Category: Competitive Intelligence

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

February 21, 2025 / Robert Fon

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

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

Job Listings → Supply Chains → Secrets Revealed 🤯

January 6, 2025 / Robert Fon

Supply chains are under great strain, and no… this is not another COVID post🤷.

Welcome to the “bright” present, where Lizard people and Illuminati decide that global labor shortages, geopolitical disruptions, and the rapid push for sustainability are something that businesses worldwide must adapt to.

Traditional data sources like financial reports and production metrics have long been the “go-to” of supply chain analysis. However, an often-overlooked resource – job openings – offers unique and interesting insights into a company’s operational strategies and supply chain shifts.

Let’s be honest -> the market is volatile (to say the least), and consulting firms are looking into multiple data sources to understand what’s happening.
Enter job data, a real-time indicator of a company’s priorities, challenges, and strategic moves. For supply chain professionals, analyzing job openings can provide early warnings of risks, identify opportunities, and gain competitive intelligence to stay ahead.

The Shifting Landscape of Supply Chains

Let’s examine some of the biggest forces shaking up global supply chains today:

Geopolitical Instability
The U.S. CHIPS Act and Europe’s push for local manufacturing are changing trade dynamics. Companies are moving operations closer to key markets, creating both challenges and new opportunities across industries.
Labor Shortages
The U.S. faces a shortfall of 80,000 truck drivers, pushing up costs and causing delivery delays. Globally, competition for talent in critical sectors like warehousing and logistics is intensifying.
The EV Transformation
The automotive industry is racing to electrify, but not everyone is winning. For instance, Volkswagen (VW), Europe’s largest carmaker, faces a 64% profit slump and plans to close plants and cut tens of thousands of jobs due to struggles with EV adoption.
Automation and AI Integration
Companies are heavily investing in robotics and AI to streamline operations. According to recent reports, the global warehouse automation market is projected to reach $35 billion by 2025, expanding at a compound annual growth rate (CAGR) of 12% from 2021 to 2024.

Traditional metrics like quarterly reports lag behind these changes. In contrast, job postings provide unfiltered, real-time insights into how companies are addressing these challenges.

The Volkswagen Crisis and its Supply Chain Wake-Up Call ⏰

The recent Volkswagen (VW) crisis exemplifies how job data can reveal deeper supply chain issues. Facing stiff competition from Tesla and Chinese EV makers, VW’s inability to keep up with market demands has led to plans for plant closures and job cuts (worthy mentions are also EU and its bureaucrats). The automaker’s net profits plummeted by 64% in Q3 2024 compared to the previous year.

The crisis highlights broader challenges:

Labor Shifts
VW subsidiary Audi plans to halt EV production at its Belgium plant, affecting 3,000 jobs. German automakers have collectively shed 46,000 jobs since 2019, with more to come.
Technology Gaps
As competitors like Tesla dominate EV sales globally, VW’s slower adoption of cutting-edge EV technologies has been costly.
- Worthy mention is also BYD… But lets stick for cars that can actually steer 😬.

Analyzing job data could have provided early warnings, such as fewer postings for high-tech roles or shifts in hiring priorities away from EV development.

Supply Chain Insights with Job Data

Now lets focus on the main event! PredictLeads’ Job Openings Dataset (woop woop 🎊).

Here is where we have uncovered over 192 million job postings across 1.7 million websites since 2018. Here’s how this data can help out.

Spot Emerging Trends
A surge in logistics job postings in Mexico aligns with North America’s reshoring efforts. Fun Fact => Mexico is now the largest importer to the U.S. ($43.7 billion) ahead of China ($39.9 billion). 🌮
Identify Bottlenecks Early
Aggressive hiring for similar roles in specific regions often signals labor shortages. Logistics companies scrambling to recruit truck drivers last year foreshadowed higher transportation costs and delays.
Evaluate Supplier Resilience
Job postings reveal supplier priorities. Companies hiring sustainability officers likely align with green initiatives, while those focused on automation are investing in efficiency.

