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PredictLeads Selected for Startupbootcamp 2018 Top 10

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. 🚀

Leveraging Hiring Intent

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

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

Job Openings Dataset

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

8 Sales Triggers Stats That Will Make You a Believer

By now you have probably already heard of sales triggers or trigger event selling. Maybe you even went as far as setting up a Google Alerts system to track specific keywords or accounts. But do you actually use that information in conversations with your prospects or customers? As we’ve discovered from our interviews with customers and prospects the answer is “Probably not.”

In case you just need a little nudge, here are 8 stats that might help you take the next step .

But, before I get into details, let me tell you a story how InnoPath discovered the value of sales triggers by accident.

When InnoPath was just starting up, the founders were trying to match their algorithm with the right application. By talking with NEC, one of Japan’s then leading feature phone manufacturers, they found out  the corporation is concerned about costly device recalls on account of several firmware malfunctions and bugs. That made InnoPath founders realize they could leverage their algorithm to build a solution which uncovers hidden firmware bugs. Demo with NEC went great and InnoPath’s first deal was signed.

Now that InnoPath figured out who their ideal customers are, they set up a system that tracks keywords revolving around firmware bugs appearing in news articles or forums. In the next 3 months they closed a number of major handset manufacturers, such as Samsung and Sharp.

Eventually, InnoPath achieved over 90% market share in Japan. Deals were closed within months at high-margin prices and competition couldn’t come close.

An inspiring success story.

Now, without further ado, here are the stats:

  1. Prioritising your prospects by key trigger events lifts conversion rates. Companies where key trigger events occurred are 400% more likely to buy. (Source: B2BLeadBlog)
  2. Connecting with companies that have recently received funding is a great first step to sales triggers adoption. Those who recently experienced a financial event and can now afford your services, are now up to 8x more likely to buy. (Source: SHIFT! By Craig Ellias)
  3. Depending on industry and geography, the data suggests that a change in vendors is triggered by changing managers 28% of the time.  (Source: PersistIQ)
  4. Frustration with the existing vendor is one of the greatest motivators for change. Organizations recently dissatisfied with the status quo are up to 10x more likely to switch vendors. (Source: Craig Ellias)
  5. Always be on the lookout for trigger events at target accounts and start a conversation with them before anyone else. Sales reps have a 74% chance of closing the deal, if they engage a prospect first in a consultative manner. (Source: DestinationCRM)
  6. 70% of customers want to talk to sales during the early stages in the buying process: when they’re information-grazing, when they first learn what you can do and when they put you on the shortlist. (Source: ITSMA)
  7. You can close that event-triggered account, even though your solution wasn’t budgeted for at the beginning of the year. 80% of B2B purchases are unplanned and unbudgeted. (Source: DemandGen)
  8. Segment your accounts by trigger events to gain a better conversion rate. Event-triggered campaigns will see their messages receive, at minimum, 5x the response rate of non-targeted push messages. (Source: Gartner)

API for receiving fresh company events available

 

As Steli Efti would say, hello sales nation! 🙂

We’re proudly announcing that our API for receiving fresh categorised company events is now available!

To dig right in …  a company called Logicworks launched a new product. In this case our API would return you the following:

“labels”:”new-offering”, “organisation”:”Logicworks”, “subject”:”Cloud Security Automation Framework ”, “published_at”:”June 8, 2016”, “date”:”June 8, 2016”,  “url”:”http://www.logicworks.net/news/2016/logicworks-launches-cloud-security-automation-framework-aws”.

Another example … at Digital Ocean a leadership change has happened. Our API would return the name and position to which this person was appointed to.

