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The Untold Story of Data Analytics in Boosting B2B Marketing

March 25, 2024 /

Data analytics B2B marketing PredictLeads is reshaping how companies engage customers in today’s digital landscape. With the rise of AI and big data, marketers no longer rely on guesswork — they leverage actionable insights from datasets like job openings to anticipate industry shifts, personalize campaigns, and drive higher engagement.

AI’s not just about making tasks easier – it’s about making marketing smarter!
Picture this: AI dives into job opening data and picks up on which industries are booming and what skills are in demand. This goldmine of info helps marketers craft campaigns that hit RIGHT WHERE THEY NEED TO.

The real magic of AI in marketing? Personalization. AI spots patterns in how users behave and what they like, so messages can be tailored just for them. No more spammy, one-size-fits-all ads. It’s all about sending the right message, to the right person, at the right time.

Predictive analytics is another ace up AI’s sleeve. By looking at trends, like which job sectors are heating up, AI can predict where the market’s headed. This means businesses can adjust their strategies on the fly, staying ahead of the curve instead of playing catch-up.

But, it’s not all smooth sailing. With great data comes great responsibility. Issues like data privacy and ethical AI use are “kinda” big. Plus, the success of AI-driven marketing hinges on the data’s quality.

In a nutshell, as AI tech evolves, its role in marketing only gets juicier. It’s all about digging into data-driven insights and riding the wave of personalized marketing. But, it’s crucial to play it smart and ethical. Get it right, and AI won’t just be a tool
>> it’ll be your competitive edge in nailing customer engagement.<<

At the World Economic Forum’s Growth Summit, economist Richard Baldwin made a great point: “AI won’t take your job IF YOU KNOW HOW TO USE IT.” Add some Good Data into the equation, and you’re golden. 🥇

Interested in seeing how PredictLeads’ Job Openings datasets can revolutionize your marketing and sales? We’d love to chat!

Reach out at info@predictleads.com for more info. 💜

PredictLeads job openings dataset for B2B marketing campaigns
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Use Data Enrichment to Filter and Prioritize Prospects

June 10, 2022 /

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.

          How PredictLeads Company Data powers modern Sales Intelligence & Data Enrichment
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          Company Intelligence Data in Your Sales Enablement Platform

          Case Study: InReach Ventures & PredictLeads

          October 12, 2021 /

          InReach Ventures uses technology to help scale venture capital. They make investments in early stage startups throughout Europe. They built their own proprietary software and developed a new model of investing. This helps them discover and invest in the most promising startups.

          There’s a few major data challenges VC’s often face. These include data quality and the time, effort, and cost it takes to acquire or crawl data.

          Here is a short interview with Ben Smith, the Co-Founder / Partner / CTO of InReach Ventures. It explains how PredictLeads company intelligence data helps InReach Ventures. This assists them in discovering new companies and tracking growth signals for companies of interest.

          How do you identify growing companies?

          “InReach combines data from lots of different data sources. Some of that is around signals on how a company is performing like PredictLeads data. This helps us to find startups from all over Europe. This data, along with other types, allows us to look at how companies are growing. We can see whether they’re growing their team, getting new customers, or forming new business connections. In addition, we see if they’re partnering with different companies. “

          PredictLeads
          Venture capital growth driven by PredictLeads data

          Are there any specifics on how PredictLeads data is being used?

          “With job postings in particular, outside the general idea that a company is growing positively, it gives us an idea whether there is real substance behind a company. Seeing that a company has a product and engineering DNA and are looking to invest more in it is a positive.”

          What challenges were you able to overcome with PredictLeads data?

          “It’s all about how best we leverage our own product and engineering resources. It involves the InReach team focusing on what we’re good at. Meanwhile, we work with partners that are better than us in certain areas. This is an important point of leverage.”

          Why did you decide to subscribe to PredictLeads data?

          “PredictLeads helped us by doing some of the work that we had always planned. However, we had never been able to prioritize it. They assist in finding news events around a particular company. Identifying company customers through logos/connections is really interesting for us. And, it’s something that takes significant time and effort to get right.”

          What’s your view on the VC industry using data and what are the biggest challenges on the horizon in the industry?