Example: Semiconductor Shortages

The global chip shortage offers another compelling case. Months before the crisis peaked, companies like TSMC and Intel ramped up hiring for “Supply Planning Professionals” and “Procurement Specialists.” Tracking these trends could have allowed businesses to diversify suppliers or stockpile inventory before shortages disrupted industries.

The Advantage

PredictLeads’ Job Openings Dataset offers insights for supply chain professionals:

Job Titles and Categories: Understand where companies are investing resources.
Salary and Seniority Data: Understand labor market competition and hiring priorities.
Geographic Trends: Map hiring hotspots to identify growth or risk areas.
Technology Mentions: Spot the adoption of ERP systems, robotics, or AI.

With 7 million active job openings and 53 million new postings detected last year, this dataset provides a real-time pulse on global hiring trends.

Conclusion: Turning Job Data into Strategy

The Volkswagen crisis, semiconductor shortages, and the EV transformation remind us that supply chains are in constant flux (fancy talk for “nobody really knows what’s going on”). Job data offers a proactive, actionable lens into these shifts, enabling businesses to anticipate risks and seize opportunities before competitors.

As global supply chains will continue evolving in 2025, leveraging real-time job data could be the key to staying resilient and competitive.

Questions? We’re here to help! 🙂

(+ This is our first blog for 2025 → thank you so much for reading 🙏)

Unlock Business Insights with the 💜Clay + PredictLeads 💜 Integration

December 5, 2024 / Robert Fon

The Clay and PredictLeads integration is a game-changer for businesses looking to supercharge their prospecting and enrichment capabilities. This seamless connection enables users to access real-time data about companies, including the latest news, hiring trends, partnerships, and tech stack insights – all within the Clay platform. Whether you’re a sales professional, a recruiter, or an investor, this integration gives you the tools to make data-driven decisions and take actionable steps.

Here’s a step-by-step guide to get started:

Step 1: Register at PredictLeads

To begin, create your PredictLeads account by signing up here. Upon registration, you’ll receive 100 free API calls per month – perfect for getting started.

Once your account is set up, navigate to your Dashboard to locate your API Key and API Token.
Keep these credentials handy since they’ll be essential for connecting PredictLeads to Clay.

💡 Need more API calls? Reach out to PredictLeads at info@predictleads.com or use this link

Step 2: Add PredictLeads to Clay

Now that you have your API credentials, it’s time to integrate PredictLeads with Clay.

Open Clay and head to Settings > Connections.
In the integration provider search panel, look for PredictLeads.
Click Add Connection.

You’ll be prompted to:

Name your connection: Choose a descriptive name for your key.
Enter your PredictLeads API credentials: Use your API Key as the username and API Token as the password.

Once saved, Clay will generate a secure PredictLeads connection for you. 🎉

Step 3: Create a Workspace in Clay

With PredictLeads now connected, it’s time to build your workspace.

Create a new workspace in Clay – > this is where you’ll manage the domains you want to enrich.
You can either:
- Import domains directly from your computer or CRM, or
- Search for companies directly within Clay.
- And more… It’s Clay, so you know they got you covered 😉

Step 4: Enrich Your Data with PredictLeads

Once your domains are added, it’s time to enrich them using PredictLeads’ datasets.

Select the domains you want to enrich.
Search for PredictLeads in the enrichment panel.
Choose the datasets that suit your needs:
- Find Most Recent News: Stay updated on product launches, funding rounds, or acquisitions.
- Analyze Tech Stack: Gain insights into a company’s frequently mentioned technologies.
- Find Open Jobs: Uncover hiring trends and identify growth areas.
- Find Connections: Discover vendors, customers, and investors linked to a company.

Configure your inputs and let PredictLeads do the magic.

Managing API Calls

Each enrichment will consume PredictLeads API calls, so keep an eye on your usage here .

For additional API capacity, contact PredictLeads at info@predictleads.com.

