Company segmentation analysis

Company segmentation analysis is the practice of dividing the account base into firmographic groups so that performance can be measured per segment rather than in one aggregate number. Typical segmentation dimensions include company size by headcount or revenue, industry, region, account tier, and acquisition channel. If 40 enterprise accounts contribute 1.2 million pounds out of 3 million pounds in total, the enterprise segment holds a 40 per cent revenue share from a small fraction of the logos.

Segmentation matters because the average hides the accounts that actually drive the business. A company can report a healthy blended retention figure while a fast-growing mid-market segment is quietly leaking. By splitting the base into firmographic groups and reading the core metrics inside each one, you can see which segments carry the revenue, which carry the risk, and which cost more to serve than they return.

The analysis spans the whole account lifecycle at the segment grain. Revenue share shows where money concentrates. Segment-level net revenue retention shows which groups expand and which contract. Cost to serve and customer acquisition cost per segment show where the unit economics work. Read together, they tell you where to lean in and where to pull back.

Company segmentation analysis is a set of per-segment figures rather than a single number. The usual starting point is revenue share: the proportion of total revenue each segment contributes. From there you compute the core metrics independently inside every segment and compare them side by side.

Work through the inputs in order, keeping the account-to-segment assignment fixed so the numbers stay comparable across periods.

1. 1

   Choose the segmentation dimension

   Pick the firmographic attribute most correlated with revenue outcomes, such as company size, industry, or region. Assign every account to exactly one segment so totals reconcile to the whole base.

2. 2

   Calculate revenue per segment

   Sum recognised revenue for the accounts in each segment. Divide by total revenue to get each segment revenue share as a percentage.

3. 3

   Compute core metrics inside each segment

   Calculate retention, expansion, average revenue per account, and acquisition cost independently for every segment so the differences become visible.

4. 4

   Compare segments side by side

   Lay the segments against each other on the same metrics to find where revenue concentrates, where retention is weak, and where cost to serve outpaces return.

Total revenue is the sum of what each segment contributes, which makes segmentation a natural fit for a metric tree. The headline number sits at the top, and the branches below it are the segments, each driven by the same underlying levers of account count, average value, and retention. The tree turns a single revenue figure into a map of where it comes from.

The decomposition below splits revenue by firmographic segment and then by the levers inside each one. When the top number moves, the tree shows whether the change came from the enterprise segment expanding, the SMB segment churning, or the mid-market segment adding logos, rather than leaving the shift as one opaque total.

There is no universal benchmark for segmentation because the segments themselves are bespoke to each business. What is consistent is the shape of a healthy split: revenue concentrates in higher-value segments, retention rises with account size, and cost to serve falls as a share of revenue for larger accounts. The ranges below reflect typical patterns in mid-market and enterprise software portfolios.

Improving company segmentation analysis means making the segments sharper, the metrics inside them trustworthy, and the actions that follow specific to each group. The gains come from choosing dimensions that predict outcomes, keeping segment assignment clean, and tailoring treatment instead of running one motion for everyone. These four practices have the most leverage.

1. 1

   Reading only the blended average

   A healthy aggregate can hide a segment that is contracting fast. Always compute the core metrics inside each segment, not just across the whole base, or the failing group stays invisible.

2. 2

   Too many segments at once

   Splitting on several dimensions together produces segments too small to act on. Start with one dimension that predicts revenue, then layer a second only when the first proves useful.

3. 3

   Letting assignment drift

   Accounts grow and change industry, so a one-time segmentation goes stale. Without a refresh cadence, accounts sit in the wrong segment and every downstream figure is wrong.

4. 4

   Ignoring cost to serve

   A segment can hold a large revenue share while losing money once support and acquisition cost are counted. Segmenting on revenue alone, without margin, hides the accounts that quietly drain the business.