Category: Uncategorized (Page 1 of 2)

Hydrogen is hiring: what the PredictLeads Jobs dataset says about sector health in 2025

October 2, 2025 /

If you want to know whether a sector is actually moving, don’t start with hype – start with hiring. We used the PredictLeads Jobs dataset (last 3 months) across leading hydrogen names to “nowcast” sector health. The takeaway: deployment is real, and it shows up in job titles first.

TL;DR

  • The PredictLeads Jobs dataset shows strong and recent hiring activity at major hydrogen companies, particularly in roles connected to deployment such as field and service positions, manufacturing, and engineering.
  • External market signals are consistent with what the hiring data reveals. The Global X Hydrogen Exchange Traded Fund (ticker symbol HYDR) has risen in 2025, reflecting investor optimism in the hydrogen sector. The International Energy Agency reports that hydrogen demand continues to grow and that there has been a wave of projects reaching the stage of Final Investment Decision, where companies formally commit capital to build. In parallel, the European Union Hydrogen Bank is providing funding for additional renewable hydrogen production capacity.
  • Falling interest rates are providing a supportive backdrop for capital-expenditure-intensive technologies such as hydrogen. The European Central Bank reduced its benchmark interest rate by 25 basis points in both March 2025 and April 2025, and the United States Federal Reserve lowered its policy rate in September 2025.
From job ads to energy shifts: What hiring tells us about the future of hydrogen.

What the PredictLeads Jobs dataset shows (last 3 months)

Air Liquide, Bloom Energy, and Plug Power are the backbone of current hiring:

  • Air Liquide: Fresh postings spike into September – a classic “projects greenlit → staff up” seasonality you expect when deployments move.
  • Bloom Energy: Steady month-over-month momentum. Stack R&D + manufacturing roles show factories and product lines scaling.
  • Plug Power: Heavy field & service footprint (commissioning, technicians, sustaining). That’s boots-on-the-ground work (aka real deployments).

Across companies, the role mix skews toward:

  • Field & Service → signal of installs, commissioning, and uptime SLAs.
  • Manufacturing → signal of throughput and factory capacity.
  • R&D & Engineering → ongoing stack, electrolyzer, and balance-of-plant improvements.

Why this matters: when a sector shifts from “talk” to “deploy,” job titles change first. The PredictLeads Jobs dataset is the fastest way to catch that turning point.

External confirmation the sector is moving (beyond our dataset)

Market proxy — HYDR ETF. The Global X Hydrogen ETF is up in 2025 on common trackers. That doesn’t prove revenues company-by-company, but it’s a clean risk sentiment read that aligns with our hiring picture.

IEA’s 2025 view – The IEA Global Hydrogen Review 2025 reports demand rising to ~100 Mt in 2024 and highlights 200+ FIDs through end-2024, i.e., a pipeline that naturally pulls hiring in engineering, manufacturing, and service. Growth is uneven, but the trajectory and investment signals are there. (FID being Final Investment Decisions)

EU Hydrogen Bank funding. The second auction drew strong interest and awarded ~€1 billion to 15 projects across the EU – another “real money → real people” link that matches the roles we see in the Jobs dataset.

Why rate cuts matter (and help what we’re seeing in the jobs data)

Hydrogen projects are capital-intensive. Lower rates improve project IRRs and make financing/offtake less painful. In 2025:

  • ECB reduced interest rates by 25 basis points in March and again in April which shows support for EU project finance.
  • Fed delivered its first 2025 cut in September – a broader risk-on nudge that tends to help thematics like H₂.

How to use the PredictLeads Jobs dataset like a pro

Steal this mini-playbook:

  1. Nowcast sector health
    Build a simple monthly postings index for a curated “Hydrogen 20” basket. Watch the mix shift from R&D → Field/Service/Manufacturing to know when deployments ramp.
  2. Commissioning heatmap
    Filter titles for “field”, “service”, “commissioning”. Map locations to see where projects are turning on. Use it for partner targeting and on-the-ground ops.
  3. Capacity & supply chain
    Track manufacturing roles (operators, line leads, welders). That’s your proxy for throughput and vendor demand coming down the chain.
  4. Talent & wage checks
    When ranges are present, parse & annualize to benchmark pay (useful for staffing, contractors, and budgeting).
  5. Bridge to markets (optional)
    Overlay your postings index with HYDR monthly returns and test 0–3-month lags. Hiring responds slower than prices, but the direction should rhyme if you’ve got the basket right. (The widget above lets you keep an eye on HYDR in real time.)

