B2B Sales dataset

B2B dataset – a real world dataset (anonymized)

To address the gap in availability of data sets related to B2B sales, we provide one to support scientific research and application of ML to this field. It contains anonymized data from a real-world company, selling software solutions and services internationally. It contains of 448 instances, described with 22 attributes + 1 for outcome status.

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Attribute Description Values
Product Offered product. Product code
Seller Seller’s name. Seller’s code
Authority Authority level at a client side. Low, Mid, High
Company size Size of a company. Big, Mid, Small
Competitors Do we have competitors? No, Yes, Unknown
Purchasing department Is the purchasing department involved? No, Yes, Unknown
Partnership Selling in partnership? No, Yes
Budget allocated Did the client reserve the budget? No, Yes, Unknown
Formal tender Is a tendering procedure required? No, Yes
RFI Did we get Request for Information? No, Yes
RFP Did we get Request for Proposal? No, Yes
Growth Growth of a client? Growth, Stable, etc.
Positive statements Positive attitude expressed? No, Yes, Neutral
Source Source of the opportunity. e.g. Referral, Web, etc.
Client Type of a client. New, Current, Past
Scope clarity Implementation scope defined? Clear, Few questions, etc.
Strategic deal Does this deal have a strategic value? Very important, etc.
Cross sale Do we sell a different product to existing client? No, Yes
Up sale Increasing existing products? No, Yes
Deal type Type of a sale. Consulting, Project, etc.
Needs defined Is client clear in expressing the needs? Info gathering, etc.
Attention to client Attention to a client. First deal, Normal, etc.
Status An outcome of sales opportunity. Lost, Won