How AI Agents Are Transforming B2B Prospecting and How PredictLeads Steps In

In the last 18 months, AI agents have gone from novel prototypes to embedded tools reshaping how teams operate. From automating lead qualification to writing personalized outreach and prioritizing accounts. So we entered an era where AI-powered workflows are no longer futuristic but they’re being built every day by forward-thinking teams.

But there’s a catch: even the smartest agents are only as effective as the data you feed them… and this is where PredictLeads comes in. 💪

What Is PredictLeads?

PredictLeads is a data provider that helps go-to-market (GTM), sales, marketing, and investment teams detect buying signals, technographic data, and growth indicators across 92M+ companies globally.

Unlike traditional data vendors that rely on static firmographics, PredictLeads provides real-time events. Our infrastructure captures:

  •  📌 Job openings (e.g., a company hiring 8+ marketers)
  • 📈 Funding rounds (e.g., $15M Series A just announced)
  • 🤝 Partnership announcements from news sources
  • 🧠 Technology adoption (e.g., company started using HubSpot, Intercom, or Snowflake)
  • 🔄 Website evolution (tracking when companies update key web pages or product language)
  • And more 🤯

Rather than manually building lists, users plug into our API and webhook system to enrich, monitor, and score leads based on real-world behavior.

Why AI Agents Need Event-Based Company Data

Here’s a truth few people mention: most AI agents today are bottlenecked by poor context.

Whether you’re using LangChain, OpenAgents, AutoGPT, or custom tools in Pipedream, n8n or Zapier, these agents often rely on CSV files, firmographic filters, or outdated CRMs.

But what if you could give your AI agent real-time awareness of companies across the globe? With PredictLeads, you can.

🧠 Example: An AI Agent for SDR Teams

Imagine an AI agent that:

  1. Monitors a list of 10,000 target accounts.
  2. Detects when any of them hire a “Sales Enablement Manager” or start using “Outreach.io”.
  3. Automatically generates a personalized intro email (mentioning the hiring signal and tech stack).
  4. Pushes the draft to your SDR’s inbox or LinkedIn queue.

This isn’t a vision but something that is already being built using PredictLeads + AI.

Top Use Cases for PredictLeads in AI WorkflowsHow Developers Are Plugging Into PredictLeads

Use CaseDatasetAI Output
Outbound AutomationJob Openings + TechnologiesPersonalized emails or LinkedIn messages
Account ScoringNews Events + FundingDynamic ICP fit scoring
CRM EnrichmentCompanies + Website EvolutionAuto-filled account descriptions & tags
Market MappingConnections + Tech DetectionsRelationship graphs and industry maps
Timing SignalsJob ads + Product LaunchesPredictive lead routing and prioritization

Our API-first architecture is designed for speed and scale:

  • JSON responses, simple endpoints
  • Daily updated datasets
  • Filter by job title, tech tag, domain, industry, revenue, geography, and more
  • Works inside Pipedream, n8n, Make.com, Zapier, Retool, Hex, or any data warehouse

With no login UI or bloated dashboards, you get direct access to raw signals – the way AI agents expect it.

Why This Matters in 2025

As AI agents become more autonomous, they need ongoing context. You wouldn’t send an SDR to a meeting blind. Why would your AI be any different?

Feeding agents with PredictLeads’ dynamic company signals ensures your GTM systems stay ahead of the curve –  proactively identifying shifts in buyer behavior before competitors do.

This will help you change the future from automating more tasks to making smarter decisions in real-time. And so that we are on the same page > that starts with better data.<

Final Thoughts

At PredictLeads, we believe the next wave of GTM efficiency will come from pairing autonomous agents with live market signals.

If you’re building AI tools that need to understand what companies are doing (not just who they are) we should talk.Get started with a free trial or speak with our team about your use case: https://predictleads.com

How 🟣PredictLeads + Pipedream🟢 Help Founders Score and Reach Out to Leads with Relevant, Timely Signals

Most companies already have a massive list of leads covering some tens of thousands of domains, contacts, or accounts collected from various sources. So sometimes – the problem isn’t finding leads – isknowing when and why to reach out. 