Bottom line

Hiring is one of the cleanest early signal we have. In hydrogen, the PredictLeads Jobs dataset shows the shift from “talk” to deploy: more field/service, more manufacturing, steady engineering. That’s what real projects look like from the inside.

Who we are (and why this works)

PredictLeads is a data provider focused on commercial signals (Jobs, News, Technologies, and more) delivered via API, FlatFiles and webhooks so you can plug insight directly into your models, decks, or ops. No platform to learn, just the data you need.

If you’re exploring hydrogen (or any sector where deployment beats hype) use the PredictLeads Jobs dataset as your lead signal.
Docs: https://docs.predictleads.com/v3

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Why Companies Rely on PredictLeads Data for Accuracy Instead of LLMs

September 29, 2025 /

Large Language Models (LLMs) are great at generating text, but when it comes to sourcing accurate, complete, and scalable company data for sales, they fall short. That’s why leading sales teams, investment firms, and go-to-market platforms rely on PredictLeads for reliable company data. When comparing PredictLeads company data vs LLMs, PredictLeads clearly outperforms in accuracy and completeness. Therefore, the debate around PredictLeads company data vs LLMs tends to favor PredictLeads for its precision.

We provide verified, structured, and instantly available datasets that make LLMs more powerful — instead of trying (and often failing) to have them collect the raw data themselves.

Here’s why the choice of PredictLeads company data vs LLMs can impact your workflow’s effectiveness:

1. Accuracy You Can Trust

Companies choose PredictLeads because our data is factual and verified at the source. LLMs, when tasked with crawling and extracting data, can misinterpret, skip over important details, or even hallucinate results. PredictLeads ensures your workflows run on solid, reliable inputs by leveraging detailed PredictLeads company data.

2. Complete Data, Not Just a Subset

LLMs often capture only fragments of information. For example, Tesla is hiring for 4,100+ positions right now. An LLM may return just a few dozen roles — sometimes only 3% of the total. That means missing critical senior or C-level positions that reveal Tesla’s strategy.

With PredictLeads, you get the entire dataset upfront and can filter for the insights that matter most, emphasizing the advantage of company data vs LLMs.

3. Breadth of Sources Beyond the Obvious

LLMs are limited to surface-level results, typically pulling from a company’s own website. PredictLeads scans across 100+ million company websites, surfacing signals like:

  • Case studies companies publish with partners
  • Emerging hiring trends
  • Strategic announcements beyond the press releases

For instance, while an LLM might only capture what NVIDIA says about itself, PredictLeads uncovers what other companies are saying about working with NVIDIA — a much broader and more valuable picture, highlighting the advantage of choosing PredictLeads company data over LLMs.

4. Instant Results, No Waiting Around

When speed matters, PredictLeads delivers. LLMs can take over a minute to fetch and process all open roles or case studies for a company. That’s a non-starter for busy sales reps or analysts.

PredictLeads data is already structured and available via flat file exports or integrations. Queries return results in milliseconds — fueling workflows without delay, proving efficiency in the PredictLeads company data vs LLMs comparison.

5. Built to Fit LLM Workflows

Even the best LLMs struggle with large amounts of raw data. A single case study might run 15,000+ characters. Feeding an LLM dozens at once causes context window overload and hallucinations.

PredictLeads provides concise summaries (~300 characters) of case studies, partnerships, and events. This means your LLM agents can handle more inputs, connect dots faster, and produce more accurate insights, making the company data vs LLMs discussion lean towards PredictLeads.

