Navigating the sales landscape with data isn’t just about collecting information – It’s about turning it into actionable insights. This is exactly what Blueprint has mastered using PredictLeads.
🤘Let’s dive into how they do it. 🤘
Data at Work: Real Insights, Real Growth
Blueprint uses PredictLeads to perform deep technographic scoring, analyzing data on 500 new technologies each week. This isn’t just about knowing what’s out there -> it’s about predicting market trends and identifying emerging competitors, providing a clear advantage in crafting timely and relevant sales pitches.
Jordan Crawford, the founder of Blueprint, puts it simply: “It’s not about having more data, but about having the right data that you can actually use.” This is where PredictLeads shines, offering depth with actionable insights.
Key Stats and Strategic Decisions
With PredictLeads, Blueprint isn’t just collecting data -they’re strategically deploying it.
Here’s how:
Job Openings Data: By analyzing the hiring trends of potential clients, Blueprint can pinpoint when companies are expanding and tailor their pitches to meet these growth phases.
Technology Adoptions: Tracking 636 million technology adoptions helps Blueprint stay ahead, suggesting when companies are likely to need their cutting-edge solutions.
A Relationship Built on Success
Blueprint’s partnership with PredictLeads goes beyond data. It’s about continuous support and collaboration, which Crawford describes as unparalleled. “PredictLeads always finds a way to make it happen,” he says, emphasizing the personalized support that helps Blueprint leverage data effectively.
For those eager to dive deeper into this use-case, you can check it out here.
If you have any questions, please don’t hesitate to reach out to us at: info@predictleads.com
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 CRM’s and sales platforms provide a lot of insights into a prospect but these are often irrelevant or out of date.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.
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.
