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Blog · Wallet share and penetration

Whitespace by industry: what an empty cell is on twelve desks

Whitespace is an account-by-product grid with empty cells that similar accounts have filled, and what the product is changes by desk: a category, a practice, a policy line, a strategy, a service line, a site, a programme. This hub gives, for twelve industries, the rows and columns of the grid, what makes an empty cell count, how it is valued, and the guide for each.

The short answerWhitespace is the grid of accounts against product lines, where an empty cell counts only if similar accounts typically fill it, and is valued at what they spend there. On a bank's desk the columns are products; at a law firm, practices; at a broker, lines; at an asset manager, strategies; at an education provider, programmes; at a telecoms provider, products per site. The grid's rows are always the account at the level where the decision is made, and the identity is that the filled cells sum to the ledger.

Whitespace has one shape, a grid, and a different column on every desk. This hub gives, for twelve industries, the rows, the columns, what makes an empty cell count, how it is valued, and where the guide is.

The grid, once

Column 1 Column 2 Column 3
Account A $ $
Account B $ $

Rows: accounts at the decision level. Columns: product lines, ten to thirty. Cells: trailing revenue. Empty cells in expected columns, valued at the norm, are the whitespace.

Twelve desks

Industry Rows Columns Expected if held by Valued at Guide
Commercial banking Relationships at group level Products: lending, deposits, treasury, cards, FX Most customers of the size and sector Median product revenue in the segment Cross-sell measurement
Law firms Clients by originating partner Practices Most clients of the sector and size Median practice fees Referral share
Insurance broking Clients Lines of business Most clients of the sector Median premium per line Placement share
Asset management Intermediaries Strategies in the range Intermediaries holding peer strategies Assets in peer strategies Channel share per strategy
Accounting firms Clients Service lines: compliance, advisory, tax planning Most clients of the size and complexity Median service fee Service line gaps
B2B telecoms Customers Products per site: connectivity, voice, mobile, security Most sites of the type Median product revenue per site Site penetration
Education Contracting entities Programmes Most entities of the type and enrolment Median programme fee Programme fit
Industrial manufacturing Customers Catalogue families Most customers of the segment Median family revenue Catalogue fit
Foodservice Kitchens Categories Most kitchens of the menu type Norm per cover × covers Menu-driven demand
Hotel groups Corporate accounts Properties in the group Accounts of the size in the market Median nights per property Property penetration
Healthcare supplies Facilities Product categories on contract Sister facilities in the system System norm × category purchases Standardisation opportunities
SaaS Accounts Modules and seat tiers Accounts of the segment Median module ARR Whitespace as a number

What is the same everywhere

  • The rows are the decision level; the site or department beneath is a dimension.
  • The columns are lines, not SKUs.
  • Empty cells count only in expected columns; cannot-buy cells are excluded.
  • Filled cells sum to the ledger.
  • Returning columns, bought before and dropped, rank first.

What is different

The column. It is whatever the desk sells as a line, and the norm that says which columns are expected is the desk's own customers of the same kind.

Where it goes wrong, everywhere

SKUs as columns. Whitespace everywhere.

Every empty cell counted. The total is fantasy.

Cannot-buy cells included. The rep learns the list is wrong on the first call.

Grid not reconciled. The filled cells do not sum and the whitespace inherits the error.

One grid, every desk

Covirage builds each desk's grid from its ledger and product list, applies the desk's norm, and values the expected empties with the method stated. The whitespace analysis guide covers the method in general form, and each desk's guide covers its columns.

Questions people ask

What makes an empty cell count?

The norm: the share of similar accounts holding that column. A column held by three quarters of similar accounts is expected; one held by a tenth is not. Empty cells in unexpected columns are excluded, so the list is not padded with things the account does not want.

How is a cell valued?

At the median spend on that column among similar accounts that hold it, scaled by the account's size where the desk has a size measure. The method is stated on every cell.

What about cells that cannot be filled?

An account attribute rules some columns out: a line the client's sector does not need, a programme for an age group the school does not teach. Those are marked cannot-buy from the master and excluded, counted.