A sales analysis examines how your sales function is built, not how busy it is. It looks at five to seven structural fields: strategy, offering portfolio, customer portfolio, acquisition model, leadership, and the metrics you steer by. The output is not a number but a diagnosis: which field is holding the others back.

That distinction matters more than it sounds. The typical sales report counts activity, because activity is the one thing a CRM records for free. But according to the Salesforce State of Sales, 6th edition, reps spend only 30 % of an average week actually selling. Counting calls and quotes therefore describes, above all, the other 70 %.

30 %of an average week reps actually spend selling (Salesforce, State of Sales 6th ed., n=5,500)
67 %of reps do not expect to hit quota; 84 % missed it the year before (Salesforce, 6th ed.)
52 %of B2B sales organisations rebuilt strategy or business model within three years (Atreus 2025, n=288)
99,7 %of Austrian companies are SMEs, where sales is a role rather than a department (KMU im Fokus 2025)

Activity data vs. structure: what each can explain

Activity data is good at exactly one job: showing you that something changed. It cannot tell you why. If quotes went out and nothing closed, the quote count is the symptom. The cause sits in a structural field: the wrong segment, an offering nobody can compare, an acquisition model resting on a channel that stopped working, or targets nobody translated into weekly behaviour.

That is why a serious look at performance management in sales starts with structure and reads the numbers second. The Atreus B2B-Vertrieb 2025 study of 288 sales executives, over 60 % of them C-level, is a good illustration: the pressures named were competitive pressure (51 %) and falling demand (49.7 %), but the answers companies actually chose were structural, with 52 % rebuilding strategy or business model inside three years.

A five-minute test: take your last three lost deals and name the field that failed in each. If you cannot name one, the problem is not your data. It is a structure that was never described, and no dashboard will describe it for you.

There is a structural reason this hits smaller companies hardest. Per KMU im Fokus 2025, published by the Austrian economics ministry, 99.7 % of Austrian companies are SMEs and they employ 65 % of the workforce, around 2.46 million people. In that size class, sales is usually a role someone carries alongside three other roles. Nobody wrote the process down because nobody had a week free to write it, so the structure lives in one or two heads, and it leaves the company when they do.

The six sales analysis methods, honestly compared

Each method below answers a different question. Choosing the wrong one is the most common reason a sales analysis ends as a report nobody acts on. Read the last column first: it tells you what you actually walk away with.

MethodAnswersEffortNeeds CRM data?You walk away with
KPI analysisWhat changed, and whenLow, if the data is clean YesSymptoms with a timestamp
Structural self-checkWhich field is holding the rest back5 minutes NoA ranked starting point
Funnel and pipeline analysisWhere deals stop movingMedium YesOne or two stages to repair
Customer portfolio analysis (ABC)Who actually carries the companyMedium invoicing data is enoughConcentration risk and upsell room
Win-loss interviewsWhy buyers chose someone elseHigh NoThe reasons behind the win rate
SWOT and benchmarkingHow you sit against the marketMedium NoContext, rarely a next step

When numbers are enough, and when they are not

Start structural when…

  • Sales is a role, not a department, and nobody owns the process

  • Your CRM data is incomplete or nobody in the room trusts it

  • Revenue is fine but the pipeline feels like luck

  • Two colleagues would describe your ideal customer differently

Start with the numbers when…

  • One funnel stage visibly broke last quarter

  • You already know the weak field and only need to size it

  • You are comparing regions or people on the same process

  • A forecast has to be defended next week

How to run a sales analysis in five steps

1

Fix the question before you touch data

Write one sentence: which decision will this analysis change? If you cannot name a decision, you are producing a report, not an analysis.

2

Get a structural baseline, three times over

Answer 9 to 12 questions on strategy, portfolio, acquisition, leadership and metrics. Then have two colleagues answer independently. The disagreement between your answers is the finding, and it is usually the fastest insight of the whole exercise.

