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.
A HubSpot survey found that more than 40% of salespeople say prospecting is the most challenging part of the sales process and at least 50% of your prospects are not a good fit for what you sell. This is where data enrichment for sales prospects using PredictLeads can make all the difference. This is super frustrating!
*https://blog.hubspot.com/sales/sales-statistics
Outbound sales efforts are often tedious using up a lot of time and resources and often chasing the wrong types of prospects. CRM’s and sales platforms provide a lot of insights into a prospect but these are often irrelevant or out of date. The reason for this is that the data they utilize is not being updated often enough, only uses a couple of data sources or the platform doesn’t have the capability to drill down enough or overlap the insights.
That’s why data driven sales teams are turning to data to enrich companies and help them filter and prioritize leads. Not only do they continue to use platforms like Salesloft, Outreach.io, HubSpot, Clearbit etc but they are taking it a few steps further and enriching their prospects even more. This gives them competitive advantage which helps them to increase reply rates and meetings with prospects.
Identify companies hiring
Finding which companies are hiring is a great signal because it’s likely that they are investing in people and resources. Sales teams use hiring data in two ways. A) to find companies with the most live jobs regardless of the job type of job or b.) finding companies hiring for particular roles. In the second instance, companies hiring for marketing are more likely to buy marketing automation and companies hiring for accounting are more likely to buy financial software.
Identify companies hiring for C level executives
Finding companies who are hiring for C level executives means that sales teams are more than a few steps ahead. This is because when a director, manager or head of a department joins a company, it’s likely that they will implement new changes, evaluate tools and resources and be open to change. Sales teams who look for these signals early secure meetings and get ahead of the line before their competitors, making this tactic a no brainer.
Resonating with a prospect
“Hi John, I’m reaching out because … um … because …”. Sometimes finding a good prospect is easy but reaching out in a way that will grab the prospect’s attention is tiring, time consuming and frustrating. We all know that it’s important to resonate with a prospect so that they are more likely to open and read your email but finding that hook is like finding a needle in a haystack.
Data driven sales teams solve this by looking for newly available sales triggers like awards, new funding rounds, new partnerships, new integrations, hiring intent, companies they have in common with a prospect, latest acquisitions in their industry, new product offerings of their competitors etc. These are easy ways to create familiarity and show that you know something about their business.
Finding the Right Leads at Scale
Some sales reps cast their net too wide in an effort to attract as many prospects as possible and meet their quotas. Unfortunately, this often wastes time and creates low morale. Getting limited or no answers is frustrating and not a good feeling which ultimately reduces productivity.
To avoid this, it’s important to have the right data to quickly figure out which prospects to pursue. Having good data means a good lead list which means good quality emails, a high response rate and more meetings booked. More and more sales teams are using the help of growth experts or growth support teams to help them identify the right leads to keep on track. Growth teams then utilize data to gain sales triggers and build targeted lead lists which increases conversion rates.
PredictLeads data is one source of sales triggers, growth indicators and company intelligence which helps sales teams and sales platforms gain a competitive advantage. Datasets like Jobs, News Events, Technology, Key Customers/Connections, Products and Website Evolution are all being used to identify new opportunities and stay ahead of the game. These are available through API, Webhooks or Flat Files and can be accessed daily, weekly, monthly or quarterly.
Contact mateja@predictleads.com to dive deeper into more ways that company intelligence data can help enhance your use case.
Sales enablement platforms are only as powerful as the data that fuels them. The more context and insights you have on prospects, the better your chances of engaging the right buyers, at the right time, with the right message.
But here’s the challenge: most CRMs still rely heavily on static lead lists. Company name, contact info, and a few demographics are entered manually or pulled from third-party systems. That’s useful, but it’s not enough to win competitive B2B deals.
What separates good sales teams from great ones is company intelligence data — fresh, dynamic signals that reveal when a prospect is in buying mode, which technologies they use, and how their business is evolving.
Why Sales Enablement Platforms Need Enrichment
Modern sales enablement tools already cover a wide range of use cases — from client engagement and messaging to productivity workflows, lead scoring, and customer relationship management (CRM). But without enriched intelligence, they leave SDRs guessing.
Integrating real-time company data into these platforms transforms them into proactive sales engines, helping teams:
Personalize outreach with timely insights
Spot and act on sales triggers faster
Target accounts that fit their ICP with precision
Let’s break down how.
Personalized Outreach: Relevance That Resonates
Every SDR knows personalization is key. Yet most outreach still feels generic. Why? Because teams lack the depth of data needed to connect with prospects on a meaningful level.
How PredictLeads helps:
News Events: Alerts like “Company X receives Y award” or “Company Z expands into Europe” give SDRs instant conversation starters. Congratulate them, show awareness, and stand out.
Key Customer Data: Identify shared partners, vendors, or clients to build credibility and trust from the first touchpoint.
This is personalization powered by intelligence — not guesswork.
Sales Triggers: Spotting Buying Intent Early
A long list of leads is useless if none of them are ready to buy. Companies don’t purchase continuously; timing is everything. That’s where sales triggers come in.
Signals PredictLeads surfaces:
Signing new clients (expansion momentum)
Launching new products (budget reallocation)
Receiving fresh financing (capital to invest)
Rapid headcount growth (new tools needed)
New integrations (ecosystem alignment)
Facility expansions (scaling operations)
These triggers highlight when a company is in growth mode — and therefore more likely to invest. SDRs can focus energy where deals are most likely to close.
Targeting Leads: Going Beyond Firmographics
Most CRMs allow basic filtering by industry, location, or company size. Useful, but blunt. Company intelligence data takes targeting to the next level.
How PredictLeads data improves targeting:
Technology Stack Detection: Selling a Salesforce extension? Filter only for companies actually using Salesforce.
Hiring Signals: Pitching a marketing automation tool? Target companies currently hiring marketing roles — clear evidence of a growing need.
The result is a more surgical approach to building lead lists, ensuring SDRs spend time on accounts that actually match their ICP.
The Bottom Line
Static data can only take sales teams so far. To stand out in today’s crowded B2B landscape, sales enablement platforms must be powered by real-time company intelligence data.
With PredictLeads, SDRs no longer waste hours on research or cold leads. Instead, they get actionable insights, sharpen their targeting, and spend more time on what matters most — selling.
Because the best sales strategy isn’t just about more leads. It’s about the right leads, at the right time, with the right context.
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
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”
