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Introducing Key Customer Data

April 16, 2020 /

Introducing PredictLeads’ Key Customer Data API

PredictLeads is excited to announce the launch of Key Customer Data, our newest dataset designed to give sales, marketing, and investment teams unprecedented insight into a company’s ecosystem of relationships.

With this addition, PredictLeads now offers four core datasets:

  • News Events – real-time monitoring of company activity and mentions
  • Hiring Intent – job postings and recruitment signals to reveal growth plans
  • Technologies – up-to-date technology stacks powering companies
  • Key Customer Data – detailed insights into customers, partners, sponsors, vendors, investors, and more

What Is Key Customer Data?

As the name suggests, Key Customer Data identifies who a company is doing business with. This includes:

  • Customers and clients
  • Strategic partners and sponsors
  • Vendors and suppliers
  • Investors and portfolio companies

We extract this information from multiple trusted sources, such as:

  • Case study pages and client success stories
  • Testimonial and “Our Customers” sections on websites

To go even further, we use image recognition technology to connect logos found on websites to the correct company domain. This ensures accuracy and enables you to quickly map out real customer relationships.

Why Company Data Such As Key Customers Matters

Key Customer Data helps answer questions like:

  • Which companies are using my competitor’s product?
  • Who are the top sponsors or partners of a given business?
  • What vendors or suppliers does a target company rely on?
  • Which portfolio companies does a VC firm back?

With this intelligence, teams can:

  • Generate higher-quality leads by targeting companies with proven buying signals
  • Refine account-based marketing (ABM) strategies with more context on relationships
  • Support competitive intelligence by tracking who is working with whom
  • Accelerate partnership development by identifying relevant ecosystems

Clean, Developer-Friendly APIs

Like our other endpoints, Key Customer Data is delivered through clean, modern APIs following the JSON:API specification.

You can also access the data via:

  • Flat Files – ideal for bulk delivery
  • Webhooks – for real-time updates and integrations

Our APIs are designed for easy integration into CRMs, sales intelligence platforms, and data workflows, making it simple to enrich company profiles and enhance decision-making.

Getting Started

Ready to explore the new dataset? Getting started is simple:

  1. Sign up here: https://predictleads.com/sign_up
  2. Access your API key directly in your account settings
  3. Explore the documentation for Key Customer Data here: https://predictleads.com/docs/#connections

For further details or custom requirements, contact us at sales@predictleads.com and our team will be happy to help.

Final Thoughts

At PredictLeads, we believe the future of B2B sales and marketing lies in data-driven decision-making. With the addition of Key Customer Data to our product suite, companies can now unlock a clearer, more accurate picture of business relationships worldwide.

Start enriching your workflows today and discover how Key Customer Data can give your team the competitive edge.

Cheers,
PredictLeads Team

Exciting News – Native Salesforce App Coming This November!

August 31, 2019 /

PredictLeads is thrilled to announce that we’ve started building a native Salesforce app, launching on the Salesforce AppExchange in November 2019.

This app will make it easier than ever to enrich your target accounts with:

  • Job Openings data
  • News Events data
  • Technologies data
  • Business Connections (partners, clients, vendors, etc.)

It will also bring the power of our Discovery endpoint directly into Salesforce. That means you’ll be able to run advanced searches such as:

  • “Show me all companies that use Slack and have signed Inc. 5000 clients in the past month.”
  • “Show companies hiring for Marketing that are already working with one of our clients.”
  • “Show companies that launched mobile apps and received funding in the past year.”
  • “Show companies planning to expand offices to Tampa, Florida in 2020.”

Over the years, we’ve heard these types of questions countless times from prospects who wanted to use our data but didn’t have engineering resources to integrate our APIs. Now, with Salesforce integration, you’ll be able to get these answers instantly-without writing a single line of code.

Salesforce is just the beginning – other platforms will follow soon.

If you’d like to learn more or explore how we can help you answer your most important business questions, reach out to us at info@predictleads.com your business questions please contact us at info@predictleads.com.

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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

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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. 🚀

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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

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