What buyers look for
What makes company data worth buying?
Buyers do not pay simply because a dataset is large. They pay for information that gives them an advantage they cannot easily create themselves.
01
Unique
The information comes from your own customers, products, systems, media, or operations. It is not freely available online.
02
Difficult to Recreate
A buyer would need significant time, money, infrastructure, access, or specialized expertise to build the same dataset.
03
Large Enough to Matter
There is meaningful volume, coverage, or historical depth. Relevance and quality matter more than file size alone.
04
Useful
The information can help train, evaluate, improve, or build an AI or technology product for a real use case.
05
Understandable
Your company can explain where the data came from, what it contains, how far back it goes, and how it is generated.
06
Commercially Usable
The company can support buyer diligence and determine, with its advisors, what rights and restrictions apply.
Where value can hide
The dataset may not look like a dataset.
It may be sitting inside software, storage systems, recordings, archives, or ordinary business records.
Conversations
Customer support, calls, transcripts, professional communications, FAQs, and specialized written interactions.
Images and Video
Product imagery, professional media, inspections, real-world footage, annotations, and historical visual libraries.
Commerce and Behavior
Transactions, purchasing patterns, searches, product interactions, conversion activity, and aggregated behavior.
Operational Records
Workflows, decisions, measurements, quality control, logistics, maintenance, and records tied to real outcomes.
Software and Product Data
Product usage, user actions, system events, platform activity, and information created through specialized software.
Expert and Industry Data
Specialized decisions, evaluations, annotations, processes, and knowledge that require real domain expertise.
Quick self-check
If several of these sound familiar, we should talk.
- 01Has the company been collecting the information for years?
- 02Do you have a large volume of records, interactions, or media?
- 03Does the data capture real decisions, actions, outcomes, or workflows?
- 04Would another company struggle to recreate it?
- 05Is the information specific to an industry, customer group, or operating environment?
- 06Does the dataset continue to grow?
Industry is not the deciding factor
Technology
E-commerce
Media
Healthcare
Manufacturing
Logistics
Financial services
Hospitality
Retail
Call centers
Marketplaces
Professional services
What matters is whether the information is unique, useful, scalable, and difficult for a qualified buyer to recreate.
You do not need to know what your data is called.
Tell us how your company operates. We will help identify what may be valuable.