6. Beyond Enrichment in Clay

Our data is available in Clay if you already know which company domains you want to enrich. But most companies rely on us directly because we provide:

  • The full dataset of some 100M+ companies (including ones you haven’t identified yet)
  • Historical exports to track changes over time
  • Additional fields like timestamps and confidence scores not included in Clay

This makes PredictLeads not just an enrichment tool — but a data foundation for growth and investment strategies, illustrating the importance of selecting PredictLeads company data vs LLMs.

Why Companies Rely on PredictLeads company data

At the end of the day, companies don’t want their LLMs wasting time and compute on incomplete or unreliable data gathering. They want their LLMs focused on analysis, insights, and execution.

That’s why they rely on PredictLeads — to provide structured, factual, and scalable datasets that make LLMs (and the teams using them) perform at their best. Thus, the effectiveness of PredictLeads company data vs LLMs is evident in their performance.

Interested in exploring how PredictLeads can fit your workflow? Let’s set up a quick call.

Interested in our docs? Here they are:)!

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How Experts Use PredictLeads Data to Drive Smarter Outreach & Growth 🤔

February 21, 2025 /

To enhance your sales strategy, consider using PredictLeads data for your outreach. The best sales and marketing teams know that data is the foundation of relevance. Whether you’re crafting hyper-personalized outreach, identifying high-intent leads, or building a smarter go-to-market strategy, having the right insights at the right time makes all the difference.

At PredictLeads, we’re excited to see industry leaders leveraging our data to build more efficient, scalable, and highly relevant outreach strategies. Recently, some of the best in B2B sales, GTM, and demand generation have shared how PredictLeads enhances their workflows – and we want to highlight their incredible insights.

How Experts Are Using PredictLeads data for sales outreach

Across LinkedIn, industry professionals have been tagging PredictLeads and showcasing real-world applications of ourJob Openings, Technographic and News Events dataset.

📌 Job Openings as a Sales Trigger

🔹Soheil Saeidmehr (ColdIQ) and Dan Rosenthal (ColdIQ) incorporate job data into ABM (Account-Based Marketing) strategies. By combining hiring signals with firmographic and technographic data, they’re ensuring outreach messages are laser-focused on real buyer needs.

🔹 Hermann Siering (Noord50) points out how job vacancies can be a powerful trigger for outbound sales. If a company is hiring for a marketing role, why not introduce them to marketing automation software that can help their growing team? By scraping job postings with PredictLeads, sales teams can identify high-intent prospects before competitors do.

🔹 Davidson B (Zerocac) takes this further by highlighting how 57+ sales triggers, including hiring data, can boost GTM efficiency. If your sales team is still relying on manual research, you’re missing out on automated intent signals that help you reach the right accounts at the right time.

📌 Technographic Data for Smarter Targeting

🔹 Michel Lieben (ColdIQ) recognizes that B2B data is evolving, and relying on traditional databases isn’t enough. Instead, companies are turning to PredictLeads for real-time technographic insights, helping them find companies that use specific tools.

🔹 Andreas Wernicke (Snowball Consult) howcases PredictLeads, emphasizing how deep tech stack insights can determine whether a prospect is a good fit before outreach even starts.

🔹 Eric Nowoslawski (Growth Engine X) explains how technographic data can be used not just for competitor switching campaigns, but also for identifying complementary integrations. If a company already uses a relevant tool, your solution may be a perfect fit for their existing stack.

📌 Combining Multiple Signals for High-Intent Outreach

🔹 Dvin Malekian (Warmleads.io) and Elom Maurice A. stress the importance of layering multiple signals – technographic data, hiring patterns, and company news – to build hyper-targeted outreach lists. With PredictLeads, sales teams can enrich data without manually cross-referencing multiple sources.

🔹 Benoit Lecureur (gyfti) and Papa A. Sefa (Leveraged Outbound) highlight PredictLeads as a core provider of raw intent data, which can then be enhanced through tools like Clay and Smartlead for fully automated campaigns.

🔹 Hammad Afzal (Netsol Technologies) incorporates PredictLeads into a 2025-ready GTM stack, using our data to identify high-intent accounts and track job changes that indicate buying readiness.

