In an effort to improve your Quid analyses, we have exciting enhancements in our Companies dataset to share with you! We’ve added Revenue and Headcount data to our Companies Dataset, and that is significant in itself, but we’ve also made changes to enhance data quality. Let’s check it out!

Whether you’re identifying interesting market segments, shortlisting target companies or understanding the strategy of a competitor’s investment portfolio, the addition of Revenue and Headcount data now allows you to develop a more informed view. And then the way we’re sourcing our data adds a level of accuracy to it that will enhance your efforts.

Revenue & Headcount Data Enhancements

Previously, businesses had lots of options with Quid analyses. They could use Quid to:

  • Identify emerging, fast-growing industry segments
  • Uncover startups in a space
  • Define competitor investment footprints

And now, Revenue and Headcount Data will offer new, exceptional insight for any business. It will allow you to increase the depth of your analyses, including the ability to:

  • Further validate the growth of identified segments by evaluating which have the greatest revenue compared to the overall industry
  • Narrow your search to startups which have already achieved strong revenue numbers and necessitate a high number of employees
  • Use estimated revenue and headcount to gather additional intelligence on companies your competitors have invested in


And in any companies network you will be able to filter, color, and pivot the data using a series of attributes related to a company’s yearly revenue and headcount, answering questions such as:

  • Which market segments have the greatest annual revenue?
  • Which startups have already ramped up to require a high number of employees?
  • What is the revenue per employee for different companies?

Best of all – it’s really easy to filter this information out in your search. As you can see below, we’ve filtered for companies that include Revenue info, highlighting only those companies that do:


The intel provided about these companies is significant. We can see investments, top investors, IPOs, mergers and acquisitions and lots more as we dig into the details.

And we can further filter the search by company, to reveal information about a specific entity, as seen below:


We can see the business description, associated keywords (so we know if our search is relevant), as well as founding year, industry, estimated yearly revenue, lots of location info, and related companies. And this is just a snapshot, with even more available in its expanded view.

Capturing Competitor Intel

And if you already have a list of competitors and want to sort out if Quid provides revenue information for a specific company, it requires a quick and simple search to find out:

  1. Search for the company name in the Quid Companies dataset.
  2. Un-select companies that you are not interested in visualizing.
  3. Click Visualize, and open the network.
  4. If the information exists, it will populate in the side bar of the visualization.


All of those same options are available when searching by headcount as well. This allows you to work with data that’s most relevant to your intended search. It’s an instructive time-saver, for sure:

And what about the data quality? We have more to share there as well!

Data Quality & Disambiguation

Data quality is key to performing an accurate and actionable market intelligence search, of course. And we pride ourselves on the accuracy of our data – as we should: the Quid Companies Dataset sources from S&P Capital IQ and Crunchbase to maintain these high standards.

Previously, until April 2020, all fields for a company were sourced from the same data source using the following rules: If any company was found in both data sources, information from S&P Capital IQ was always chosen for all overlapping companies.

We’ve updated this for searches created in May 2020 forward.

To better utilize data captured from both sources and improve coverage and increase quality, we’ve implemented a set of smart rules to help us better define which provider to source data from for each company’s information. This will lead to more complete and accurate data for businesses to work with.

The following attributes are covered in this update:

  • Company’s HQ Location
  • Founding Year
  • Operating Status
  • Company Kind
  • Estimated Revenue
  • Estimated Headcount

Digging into The Details

If the data for an attribute is completely absent in one source but is available in the other source, the available data for that attribute will be used. Pretty straightforward.

But, when both data sources have information and it’s conflicting, there are specifically detailed smart rules that will be applied at the field level for each attribute listed above. A quick overview that does not capture every instance (and one that we’re happy to share with you, reach out!) follows: Quid will either prioritize data from the dataset that has a higher value; or will defer to the most granular information; or, will prioritize S&P Capital IQ data over Crunchbase, as relevant.

It’s a significant – and timely – update, as markets around the world are shifting daily.

To learn more about these new data capabilities and how to best navigate them to meet your specific research needs, email to schedule a demo!

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