "work_email": {"value": "jane.doe@beta-freight.com", "status": "verified"},
  "credits_used": 10,
  "free_lookups_remaining": 9
}
```

Now the credit maths. Say your signal source flags 100 accounts in a month. You check each stack, pull two roles per account and look up each work email. That is 100 stack lookups, 200 people returned and 200 emails, or 3,500 credits. It fits the Growth plan at $29 a month. A lookup that finds nothing uses 0 credits. The free tier gives 10 lookups a day with no signup, and an API key is optional.

```text
Use www.enrich.chat to take the company websites in my list of accounts that just raised funding or hired a new executive. For each one, check the tech stack and flag HubSpot or Salesforce, find the head of sales and the head of marketing, and get their work emails. Flag any catch_all emails as risky, write not found where nothing matches, and tell me the total credits_used.
```

Paste the prompt into ChatGPT, Claude or Cursor. The agent reads [enrich.chat/agents.md](https://enrich.chat/agents.md) and calls the API about once a second. You can also add the MCP server at enrich.chat/mcp: the [install page](https://enrich.chat/install/) has the steps for each app.

### What Enrich.chat does not do

- It does not detect signals or send alerts. There is no monitoring, webhook or intent, funding or hiring feed.
- It does not show when something changed. The tech stack is a current list, and a person's record may still show an old employer.
- It takes a company website, not a company name, and a work email only on the email input. One people call returns at most 25 people.
- On self-serve plans it has no saved lists, bulk export, sequencing or CRM app. Enterprise adds bulk files and data licenses.

See the [company enrichment API](https://enrich.chat/api/company-enrichment/), the [person enrichment API](https://enrich.chat/api/person-enrichment/) and the [people search API](https://enrich.chat/api/people-search/) for the endpoints. To try one lookup by hand, use the free [LinkedIn email finder](https://enrich.chat/tools/linkedin-email-finder/). Plans are on the [pricing page](https://enrich.chat/pricing/), and [contact data for AI agents](https://enrich.chat/agents/) explains the setup. For the wider workflow, read [AI lead generation](https://enrich.chat/blog/ai-lead-generation/).

## Frequently asked questions

### What are sales signals?

Sales signals are events, behaviors and changes that suggest a company or person may be ready to buy or open to a conversation. They include company changes such as funding and hiring, tool changes, job moves, and buyer behavior such as visits to your pricing page. Vendors also call them buying signals or triggers. [DemandScience's webinar page](https://demandscience.com/resources/webinar-b2b-buyer-signals-sales/) describes a signal as raw data and a trigger as the point where you decide to act.

### What is the difference between sales signals and intent data?

Intent data is one kind of sales signal: research activity on a topic, usually reported for a company. Sales signals are wider. They also cover company events such as funding, people moves such as a new executive, and first-party behavior such as pricing page visits and trial use. Our [intent data guide](https://enrich.chat/blog/intent-data/) covers the types, providers and costs. Treat intent as one input, not the whole picture.

### What are examples of sales signals?

Examples include a funding round, a job post for a role you support, a new head of a function, an acquisition, an expansion into a new market, a company adopting or dropping a tool, a past champion changing jobs, repeat visits to your pricing page, a webinar attendance, a trial milestone, a question about security on a call, and a topic surge in third-party intent data. See [what sales intelligence is](https://enrich.chat/blog/what-is-sales-intelligence/) for where signals fit.

### How fast should you act on a sales signal?

Vendors give a similar rule: within a day. [Revenue.io](https://www.revenue.io/inside-sales-glossary/what-are-buying-signals) says to respond within 24 hours, and the same day for a demo request or pricing view. Salesloft's high-intent tier asks for an account executive to connect within 24 hours. [Amplemarket](https://www.amplemarket.com/blog/signal-based-selling) suggests two to four hours for a pricing visit and 7 to 30 days for funding, but names no study. Measure your own.