📊 Why PredictLeads Data Gives You an Edge

Traditional cold outreach is a numbers game – but without the right insights, it’s just noise. Instead of blindly messaging tens of thousands of prospects, top-performing teams use data to turn cold emails into highly targeted, relevant outreach.

With Hiring signals, Technographic insights, and News Events data, teams can:

✅ Reach the right accounts at the right time based on real buying signals
✅ Personalize at scale without sacrificing efficiency
✅ Cut through the noise by focusing on companies that actually need their solution

Cold outreach isn’t the problem  – irrelevant outreach is. PredictLeads helps you change that.

THANK YOU! 🙏 💜

We’re incredibly grateful to all the content creators and industry experts who have shared how they use our data. There are many more insights out there, and we’d love to feature even more strategies!

💡 Have you used PredictLeads in your sales or marketing process? Drop your experience in the comments or tag us on LinkedIn – we’d love to hear from you!

#B2BData #SalesIntelligence #GrowthMarketing #SalesEnablement #OutboundProspecting #ABM #GTM

The First Data-Driven VC Hackathon

January 20, 2025 /

Last week, we were proud to sponsor the Data-Driven VC Hackathon, co-organized by Red River West and BivwAk! by BNP Paribas in the heart of Paris 🇫🇷.  Over two action-packed days, 80 participants – including developers, data scientists, and VC professionals – came together to tackle one ambitious goal: revolutionizing how venture capitalists make decisions with the power of data. This foundation in Paris will pave the way for the Data-Driven VC Hackathon Paris 2025 event.

Why This Hackathon Matters

The VC industry has long been due for innovation in how data is leveraged. While traditional methods have their place, the hackathon demonstrated that by combining cutting-edge tools, open-source collaboration, and diverse talent, we can push the boundaries of what’s possible. The event offered participants exclusive access to APIs from tier-one data providers. These included PredictLeads, People Data Labs, Similarweb, and Harmonic. This empowered them to bring their most creative ideas to life. Furthermore, the upcoming 2025 hackathon in Paris is expected to build on these innovations in anticipation of the Data-Driven VC Hackathon Paris.

The Winning Project: Pulse

The first-place project, Pulse, blew the jury away with its dynamic, data-driven approach to market segmentation. Built on enriched textual data from sources like PredictLeads, Pulse uses NLP-powered clustering to segment companies into evolving markets. The tool doesn’t just map existing trends but it also visualizes how markets evolve in real-time, offering an extreme level of granularity. This capability has the potential to change how VCs identify opportunities and allocate resources, a key focus for future Data-Driven VC events including those planned for Paris in 2025.

What Made This Event Unique

  • Diverse Participation: Teams were composed of coders, data scientists, and VCs from across Europe, creating an ecosystem of expertise and perspectives.
  • Real-World Impact: The projects weren’t just ideas but functional prototypes published under an open-source MIT license. This ensures the broader VC community can build on the innovations from the event. 🛜
  • VC-Specific Tools: From automated market trend analysis to productivity-enhancing tools for VC workflows, the projects tackled real challenges faced by investors every day. The aim is for Data-Driven VC Hackathon Paris 2025 to further this mission.

PredictLeads’ Role

As a sponsor, PredictLeads provided participants with access to our comprehensive company intelligence datasets, enabling them to work with real-world data. The winners used our insights to identify market shifts, analyze startup activities, and create actionable intelligence. Our mission has always been to make it easier for decision-makers to stay ahead of the curve. This event was a perfect opportunity to showcase how our data can empower innovation, especially looking towards 2025’s Data-Driven VC Hackathon in Paris.

Looking Ahead

The energy at BivwAk! was contagious, and it’s clear that this hackathon is just the beginning. As projects like Pulse continue to evolve, they could become the foundation for new startups. They may transform tools for VCs. The open-source nature of the event ensures that these innovations are accessible to all, fostering collaboration across the industry. This is crucial for future Data-Driven VC events in Paris, especially as we approach 2025.

To the organizers, mentors, and sponsors: thank you for making this event a resounding success. And to the participants: your creativity and dedication were inspiring. We can’t wait to see where this journey leads.

