Category: Partnership

What Summer BBQs Can Teach Us About Reading B2B Buying Signals

July 15, 2025 /

It’s a Saturday in mid-July and you’ve been invited to four different BBQs.

You’re walking through a quiet suburban neighborhood, sunglasses on, sandals flapping. The sun is relentless, the scent of grilled meat hangs in the air… and you’re on a mission. 🥩🧑‍🍳

The first house?
You catch a whiff of burnt tofu and hear someone ask if the kombucha is homemade.

Hard pass.

You keep moving.

A few steps down, you hear music (real music) and spot a lineup of Ford Raptors and a 96 Chefy parked out front. There’s laughter behind a wooden fence, and you catch sight of a green ceramic grill puffing steady smoke, with a line forming around the buffet table.

You don’t need to ask for a menu.
You already know:

This is the one worth joining.

You skip the silent lawns and low-energy gatherings.
You read the signals.
You follow the smoke.
You choose wisely.

🎯 In B2B Sales and Investing, the Same Rules Apply

Some companies signal quality before you even step in the door.
Their websites, partners, and public presence give off subtle (and measurable) signs:

  • They showcase logos of brands they serve.
  • They mention integrations and partnerships.
  • They drop names in case studies and testimonials.

It’s all smoke! But in this case – it means something.

In B2B such smoke isn’t always obvious. That’s why we built the Connections Dataset at PredictLeads – to read the grill smoke signals at scale.

🔍 Why Logos Matter and Why They’re Hard to Track

To gain credibility, B2B startups often put logos of companies they work with directly on their websites. These show up under sections like:

  • “Our Customers”
  • “Trusted by”
  • “Partners”
  • “Who we work with”
  • Testimonials or Case Study pages

The challenge?
Most of these logos are not backlinked. There’s no easy text trail or hyperlink to follow. A Google search won’t help. Scraping doesn’t cut it.

So we built something smarter.

Logo Recognition Meets Entity Mapping

Our system uses image recognition to detect logos on company websites. Then we match those logos to verified domain names and legal entities.

This enables us to connect:

  • Which company is claiming a relationship
  • Who the other party is (vendor, partner, customer, etc.)
  • Where and how that connection is represented

We don’t just scan the homepage. We parse through case study sections, customer lists, footers, header navs, press pages (anywhere companies hint at collaboration).

Each relationship is then categorized:

  • “vendor” → “Company A is a vendor to Company B”
  • “partner” → “Company A collaborates with Company B”
  • “integration” → “Company A integrates with Company B”
  • “investor”, “published_in”, “parent”, “rebranding” (and more)

We even timestamp when we first and last saw the connection. That means you can prioritize based on recency and relationship type.

🧾 Example: Invoicy → Salesforce

Let’s say a small fintech startup called Invoicy includes a line on their “Customers” page that says:

“Trusted by finance teams at companies like Salesforce, Rippling, and Brex.”

There are no backlinks. Just static logos and a sentence tucked beneath a testimonial.

Our system scans the page, detects the Salesforce logo, maps it to the domain salesforce.com, and parses the surrounding text.

The language >“trusted by finance teams”< suggests that Invoicy is a vendor to Salesforce, likely providing tooling for invoicing, reconciliation, or internal financial workflows.

That gets recorded as:

  • category: “vendor”
  • source_url: the exact URL of the “Customers” page
  • first_seen_at: when the connection was first detected
  • last_seen_at: when it was last confirmed

For a company like Invoicy, being able to show they’re used by a giant like Salesforce is a huge trust signal and even more so when made searchable and machine-readable.

Now sales teams, investors, and analysts can factor that credibility directly into targeting models, scoring frameworks, or due diligence … without ever scraping a webpage by hand.

🔥 What This Means for You

For GTM teams:
 Use vendor and partner relationships to qualify and prioritize leads.
If your ICP already sells to Snowflake, Notion, or Google – that’s your BBQ. Bring your best pitch.

For investors:
 Track which startups are gaining traction with known buyers.
Logos and partnerships are sometimes more honest than press releases.

For growth teams:
 Score accounts based on who trusts them.
If they’ve passed another company’s procurement process, they’re likely enterprise-ready.

🛠️ The Grill is Hot so Start Reading the Signals!

You wouldn’t walk into a BBQ blind. You look for smoke, listen for music, and trust the signs.

The same goes for B2B:

Who they work with tells you who they are.

And PredictLeads helps you see that across millions of companies in real time.

Want a quick walkthrough or test run of the Connections Dataset?
Explore the PredictLeads API

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

July 2, 2025 /

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

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

June 13, 2025 /

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.

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

March 19, 2025 /

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?

Big News: PredictLeads Is Now on Databar!

January 30, 2025 /

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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