Investing In Technology To Differentiate Ourselves
One of the greatest challenges in the mid-market sector is the scarcity of reliable and high-quality data.
We have invested significantly to have the ability to gather millions of data points from thousands of sources. More crucially, we employ AI to refine and interpret this data, transforming it into actionable insights.
Unleashing The Power of Intent
What Is Intent Data?
Intent Data consists of behavioral signals collected during online activities. These signals indicate a potential client’s level of interest in either selling or buying a business.
This data encompasses prospects’ web searches, the pages they visit, and the content they consume. It is captured from all online activities, including social media interactions, web browsing, and online purchases.
Does Intent Data Help Both Buyers and Sellers?
Intent Data is a valuable tool for both buyers and sellers.
When a buyer is searching for a specific company profile, intent data enables us to identify numerous companies that match the profile AND have a potential interest in selling. This broadens the range of options for the buyer, showcasing companies that are pursuing a similar outcome.
Conversely, when a company is looking to sell, intent data allows us to pinpoint potential buyers who are interested in that kind of company. A larger pool of buyers often leads to a more competitive bidding process, which can translate to a higher sale price.
Industry Leading Data Collection
What Is Web Scraping?
Web scraping involves using automated software to extract data from websites, transforming it into a structured format for usability.
What Websites Do We Scrape?
We extract data from business registries, databases, press releases, news outlets, trade publications, social platforms, and various other sources. Our focus is on any website offering pertinent information related to business data, M&A trends, and private equity.
Why Is Web Scraping Challening?
Many websites use anti-bot technologies to guard their data against automated scraping attempts. However, our custom scraper, armed with advanced cloaking technology, boasts a success rate of over 98%.
From Raw Data to Real Results
AI Is Revolutionizing How We Use Data
Instead of merely collecting vast amounts of data through web scraping, we employ Artificial Intelligence (AI) algorithms to delve deeper and comprehend the content of the data. For instance, when analyzing LinkedIn posts, AI can discern sentiment, identify trends, and even detect underlying themes. AI has the capability to understand every post we scrape, transforming it into structured data sets that we are easily able to use.
Without examining the raw scraped data directly, we’ve discerned patterns, such as a specific company’s CEO frequently posting on LinkedIn with undertones suggesting he might be looking to sell his company. On the buy side, we detect patterns of acquisitions by private equity firms to determine the types of companies they are likely targeting.
Truth in Data: Filtering Out the Noise
The open-source nature of the internet is a double-edged sword. It allows almost anyone to be a contributor, making more data readily accessible than ever before. However, the downside is that not everything on the internet is accurate or true.
To ensure the accuracy of our datasets, we employ several steps. We conduct regular quality checks using predefined validation rules to identify inconsistencies or anomalies. Moreover, we cross-reference collected data with trusted sources to verify the accuracy of the information. These measures ensure all our data lists are rooted in clarity and precision and have high conversion rates.