Stay tuned for updates and feel free to explore the winning projects on GitHub. Let’s keep innovating together!

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Overcome Market Challenges by Leveraging Investor Networks 🤔

October 21, 2024 /

In today’s highly competitive market, leveraging investor networks for business growth can be a key strategy for companies offering innovative solutions that often face significant challenges in scaling their businesses. Despite having a great product or service, many companies struggle to:

  • Break into new markets: Identifying and engaging with potential customers in new sectors or geographies can be daunting.
  • Build trust quickly: Establishing credibility with prospects, especially in B2B markets, can take considerable time and effort.
  • Stand out among competitors: Differentiating from competitors in crowded markets is increasingly difficult.
  • Access the right networks: Many companies lack the connections necessary to open doors to high-value prospects or strategic partners.

These challenges can slow down growth and make it harder for companies to reach their full potential, even when they have strong products and a clear value proposition.

How Investors Can Step In: Leveraging Investment Networks

This is where your investors can play a pivotal role. Many venture capital firms, such as Sequoia Capital, Andreessen, and Insight Partners, have extensive networks that go beyond mere financial backing. These investors have invested in a diverse portfolio of companies, creating a network of businesses that can be leveraged to accelerate your growth. Here’s how:

Leveraging Investor Introductions

Your investors can facilitate introductions to other companies within their portfolio. These introductions can be invaluable, providing you with direct access to potential customers, partners, or even key industry influencers.

  • Example: If your company is backed by Sequoia Capital, they can introduce you to other companies in their portfolio that could benefit from your product. This not only opens the door to new business opportunities but also provides a trusted endorsement that can significantly shorten the sales cycle.

Proactive Outreach Using Shared Investment as a Connection Point

Rather than relying solely on investor introductions, you can take a proactive approach. While a shared investor relationship helps establish credibility, it’s important to highlight why your outreach makes sense for the recipient. A tailored message that emphasizes a logical fit between your offering and their current needs will go much further.

  • Example: If GV (formerly Google Ventures) has invested in both your company and Verve Therapeutics, you could reach out to Verve Therapeutics with a message like:

“Hi Mike,Saw we’re both fellow GV portfolio companies and that you’re hiring heavily for your Marketing department. We provide [x marketing software], and thought we should chat to see if we can support your efforts.”

The focus here isn’t just on the shared investor, but on how your product could address their specific needs – in this case, scaling their marketing team. This not only builds instant credibility but also offers a clear, relevant reason for them to engage in a conversation.

Additional Use Cases: Uncovering Broader Business Relationships

The value of your investor’s network extends beyond just portfolio companies. The dataset also uncovers other crucial business relationships such as partners, vendors, sponsors, and more. These connections can be leveraged in various ways:

  • Identifying Strategic Partners: Discover companies that share common partners with your business, opening up possibilities for joint ventures, collaborations, or technology integrations.
  • Vendor Optimization: Uncover potential vendors within your investor’s portfolio or those of their partners, enabling you to streamline your supply chain or access better resources.
  • Sponsorship Opportunities: If your investor has connections with companies that are looking for sponsorship opportunities, this data can help you identify potential sponsors who align with your brand.

Mentioned Companies

The investment companies and some of their notable recent investments include:

Conclusion: The Power of Strategic Network Utilization

By strategically utilizing the investment network data, your company can overcome the common challenges of breaking into new markets, building trust, and accessing the right networks. Whether through facilitated introductions by your investors or proactive outreach, the shared investment relationship serves as a powerful tool for building trust and opening doors. Additionally, by exploring connections such as partners, vendors, and sponsors, you can further optimize your business operations and discover new growth opportunities.

Would you be interested in utilizing this data in platforms to supercharge your sales outreach and lead generation strategies? You can find the full report and more details here.

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Introducing PredictLeads’ New Technology Detection API Endpoint

August 21, 2024 /

We are excited to announce a new API endpoint from PredictLeads designed to help you discover which companies are utilizing specific technologies. Whether you’re tracking the adoption of CRM systems, cloud computing platforms, enterprise resource planning tools and more, this API offers a powerful way to gather and analyze technology usage data across the web.

