Databook's scores give you an outside-in view of which accounts are worth your time, based on publicly available information about each company and on what your organization sells. This article explains what each score measures.
Databook Score
What it is: an indication of how likely a company is to buy your solutions, based on publicly available information about it. It reflects how the company's financial case for change and management intent align with what you sell, together with its business health and where it sits in its buying cycle.
What it is not: a definitive prediction of purchase likelihood. Treat it as an additional, objective input alongside your own qualification, your relationships and any internal propensity-to-buy model you already use.
The four subscores
Subscore | What it measures |
Financial case for change | How pressing the company's financial challenges are, and how well those challenges align with the solutions you sell. Grounded in strengths and weaknesses on key financial metrics compared with its peers. |
Management intent | How often the company references keywords that matter to you, taken from your organization's configured intent topic, relative to its peer group. |
Investor sentiment | Based on total shareholder return over the last twelve months. Strongly positive returns can suggest capacity to invest, and strongly negative returns can flag financial pressure. |
Buying cycle | How a typical deal timeline lines up with the company's annual budgeting cycle. Modelled using an assumed nine-month sales cycle and the company's key decision period. |
If you want more detail behind the score, you can ask for the strengths and weaknesses ratings on the financial metrics that feed the financial case for change.
Use case score
The use case score is a score per use case at each account, so you know which of your solutions to lead with. It considers:
Financial case for change. Whether the use case could improve metrics that are weak or only average at that company, for example revenue growth or gross margin.
Strategic priorities. Whether the use case could advance one or more of the company's stated strategic priorities, based on overlap with priority keywords.
Your commercial priorities. How your own sales organization prioritizes that use case.
Private and public companies
Databook applies the same categories of score to private and public companies, including the Databook Score, strengths and weaknesses, and use case fit. The inputs differ when a private company does not publish usable financial detail.
Public companies. Scored from the company's own disclosed data and market signals, including total shareholder return for investor sentiment.
Private companies that publish financials. Strengths, weaknesses and related scoring use the company's own reported figures. Investor sentiment is the exception: because most private companies have no traded equity, it uses a peer-group stock price index instead.
Private companies that do not publish financials. Financial signals draw on benchmarks and trends from a relevant peer group of public companies. Where the company still publishes usable documents, such as filings or disclosures, those can inform the analysis alongside or instead of peer inference.
Peer-group logic also supports the Databook Score and use case recommendations for private companies, so you get a consistent outside-in view grounded in the best available public data even where company-specific figures are missing.