Welcome to my field notes!
Field notes are notes I leave myself as I go through my day to day work. The hope is that other people will also find these notes useful. Note that these notes are unfiltered and unverified.
B2B vs B2C Businesses
I’ve worked on many types of firms:
- B2B (EY and First Circle)
- B2C (Yours)
- B2B (Uber Driver Side) and B2C (Uber Rider Side) combined
As much as industries influence what kinds of people exist in an industry (consumer businesses attract marketing types, fintech businesses attract numerate types, and tech companies attract techies), B2B vs B2C is probably the first principal component in differentiating different kinds of jobs. Although there is much to be said about the B2B world eventually resembling more B2C, there are still some key differentiators.
Aspect | B2B | B2C |
---|---|---|
Product Range | Typically one product, with a few variations across pricing and add-on features. A high degree of bundling and cross-selling (sometimes giving the customer no choice on bundling). | Lots and lots of SKUs, there is a wealth of choice and it is expected by the customer. Normally would sell multiple products with promotional bundling. |
Data Volumes | Lower volumes (less rows) and more nuanced data (more columns) | Higher volumes and less nuanced data |
Customer Experience | Definiing the jobs to be done is very important; customers are very deliberate and specific about what they want. | Surprise and delight are very importance; there is a degree of exploration and wandering involved in the experience. |
Sales | Apart from a few standard terms, most stuff is going to be custom. There is an “account manager” managing each customer account. | As standard as possible, the default is no human interaction. Customer support is then critical to save the people who do not have a good experience. |
Data Problems | Compliance of operational personnel with call logs, meeting logs, and other information that would normally be unstructured and require judgment | Adblockers and other technological blockers to proper data collection. |