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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, affecting hiring signals in various sectors.

  • 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, influencing hiring signals in these industries.

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

  • Hiring signals 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, which also affects hiring signals for roles related to Shopify and ecommerce.

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 for new hiring signals.

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, often seen in hiring signals.

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 for new signals related to hiring.

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 due to new hiring signals
  • 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, signaling new hiring patterns.

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 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, with our team building event at Radolška Čokolada. This particular PredictLeads team building at Radolška Čokolada was highly anticipated.

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. The PredictLeads team building Radolška Čokolada experience was truly enlightening.

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. This was one of the most enjoyable PredictLeads team building activities we’ve had.

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. 💜🍫

Thank you,
PredictLeads Team

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?

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