There is a persistent assumption in B2B sales that identifying in-market accounts requires an expensive subscription to a third-party intent data provider. Platforms like Bombora, 6sense, and TechTarget charge $25,000 to $100,000 per year for access to aggregated web browsing and content consumption signals. For enterprise organizations with seven-figure marketing budgets, that investment makes sense. For everyone else, it creates a dangerous blind spot: teams either overspend on data they cannot fully action, or they give up on signal-based selling entirely.
Neither outcome is necessary. The signals that reveal whether a company is actively evaluating solutions like yours are hiding in plain sight, scattered across public earnings calls, job boards, SEC filings, press releases, LinkedIn, and conference agendas. These are not second-rate signals. A study in Management Science found that increases in online job postings are significantly associated with future gains in revenue and earnings. Champify's 2025 research reported that selling to accounts with active buying triggers delivers a 37% win rate versus 19% for cold outreach. The signals are there. The question is whether you have a system for collecting them.
This guide walks through seven free signal sources you can start monitoring this week, the workflow to tie them together, and the honest point where manual research hits a ceiling. If you are a VP of Sales trying to build pipeline on a tight budget, or a revenue leader evaluating whether you actually need that intent data contract, this is the playbook.
Key Takeaways
- Third-party intent data has a false positive problem. Forrester research found that 50% of companies using B2B intent data saw too many false positives, meaning half the "in-market" accounts you are paying to identify may not actually be buying.
- Seven free public sources can surface genuine buying signals. Earnings calls, job postings, press releases, LinkedIn activity, SEC filings, technology adoption data, and conference attendance all reveal purchase intent without a vendor contract.
- Job postings are among the strongest predictive signals. Companies that increase job postings by 30%+ in a quarter are 2.4x more likely to purchase new software in the following quarter.
- Manual signal monitoring works but does not scale. A disciplined rep can track 20 to 30 accounts this way. A team covering 500+ accounts needs automation.
- Salesmotion automates these exact signal sources, cutting account research from 60 minutes to under 5 minutes per account while monitoring thousands of signals continuously.
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The Problem With Relying Solely on Third-Party Intent Data
Third-party intent data measures aggregated web activity: which companies are reading content related to topics you care about. In theory, it tells you who is researching your category before they visit your website. In practice, there are three problems that most sales leaders discover only after signing the contract.
False positives erode trust
According to Forrester's Q1 2025 Intent Data Providers Wave, 50% of companies leveraging B2B intent data reported too many false positives for accounts showing intent. When half of your "hot" accounts turn out to be researchers, students, or competitors, your SDR team stops trusting the data. That is worse than having no data at all.
The black box problem
Most intent data providers use proprietary models to score and surface accounts. You cannot see the underlying signals, the weighting, or the recency of the data. When a rep asks "why is this account flagged?", the answer is often a topic label with no context. Compare that to a rep who reads an earnings call transcript and can walk into a meeting saying, "I noticed your CFO mentioned a 20% increase in infrastructure spending next quarter." One is actionable intelligence. The other is a score.
Cost versus coverage
Bombora's basic plans start around $25,000 per year, with most mid-market companies paying $50,000 to $100,000 annually. That is a significant line item, and it only covers one type of signal. If you also want buying triggers like leadership changes, funding rounds, and technology shifts, you are layering additional subscriptions on top. For a team of 10 reps, that budget might be better spent on headcount or enablement.
The point is not that third-party intent data is useless. It has a place. The point is that you do not need it to start identifying in-market accounts, and for many teams it should be the last signal source you add, not the first. For a deeper comparison of providers and what they actually deliver, see our intent data providers guide.
“It's not even just about saving time — it's about uncovering things we otherwise might not research. Salesmotion helps us connect Guild to what's already publicly important to the company.”
Derek Rosen
Director, Strategic Accounts, Guild Education
7 Free Signal Sources That Reveal In-Market Accounts
Every signal below is publicly available. None requires a vendor contract. What they do require is a system for collecting and acting on them consistently.
