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Finding Top-Performing Companies with PredictLeads

October 1, 2018 /

At PredictLeads, we work with some of the most data-driven teams — from venture capitalists (VCs) and corporate VCs to sales professionals and innovation departments.

Our mission is clear: provide company intelligence data that helps teams both enrich known companies and discover up-and-coming challengers so they never miss a market shift.

Enrich Known Companies to Score and Prioritize

For established companies in your pipeline, the goal is to access data that reveals true company performance.

PredictLeads currently tracks and provides:

  • Hiring Intent – uncover which companies are actively expanding.
  • News Events – funding rounds, partnerships, acquisitions, and more.
  • Business Connections – hidden customer, partner, and vendor relationships.
  • Technographics – technology adoption and usage signals.

👉 All datasets are available via clean APIs: PredictLeads Enrich API.

By enriching known companies, VCs and sales teams can score prospects, prioritize effectively, and focus resources where they matter most.

Discover Challengers Before Competitors Do

The second goal is to spot new and fast-growing challengers. These are companies that are just starting to show expansion signals.

Examples include:

  • Hiring via platforms like Hacker News.
  • Expanding offices into new geographies.
  • Receiving industry awards.
  • Signing new high-value clients.

👉 Explore these through our Discover Endpoints.

By identifying these companies early, you can get ahead of competitors, build relationships sooner, and align with future winners.

The Challenge of Predicting Performance

Clients often want to predict how well a company will perform in the future. This is no easy task. To get there, you need:

  1. Accurate and complete data.
  2. Enough historical data points to train reliable models.

PredictLeads tracks over 17 million companies and offers performance data from 2015 onwards. Still, the journey requires patience:

  • Startups often need 5+ years to succeed or exit.
  • VCs and CVCs must validate their models over these long timeframes.
  • Training models on past company trajectories is possible, but missing data points often limit accuracy.

It’s a long-haul game. But history shows that teams with more knowledge, more data, and deeper insights consistently outperform those without. That’s why we’re confident our efforts — and the data we provide — will deliver results for our partners

Conclusion: Patience + Data = Performance

At PredictLeads, we know predicting company success takes time. But with the right data, enriched insights, and early discovery of challengers, you can make smarter bets and stay ahead of market shifts.

📩 Interested in learning how PredictLeads can help your organization find top-performing companies?
Get in touch via our contact form.

Looking forward,
Roq

Company Signals API
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PredictLeads Top 10 teams StartupBootcamp

PredictLeads Selected for Startupbootcamp 2018 Top 10

January 29, 2018 /

PredictLeads has been selected as one of the top 10 teams to participate in the 2018 Startupbootcamp Commerce program in Amsterdam!

Out of more than 600 applicants worldwide, we were chosen among the top twenty companies and invited to Final Selection Days on January 16–17. After an intense evaluation process in front of over 100 mentors and partners, we were honored to be picked as one of the top 10 startups for this year’s program.

What This Means for PredictLeads

Starting on February 19, we’ll join an intensive 3-month acceleration program packed with workshops, one-on-one mentoring sessions, and networking events. The program concludes on May 17, 2018, with Demo Day – where we’ll present our progress in front of hundreds of investors, partners, and industry leaders.

During this time, we’ll be mentored by a world-class network of entrepreneurs, executives, and VCs. We’ll also gain access to leading commerce companies in the Netherlands to validate and scale our solutions.

PredictLeads will benefit from:

  • €15K in seed funding
  • Free office space in Amsterdam
  • €500K+ in partner services
  • Access to partners including Amazon, Cisco, Ahold Delhaize, PwC, America Today, and Rabobank
  • A global network of angels and venture capital investors

Our Goal During Startupbootcamp

We’re excited to use the immense SBC business network to grow our client base. Our focus will be on B2B companies leveraging company intelligence data in their products or services. Our vision is to establish PredictLeads as the market leader in actionable company intelligence for vendors worldwide.

About Startupbootcamp

Founded in 2010, Startupbootcamp is a leading global accelerator with 20+ programs across Europe, Asia, the Americas, MENA, and Africa. Selected startups receive hands-on mentorship, industry connections, and access to a powerful investor network to accelerate growth.

