Competitive analysis

Competitive analysis is the structured assessment of how a business performs against its rivals across share, win rate, pricing, and positioning. Rather than a one-off slide deck, the most useful form is a set of measures tracked over time so the picture stays current. If your team faces a particular competitor in 50 deals a quarter and wins 30 of them, the competitive win rate against that rival is 60 per cent, and the slope of that number matters as much as the level.

It matters because competitive pressure rarely shows up evenly. A blended win rate can look healthy while one specific competitor is quietly winning the deals that matter most. By measuring performance against each named rival separately, competitive analysis identifies which competitor is genuinely taking revenue, in which segments, and on which objections, so the response can be targeted rather than diffuse.

The analysis combines hard outcomes with structured positioning. Outcome measures include competitive win rate, share of deals faced, and loss reasons by competitor. Positioning measures include feature coverage, pricing position, and message clarity against each rival. Read together, they turn scattered field intelligence into a set of numbers a leadership team can actually plan against.

Competitive analysis is measured through a set of per-competitor figures rather than a single score. The anchor is competitive win rate: the share of deals you win when a specific rival is present. Around it sit share of deals faced, loss reasons, and a structured positioning comparison.

Work through the inputs in order, recording the competitor present on every deal so the win rate and loss-reason analysis can be split by rival rather than blurred into one average.

1. 1

   Identify the competitors that actually appear

   List the rivals named in real deals, not every company in the category. Concentrate the analysis on the few competitors that show up often enough to move revenue.

2. 2

   Tag every competitive deal

   Record which competitor was present on each opportunity at the time it closes. This is the foundation for win rate, share of deals, and loss reasons by competitor.

3. 3

   Calculate win rate per competitor

   Divide deals won against each rival by total deals faced against that rival, then multiply by 100. Reading this per competitor exposes the one quietly winning where it counts.

4. 4

   Compare positioning feature by feature

   Map your offer against each competitor on the capabilities and price points that decide deals. Pair the positioning view with the win rate so strengths and gaps are tied to real outcomes.

Competitive performance has a clear chain of cause and effect, which makes it a natural fit for a metric tree. Whether you win against a rival is driven by how often you face them, how you stack up on the objections that decide the deal, and how clearly the differentiation lands. Each link has a different owner across sales, product, and marketing.

The decomposition below separates the levers so a falling competitive win rate can be diagnosed precisely. When you start losing to a specific competitor, the tree shows whether the cause is a feature gap, a pricing objection, or weak messaging, rather than leaving the loss as a vague sense that a rival is gaining ground.

Competitive benchmarks depend on category maturity and where you sit in it, but the shape is consistent: you should win the majority of deals against rivals you are well positioned against, and a falling win rate against any single competitor is an early warning. The ranges below give a rough guide to reading competitive performance in a contested software category.

Improving competitive analysis means tightening the link between what the field sees and what the business does about it. The gains come from cleaner deal data, sharper positioning against the rivals that matter, and a fast loop from a recorded loss to a concrete change. These four practices have the most leverage.

1. 1

   Reading only the blended win rate

   A healthy overall win rate can hide one competitor winning the deals that matter. Always split win rate by named rival so the real threat is not averaged away.

2. 2

   Relying on anecdote over deal data

   A single memorable loss skews perception of an entire competitor. Ground the analysis in tagged deals across the quarter so the picture reflects the pattern, not the loudest story.

3. 3

   Analysing competitors that never appear

   Effort spent on rivals who rarely show up in deals is effort wasted. Concentrate on the competitors that genuinely contest your pipeline and cost you revenue.

4. 4

   Producing a report that nobody acts on

   Competitive analysis that ends in a slide deck changes nothing. Route each finding to the owner who can close the gap, and check whether their action moved the win rate.