Why Use the Clay + PredictLeads Integration?

This integration streamlines the process of gathering actionable insights. With just a few clicks, you can:

Personalize your outreach with relevant news.
Stay ahead of competitors by analyzing hiring trends and tech stacks .
Strengthen pitches with verified customer or vendor connections.

Whether you’re looking to close deals faster, identify investment opportunities, or build stronger partnerships, the Clay + PredictLeads integration is your ultimate tool.

🎯 Ready to try it out? Start by registering at PredictLeads and connecting it to your Clay account. Let us know if you have any questions – We’re happy to help 💜 💪

Happy enrichments! 🚀

💜How Blueprint Supercharges Sales with PredictLeads Data💜

May 13, 2024 / Robert Fon / 1 Comment

Navigating the sales landscape with data isn’t just about collecting information – It’s about turning it into actionable insights. This is exactly what Blueprint has mastered using PredictLeads.

🤘Let’s dive into how they do it. 🤘

Data at Work: Real Insights, Real Growth

Blueprint uses PredictLeads to perform deep technographic scoring, analyzing data on 500 new technologies each week. This isn’t just about knowing what’s out there -> it’s about predicting market trends and identifying emerging competitors, providing a clear advantage in crafting timely and relevant sales pitches.

Jordan Crawford, the founder of Blueprint, puts it simply: “It’s not about having more data, but about having the right data that you can actually use.” This is where PredictLeads shines, offering depth with actionable insights.

Key Stats and Strategic Decisions

With PredictLeads, Blueprint isn’t just collecting data -they’re strategically deploying it.

Here’s how:

Job Openings Data: By analyzing the hiring trends of potential clients, Blueprint can pinpoint when companies are expanding and tailor their pitches to meet these growth phases.
Technology Adoptions: Tracking 636 million technology adoptions helps Blueprint stay ahead, suggesting when companies are likely to need their cutting-edge solutions.

A Relationship Built on Success

Blueprint’s partnership with PredictLeads goes beyond data. It’s about continuous support and collaboration, which Crawford describes as unparalleled. “PredictLeads always finds a way to make it happen,” he says, emphasizing the personalized support that helps Blueprint leverage data effectively.

For those eager to dive deeper into this use-case, you can check it out here.

If you have any questions, please don’t hesitate to reach out to us at: info@predictleads.com

We are here to help:)!

💜Stay Awesome💜
PredictLeads team

Understanding Pension Funds’ Strategic Shift to Private Markets with PredictLeads’ Data

May 10, 2024 / Robert Fon / 1 Comment

As global pension funds like CalPERS increasingly redirect investments from public equities to private markets, the demand for precise, actionable insights grows significantly. This strategic transition, aimed at securing higher yields and reducing market volatility, is particularly highlighted by pension funds’ systematic moves towards assets like private equity and private debt.

The Role of PredictLeads’ Data in Navigating Private Markets

Job Openings Data:

PredictLeads’ Job Openings Data provides real-time insights into hiring trends directly from company websites, reflecting growth and expansion activities within specific sectors. An increase in recruitment, especially within sectors like private equity and private debt, often suggests robust sector health and promising profitability prospects. For pension funds diversifying their portfolios into these private markets, such insights are critical. They help align investment strategies with sectors that demonstrate strong growth potential, making this data invaluable for funds adjusting to the dynamic conditions of private markets. Additionally, pension funds can use this data to identify emerging industries or regions where new skills are in demand, providing an early indicator of economic shifts that could influence long-term investment decisions.

Business Connections dataset:

The Business Connections dataset from PredictLeads employs advanced image recognition to scan and categorize logos on company websites, unveiling key customer relationships often obscured in conventional financial reports. This dataset is especially valuable for pension funds engaging in scoring potential (startup) investments. Identifying major clients, particularly public companies, allows funds to assess a startup’s credibility and market traction. Companies with esteemed, stable clients can be scored higher, indicating lower risk and potentially higher reliability as investment opportunities. This insight is crucial for informed decision-making in public market investments.