That’s where PredictLeads comes in 🥳

Our API lets you ping domains in your lead list and enrich each company with fresh, real-time signals like hiring activity, new partnership, funding rounds, or changes in their tech stack. These signals help you score leads and create meaningful, personalized outreach triggers so your sales team can contact prospects at the exact right moment. 

By integrating PredictLeads data with Pipedream, your engineering team can now build fully automated workflows that: 

  • Enrich leads as they come in
  • Automatically score and prioritize based on recent business events 
  • Trigger personalized email sequences or alerts to sales reps 
  • Do all this without costly manual data processing or building complex pipelines
PredictLeads logo above a headline asking 'What do you want to automate with PredictLeads?' followed by a subtext describing AI agent deployment with over 2,500 connected apps

Why This Matters 🤔

Many founders tell us: “We have a huge lead list, but our outreach is not working. We don t know who to call first or what message to send.” 

The truth is that generic outreach is too old or irrelevant and doing that leads to wasted time and budget. But if you can layer in contextual, timely data like “This company just raised $5M“, or “They started hiring SDRs last week” suddenly your outreach becomes relevant, compelling and timely.

How the PredictLeads + Pipedream Workflow Works

  1. Upload or connect your lead list of thousands of company domain names. 
  2. Use PredictLeads API via Pipedream to ping each domain and enrich it with signals such as recent funding, hiring, new partnerhips or tech adoption.
  3. Pipedream picks up this data and runs workflows to:
    • Score each lead based on your criteria
    • Create or update records in your CRM 
    • Send tailored outreach messages via email or LinkedIn 
    • Alert sales reps in Slack or other tools 
  4. Sales teams receive prioritized leads with a strong reason to reach out making outreach timely, efficient, and high impact.

Example Use Case: Outreach After Funding or Partnership & Hiring Events

Your company has a list of 30,000 leads collected from marketing and old data vendors but it’s unclear which leads are hot right now.

You set up PredictLeads API to check these domains daily and flag those who: 

  • Raised a funding round in the past month 
  • Recently hired sales or marketing roles 
  • Started using new technologies relevant to your product 
  • Formed a partnership with a F500 company (signaling buying power)

Whenever a lead matches your triggers, Pipedream runs your workflow scoring that lead higher, sending a personalized email sequence referencing their recent event, and notifying your sales team to act fast.

List of popular PredictLeads API actions with options to get technologies, look up companies by domain, retrieve companies by technology, and access news events by domain each with links to documentation and a 'Try It' button

Why Use PredictLeads + Pipedream Together?

  • Low cost & no heavy engineering to get automated
  • Real-time enrichment without building your own data pipelines. 
  • Personalize outreach at scale to reach to the right people with the right message at the right time. 
  • Create flexible workflows integrated with any CRM, marketing platform, or communication tool via Pipedream extensive connectors.

If you already have a lead database stop wondering who to call next, know when to call & get started with PredictLeads + Pipedream now, and unlock 100 free API credits to experiment.

PredictLeads and Pipedream logos above an illustration of two stylized hands forming a handshake, symbolizing integration and partnership between the platforms

The Great Gatsby Mystery: A 1920s-Inspired Team Building Experience

Last week, the PredictLeads changed Google chats and company data to glamour, secrets, and suspense. Our destination? A one-of-a-kind immersive mystery game set in the roaring 1920s.

Four PredictLeads team members dressed in 1920s Gatsby-themed attire smiling and posing after completing a mystery escape game at Enigmarium. They wear vintage-style hats and accessories, standing against a rustic, dimly lit background.

Dressed in our finest vintage attire, we joined forces (and in some cases, formed rivalries) to solve a high-stakes Gatsby-themed that brought out the detective (and the actor) in all of us.

