What is financial intent data?

We’re excited to roll out proprietary financial intent to uncover more in-depth insights on the performance of SMBs and create more precise signals for predicting corporate actions.

What is financial intent?

We define financial intent as actions taken by employees of companies on the B2B web that indicate company’s expansion/contraction and propensity to go through specific corporate actions like funding, capital injection or sale of business.

Financial intent is produced by analyzing articles read on 10K+ news and B2B websites including major publishers like Forbes, WSJ, Fortune, Entrepreneur, VentureBeat, TechCrunch, Investopedia, etc.

Each article is analyzed and assigned relevant topics using the latest NLP techniques. The company doing the research is also identified using IP, cookie or mobile identifiers.

This is done at scale for 2B+ daily article reads and tied to 4M+ companies in the US.

Below is an example of raw data showing employees at radius.ai, carallel.com and dealpath.com reading articles about fundraising: 

While employees at newforma.com and zodega.com are reading about valuation:

Because we aggregate the data on a company or job function/seniority level and have rights to produce derived products based on the data, our data products are privacy compliant (GDPR/CCPA) and do not contain any Pii.

Standardized signals and custom insights

To help you make sense of and take action on the underlying data, we’ve produced standardized signals like the CapRaise Score and M&A Score

They are both created by analyzing research activity of companies that have raised or were acquired and then creating ML models that indicate propensity of a company to raise funding or go up for sale in the next 3 – 12 months.

In addition to standardized signals, we can modify our existing signals or run custom queries on the underlying data to answer questions about any group of companies you’re interested in. You can analyze research patterns of a subset of companies on other companies, topics, compare it to another group of companies and understand how they change over time.

 Discover more companies and miss fewer deals

Learn how our data can help you discover 

more companies and miss fewer deals