Pension funds can leverage this data to assess the market reach and network strength of potential investments, ensuring a more comprehensive risk assessment and decision-making process. Furthermore, this dataset allows pension funds to monitor the customer base stability of current investments, providing ongoing risk management and insight into market position changes.

Broader Market Implications:

The shift of pension funds toward private markets not only reshapes their investment strategies but also influences broader market dynamics. By utilizing PredictLeads’ alternative data, such as Job Openings and Business Connections, pension funds can gain deeper insights into the risk and potential of their private market investments, which are crucial for informed decision-making in an environment where traditional metrics fall short.

Moreover, this strategic use of alternative data helps pension funds anticipate market trends, adapt to economic changes, and identify investment opportunities early, maintaining a competitive edge in an increasingly complex financial landscape. Whether through pinpointing emerging sectors with job openings data or evaluating the robustness of potential investments with key customer analysis, these datasets provide critical insights that enhance and refine investment strategies.

Conclusion:

As the trend of pension funds moving towards private markets continues to grow, the importance of alternative data becomes increasingly central. Datasets like PredictLeads’ Job Openings and Business Connections dataset provide essential tools that enable large institutional investors to execute their strategies with greater precision and confidence. By leveraging these alternative data sources, pension funds can more effectively navigate the complexities of private markets, aligning their investment approaches with the most promising opportunities for sustainable returns.

Got questions? Don’t hesitate to reach out at info@predictleads.com!

Case Study: InReach Ventures & PredictLeads

October 12, 2021 / Mateja

InReach Ventures uses technology to help scale venture capital and make
investments in early stage startups throughout Europe. They built their own
proprietary software and developed a new model of investing to discover and invest in the most promising startups.

There’s a few major data challenges VC’s often face including data quality and the
time, effort and cost it takes to acquire or crawl data.

Here is a short interview with Ben Smith the Co-Founder / Partner / CTO of InReach Ventures and how PredictLeads company intelligence data helps InReach Ventures discover new companies and track growth signals for companies of interest.

How do you identify growing companies?

“InReach combines data from lots of different data sources. Some of that is around signals on how a company is performing like PredictLeads data, which helps us to find startups from all over Europe. This data, along with other types, allows us to look at how companies are growing, whether they’re growing their team, if they’re getting new customers or new business connections or partnering with different companies. “

Are there any specifics on how PredictLeads data is being used?

“With job postings in particular, outside the general idea that a company is growing positively, it gives us an idea whether there is real substance behind a company. Seeing that a company has a product and engineering DNA and are looking to invest more in it is a positive.”

What challenges were you able to overcome with PredictLeads data?

“It’s all about how best we leverage our own product and engineering resources. Having the InReach team focus on what we’re good at and working with partners that are better than us in areas is an important point of leverage.”

Why did you decide to subscribe to PredictLeads data?

“PredictLeads helped us by doing some of the work that we had always planned but never been able to prioritise. Finding news events around a particular company and identifying company customers through logos/connections is really interesting for us and also it’s something that takes significant time and effort to get right.”

What’s your view on the VC industry using data and what are the biggest challenges on the horizon in the industry?

“The value of data, machine learning and a data driven approach to capital is an ever growing trend. The point of venture capital is to fund innovation and how much innovation is happening in venture capital in the past 10 years is very limited. I think there is a change now where data and software is being seen as a way for venture firms to innovate their model. The issue that traditional VC firms first face is that culturally at their core, they are not a technology firm but a professional services organisation. Where we think we have an advantage is that we started as a technology, product and engineering organisation, taking a very data driven approach to venture capital. That’s where we think we will long term hold the advantage because we started doing this earlier. Traditional venture capital will start to utilise data over time, but at their core they are not tech or engineering organisations. Short term, data and tech will play a broader role in terms of the whole industry using it as it’s becoming more and more of a buzz and as data is becoming more demanded.”