We’re thrilled to join this program and can’t wait to share the journey ahead. 🚀

Overcome Market Challenges by Leveraging Investor Networks 🤔
Native Salesforce App
Partnering up with Clay 🙂

Leveraging Hiring Intent

October 11, 2017 /

When companies are hiring for categories such as Marketing, Sales, Financing … companies are normally in good shape to invest in new solutions that would aid them in these areas. So if you’re trying to find a segment of companies that would fit your product? Don’t overlook the hiring intent data!

Hiring intent indicates first off if a company is in good shape and in buying mode. If they are hiring for many positions this is a good sign they are in position to spend money. Specific job titles / job categories indicate what kind of area they are currently investing in. Are they hiring for SDRs, HR managers, iOS developers, Support agents … ? Each of these indicate they might be in need of a new HR system, TalkDesk software, offshore dev, Sales enablement software, Marketing analytics system …

Inside a job description one can also find expertise companies are searching for like: Content Marketing, Lead Nurturing, eCommerce Dev,  …

Job openings also include information about what kind of techniques a company is exercising. For example on could find keywords such as: Kanban, Scrum, Metrics Driven, Customer Success, Social Media, Sales Prospecting … and can help identify more forward thinking prospects that are more open to new solutions.

Inevitably job openings also include location. So if you would analyze a large company with many subsidiaries one could identify which regions they are currently investing in. Do they have 27 jobs open for an office in Hong Kong and 1 position open in France? Are they hiring for 12 SDRs in Utah and have 5 jobs open in New York -> this can help focus your efforts to promote your solution to the right subsidiary.

One of the good indicators is also job type. Is company offering Full-time, Part-time job or a Remote job possibility? For example your solution provides outsourced blog writing. Companies searching for part-time blog writers with a possibility of a remote work should prove to be a great fit. Thanks to job opening data you are able to figure this out and spend more time with highly qualified prospects.

You can combine hiring intent with other technographic data ie.: find companies using SalesForce, HubSpot, Tableau, AutoCad … & at the same time hiring for Marketing. These combinations can prove to be really powerful & help you pin point the target segment with laser like accuracy.

Happy selling!

Cheers, Roq

Segment Leads with Precision Using PredictLeads

February 7, 2017 /

PredictLeads is proud to announce our newly developed lead segmentation software system for uncovering and segmenting leads. With it, you can build perfectly tailored lead lists that go beyond traditional firmographics.

🔎 Segment Companies by:

  • Hiring activity – e.g. developers, marketers, sales talent
  • Technology stack – Salesforce, Oracle, SAP, and more
  • Forward-thinking practices – agile development, data-driven initiatives, content marketing, customer success, modern prospecting
  • Recent events – product launches, funding rounds, office expansions, asset investments, new app releases, HQ relocations, leadership changes
  • Key contacts – find companies led by the exact roles you want to target (CTO, CMO, co-founders, etc.) using our innovative software for lead segmentation.

Why This Matters

Personalization wins deals. Now you can:

  • Generate hyper-personalized outreach emails
  • Target companies based on real-world signals that were previously hard to track
  • Filter with granularity (e.g. not just “leadership change,” but only companies that changed CTOs, or not just “launched a product,” but those launching mobile apps)

Your audience becomes super-targeted, your messaging laser-focused. That means fewer irrelevant emails and more conversations with companies that truly benefit from your product.

How We Do It

Using natural language processing and machine learning, PredictLeads continuously scans job postings, blogs, and news sites to structure key business events into actionable data by using sophisticated lead segmentation software.

This adds a new dimension to lead segmentation—on top of firmographic filters (location, size, revenue) and technology data (like Datanyze provides), you can now target based on dynamic, timely business activities.

🚀 Focus on Spear Accounts

This isn’t about building massive lists of 50,000+ names. Instead, it’s about high-value accounts with big ROI—the spear accounts, as Jason Lemkin calls them.

We recommend:

  • Fewer, but better-qualified leads
  • Tailored, supervised outreach rather than fully automated drip campaigns informed by effective segmentation software for leads.
  • Investing effort into accounts most likely to convert

The payoff? Less spam. More conversations. Higher ROI.