“labels”:”leadership-change”, “organisation”:”Digital Ocean”, “person”:”Julia Austin”, “job-title”:”CTO”, “published_at”: “June 7, 2016”; “date”: “June 7, 2016”, “url”:”http://www.businesswire.com/news/home/20160607005536/en/DigitalOcean-Hires-Julia-Austin-CTO-Lead-Engineering”

iProspect received an award, our API system would give you information on the name of the received award:

“labels”:”award”, “organisation”:”iProspect”, “subject”:”Best use of data and analytics in real-time for a search campaign”, “published_at”: “June 2, 2016”; “date”: “June 2, 2016”, “url”:”http://www.indiantelevision.com/mam/marketing/mam/iprospect-earns-a-silver-medal-at-2016-ames-awards-160602″

Qadium just received funding, our API would also let you know which round they’re at and how much they have raised:

“labels”:”funding”, “organisation”:”Qadium”, “subject”:”Series A”, “amount”:”20,000,000″, “published_at”: “June 6, 2016”; “date”: “June 6, 2016”, “url”:”http://www.finsmes.com/2016/06/internet-sensing-company-qadium-closes-20m-series-a-funding.html”

There are a few more events like the ones above that we can bubble up for you such as: “expansion” and “partnership”.

We hope that with this kind of information you’ll be able to generate even more personalised products. If you’re interested in trying out our beta version, send us an email at roq@predictleads.com.

Happy selling! Roq

How to benefit from trigger events?

John Barrows (jbarrows.com) said recently in a SalesHacker conference that if there is one thing a sales rep needs to do when reaching out is to start each call by providing a reason for contact. They need to be relevant to open up a conversation with a prospect.

image

In this article we’ll share 6 examples on how a sales rep can create more relevant outbound emails when uncovering sales triggers. Sales triggers can be events such as leadership change, funding received, vendor changed, new technology introduced, new job opening, acquisition, award, etc.

1. Leadership changed

Whenever a prospect changes one of their executives these new appointed execs are more likely to introduce some changes to their current processes. This is a good time to follow up with them. Say you notice a target prospect has appointed new CTO called Ben. Your email could look something like:

Subject: How CTO’s can automate marketing efforts …

Ben,

congratulations on you new position. If you will be trying out some new technologies in the following weeks I’d love to show you a demo on how we can automate your marketing efforts #{insert your one line pitch}. Are you available this Th at 10am or 3pm for a 10 min Skype chat?

2. Funding received

If a company receives new round of financing or if they’ve succeeded with their crowdfunding campaign they should have some resources available. This again is a good time to check if your solution makes a cut.

Subject: Congratulations on new funding Alex

Alex,

I noticed you just closed another round of financing. Since our solution helps insurance companies such as yours reduce their risks #{insert your one line pitch} I thought we might add value to what you do.

Would you have 5 mins next week for a quick Skype chat?

3. New job opening

With job openings it depends on what you’re selling. Say you’re outsourcing iOS development and you notice a prospect’s company is hiring iOS devs. Knowing this allows you to send highly relevant email and have a better timing.

Subject: Want to outsource iOS development?

Mike,

saw you’re hiring iOS developers and since we outsource iOS development I said I’ll reach out to you.

Do you want to schedule a 5 min chat on Wed 9am or 3pm next week about what we can do for you?

4. New technology

Say the prospect just started using Marketo and your product is tightly connected with Marketo platform now is the perfect time to introduce your solution. If the prospect installed SugarCRM – and you offer an add-on for SugarCRM include that in an email. The same if they’ve put on Vimeo video – and you’re a video producing company.

If you’re able to differentiate which prospects are more likely to convert than the others based on the technologies they are using, you will find “new tech” alerts of high benefit.

You could usually send an email sth along the lines of:

Subject: We can help your leverage your Marketo system

Hey Michelle,

saw you guys started using Marketo. Our solution helps you analyse all the inbound leads automatically and filters out the false positives #{provide a reason how your solution helps them because of using this specific technology}.

Would you like to see a 5 min demo on Tu at 3pm next week?

5. Notable mention

Say you find an article in an online magazine (NYTimes, Medium, TechCrunch …) writing about your prospect. Notable mentions are not as significant as the previous examples but they are still better than just checking in or touching base.

Subject: TechCrunch’s article

Hey Josh,

Noticed you guys are getting some traction recently – saw you in TechCrunch article. We offer a tool that automates your social postings #{your one line pitch}. Would you like to join our webinar next Wed at 4pm on how to manage your social channels?

6. New product offered

You might find your prospect just launched new version of their product. You might offer an online customer support system you might write:

Subject: New product might deserve new online customer support system?