### How do you find sales signals for free?

Start with data you own: web analytics, product usage, email and your CRM. Public records help too. A company that raises money under Rule 504 or 506 files a Form D through EDGAR, and a US public company files a Form 8-K for an acquisition or an officer change. The free [tech stack lookup](https://enrich.chat/tools/tech-stack-lookup/) shows what a company runs today. Paid tools add alerts and cover more sources.

### Does Enrich.chat detect sales signals?

No. Enrich.chat does not detect signals, send alerts or sell intent, funding or hiring data. It handles the step after a signal: the company profile and tech stack by website, the people at the company by title, and a work email with a status of verified, catch_all or unknown. The free tier gives 10 lookups a day with no signup. See [pricing](https://enrich.chat/pricing/) and the [person enrichment API](https://enrich.chat/api/person-enrichment/).

## Sources

1. [Why Most Teams Miss the Buying Signals Already in Their CRM](https://www.salesloft.com/resources/blog/b2b-buying-signals)
2. [What are Buying Signals?](https://www.revenue.io/inside-sales-glossary/what-are-buying-signals)
3. [Buying Signals in Sales: 15+ Key Indicators and Behavioral Patterns](https://docket.io/blog/buying-signals-in-sales-indicators-and-behavioral-patterns)
4. [What is signal-based selling? The complete guide](https://www.amplemarket.com/blog/signal-based-selling)
5. [Turning Signals Into Sales: Activate Triggers That Matter (webinar page)](https://demandscience.com/resources/webinar-b2b-buyer-signals-sales/)
6. [AI Sales Signals: How Top Teams Act on Buying Data in 2026](https://pipeline.zoominfo.com/sales/sales-signals-faster-prospecting)
7. [What Is Intent Data? How to Use It in B2B Sales](https://pipeline.zoominfo.com/sales/what-is-intent-data-and-how-to-use-it)
8. [Understanding different types of intent signals for B2B marketing](https://www.demandbase.com/faq/intent-signals/)
9. [Buyer Intent documentation](https://documentation.g2.com/docs/buyer-intent)
10. [Ehrenberg-Bass: 95% of B2B buyers are not in the market for your products](https://marketingscience.info/news-and-insights/ehrenberg-bass-95-of-b2b-buyers-are-not-in-the-market-for-your-products)
11. [How fast does B2B contact data decay?](https://www.lusha.com/blog/b2b-data-decay-rate-measured/)
12. [Form 8-K](https://www.sec.gov/files/form8-k.pdf)
13. [17 CFR 230.503: Filing of notice of sales](https://www.law.cornell.edu/cfr/text/17/230.503)
14. [Employer's Guide to Advance Notice of Closings and Layoffs (WARN Act)](https://www.dol.gov/sites/dolgov/files/ETA/Layoff/pdfs/_EmployerWARN2003.pdf)
15. [The Path to Product Qualified Leads](https://www.pendo.io/pendo-blog/the-path-to-product-qualified-leads/)
16. [Business-to-business marketing](https://ico.org.uk/for-organisations/direct-marketing-and-privacy-and-electronic-communications/business-to-business-marketing/)
17. [Sales Navigator plans](https://business.linkedin.com/sell/sales-navigator/compare-plans)
18. [Apollo pricing](https://www.apollo.io/pricing)
19. [Clay pricing](https://www.clay.com/pricing)
20. [BuiltWith plans and pricing](https://builtwith.com/plans)
21. [Enrich.chat agents.md](https://enrich.chat/agents.md)

## Try this prompt

Find the contacts behind your signals

```text
Use www.enrich.chat to take the company websites in my list of accounts that just raised funding or hired a new executive. For each one, check the tech stack and flag HubSpot or Salesforce, find the head of sales and the head of marketing, and get their work emails. Flag any catch_all emails as risky, write not found where nothing matches, and tell me the total credits_used.
```

## Related

- [What is intent data?](https://enrich.chat/blog/intent-data/)
- [Lead scoring model with a worked example](https://enrich.chat/blog/lead-scoring-model/)
- [How fast B2B contact data goes bad](https://enrich.chat/blog/b2b-data-decay/)