          “The value of data, machine learning, and a data-driven approach to capital is an ever-growing trend. The point of venture capital is to fund innovation. However, how much innovation is happening in venture capital in the past 10 years is very limited. I think there is a change now. Data and software are being seen as a way for venture firms to innovate their model.

          The issue that traditional VC firms first face is cultural. At their core, they are not a technology firm but a professional services organization. Where we think we have an advantage is that we started as a technology, product, and engineering organization. Thus, we take a very data-driven approach to venture capital. That’s where we think we will long term hold the advantage.

          We started doing this earlier. Traditional venture capital will start to utilize data over time, but they are not tech or engineering organizations at their core. Short term, data and tech will play a broader role. This occurs as the whole industry starts using them. It’s becoming more of a buzz as data demand increases.”

          What are some of the trends in Venture Capital?

          “My co-founder and Investment Partner Roberto laid out the data trend in VC well in his blog post: The Full Stack Venture Capitalist“

          How do you see PredictLeads to help you achieve your long term goals?

          “Two things PredictLeads does and will continue to do is help us discover that a startup exists in the first place. Then it tells us whether there’s something interesting happening that we might want to talk to them about.”

          PredictLeads’ Mission: Turning Data Into Growth
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          Company Intelligence Data in Your Sales Enablement Platform

          January 25, 2021 /

          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.

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          Hiring Intent Data During the Pandemic: What the Numbers Reveal

          May 28, 2020 /

          At PredictLeads, we analyzed hiring intent data for 5,000 US-based companies across multiple sectors to understand how the pandemic reshaped workforce demand. Our goal: to see how hiring intent correlated with the economic consequences of Covid-19.

          By March 19, 2020, the first US states had entered lockdown. Within a month, more than 90% of the US population was under some form of restriction. This unprecedented pause in business activity left a visible mark on job openings across industries.

          Below, we highlight how three sectors—Information Technology, Consumer Discretionary, and Industrials—were affected during this period.

          Information Technology: From Growth to Contraction

          Our hiring intent data shows a sharp decline in IT job openings starting March 25, 2020, when nearly 20,000 positions were slashed in a single day.

          • March: The US unemployment rate rose from 3.8% to 4.5%. In the IT sector, job openings fell by 6.8%, with 47,000 listings removed in the final week of the month alone.
          • April: Unemployment skyrocketed to 14.4%, coinciding with an additional 70,000 IT job openings withdrawn—a 12.8% monthly drop.
          • May: Another 51,000 openings disappeared between May 1–28. If job listings correlated directly with unemployment, this trend suggested a further rise to nearly 21% unemployment by month’s end.

          By late May, IT hiring intent had decreased by 10.1% compared to pre-lockdown levels.

          Industries included: software & services, computer hardware, IT services.

          Consumer Discretionary: Non-Essentials Hit Hard

          The Consumer Discretionary sector—covering leisure products, entertainment, restaurants, and non-essential retail—experienced similar declines.

          As lockdowns spread, demand for non-essential goods and services plummeted. Our hiring intent data showed clear contraction, with companies scaling back recruitment or freezing headcount entirely.

          Industrials: Construction & Manufacturing Slowdown

          The Industrials sector, encompassing companies producing finished goods for construction and manufacturing, also saw sharp drops in job listings.

          Factory closures, supply chain disruptions, and uncertainty around demand caused many businesses to reduce or suspend hiring, further compounding economic strain.

          Why Hiring Intent Data Matters

          The pandemic highlighted just how valuable hiring intent data can be in understanding broader market shifts:

          • Leading indicator of economic health: Job postings often decline before official unemployment numbers rise.
          • Sector-specific insights: Not all industries react equally—tracking hiring intent helps pinpoint where growth or contraction is happening first.
          • Strategic decisions: For sales, recruiting, and investment teams, knowing where companies are still hiring versus cutting back provides a competitive advantage.

          Conclusion

          Covid-19 created one of the fastest and deepest shocks to hiring intent data in modern history. IT, Consumer Discretionary, and Industrials all saw major declines as businesses adapted to uncertainty and lockdown measures.

          For companies, analysts, and investors, monitoring hiring intent signals provides a forward-looking view into market resilience—or vulnerability.

          👉 If you’d like to explore more detailed hiring datasets, check out our PredictLeads APIs or reach out at sales@predictleads.com

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