What are some of the trends in Venture Capital?

“My co-founder and Investment Partner Roberto layed out the the data trend in VC well in his blog post: The Full Stack Venture Capitalist“

How do you see PredictLeads to help you achieve your long term goals?

“Two things PredictLeads does and will continue to do is that it helps us discover that a startup exists in the first place and then tells us whether there’s something interesting happening that we might want to talk to them about.”

Company intelligence data in your Sales enablement platform

January 25, 2021 / Fanny L

You’re already aware that the more insights and data you have on your prospects, the better. Exactly how could you take advantage of this data and how could it be integrated into your sales enablement platform?

Sales enablement platforms are without a doubt incredibly valuable to sales teams. They have endless use cases as illustrated in the “SalesTech Landscape” below – such as engaging clients with smart messaging tools, improving productivity with easy to use sales resources, identifying leads and scoring them, and of course, the CRM that helps you stay on top of customers and prospects.

In the CRM, all the information you have on your customers should be tracked, which can be made manually by the SDR itself or automated using a 3rdparty system. Data like company name, contact information and demographics is usually logged into the CRM and creates a long lead list of prospects. For sales teams to become successful they usually need more information than this. Here’s how sales intelligence like company intelligence data can enrich sales enablement platforms and improve the performance of SDRs using it:

Personalized Outreach

All SDRs have heard the importance of being personal. No prospect wants to listen to some robot pitching their idea without knowing a single thing about them, their company or understanding what value their product can give them.

PredictLeads can provide insights to increase Personalization such as:

News Events alerts like “Company X receives Y Award” can give you an icebreaker to open up the conversation by congratulating them and letting them know you did your homework.
Key Customers data insights can help you identify if you and the customer share the same partners or clients to build familiarity and trust.

Sales Triggers

Imagine you have this very long list of leads in your CRM. You start making phone calls from the top but cannot seem to move the deal forward even though you’re having great rapport with prospects. The most likely reason is you’re not reaching out to the right prospects, the ones that are in the buy mode. Companies are not always looking to invest in products for many reasons. Maybe they’re already satisfied with what they have, or they don’t currently have the budget to invest in new software or the product that you’re selling. With sales triggers you can identify companies with signals indicative of growth – meaning the company is more likely to invest.

Examples of Sales Triggers PredictLeads provide are:

Company signs new client.
Company launches new product.
Company received financing.
Company increases headcount.
Company made a new integration.
Company expands facilities.

Targeting Leads

When sourcing for leads, most CRMs provides search functions with filters that help you target the right prospects. With more company data you can advance these search filters to create a more targeted approach. The more filters you can use, the better you can target prospects matching your ideal target persona.

How PredictLeads data can be used as filters for Targeting:

Technologies used in the company can help you identify prospects that are more likely to have an interest in buying your product. For example, if you’re selling a Salesforce extension product you’d want to target companies that are actually using Salesforce.
Companies Hiring for X category, if you’re selling a Marketing automation product you can filter companies hiring for Marketing category as they’re more likely to have a need for your product.

These are just a few examples on how company intelligence data can be integrated into your CRM or other sales enablement tools, and I’m sure there are hundreds more creative ways. One thing is for certain though – sales teams will benefit from using this data, because it’ll be doing all the research for them. This means that they can focus on what brings them most value – selling.

Fanny

Hiring intent data during pandemic

May 28, 2020 / Roq X

PredictLeads took the data for 5000 US based companies from different sectors and aggregated hiring intent data for each of the sectors. Our goal was to review how hiring intent correlates with pandemic consequences.

US states started pandemic lockdowns on March 19th and by mid April 90% of US population were under some form of lockdown.

Below we share three industries and how they were affected by Covid19 during this period and after.

For the IT industry our data shows downward trajectory of active job openings started on March 25th. On this day 20,000 job openings were slashed from the IT industry.