Want to learn more? Feel free to let us know “here”

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Job Openings Dataset

October 9, 2016 /

We started PredictLeads with the mission to find actionable business data in public documents. One of our innovations includes the Job Openings Dataset, which provides valuable insights for businesses.

HISTORY

Job postings were always among the most valuable business signals we tracked. Early on, our clients asked not just for news and funding events, but for insights into who companies were hiring, for what roles, and in which locations.

The challenge was that job data scattered across thousands of careers pages was unstructured, messy, and difficult to normalize. For example, one company may post “Software Developer” while another writes “Backend Engineer” — but both describe similar roles. Without standardization, insights were limited.

After months of developing crawling systems, mapping roles to O*NET occupation codes, and building quality checks, we’re proud to launch the Job Openings Dataset.

FUTURE

At its core, the Job Openings Dataset performs three key steps:

  1. Scan millions of company websites and career pages daily.
    Public source examples: job boards, ATS systems, company career portals.
  2. Extract and normalize job posting data.
    Entity examples: job title, description, salary, location, categories, seniority.
  3. Map jobs to standardized frameworks.
    Using O*NET codes and predictive tagging, postings are classified into consistent roles and families.

And just like with our other datasets, we apply a human supervision layer — ensuring the highest possible quality in classification and normalization.

EXAMPLES

To better picture the type of data, here are two JSON examples:

Job Opening Example (Engineering Role)

{
  "id": "4d5ac23c-5824-427d-96c6-4e8d50a4241a",
  "type": "job_opening",
  "title": "AI Engineer",
  "url": "https://www.ycombinator.com/companies/terra-api/jobs/0f5CP0r-ai-engineer",
  "first_seen_at": "2025-09-28T19:11:05Z",
  "last_seen_at": "2025-09-29T07:19:46Z",
  "categories": ["engineering"],
  "onet_data": {
    "code": "15-1252.00",
    "family": "Computer and Mathematical",
    "occupation_name": "Software Developers"
  },
  "salary_data": {
    "salary_low": 50000.0,
    "salary_high": 120000.0,
    "salary_currency": "USD",
    "salary_time_unit": "year"
  },
  "seniority": "non_manager",
  "language": "en",
  "location": "London, United Kingdom",
  "tags": ["Python", "Ruby", "JavaScript"]
}

Job Opening Example (Marketing Role)

{
  "id": "6a9f52b0-9b71-47a8-bc04-7d5e57dd2af1",
  "type": "job_opening",
  "title": "Marketing Manager",
  "url": "https://www.example.com/jobs/marketing-manager",
  "first_seen_at": "2025-09-20T10:15:00Z",
  "last_seen_at": "2025-09-28T12:45:00Z",
  "categories": ["marketing"],
  "onet_data": {
    "code": "11-2021.00",
    "family": "Management",
    "occupation_name": "Marketing Managers"
  },
  "salary_data": {
    "salary_low": 70000.0,
    "salary_high": 95000.0,
    "salary_currency": "USD",
    "salary_time_unit": "year"
  },
  "seniority": "manager",
  "language": "en",
  "location": "New York, United States",
  "tags": ["Content Marketing", "SEO", "ABM"]
}

These are just 2 of 30+ categories supported (engineering, marketing, sales, finance, HR, and more). Full schema is available here: https://predictleads.com/docs/#job_openings

APPLICATIONS

The types of applications are (almost) endless, but here are a few we see most often:

  • Sales Enablement Solutions: identify prospects investing in teams relevant to your product.
  • Predictive Lead Scoring: hiring signals are some of the strongest intent indicators for buying readiness.
  • Account Based Marketing or Sales: personalize outreach with context such as “just hired a new Marketing Manager” or “expanding their engineering team in London.”
  • Recruiting & Talent Intelligence: map hiring velocity across roles, salaries, and geographies.
  • Market Analysis: spot industry-wide demand trends and role scarcity early.

CONTACT

Get access to the Job Openings Dataset or request your API key:

📧 sales@predictleads.com

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