Category: Competitive Intelligence (Page 2 of 2)

Hiring intent data during pandemic

May 28, 2020 /

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.

Roq

Introducing Key Customer Data

April 16, 2020 /

PredictLeads now provides four main datasets. News Events, Hiring Intent, Technologies and Key Customer data.

Key Customer data is our newest addition. As the name implies it provides key customer data for a given company. Eg. who are their customers, partners, sponsors, vendors, investors etc. We’re able to get this data by searching through news articles, blogs, case-studies pages, testimonials, “Our customer” sections and more.

We go as far as to use image recognition to connect a logo on a given website to a domain name it belongs to.

Key Customer data is served via clean APIs, with same structure as our other three endpoints. We follow best practices from jsonapi.org.

Besides using APIs data can also be provided via Flat Files or Webhooks.

If you’re interested in checking it out simply sign up here: https://predictleads.com/sign_up and you’ll find an API key in the settings.

Documentation for the Key Customer data can be found here: https://predictleads.com/docs/#connections

For more details please reach out to founders@predictleads.com and we’ll be happy to help!

Cheers, Roq

Finding Top performing Companies

October 1, 2018 /

We’re working with many data driven teams – VCs, Corporate VCs, sales professionals and innovation departments.

Our aim is to provide data that helps them:

  1. enrich known companies -> to enable scoring and prioritization.
  2. discover up and coming challengers -> to not miss out on new market trends.

For the #1: goal is to find data that is indicative of a company performance. Currently we track and provide data on Hiring Intent, Events from news, Business Connections and Technographics. Each dataset covers a wide variety of data points and is available via clean APIs – https://predictleads.com/docs/enrich.

For the #2: goal is to find new up and coming challengers. These are companies that we’re seeing for the first time having expansion signals. For example hiring via Hacker News, expanding Offices, receiving Awards, signing new high value clients … and many more. You can find them under Discover endpoints: https://predictleads.com/docs/#discover.

We’re working extensively on increasing our match rates and having historic capabilities. Currently we track over 17 million companies and have performance data from 2015 onwards.

Often our clients try to find indicators of how well a company will be doing in the future. This is no easy task. One needs to first have accurate and complete data and secondly enough historic data points to make any kind of projections. The game is especially patience ridden for data driven VCs and CVCs. Startups easily need 5+ years to become successful and/or make an exit. So this is the timeframe data driven companies are bound to – to validate their prediction models. Which is quite a long wait time to train the models and iterate. Now one could train the models on past company trajectories and past exists. But often not all data points are available to do that.

So it is a long haul game we’re playing here. And the name of the game is patience. But since history has proved time and again that subjects with more knowledge, data and insight perform better than those with less we’re confident the results will be worth the efforts we’re putting in now.

If you’re interested into how we could provide value to your organization please contact us via one of the contact forms here https://predictleads.com.

Looking forward! Roq

Newer posts »

© 2025 PredictLeads Blog

Theme by Anders Noren — Up ↑