Navigating the sales landscape with data isn’t just about collecting information – Itâs about turning it into actionable insights. This is exactly what Blueprint has mastered using PredictLeads.
đ€Letâs dive into how they do it. đ€
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 whatâs 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: âItâs not about having more data, but about having the right data that you can actually use.â This is where PredictLeads shines, offering depth with actionable insights.
Key Stats and Strategic Decisions
With PredictLeads, Blueprint isnât just collecting data -theyâre strategically deploying it.
Hereâs 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
Blueprintâs partnership with PredictLeads goes beyond data. Itâs about continuous support and collaboration, which Crawford describes as unparalleled. âPredictLeads always finds a way to make it happen,â 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 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. CRMâs and sales platforms provide a lot of insights into a prospect but these are often irrelevant or out of date.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 doesnât have the capability to drill down enough or overlap the insights.
Thatâs 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 itâs 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, itâs 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
âHi John, Iâm reaching out because ⊠um ⊠because âŠâ. 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 itâs 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.
PredictLeads took the data for 5000 US based companies from different sectors and aggregated hiring intent data for each of the sectors. Our goal was to review how hiring intent correlates with pandemic consequences.
US states started pandemic lockdowns on March 19th and by mid April 90% of US population were under some form of lockdown.
Below we share three industries and how they were affected by Covid19 during this period and after.
For the IT industry our data shows downward trajectory of active job openings started on March 25th. On this day 20,000 job openings were slashed from the IT industry.
They were further decreased by nearly 130,000 job openings till May 28th 2020.
March
US unemployment rate rose from 3.8% to 4.5% in March. During last week of March 47,000 jobs were cut per PredictLeads data. In March the total number of job openings in the IT industry decreased by 6.8%.
April
US unemployment further rose in April to a record high of 14.4% during which 70,000 additional job openings were delisted in the IT industry alone – a staggering 12.8% decrease.
May
Data shows 51,000 job openings were removed in May (1st-28th). If there would be linear correlation between job listings and unemployment rate, this would suggest unemployment rate will further increase to ~21% by the end of Month of May. Up till now this means a 10.1% decrease in listed job openings.
Information Technology – eg. software & services, computer hardware, IT services …
Similar trends are seen for the Consumer Discretionary and Industrials industries as seen from below two graphs.
Consumer Discretionary – non essential goods eg. leisure products, entertainment, sporting, restaurants …Industrials – finished products that can be used for construction and manufacturing industry
Covid19 definitely has a big impact on Hiring Intent.
If you’d like to get more detailed data on anything Hiring related please check out our APIs at https://docs.predictleads.com or contact us at founders@predictleads.com and we’ll be happy to help.