1. Earnings Calls and Quarterly Reports
Publicly traded companies broadcast their strategic priorities four times a year. Earnings call transcripts are free on Seeking Alpha, The Motley Fool, and the SEC's EDGAR full-text search. When a CFO says "we are investing heavily in digital transformation" or "we plan to consolidate our vendor stack," that is a buying signal with executive-level attribution.
What to look for:
- Budget allocation language: "We are increasing spend on...", "Our capital expenditure for next year includes..."
- Pain acknowledgment: "We have been challenged by...", "Our current systems do not support..."
- Strategic initiative announcements: new market entry, product launches, compliance mandates
- Competitive mentions: references to competitors' products they are evaluating or replacing
How to monitor: Set up Google Alerts for your target accounts plus keywords like "earnings call transcript" or "quarterly results." For a more thorough approach, use SEC EDGAR's full-text search to search across all filings.
2. Job Postings
Hiring is one of the most reliable leading indicators of purchasing behavior. When a company posts for a "Salesforce Administrator" or "Director of Revenue Operations," they are signaling both budget allocation and an imminent need for the tools, services, and infrastructure that role requires.
The data backs this up. According to research covered by Job Board Doctor, companies that increase job postings by 30% or more in a quarter are 2.4x more likely to purchase new software in the following quarter. Most purchasing decisions by new hires happen within their first 90 days.
What to look for:
- Roles that use or buy your product category (e.g., hiring a CISO signals security budget)
- Rapid headcount growth in a department (signals infrastructure needs)
- New leadership hires, especially VPs and C-suite (new executives bring new vendors within their first 90 days)
- Job descriptions that mention specific tools or platforms, especially competitors
How to monitor: LinkedIn job alerts are free. Set alerts for your target accounts filtered by relevant job titles. Indeed and Glassdoor also offer free email alerts by company.
3. Press Releases and Company News
Funding rounds, acquisitions, product launches, and partnership announcements are all published voluntarily by companies. Each one represents a change event that often triggers purchasing cycles. A company that just raised a Series B has capital to deploy. A company that just acquired a competitor needs to integrate systems.
What to look for:
- Funding announcements (Series B+ often triggers vendor evaluation)
- Mergers and acquisitions (integration creates tool consolidation or expansion)
- New product launches (require supporting infrastructure)
- Executive appointments (new leaders bring new vendor preferences)
- Expansion into new markets or geographies
How to monitor: Google Alerts for company names, Crunchbase (free tier tracks funding), and Owler for competitive news. PR Newswire and Business Wire publish press releases that are indexed by Google within hours. For a broader list of free tools, see our guide to free account research tools.
4. LinkedIn Activity
You do not need Sales Navigator to extract buying signals from LinkedIn. The free version reveals meaningful patterns if you know where to look.
What to look for:
- Company page posts about new initiatives, challenges, or strategic priorities
- Decision-maker posts discussing problems your product solves
- Engagement patterns: who is liking and commenting on competitor content
- Employee growth rate visible on the company page (rapid hiring signals budget)
- "Open to Work" signals from key contacts (turnover creates vendor review cycles)
How to monitor on free LinkedIn:
- Follow target companies and decision-makers in your feed
- Check the "Posts" tab on company pages weekly
- Look at the "People" section to see recent hires and growth trends
- Search for hashtags relevant to your solution category
Sales Navigator adds Buyer Intent scores and 180+ signals, but at $99 to $179 per month per seat, it falls into the "paid signal" category. Start free and upgrade only after you have a working process.
5. SEC Filings and Investor Relations Pages
Beyond earnings calls, SEC filings contain a wealth of intelligence that most sales teams ignore entirely. Annual reports (10-K), quarterly reports (10-Q), and proxy statements (DEF 14A) are legally required disclosures that reveal strategic direction, risk factors, and capital allocation plans.
What to look for:
- 10-K "Risk Factors" section: Companies must disclose material risks. If they list "inadequate cybersecurity infrastructure" or "dependence on legacy systems," that is a pain point with board-level visibility.
- 10-Q management discussion: Quarterly updates on strategic initiatives, spending trends, and operational challenges.