Reimagining Team Bonding in the Style of The Great Gatsby

As part of our ongoing commitment to fostering strong team culture, we wanted to do something more and were looking for an experience that was collaborative, interactive, and completely unexpected.

Each of us was assigned a character – from wealthy elites and ambitious entrepreneurs to struggling artists, cunning politicians, and even a few shady underworld figures. With roles in hand and costumes to match, we were immersed in a glamorous, high-stakes environment filled with intrigue, hidden agendas, and unexpected twists.

A Night of Suspicion, Alliances, and Twists

The game kicked off with whispered theories and hushed conversations. Who could we trust? Who had something to hide? Working in small groups, we pieced together clues, questioned timelines, and uncovered motives.

And just when we thought we had it figured out – boom. A final twist turned everything upside down. We won’t spoil the ending, but let’s just say that more than one person is still debating whether the artist was secretly behind it all.

Dressing the Part: Vintage Glam Meets Office Culture

What made the evening even more memorable was the team’s commitment to the theme. Feathers, fedoras, flapper dresses, suspenders, red lips, and sparkling accessories transformed our crew into characters straight out of a F. Scott Fitzgerald novel.

Three PredictLeads team members in elegant 1920s Gatsby-style costumes clinking champagne glasses during a themed mystery event. They are wearing vintage dresses, pearls, feathers, and headpieces, smiling and engaged in lively conversation.

For many of us, it was the first time we’d seen each other outside our usual roles. People embraced their alter egos, delivered dramatic monologues, and even discovered unexpected talents for improvisation and persuasion.

Unique Team Events Matter

At PredictLeads, we know that team-building activities aren’t just about having fun, but they’re about building trust, encouraging creative thinking, and strengthening our collaboration across roles and departments.

This 1920s mystery night reminded us that behind every line of code and every data insight is a team of curious, resourceful, and creative people. When we step outside our usual routines (even just for a night) we return more connected, more energized, and more in sync.

Planning a Team Building Event? Try a Mystery Game

If your company is looking for a unique corporate event idea, we can’t recommend immersive mystery games highly enough. They combine teamwork, communication, and problem-solving > all wrapped in an experience that people won’t forget.

Smiling man and woman in vintage 1920s-style attire at a themed event, posing confidently in front of a gold column. The woman wears a flapper-style dress with pearls and a headband, while the man is dressed in a grey blazer, light blue shirt, and flat cap.

We came for the mystery. We left with stronger connections, unforgettable memories, and a renewed appreciation for the people behind the PredictLeads brand.

Until next time,
The PredictLeads Team 💜

Using PredictLeads + Polytomic to Power GTM Execution (in HubSpot and Salesforce)

Modern go-to-market teams rely on timely data to prioritize accounts, launch targeted campaigns, and coordinate sales and marketing outreach. Yet too often, valuable buying signals get buried in spreadsheets or trapped in data warehouses out of reach for the teams who need them most.

That’s why we’re excited to share how teams can now use Polytomic to ingest PredictLeads data and sync it directly into CRMs like HubSpot and Salesforce which enables faster, more data-driven GTM execution.

Why is this worth checking out? 

PredictLeads provides structured datasets that reveal what companies are doing today and not just who they are. One of the most actionable sources is the Jobs dataset, which includes job openings published by companies across regions, industries, and roles.

This data becomes even more valuable when combined with Polytomic’s no-code integration and sync capabilities. Companies can now ingest and filter PredictLeads datasets inside Polytomic and push enriched company profiles directly into downstream systems such as Salesforce or HubSpot.

The result? GTM teams can identify the right accounts earlier and take action faster + without waiting for engineering teams to build pipelines or sync logic (read – lower cost overall).

Some Examples

Below are specific ways companies are already leveraging PredictLeads + Polytomic to accelerate sales and marketing efforts:

1. Identify Companies Expanding Their Marketing Teams

A B2B marketing automation company can use PredictLeads to track companies hiring for roles like “Head of Demand Generation” or “Growth Marketing Manager” across North America.