Hey Jeniffer,

saw JenniferCompany just introduced new product, cons on that! For new products to get good adoption it’s essential your customers know how to use it and where to find help if they don’t, right? We offer super intuitive customer support system #{your pitch}. Would you find 5 min on your calendar next week, say Th 9am for me to show you a quick demo?

image

Using triggers events to be relevant when reaching out increases engagement with your prospects and helps you form better relationships. Thus conversions and up-sells will go up.

When different triggers meet

It gets interesting if a company has changed their CMO, received funding and already introduced some new vendors – all in the previous 2 months.

Your perfect email now depends on what you’re selling. You need to assess your strengths and put forward the one that creates most conversions.

More on combining the triggers and using this to create emails in our next post.

Happy selling,

Roq, PredictLeads.com

Timing Your Sales Outreach for Maximum Impact

Craig Elias, in his book Shift!, breaks down the sales cycle into three phases:

  1. Status Quo – The prospect is satisfied with their current process, even if you see room for improvement.

  2. Window of Dissatisfaction – The prospect is unhappy with their solution but hasn’t started searching for alternatives.

  3. Searching Alternatives – The prospect is actively exploring new options.

Selling to a prospect in the Status Quo stage is the hardest. Only about 1% are likely to convert. Prospects in the Searching Alternatives stage are easier to engage, but competition is higher since they’re evaluating multiple solutions.

The best time to connect is during the Window of Dissatisfaction — when the prospect feels pain but hasn’t begun searching. This is where the first-mover advantage comes in. At PredictLeads, our goal is to help you detect when a prospect enters this phase. By spotting buying signals early, you can stay ahead of competitors and improve your win rates.

👉 Interested in seeing how it works? Request a demo of our product at info@predictleads.com.

Until next time!

Discover Sales Triggers That Drive Conversions

At PredictLeads, we go through millions of company websites and public sources to uncover signals that matter most for your business. These sales trigger events highlight when a prospect is more likely to buy or upgrade your service.

Examples of such events include:

  • Leadership changes

  • New funding rounds

  • Technology installations

  • New product launches

  • Notable PR mentions

  • Expansion into new markets

  • Job openings at key departments

 Why Sales Triggers Matter

With this information at hand, you can quickly filter the best 50–100 prospects out of thousands and contact them at exactly the right moment. No more guessing—just timely, relevant, and personalized outreach.

 The Technology Behind It

We combine the power of:

  • Machine learning

  • Information extraction

  • Natural language processing (NLP)

  • Text analysis

  • Stream mining

This enables us to detect buying signals with precision and deliver them to you in real time.

Join Our Early Customers

We’re currently working closely with our first customers to build a product that delivers true value. Want a test drive?

Shoot us an email at sales@predictleads.com and we’ll help you reach the right prospects, at the right time.

Keep up the good work—and happy selling!

PredictLeads’ Mission: Turning Data Into Growth

At PredictLeads, our mission is simple but powerful: help companies grow smarter with better data.

In today’s competitive world, information is everywhere. But not all information is useful. Businesses often waste time on outdated or irrelevant signals, chasing leads that never convert. PredictLeads exists to change that.

Why We Exist

We believe that sales and investment teams deserve access to real-time, actionable insights. Our mission is to make company intelligence accessible, reliable, and easy to use. By transforming millions of raw signals into clean datasets, we help teams cut through the noise and focus on opportunities that truly matter.

What We Do

PredictLeads scans the web to detect:

  • Job Openings – showing when companies are hiring, growing, or shifting focus.
  • News Events – revealing funding rounds, partnerships, acquisitions, and more.
  • Technology Detections – mapping which tools and platforms companies adopt.
  • Connections Data – uncovering real business relationships hidden in plain sight.
  • Website Evolution – tracking changes that indicate new strategies or launches.

With these datasets, sales teams book more meetings, investors spot market shifts, and businesses make faster, more confident decisions.

How We See the Future

Data isn’t just numbers on a screen. It’s the backbone of strategy, creativity, and growth. Our mission is to be the partner that empowers businesses to transform data into action. With the right insights, we believe companies can build stronger connections, scale faster, and unlock opportunities they might have missed.

At PredictLeads, we see data as the fuel for growth. And our mission is to make sure you never run out of it.

📩 Interested in learning more? Reach out to us at info@predictleads.com

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