- 8-K filings: Material events like leadership changes, acquisitions, or significant contract wins that trigger operational shifts.
- Investor presentations: Often posted on the investor relations page, these slide decks summarize strategy in plain language.
How to monitor: EDGAR full-text search lets you search across all public filings. Set up RSS feeds or Google Alerts for specific company filings. This is especially useful for enterprise deals where you are selling to publicly traded accounts.
6. Technology Adoption Signals
What a company is already using, and what they are adding, tells you whether they are a fit and whether they are in a buying cycle. Technology adoption data is available from several free sources.
What to look for:
- New technology implementations visible on their website (check page source, script tags, meta tags)
- Job postings that mention specific platforms or tool requirements
- Integration announcements in company blogs or partner directories
- Reviews and comparisons on G2 or TrustRadius (companies evaluating tools often leave reviews of existing ones)
How to monitor: BuiltWith offers a free lookup for any domain's technology stack. Wappalyzer is a free browser extension that identifies technologies on any page you visit. HG Insights offers limited free data. For building an ideal customer profile based on technology fit, combine tech stack data with company size and industry to identify high-probability accounts. You can also use our ICP scoring calculator to weight these signals.
7. Industry Events and Conference Attendance
When a company sponsors a conference, sends speakers, or even registers attendees, it signals both budget commitment and strategic priority. Most conferences publish their sponsor lists, speaker lineups, and exhibitor directories publicly.
What to look for:
- Companies sponsoring events in your product category (they are investing in that space)
- Speakers from target accounts presenting on topics related to your solution
- Exhibitor directories at industry trade shows
- Conference-related social media activity (attendees often post using event hashtags)
How to monitor: Check event websites for sponsor and speaker lists. Follow event hashtags on LinkedIn and X. Many conferences publish attendee companies (not individuals) in their promotional materials. Set calendar reminders for major industry events and review the participant lists 4 to 6 weeks before each event.
How to Build a Free Signal Monitoring Workflow
The signals above are only valuable if you collect and act on them consistently. Here is a practical workflow that a single rep or a small team can run without any paid tools.
Step 1: Define your signal criteria
Before monitoring anything, align on which signals matter for your buying triggers framework. Not every earnings call mention is relevant. Not every job posting indicates a buying cycle. Define the specific keywords, titles, events, and thresholds that qualify as a signal for your ICP.
Step 2: Set up your monitoring stack
- Google Alerts: Create alerts for each target account name plus relevant keywords (e.g., "Acme Corp digital transformation," "Acme Corp hiring VP"). Set delivery to daily digest.
- LinkedIn: Follow all target companies and key contacts. Check your feed daily.
- Job boards: Set email alerts on LinkedIn Jobs, Indeed, and Glassdoor for target companies filtered by relevant titles.
- SEC EDGAR: Bookmark the full-text search page. Check weekly for companies in your enterprise pipeline.
- BuiltWith/Wappalyzer: Run checks on new prospects and quarterly on existing targets.
- Industry events: Maintain a calendar of relevant conferences. Review sponsor and speaker lists as they are published.
Step 3: Create a signal log
Use a shared spreadsheet or CRM notes field to track which signals you have collected for each account. Include the signal type, source URL, date, and a one-sentence summary. This becomes your pre-call research and your justification for outreach priority.
Step 4: Act within the window
Intent signals decay quickly. Research suggests that most intent signals lose relevance within one to two weeks. A high-intent signal like an earnings call mention or a leadership change should trigger outreach within 48 hours. Build a weekly review cadence where your team triages new signals and assigns follow-up.
Time investment
A disciplined rep running this workflow should expect to spend 30 to 60 minutes per day on monitoring and research across 20 to 30 actively tracked accounts. That is a real investment, but for a rep covering a defined territory of high-value accounts, it replaces generic prospecting with signal-based selling that drives significantly higher conversion.
“Automatic account profile detail I can use to manage my territory. Using Salesmotion AI to generate value statements per persona, account, etc. Using Salesmotion to give me a starting point based on new hires, or news alerts is critical.”