Using Polytomic, they can filter the dataset to include only companies hiring in target regions or industries and sync those records to Salesforce with enriched fields like job title, location, and department.

This gives SDRs a live list of companies expanding marketing efforts which often leads to indicators of new technology investment.

2. Prioritize Sales Outreach Based on Engineering Hires

A DevOps platform provider can monitor companies hiring for “DevOps Engineers” or “Platform Engineers.”

When PredictLeads detects these job openings, Polytomic can automatically add these companies to a HubSpot static list, assign them to specific reps, or trigger sequences.

This ensures the sales team is focusing on companies building out the exact functions their product supports.

3. Regional Expansion Tracking

A SaaS company entering the DACH market can use PredictLeads to identify existing accounts or net-new prospects that are hiring in Germany, Austria, or Switzerland & even if the companies are headquartered elsewhere.

Polytomic enables dynamic filtering by job location and continuous syncing of these expansion signals into the CRM.

This allows the GTM team to prioritize outreach to accounts actively expanding into target regions.

4. Surface High-Intent Accounts in Product Categories

A cybersecurity firm can monitor job descriptions for keywords like “SOC2,” “Zero Trust,” or “compliance.”

With PredictLeads, these keyword-based filters can be applied at the job posting level. Polytomic can then transform this insight into CRM data fields and automatically assign these companies to tailored marketing or outbound workflows.

How It Works

  1. Ingest PredictLeads data into Polytomic: Use Polytomic’s UI or API to import PredictLeads datasets, including Jobs, Technologies, News Events, or other signals.
  2. Filter and enrich: Apply filters based on department, location, job title, or keywords. Combine with internal firmographic or historical data.
  3. Sync to your CRM or tool stack: Polytomic allows you to push data to HubSpot, Salesforce, Google Sheets, and many other tools (no code required.)
  4. Activate GTM workflows: Enable automated lead scoring, list assignment, alerts, or outbound triggers based on fresh buying signals.

Bottom Line?

This integration bridges the gap between rich external data and actionable CRM workflows. With PredictLeads and Polytomic, go-to-market teams can:

  • Shorten the time from signal to action
  • Prioritize accounts based on real-time hiring intent
  • Reduce reliance on internal engineering resources
  • Improve campaign targeting and SDR productivity

If your team is already using PredictLeads (or considering it) and wants to enable more automated, intelligent GTM workflows, integrating via Polytomic is a fast and scalable option.

To learn more about setting up the integration, reach out to our team at PredictLeads or visit polytomic.com.

PredictLeads Hackathon: Creating Space for Innovation

At PredictLeads, we spend most of our days helping others find the right companies to connect with through data, signals, and integrations. But last week, we took a break from business as usual to focus on something a little different.

We packed our laptops (and swimsuits) and headed to Rezidenca Ortus in Ankaran, Slovenia for a 3-day offsite. The agenda? A mix of team building and a focused hackathon – designed not just to build features, but to challenge how we think, collaborate, and create.

Why a Hackathon?

The goal wasn’t just to ship code. It was to pause, zoom out, and give space to ideas that don’t fit into normal sprint cycles. Some projects were technical experiments, others aimed to improve our workflows, and many explored new ways we could bring more value to customers.

But beneath it all, there was a shared purpose:

  • To ask ourselves: What could PredictLeads look like in 6–12 months if we reimagined parts of our product, infrastructure, and sales approach from scratch?
  • To surface real problems – whether hidden in data pipelines, user flows, or feedback loops and prototype better ways forward.
  • To give every team member the freedom to explore, pitch, and test ideas, regardless of their role or domain.

🌿Nature, Focus & Team🌿

We started with a team day at Škocjanski Zatok, a peaceful nature reserve not far from the hotel. It gave us the mental reset we needed to approach the next two days with intention and clarity.