How It Works

Our new endpoint allows you to ping a specific Technology ID and receive a detailed list of companies and websites utilizing that technology. This data can be invaluable for market research, sales prospecting, competitive analysis and more.

Example API Endpoint

You can use the following endpoint to start exploring technology detections:

https://predictleads.com/api/v3/discover/technologies/[TECHNOLOGY ID]/technology_detections?api_token=[API_token]&api_key=[API_Key]

Here are some Technology IDs you can use to test the API:

What You Get

When you query this endpoint, the API returns data about where the technology has been detected, including:

  • Company Information: Details about the company using the technology.
  • Subpage Detections: Specific subpages where the technology has been found.
  • Technology Details: Information about the technology, such as its name, description, and category.

Sample cURL Request

Here’s an example of how you can make a request using cURL:

curl –request GET \

  –url https://predictleads.com/api/v3/discover/technologies/70392f20-b531-53cc-afa6-26416c0d582d/technology_detections \

  –header ‘X-Api-Key: {your_api_key}’ \

  –header ‘X-Api-Token: {your_api_token}’

Additional information can be found in our docs “here”. 

Interested in Trying It Out?

We’re offering 100 free API calls to anyone who wants to test this new endpoint. Sign up at PredictLeads and start exploring + Feel free to let us know if there are any specific technologies or IDs you’d like to check the coverage of.

Note on Development

Please note that we are continually improving this endpoint, and your feedback is essential. If you encounter any issues or have suggestions, feel free to reach out to our support team.

Technology Data Snapshot

  • Technologies Tracked: ~15,000
  • Technology Adoptions Detected Since 2018: ~636 million
  • Websites Tracked: ~47 million
  • Technology Identifications Last Month: ~18 million
  • Technology Identifications Last Year: ~193 million

We look forward to seeing how you use this new feature to enhance your business intelligence and decision-making processes!

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Boost Your Lead Generation and Email Campaigns with Connections Dataset

July 25, 2024 /

Hey everyone! Today, let’s dive into how personalized sales outreach with data can revolutionize your approach and make connections more meaningful.

In sales, finding and engaging the right prospects can feel like searching for a needle in a haystack. Sending non personalized emails is just a thing of the past and companies offering sales solutions are looking into data to add that personalized touch that increases those reply rates that we all like.

Job Openings Dataset as well as the News Events Dataset are incredibly useful and widely adopted for uncovering new leads and improving sales outreach. However, there is a unique dataset that is gaining significant attention. This dataset, which is not yet widely used due to its limited availability, holds great potential for transforming sales strategies. Here is why:

We all know that companies like to put logos of other companies they work with, on their website to gain credibility. Since those logos are often not backlinked, PredictLeads has built an image recognition system that connects these logos with company domain names. By checking the company’s Case studies pages, testimonials, “Our customers” sections and more allows PredictLeads systems to identify them as customers, partners, vendors, sponsors and more.


Here’s a quick rundown of how the Connections Dataset can revolutionize your sales efforts and how it’s used to target High-Value Prospects.

Identifying and Prioritizing Key Prospects

First up, let’s talk about finding those high-value prospects. With the Connections Dataset, you can pinpoint companies that already have significant relationships with your existing clients or partners. This means they’re more likely to convert because there’s already some trust and relevance built in.

How to Do It:

  1. Analyze Data: Dive into the Connections Dataset to find companies that share multiple connections with your current network.
  2. Prioritize Prospects: Rank these companies based on the number and quality of shared connections.
  3. Sales Outreach: Focus your efforts on these high-value prospects. Make sure to highlight the mutual connections and the benefits of joining an established network.

Example: A SaaS company finds that several of its clients are partners with a leading industry player. By targeting this player and emphasizing the mutual benefits, they can craft a top notch outreach that’s hard to ignore.

Next, let’s make your emails shine. 

Personalized outreach campaigns are the way to go because they address the specific needs of each recipient. By referencing the target company’s partnerships or integrations, your emails can be way more relevant and engaging.