Adam Wainwright
Head of Revenue, Cacheflow
When Manual Signals Aren't Enough
The workflow above works. It works well for small, focused territories where each account justifies 30 to 60 minutes of research. But it breaks at scale.
If your team covers 200 to 500 accounts, the math becomes uncomfortable. At 45 minutes per account per week, monitoring 300 accounts requires 225 hours of research weekly. That is roughly 5.6 full-time equivalents doing nothing but reading earnings calls and checking job boards. No team can sustain that.
The second limitation is speed. When a target account posts a VP of Operations role on Tuesday, you want to know Tuesday, not the following Monday when you run your weekly review. Buying windows are short. Emails with signal-specific personalization achieve 18% response rates, a 5.2x improvement over generic outreach, but only if you reach the prospect while the signal is fresh.
This is where automation earns its keep. Salesmotion monitors the exact signal sources described in this article (earnings calls, job postings, press releases, SEC filings, technographic changes, and more) across your entire addressable market continuously. Instead of a rep spending 45 minutes per account, the platform surfaces prioritized accounts with the context behind each signal, cutting research from 60 minutes to under 5 minutes per account. It is the difference between a manual workflow that works for 25 accounts and an automated one that covers thousands.
If you are running the manual process today, start there. Build the muscle of signal-based selling with free sources and a disciplined workflow. When your pipeline tells you it is time to scale, you will already know exactly which signals matter most for your business.
Frequently Asked Questions
Can free signals really replace paid intent data providers?
For small and mid-market sales teams covering fewer than 50 high-value accounts, free signals can absolutely serve as your primary identification method. The signals described here (earnings calls, job postings, SEC filings) are often more specific and actionable than aggregated third-party intent data because they come with context. The trade-off is time. Paid intent data providers automate collection and scoring at scale. Free signals require manual effort. Many teams start with free signals to validate which types of signals drive conversions, then invest in automation once they have proven the model.
How many accounts can one rep realistically monitor using free signals?
A rep spending 30 to 60 minutes per day on signal monitoring can effectively track 20 to 30 accounts. That number assumes they are checking Google Alerts, scanning LinkedIn, reviewing job postings, and logging findings in a CRM. For a territory-based rep with 25 named accounts, this is manageable. For a team trying to cover 200 or more accounts, you need either dedicated research support, automation, or a combination of both.
Which free signal source has the highest accuracy for predicting purchases?
Job postings consistently rank as one of the strongest predictive signals. Research shows that companies increasing job postings by 30% or more in a quarter are 2.4x more likely to purchase new software in the following quarter. Earnings call language is a close second for enterprise accounts, because budget allocation statements come directly from executives with spending authority. The most effective approach combines multiple signal types rather than relying on any single source.
How quickly do buying signals expire?
Most buying signals lose relevance within one to two weeks. A leadership change or funding announcement creates an immediate window where the new executive is evaluating vendors and the company is allocating fresh capital. After 30 to 60 days, those decisions are largely made. High-intent signals like earnings call budget mentions or competitive RFP activity should trigger outreach within 48 hours. Slower-burn signals like gradual headcount growth or technology stack changes can be monitored over a longer horizon but should still be acted on within a few weeks of detection.
How do I validate whether a signal actually indicates buying intent?
Layer multiple signals before investing significant pursuit effort. A single signal, like a job posting, might indicate general growth. But a job posting plus an earnings call mention of your product category plus a LinkedIn post from their VP discussing the exact problem you solve creates a strong composite signal. Use your ICP scoring criteria to weight each signal type based on your historical win data. Track which signal combinations correlate with closed deals over two to three quarters and refine your criteria.
Is third-party intent data worth the investment for any team?
Yes, but timing matters. Third-party intent data is most valuable when you have already validated your signal-based selling motion with free sources, your team covers more accounts than you can manually research, and you have the SDR capacity to act on the additional volume. If you cannot action the signals you already have, adding more data will not help. Start with the free sources in this guide, prove the conversion lift, and add paid intent data as a scale multiplier, not a starting point. For a detailed comparison of what each provider offers, see our intent data providers breakdown.