From Thursday morning onward, the rooms filled with quiet intensity – whiteboards scribbled with flowcharts, spontaneous stand-ups with a sea view, design mockups being debated over coffee, and engineers debugging in pairs. In between: football matches, sauna sessions, late-night brainstorms, and lots of laughter.

Building Together

Not every project will be production-ready tomorrow. But that wasn’t the point. The point was to tap into the full potential of our team and to explore directions that could shape PredictLeads in the quarters ahead.

We’re already taking some of these explorations further, integrating them into our roadmap. Others are helping us rethink how we prioritize, design, and ship.

Above all, the hackathon reminded us that growth isn’t just about velocity but about creating space for good thinking to happen. And sometimes, the best way to do that… is to leave the office, go offline, and just build together.

If you’re curious about where we’re headed next, check out our datasets, reach out, or simply stay tuned – we’re just getting started.

US-China Tariffs and Shopify Adoption: Signals to Watch 👀

Trade tensions between the US and China are once again front and center — and this time, the numbers are steep.

  • China’s finance ministry has announced an 84% tariff on all goods imported from the US.
  • In response, the US has implemented a 104% tariff on all Chinese goods, which officially took effect today, Wednesday, April 9.

While it remains to be seen whether a last-minute deal will be struck, if these tariffs go into effect as planned, they are expected to introduce significant friction into global ecommerce, logistics, and retail operations.

At PredictLeads, we’re looking into how this situation might influence two key areas where strategic shifts often show up first:

  • Job openings across ecommerce and logistics
  • Technology adoption patterns, particularly around Shopify

Shopify: A platform exposed to global flows

Shopify plays a central role in enabling international ecommerce expansion. It’s widely used by brands that rely on cross-border fulfillment and Chinese manufacturing, making it particularly exposed to the effects of rising tariffs.

If the new trade restrictions take hold:

  • Some sellers may pause or delay global expansion efforts.
  • Others might shift their infrastructure strategy toward more localized platforms or hybrid solutions.
  • We may see slowed adoption of Shopify among brands operating from or targeting heavily affected markets.

Together with our partners in the market intelligence space, we’re keeping a close eye on the data — particularly around Shopify adoption trends and ecommerce tech stack changes — to better understand how and where these shifts might emerge.

It’s still early, but this is the moment to start watching.

Hiring signals: A directional early warning

Job data has historically been one of the earliest and most reliable indicators of how companies react to market disruption.

Over the next several weeks, we’ll be tracking:

  • New job postings that mention Shopify, global logistics, or cross-border ecommerce
  • Changes in hiring behavior tied to international expansion roles
  • Increased focus on domestic operations, regional warehousing and job creations, and supply chain resilience

These subtle shifts in hiring priorities can offer a first glimpse into how companies are adjusting their ecommerce strategies in response to the tariffs.

For market intelligence teams: where to focus

Whether you’re analyzing ecommerce growth, tracking tech adoption, or assessing exposure to global supply chain risk, now is the time to monitor alternative data sources more closely.

We recommend focusing on:

  • Tech stack detections — to identify the adoption slowdown at platforms like Shopify
  • Hiring data — to spot where expansion plans are being paused or redirected
  • Regional trends — to see whether companies begin shifting focus toward LATAM, Southeast Asia, or domestic-only models

These early indicators can inform broader trend analysis well before public earnings or analyst reports reveal the full picture.

Stay ahead of the shift

As of April 9, the tariffs are now in effect — and unless there’s a breakthrough soon, the ripple effects across global trade could intensify.

If you’re preparing internal research, building trend reports, or want a deeper look into Shopify adoption and ecommerce hiring trends in this context, feel free to reach out. We’re happy to share additional cuts of the data or collaborate on deeper analysis.

This is a developing story, and the signals are just starting to surface.

Sweet Moments with PredictLeads: A Teambuilding Day at Radolška Čokolada 🍫💜🍫

Working remotely has its perks – flexibility, focus time, and the ability to work from just about anywhere. But every now and then, it’s refreshing to step away from screens and come together in person. That’s exactly what we did this last Thursday at PredictLeads.