3

Pull only the numbers the baseline points at

If the weak field is the acquisition model, you need first-contact data per channel, not a 20-KPI dashboard. Which metric answers which field is laid out in the sales KPI guide.

4

Interview five lost deals, ask the buyer

Ask the buyer, not your own rep. Five honest calls beat any benchmark report, because they name the field that failed in the buyer's own words.

5

Decide one lever, and set a review date

One field, one owner, one date. A sales analysis that produces three parallel initiatives produces none. Put the review in the calendar before you close the document.

The most expensive mistake is analysing quarterly and deciding annually. If the review date is further away than the sales cycle, you will be reading a diagnosis of a company that no longer exists. Keep the loop shorter than one average cycle.

Two free checks: which one fits your situation

Both checks below are free, anonymous, take about five minutes and give you a structural reading rather than a KPI list. They differ in scope, and picking by scope is the whole decision.

The VCC Quick Check covers six dimensions and is the broader organisational sweep, including digitalisation and customer experience. The Vertriebspotenzial-Check goes deeper on the commercial core with seven sales fields, from mission through portfolio to acquisition model. If you are unsure, start with the shorter one: nine questions is a low price for a first bearing.

VCC Quick CheckVertriebspotenzial-Check
Questions912
Dimensions67
FocusMarket, organisation, metrics, leadership, digitalisation, customer experienceMission, strategy, targets, leadership, offering, customers, acquisition
ResultScale 1 to 10 per dimension, overall value with traffic light, one leverScore across seven fields plus the two topics that pay off fastest
Best forA broad first bearing across the whole sales organisationCompanies that suspect the problem sits in portfolio or acquisition
PriceFreeFree

VCC Quick Check: nine questions, six dimensions

A broad structural bearing in about five minutes, with a scale from 1 to 10 per dimension and the one lever to start with.

Start the VCC Quick Check

Vertriebspotenzial-Check: twelve questions, seven sales fields

Goes deeper on the commercial core and names the two topics where work pays off fastest in your case.

Start the sales potential check

Five mistakes that make a sales analysis useless

Why the leadership field decides the other five

In both checks, leadership sits alongside strategy and portfolio as one field among several. In practice it behaves differently: it is the field that decides whether findings in the other fields turn into behaviour. A perfect acquisition model that no one coaches weekly stays a slide.

This is where sales analysis meets people data. If the diagnosis is that targets never reach weekly behaviour, the useful next instruments are manager effectiveness feedback and a structured look at leadership style, not another sales dashboard. The manager effectiveness guide and our overview of free leadership self-assessments cover that side, and people analytics explains how to read both data sets together.

What to do with the result in the first two weeks

A structural result is only worth the first decision it triggers. Week one is for confirmation: pull the two or three numbers that would prove or disprove the weak field, and ask two colleagues to answer the same check so you can see the spread. Week two is for the lever: one field, one owner, one review date.

One more finding from the Salesforce data is worth keeping in view while you decide. Across respondents, most businesses see greater revenue from selling to existing customers than to new ones. If your diagnosis points at the customer portfolio, that is usually the cheapest lever available to you, and it does not depend on any acquisition channel staying open. The B2B customer acquisition guide works through what that means in Austria specifically, where the legal ground for cold outreach is narrower than most guides assume: under § 174 TKG 2021, advertising calls and emails need prior consent, and the WKO summary makes no B2B exception.

The short version

- Activity data shows that something changed, structure shows where. Reps sell 30 % of the week, so activity metrics mostly measure the rest.
- Pick the method by the question: KPI analysis for symptoms, structural check for a starting point, win-loss for reasons.
- Have three people answer the same check independently. The spread between their answers is usually the fastest insight.
- Decide exactly one lever, name an owner, and set a review date shorter than one average sales cycle.
- If the customer portfolio is the weak field, existing customers are typically the cheapest lever, and the one no channel restriction can close.