They were further decreased by nearly 130,000 job openings till May 28th 2020.

March

US unemployment rate rose from 3.8% to 4.5% in March. During last week of March 47,000 jobs were cut per PredictLeads data. In March the total number of job openings in the IT industry decreased by 6.8%.

April

US unemployment further rose in April to a record high of 14.4% during which 70,000 additional job openings were delisted in the IT industry alone – a staggering 12.8% decrease.

May

Data shows 51,000 job openings were removed in May (1st-28th). If there would be linear correlation between job listings and unemployment rate, this would suggest unemployment rate will further increase to ~21% by the end of Month of May. Up till now this means a 10.1% decrease in listed job openings.

Information Technology – eg. software & services, computer hardware, IT services …

Similar trends are seen for the Consumer Discretionary and Industrials industries as seen from below two graphs.

Consumer Discretionary – non essential goods eg. leisure products, entertainment, sporting, restaurants …

Industrials – finished products that can be used for construction and manufacturing industry

Covid19 definitely has a big impact on Hiring Intent.

If you’d like to get more detailed data on anything Hiring related please check out our APIs at https://docs.predictleads.com or contact us at founders@predictleads.com and we’ll be happy to help.

Roq

Introducing Key Customer Data

April 16, 2020 / Roq X

PredictLeads now provides four main datasets. News Events, Hiring Intent, Technologies and Key Customer data.

Key Customer data is our newest addition. As the name implies it provides key customer data for a given company. Eg. who are their customers, partners, sponsors, vendors, investors etc. We’re able to get this data by searching through news articles, blogs, case-studies pages, testimonials, “Our customer” sections and more.

We go as far as to use image recognition to connect a logo on a given website to a domain name it belongs to.

Key Customer data is served via clean APIs, with same structure as our other three endpoints. We follow best practices from jsonapi.org.

Besides using APIs data can also be provided via Flat Files or Webhooks.

If you’re interested in checking it out simply sign up here: https://predictleads.com/sign_up and you’ll find an API key in the settings.

Documentation for the Key Customer data can be found here: https://predictleads.com/docs/#connections

For more details please reach out to founders@predictleads.com and we’ll be happy to help!

Cheers, Roq

Finding Top performing Companies

October 1, 2018 / Roq X

We’re working with many data driven teams – VCs, Corporate VCs, sales professionals and innovation departments.

Our aim is to provide data that helps them:

enrich known companies -> to enable scoring and prioritization.
discover up and coming challengers -> to not miss out on new market trends.

For the #1: goal is to find data that is indicative of a company performance. Currently we track and provide data on Hiring Intent, Events from news, Business Connections and Technographics. Each dataset covers a wide variety of data points and is available via clean APIs – https://predictleads.com/docs/enrich.

For the #2: goal is to find new up and coming challengers. These are companies that we’re seeing for the first time having expansion signals. For example hiring via Hacker News, expanding Offices, receiving Awards, signing new high value clients … and many more. You can find them under Discover endpoints: https://predictleads.com/docs/#discover.

We’re working extensively on increasing our match rates and having historic capabilities. Currently we track over 17 million companies and have performance data from 2015 onwards.

Often our clients try to find indicators of how well a company will be doing in the future. This is no easy task. One needs to first have accurate and complete data and secondly enough historic data points to make any kind of projections. The game is especially patience ridden for data driven VCs and CVCs. Startups easily need 5+ years to become successful and/or make an exit. So this is the timeframe data driven companies are bound to – to validate their prediction models. Which is quite a long wait time to train the models and iterate. Now one could train the models on past company trajectories and past exists. But often not all data points are available to do that.

So it is a long haul game we’re playing here. And the name of the game is patience. But since history has proved time and again that subjects with more knowledge, data and insight perform better than those with less we’re confident the results will be worth the efforts we’re putting in now.

If you’re interested into how we could provide value to your organization please contact us via one of the contact forms here https://predictleads.com.

Looking forward! Roq