For our monthly team meetup, we traded keyboards for cocoa beans and visited Radolška Čokolada, a charming, family-run chocolate shop nestled in the heart of Radovljica. Surrounded by the rich aroma of chocolate and the buzz of creativity, we dove into the delicious world of sweets.

Our hosts welcomed us with a behind-the-scenes look at how their handcrafted creations are made—from tempering and molding to the final artistic touches.

Along the way, we picked up some surprising trivia (did you know that properly tempered chocolate makes a satisfying snap when broken🫰? If it crumbles or bends, something’s gone awry!).

But the real fun began when it was our turn to get hands-on. Aprons on, gloves ready—we rolled up our sleeves and created our own chocolate masterpieces. There were laughs, a bit of friendly competition, and plenty of taste-testing along the way.

Aside from the chocolate, this was a chance to reconnect, recharge, and strengthen the bonds that make our team tick. Whether we were decorating pralines or just sharing a laugh, the day reminded us how important it is to take time to celebrate the people behind the work.

Until the next meetup – sweet memories like this one will keep us smiling. 💜🍫

How PitchBreeze is Changing the Game in Sales Outreach – An Insider’s Perspective

Sales is a game of timing, relevance, and persistence. But for most sales teams, that means endless hours of research, tracking key events, and hoping to catch prospects at the right moment. What if there were a better way? Roman, co-founder of PitchBreeze, sat down with us to share his journey, challenges, and how PredictLeads data is helping redefine sales intelligence.

From Frustration to Innovation: The Birth of PitchBreeze

Before starting PitchBreeze, Roman and his team faced an all-too-common sales struggle: it took six years to close 19 out of their top 20 target accounts. Why? Because success required three key elements – right person, right time, right message – but achieving that consistently was painfully slow. Hours were spent monitoring key events and researching opportunities. This frustration sparked the idea: there must be a way to automate and optimize this process.

PitchBreeze started as an ambitious project: fully autonomous AI-driven outreach. However, the reality of market feedback forced a pivot. Roman recalls, “Facing the fact that we must pivot from our original idea of a fully autonomous AI outreach was really hard. But having unwavering support from my co-founder and family brought me back.” Instead of automating everything, the team focused on curating high-quality sales signals – removing noise and ensuring sales reps could act on reliable insights.

Finding the A-Ha Moment: The Power of High-Quality Data

One of the biggest challenges in sales intelligence is filtering through the noise. Many tools flood sales teams with data, but few help prioritize what actually matters. Roman shares a simple but effective mindset shift: “Instead of collecting as much information as possible, we focused on curating it the right way.”

PredictLeads played a key role in this evolution. By integrating our enriched sales signals, PitchBreeze improved its ability to surface relevant sales triggers. Roman noted, “PredictLeads data helped us cover gaps in sales research and find hidden insights in a structured way. Monitoring companies became so much easier, and having reliable sources improved credibility too.”

This shift wasn’t just about improving automation – it was about helping sales teams become more strategic and efficient.

Overcoming Resistance: The Battle Against “Sales Spam”

Not everyone is convinced AI belongs in sales. Roman recalls an early conversation with a Series B startup CEO who bluntly stated, “Templated outreach is like Voldemort – don’t even mention it by name. We do everything manually.” This pushback was a wake-up call. Many sales leaders still resist automation, fearing it will lead to impersonal, spammy outreach.

But here’s the irony: sales teams struggle to hit quotas, pipelines are dry, and outreach is often ineffective. The challenge isn’t automation – it’s bad automation. Instead of flooding inboxes, PitchBreeze’s approach prioritizes relevance and timing. As Roman puts it, “We focus on helping sales reps bring value instead of bombarding prospects with irrelevant cold calls and emails.”