How to Do It:

  1. Gather Insights: Use the Connections Dataset to get detailed insights into the target company’s partnerships and integrations.
  2. Personalize Emails: Craft email content that references these relationships, making it super relevant.
  3. Automate Personalization: Use AI tools to scale this personalization process, ensuring each email is tailored to the recipient’s context.

Example: An AI-powered email platform identifies a potential client’s recent partnership with an e-commerce platform like Shopify. They send a personalized email campaign highlighting success stories of similar clients who benefited from this integration. Boom -> relevance and appeal.

Warm Introductions through Mutual Connections

Finally, let’s talk about using mutual connections for warm introductions. These can significantly boost your chances of successful engagement. The Connections Dataset can help you leverage existing relationships to approach leads with more trust and credibility.

How to Do It:

  1. Map Networks: Use the ConnectionsDataset to map out mutual connections between your company and target leads.
  2. Request Introductions: Reach out to these mutual connections for warm introductions, explaining the mutual benefits.
  3. Follow-Up Strategy: Develop a follow-up strategy that leverages the credibility of the mutual connection.

Example: A lead generation company finds that one of its key clients is also a partner of a high-value prospect. They request an introduction from the key client, who provides a warm referral, significantly improving engagement chances and improves their data-driven sales outreach.

Utilizing AI for Enhanced Personalization & amplify the Impact with automation

AI can take your use of the ConnectionsDataset to the next level by automating the analysis and personalization processes. Here are some tips: 

  1. Automated Analysis: AI analyzes the dataset to identify patterns and insights, like high-value prospects and mutual connections.
  2. Scale Personalization: AI personalizes email content at scale by incorporating insights from the dataset into email templates.
  3. Predictive Analytics: AI uses historical data to predict which prospects are most likely to convert, helping prioritize efforts.
  4. Continuous Learning: AI systems learn from campaign outcomes, refining algorithms to improve future personalization and targeting.

Example Implementation:

An AI-powered email platform integrates with the Connections Dataset, analyzing the dataset to identify key relationships and generating personalized email content. It predicts which prospects will respond positively and continuously refines its personalization algorithms.

Conclusion

Since 2019, over 170 million business connections have been detected, with business connections data available for 38,5 million websites. Last month alone, there were approximately 12 million business connections, and around 57 million over the past year. The Connections Dataset is a goldmine for lead generation companies and those using AI for personalized emails. By providing detailed insights into company relationships, it helps you target high-value prospects, create relevant and engaging email campaigns, and leverage mutual connections for credible engagements. Combined with AI, it automates these processes and achieves personalization at scale, leading to higher engagement rates and better sales outcomes.

Feel free to let us know if you or if you’d like to learn more. We’re here to help:)!

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Supercharge Your Sales Career: 1,000 New Opportunities Await!

April 9, 2024 /

Hey everyone! 👋

We’ve got some exciting news for all you sales pros out there. Our team at PredictLeads has put together a list of 1,000 sales job openings.

We’re sharing it with you in a Google Sheet right here: 
https://lnkd.in/dn7xiqCB

This list isn’t just any list. It’s especially useful for people selling Lusha, Salesforce, LinkedIn Sales Navigator, HubSpot, SalesIntel.io, LeadGenius, and other sales tools.

Here’s why you might find it handy:

  • See which companies are hiring for sales roles and might be interested in what you’re selling.
  • Use the data to make your marketing efforts more specific and effective.
  • Spot hiring trends that could lead to new opportunities for your business.

What can you expect in the shared file:

  • Job openings Title
  • Website domain 
  • Company Ticker 
  • Companies Meta Description 
  • & Much more

And if you’re really into data, we’ve got something special for you. We have a massive database with over 157 million job listings.
You can dive into this data or use our API to get the insights you need directly.

We’re making a new list of job openings perfect for people at big companies like PwC, EY, KPMG, and Accenture. Want to find a great role? Let us know what you’re looking for.

Got questions or want more info? Email us at info@predictleads.com 

💜 Stay awesome!💜

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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