The Future of Sales: Where AI and Strategy Meet

So, what’s next? Roman acknowledges the uphill battle: “The sales world is activity-driven >>make X calls, send Y emails<< but this philosophy is broken. AI spam is making it worse, and sales leaders are beginning to see the cracks.”

He believes the future belongs to companies that strike the right balance – leveraging AI to enhance, not replace, human connection. Looking ahead, Roman hopes PitchBreeze will be remembered as the company that “got it right” – helping sales teams engage meaningfully instead of drowning prospects in generic outreach.

As for what he wishes he’d known sooner? “Focus, focus, focus. Everyone says it’s the best startup survival recipe, but it’s easier said than done with all the feedback from the market.” No matter what happens, he’s proud of one thing: “My daughter seeing me as an entrepreneur – the first one in three generations.” 💜

Bringing It All Together

Sales teams today are navigating an increasingly complex landscape. With AI-powered sales intelligence tools like PitchBreeze, powered by high-quality data from PredictLeads, they have a better chance of succeeding without burning out. The key? Moving beyond raw data collection and instead leveraging curated insights to engage the right people at the right time.

The sales world is evolving. The question is – will your team evolve with it?

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

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

Big News: PredictLeads Is Now on Databar!

We’re excited to share some great news: PredictLeads’ data is now available on Databar, making it easier than ever to access the insights you need to stay ahead.

If you’ve ever felt stuck trying to find the right companies to target or wasted hours on manual research, this partnership is here to make your life a whole lot easier. Now, sales pros, marketers, and investors can unlock real-time company data and act on it faster than ever before.

How You Can Use PredictLeads Data on Databar

Here’s how different teams can use PredictLeads data to hit their goals:

For Sales Teams

  • Identify hot prospects: Growth signals and funding events make it easy to find companies ready to buy.
  • Personalize your outreach: Job openings, partnerships, or new tech adoption -> use these insights to craft outreach that actually resonates.
  • Save time: Prequalify leads instantly so you can focus on closing deals, not chasing dead ends.

For Marketing Teams

  • Create campaigns that click: Target companies based on their current activities -> whether they’re expanding, hiring, or adopting new tools.
  • Spot trends: Understand technology adoption patterns or find the right audience for your campaigns.
  • Get more done: Use PredictLeads’ structured data to cut through the noise and focus on high-value opportunities.

For Investors and Analysts

  • Spot the next big thing: Track early-stage startups or high-growth companies before they hit everyone else’s radar.
  • Analyze trends: See how industries are shifting, from technology adoption to funding patterns.
  • Make faster decisions: Leverage real-time insights without wading through endless spreadsheets.

For Strategy and Research Teams

  • Map relationships: Discover supply chain connections or partnerships to find opportunities others miss.
  • Stay competitive: Keep tabs on competitors’ moves, from hiring sprees to new product launches.
  • Validate opportunities: Use data to assess market potential before committing resources.

Why It Matters

Today’s fast-moving markets demand data that’s easy to access and even easier to act on. That’s exactly what you get with PredictLeads on Databar:

  • Quick insights: No more wasted time on manual research.
  • Targeted data: Get the information you need, when you need it.
  • Smarter decisions: Focus on results, not guesswork.

Whether you’re scaling sales efforts, launching campaigns, or scouting your next investment, this partnership makes it simpler to move from insights to action.

How to Get Started

  1. Head to Databar’s catalog and find the PredictLeads API.
  2. Choose your data – growth signals, job postings, tech adoption, or supply chain insights.
  3. Apply filters like industry, size, region…
  4. Run your query and watch your data come to life.

From there, integrate it with your CRM, download the results, or share it with your team.

Why PredictLeads x Databar?

This partnership is designed to bring the best of both worlds:

  • PredictLeads’ powerful datasets, covering millions of companies worldwide.
  • Databar’s user-friendly platform, which makes working with data feel effortless.

If you’re ready to take your strategy to the next level, now’s the time to explore what PredictLeads on Databar can do for you.

Visit predictleads.com and databar.ai to learn more.

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